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X-WR-CALDESC:Events for Department of Aerospace Engineering
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TZID:Asia/Kolkata
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TZOFFSETFROM:+0530
TZOFFSETTO:+0530
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DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20260309T093000
DTEND;TZID=Asia/Kolkata:20260309T170000
DTSTAMP:20260408T064713
CREATED:20260304T103020Z
LAST-MODIFIED:20260304T103020Z
UID:10000117-1773048600-1773075600@aero.iisc.ac.in
SUMMARY:Statistical Discovery for Engineering and Science – a hands-on workshop using JMP®
DESCRIPTION:We are happy announce a one-day hands-on workshop using JMP in the Auditorium of Department of Aerospace Engineering\, IISc on 9th March. Please find below a brief information about the workshop. For a detailed information please visit our website https://abcmc.iisc.ac.in/events/\nOverall Objectives \nIntroduce JMP as a powerful\, user-friendly platform for data visualization\, statistical discovery\, research methods\, predictive modeling\, and Multivariate analysis.\nDemonstrate domain-specific applications of JMP. Facilitate hands-on learning through a practical workshop on Statistics\, Predictive Modeling and data visualization topics.\nHighlight the strategic value of integrating JMP into IISc’s teaching\, learning\, and research ecosystems. \nAbout JMP:\nJMP® (pronounced “jump”) is a powerful statistical discovery software designed for dynamic data visualization\, statistical analysis\, predictive modeling\, and design of experiments (DOE). First launched in 1989\, JMP is developed by SAS Institute Inc.\, a global leader in analytics based in Cary\, North Carolina\, USA.\nWidely used in Industry\, academia\, and research\, JMP combines a highly interactive\, visual interface with robust analytics to help users explore data\, uncover patterns\, and make informed decisions. Its intuitive\, drag-and-drop environment makes it especially popular among scientists\, engineers\, and data analysts who need to perform complex analyses without requiring extensive programming. \nWorkshop Facilitator: Muralidhara A\, PhD | Global JMP Team | 9986431959                                   Dr S. Nagendra\, Aerospace Engineering\, IISc. \nMuralidhara A is part of JMP Global Team. He holds a B Tech\, MBA\, and PhD. He has served more than 23 years in Analytics and Data Science Industry and worked for Genpact\, Target and Danske holding various leadership positions. He is also a trainer in Statistical Data Analysis\, Data Science & ML and DOE (Design of Experiments) and has conducted workshops for both academic and commercial organisations. He has authored many academic case studies and a co-author of the book Machine Learning for Business Analytics from Wiley International Publications. He continues to learn and share thoughts on Statistical Thinking for Problem solving. \nPlease register using the link given below before 6th of March. \nhttps://docs.google.com/forms/d/e/1FAIpQLScOMwQJFFXsGyEGuRjUNz7Ex1sb1um4RxEYoOayrirBtRksWA/viewform?usp=publish-editor \nRegistration to the workshop is free. Only limited seats\, please register at the earliest.
URL:https://aero.iisc.ac.in/event/statistical-discovery-for-engineering-and-science-a-hands-on-workshop-using-jmp/
LOCATION:Auditorium (AE 005)\, Department of Aerospace Engineering
CATEGORIES:Workshops / Conferences
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20260307T090000
DTEND;TZID=Asia/Kolkata:20260307T170000
DTSTAMP:20260408T064713
CREATED:20260306T051722Z
LAST-MODIFIED:20260306T051722Z
UID:10000118-1772874000-1772902800@aero.iisc.ac.in
SUMMARY:Aerospace Engineering Open Day 2026
DESCRIPTION:Indian Institute of Science\, Bengaluru\, as in the previous years\, is organizing an “OPEN DAY” event to show-case its activities to the student community and the general public on Saturday\, 07 March 2026 from 9:00 am to 5:00 pm. \nClick here for Mobile App QR Code (Only Android) \nClick here Mobile App QR Code (Only iOS)  \nClick here for Registration \nClick here for Public Transport \n 
URL:https://aero.iisc.ac.in/event/aerospace-engineering-open-day-2026/
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20260223T160000
DTEND;TZID=Asia/Kolkata:20260223T170000
DTSTAMP:20260408T064713
CREATED:20260220T070846Z
LAST-MODIFIED:20260220T070846Z
UID:10000116-1771862400-1771866000@aero.iisc.ac.in
SUMMARY:"Aerospace power as a critical tool of statecraft”
DESCRIPTION:Air Marshal TD Joseph examines aerospace power as a critical instrument of statecraft\, highlighting\nits strategic\, coercive\, and diplomatic roles in modern conflict and international relations. The latest\nexample is India itself choosing aerospace power as the first instrument of choice to punish the\nenemy as in ‘Op Sindoor’. Drawing on historical and contemporary examples from conflicts across\nthe globe and India’s own operations as well as humanitarian relief missions\, he explains how\nairpower shapes outcomes through compellance\, deterrence\, and soft power applications. Synergy\nbetween aerospace and surface forces\, and technological asymmetry are critical to success. Air\npower lends itself to dual use in both hard and soft diplomacy as well as in nation building.\nUltimately\, aerospace power emerges as a decisive yet complementary tool for achieving national\nobjectives. \nSpeaker : Air Marshal TD Joseph\n\nBiography :\n\nAir Marshal TD Joseph\, AVSM\, VM\, VSM (Retd) was commissioned as a Fighter Pilot in the IAF\non 29th December 1982. He has flown various fighter and trainer aircrafts accumulating over 3800 hours of\nflying. \n\nThe Air Marshal has commanded a frontline Fighter Squadron\, the prestigious Flying Instructors’ School\, and\nAir Force Station Hindan\, near Delhi. He has held important Command and Staff appointments across the\ncountry in field and headquarter organisations. His last appointment was as Senior Air Staff Officer (SASO) of\nTraining Command where he was responsible for ab-initio and in-service training of officers\, airmen and noncombatants\nof the entire IAF. \n\nHe is a Category ‘A’ Qualified Flying Instructor and an Instrument Rating Instructor & Examiner; alumnus\nNational Defence Academy\, Pune and DSSC Wellington. He attended Royal College of Defence Studies\,\nLondon\, has master’s Degrees from University of Madras and King’s College London\, and MPhil from\nUniversity of Madras. Besides graduating at the top of his Air Force Course\, the Air Marshal stood First in\nJungle & Snow Survival Course\, Instrument Rating Instructor &Examiner Course\, and Air Staff Course. \n\nAuthor of a book entitled “Winning India’s Next War” (2007)\, he has written chapters in edited books and other\npublished articles on air strategy and security. \n\nAir Marshal Joseph was conferred with the Presidential awards of Vayusena Medal in 2003\, Vishsisht Seva\nMedal in 2010 and Ati Vishsisht Seva Medal in 2021. The Air Marshal hung his blue uniform on 31st July 2021\nafter 38 ½ years of service. \n\nHe is married to Mrs Sophie Joseph\, an educator\, and they have two sons\, the elder one with the World Bank\,\nand the younger one\, an aviator with Indigo Airlines
URL:https://aero.iisc.ac.in/event/aerospace-power-as-a-critical-tool-of-statecraft/
LOCATION:Auditorium (AE 005)\, Department of Aerospace Engineering
CATEGORIES:AE Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20260217T110000
DTEND;TZID=Asia/Kolkata:20260217T130000
DTSTAMP:20260408T064713
CREATED:20260213T055505Z
LAST-MODIFIED:20260213T055505Z
UID:10000115-1771326000-1771333200@aero.iisc.ac.in
SUMMARY:Ph.D. (Engg) :Experimental Investigation of Autoignition Pathways and Shock-Train Dynamics During Mode Transition in a Dual-Mode Supersonic Cavity Combustor
DESCRIPTION:Hypersonic propulsion systems capable of sustained atmospheric flight are critical enablers for future reusable launch vehicles\, long-range high-speed transport\, and responsive global strike platforms. Among the various air-breathing concepts\, scramjet engines offer unmatched efficiency at hypersonic speeds by utilizing atmospheric oxygen and avoiding the mass penalties associated with onboard oxidizers. However\, the practical realization of scramjet propulsion is fundamentally constrained by two interrelated challenges: reliable ignition and flame stabilization under extremely short residence times\, and robust operation across a wide flight envelope that necessitates smooth transition between supersonic (scramjet) and subsonic (ramjet) combustion modes. Dual-mode scramjets (DMSJ) are designed to address this requirement\, but their operability is limited by complex\, strongly coupled interactions between shock structures\, boundary-layer separation\, fuel-air mixing\, chemical kinetics\, and unsteady pressure fields during mode transition. A central difficulty in hypersonic combustors is that global flow conditions typically yield Damköhler numbers well below unity\, rendering conventional flame-holding ineffective. Localized enhancement of thermochemical coupling through elevated temperature\, pressure\, and residence time is therefore essential to initiate and sustain combustion. Cavity-based flameholders have emerged as a promising solution due to their passive\, low-drag configuration and ability to generate recirculation zones that promote autoignition and flame anchoring. Nevertheless\, cavity-stabilized combustors introduce additional challenges: strong sensitivity to geometry\, concentration of thermal loads\, susceptibility to unsteady shear-layer oscillations\, and complex coupling with shock-train dynamics during scram-to-ram transition. Despite extensive cold-flow investigations of isolator shock trains\, their behaviour under reacting\, high-enthalpy conditions where heat release actively modifies the flow remains insufficiently characterized. This doctoral research discusses a systematic experimental investigation of autoignition pathways\, flame stabilization mechanisms\, and shock-train dynamics in a cavity-stabilized dual-mode supersonic combustor. Experiments are conducted in a direct-connect high-enthalpy facility at the Advanced Propulsion Research Laboratory (APRL)\, Indian Institute of Science. The combustor operates at flight relevant conditions of total temperature of 1500 ± 30 K and static pressure of 43 kPa\, which corresponds to Mach 5.5 flight conditions at 28 km altitude. The experimental test article features an optically accessible supersonic combustor with a single/twin cavity configuration and is designed for an inlet Mach 2.5. Time-resolved Schlieren imaging\, CH* and C2* chemiluminescence\, and high-frequency wall-pressure measurements are employed to resolve unsteady flow-flame interactions governing ignition and mode transition. Two cavity geometries with identical depth but different length-to-height ratios (L/H = 5 and 8.5) were examined to quantify the influence of geometry on ignition robustness and shock–flame coupling. For the L/H = 5 configuration\, ethylene ignition occurred downstream in the diverging duct at a global equivalence ratio of ϕg ≈ 0.3\, followed by upstream flame propagation and eventual stabilization along the shear layer. In contrast\, the L/H = 8.5 cavity enabled earlier and more robust ignition upstream\, triggered by shock-assisted autoignition behind an X-type shock formed through interaction between the cavity reattachment shock and a top-wall separation bubble. The larger cavity generated stronger pressure deficits\, deeper shear-layer penetration\, and self-sustained oscillations at approximately 527 Hz\, highlighting the critical role of cavity geometry in enhancing local Damköhler numbers. Optical diagnostics technique of two-wavelength chemiluminescence (CH* and C2*) revealed ignition kernels forming preferentially in high-temperature lean regions before stabilizing near stoichiometric zones. Shock-induced compression was shown to significantly reduce ignition delay\, enabling autoignition even for fuels with substantially longer chemical timescales. Fuel-blending experiments established a limiting ignition-delay threshold\, providing quantitative guidance for fuel selection in practical hypersonic combustors. The scram-to-ram mode transition occurred at ϕg ≈ 0.58 for both geometries and was marked by the formation of a pre-combustion shock train\, initiated due to combustion induced boundary layer separation. The L/H = 8.5 cavity sustained stable ram-mode operation\, whereas the L/H = 5 configuration frequently reverted to early scram-mode behavior\, indicating weaker shock-flame coupling and reduced buffering capacity against back-pressure fluctuations. Scaling analysis of shock-train dynamics yielded Strouhal numbers (St) an order of magnitude lower than the reported values in the literature based on isothermal shock-train oscillation studies. This demonstrated the dominant influence of heat release and shock-train coupling. Proper orthogonal decomposition (POD) analysis further revealed tight coupling between shock-train motion and upstream flame propagation\, identifying critical regions in the combustor with substantial heat release fluctuations. Finally\, symmetric dual-cavity configurations were explored to assess coupled shear-layer dynamics. While dual cavities enhance residence time\, their interaction introduces additional unsteady modes\, underscoring the need for geom etry-aware stabilization strategies. Overall\, this work directly addresses critical propulsion challenges for hypersonic vehicles by elucidating the mechanisms governing ignition reliability\, shock-assisted autoignition\, and mode-transition stability in cavity-based dual-mode scramjets. The findings provide mechanistic understanding and scalable design guidelines essential for the development of robust\, operable hypersonic air-breathing propulsion systems. \n  \nSpeaker :  Sumit Lonkar \nResearch Supervisor: Pratikash Prakash Panda
URL:https://aero.iisc.ac.in/event/ph-d-engg-experimental-investigation-of-autoignition-pathways-and-shock-train-dynamics-during-mode-transition-in-a-dual-mode-supersonic-cavity-combustor/
LOCATION:STC Seminar Hall\, Dept. of Aerospace Engineering
CATEGORIES:Thesis Colloquium / Defence
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20260211T150000
DTEND;TZID=Asia/Kolkata:20260211T170000
DTSTAMP:20260408T064713
CREATED:20260203T104201Z
LAST-MODIFIED:20260203T104201Z
UID:10000114-1770822000-1770829200@aero.iisc.ac.in
SUMMARY:AE Seminar-Dr Maanasa Bhat: Low-cost and Low-emissions Strategies for Resolving Challenges in the Hydrogen Supply Chain
DESCRIPTION:Abstract: \nThe Net Zero Emissions 2050 (NZE 2050) initiative sets an ambitious target to eliminate net CO2 within the next two decades. Achieving this goal demands widespread decarbonization across energy\, transportation\, residential\, and industrial sectors. Carbon-free and carbon-neutral fuels are central to this effort. Hydrogen\, an abundant\, high-energy-density\, carbon-free fuel is expected to play a critical role in this transition. While hydrogen is already used in sectors such as chemical production and refining\, expanding its role into transportation and electricity generation requires significant infrastructure development. Key challenges include improving production technologies\, enhancing storage safety\, enabling long-distance transport\, and ensuring economic viability. \nThe current talk discusses low-cost and low-emissions strategies to tackle challenges across three stages of the hydrogen supply chain: production\, storage\, and transportation. Both experimental methodology and big-picture techno-economic and life cycle analysis approaches are utilized as needed. For the production stage\, a low-cost spray synthesis method is investigated for manufacturing mixed metal oxides for potential catalyst use. For hydrogen storage\, improvement of operational safety is discussed by studying the development of highly sensitive hydrogen leak detection sensors working on the chemiresistive principle. For transportation\, a techno-economic and life cycle assessment of intercontinental hydrogen delivery from Australia to Japan is conducted to evaluate the feasibility of using hydrogen carriers such as methanol\, e-LNG and ammonia. Together\, these contributions present economically and environmentally viable strategies to support hydrogen infrastructure development by improving production efficiency\, ensuring safe storage\, and enabling long-distance transportation\, thereby accelerating progress toward NZE 2050 goals. \nAbout the Speaker: \nDr. Maanasa Bhat is a recent PhD graduate from the Department of Mechanical Engineering at Massachusetts Institute of Technology (MIT)\, Cambridge MA\, USA. She conducted her PhD research at the Deng Energy and Nanotechnology Group (PI: Prof. Sili Deng) and the MIT Energy Initiative (PI: Dr. Guiyan Zang). Her research focus is on the development of materials and processes for applications in energy storage and conversion. She is particularly interested in clean energy applications\, focusing on carbon-free fuels and Li-ion batteries. Her approach utilizes both experimental methodologies to tackle fundamental questions and techno-economic and life cycle analysis for problem-solving on a larger scale. She graduated with a Master of Technology (By Research) in 2019 from the Department of Aerospace Engineering at Indian Institute of Science (IISc)\, Bengaluru. She was a recipient of the NASAS medal for best academic performance. She has a Bachelor of Engineering in Mechanical Engineering from R.V College of Engineering\, Bengaluru. In addition to research\, she has a keen interest in community engagement and has served in leadership roles as the President of the Indian Students Association at MIT and Chairman of IISc Kannada Sangha Nityotsava.
URL:https://aero.iisc.ac.in/event/ae-seminar-dr-maanasa-bhat-low-cost-and-low-emissions-strategies-for-resolving-challenges-in-the-hydrogen-supply-chain/
LOCATION:STC Seminar Hall\, Dept. of Aerospace Engineering
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20260209T111500
DTEND;TZID=Asia/Kolkata:20260209T130000
DTSTAMP:20260408T064713
CREATED:20260202T091939Z
LAST-MODIFIED:20260204T061202Z
UID:10000113-1770635700-1770642000@aero.iisc.ac.in
SUMMARY:Ph.D. (Engg) : Multi-Agent Coordination using Convex Formations and Binary Tree Structures
DESCRIPTION:Multi-agent systems are increasingly deployed in missions involving large-scale tasks with complex objectives that are beyond the capability of a single agent. Such missions demand computationally efficient coordination strategies that ensure safety\, reliable operation\, and ease of implementation\, particularly in dynamic and uncertain environments. This thesis investigates coordination strategies in multi-agent systems\, specifically addressing the problems of distribution of agents on an enclosing boundary\, cooperative target capture and containment\, and traversal through constrained spaces.\n\nThe first part of the thesis presents a convex layer-based strategy that assigns collision-free paths to a swarm of point-sized agents to reach an enclosing circular boundary. Leveraging the construction of convex layers from the initial positions of agents\, a novel search space for an agent on a convex layer is defined as an angular region enclosed between the lines passing through the agent’s position and normal to its supporting edges. A goal assignment policy is proposed\, which designates a unique goal position on the boundary within the search space of an agent. Subsequently\, the proposed framework is extended to polygonal boundaries\, considering disc-shaped agents. Therein\, the proposed policy assigns a goal position to each agent in order of decreasing overlap between their search spaces and the polygonal boundary\, while excluding angular regions corresponding to already assigned goal positions. Further\, a layer-wise speed assignment rule is proposed\, which ensures collision-free trajectories for the agents. Simulation studies assess the proposed method under various real-world considerations\, including the finite size of the agents\, a six-degree-of-freedom quadrotor model\, uncertainties in initial position information\, and communication delays.\n\nIn the second part\, the problem of multiple pursuers engaging a single evader is considered in two complementary scenarios. Firstly\, the problem of capturing the evader in an unbounded region is addressed. As the key construct\, the evader’s proximity region is characterized by the region generated by the Voronoi diagram constructed using the positions of the pursuers and the evader. Pursuers’ velocity inputs are deduced as a function of the position and velocity of the vertices of the evader’s proximity region and the evader. A motion policy is proposed that directs the vertices of the evader’s proximity region toward its centroid\, under which the region is analytically shown to shrink exponentially over time\, irrespective of the evader’s motion policy. In addition\, using the Chebyshev radius of the proximity region\, an upper bound on the time of evader capture is derived. Simulation studies demonstrate the effectiveness of the proposed method under various evader maneuvers and in scenarios where evader position information is noisy. In a scenario complementary to evader capture\, a containment problem is considered\, wherein multiple pursuers are desired to encapsulate a moving evader. Considering the engagement between the evader and the centroid of the convex hull of pursuers\, a variable deviated pursuit guidance law is proposed\, which achieves a tail-chase rendezvous between the evader and the centroid. Subsequently\, a cooperative control strategy is presented\, which drives the convex hull of pursuers to confine the evader through a prescribed edge while preserving the formation rigidity. Simulation results demonstrate the efficacy of the proposed method under various evader maneuvers.\n\nThe final part of the thesis addresses the problem of sequential traversal of multiple UAVs through a narrow gap. A hierarchical binary tree is constructed with its nodes defined by the UAVs’ initial positions and the gap entry point\, presenting a routing framework that provides an ordered sequence of waypoints to each UAV. A cost function is formulated that accounts for the UAV path lengths and the angles between branches at the tree nodes\, and a binary tree is constructed by minimizing that cost using a genetic algorithm coupled with a greedy strategy. In conjunction\, a decentralized scheduling policy is proposed\, in which each UAV is assigned conflict-free time slots at nodes that are identified with potential collisions. Simulation scenarios illustrate the effectiveness of the proposed method\, and Monte Carlo studies assess its scalability.\n\nOverall\, the thesis presents deterministic and computationally efficient multi-agent coordination strategies by leveraging ideas from convex geometry and binary trees. Experimental flight trials on a nano-quadrotor platform are also conducted\, further demonstrating the practicality of the proposed coordination methods.\n\nSpeaker : Gautam Kumar \n\nResearch Supervisor : Ashwini Ratnoo
URL:https://aero.iisc.ac.in/event/ph-d-engg-multi-agent-coordination-using-convex-formations-and-binary-tree-structures/
LOCATION:STC Seminar Hall\, Dept. of Aerospace Engineering
CATEGORIES:Thesis Colloquium / Defence
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20260119T150000
DTEND;TZID=Asia/Kolkata:20260119T170000
DTSTAMP:20260408T064713
CREATED:20260116T043058Z
LAST-MODIFIED:20260119T103611Z
UID:10000112-1768834800-1768842000@aero.iisc.ac.in
SUMMARY:Ph.D. (Engg) :  Turbulence Energy Cascade in Physical  Space in a Turbulent Channel Flow
DESCRIPTION:A comprehensive investigation of the energy and enstrophy cascade in physical space in a turbulent channel flow is presented for four Reynolds numbers. Bandpass filtering techniques are employed to isolate scales and quantify inter-scale interactions through kinetic energy flux\, enstrophy generation\, and enstrophy flux. Two bandpass filter formulations used in the literature are quantitatively assessed by comparing the output.\nThe mean energy and enstrophy cascades are shown to be predominantly local for all the Reynolds numbers. Away from the wall\, the degree of locality decreases while a broader range of scales participate in the cascade. Interestingly the distance at which the inter-scale flux peaks shows a distance-from-wall scaling\, implying relevance of the attached-eddy formalism to energy cascade in scale space (in addition to its relation ​ to momentum transport in physical space). Vorticity stretching as the underlying mechanism of cascade is studied through vorticity alignment statistics. The vortices show preferential alignment with intermediate eigenvector for smaller scale ratios and closer to the wall\, while alignment with the most extensional eigenvector is observed at larger scale ratios and away from the wall. The preferential alignment shows a complex dependence on the wall-normal distance\, suggesting that the wall has important influence on both energy transfer rates and the geometry of structures. Notwithstanding this\, the contribution from most extensional eigenvector dominates enstrophy generation for all conditions. The scaling of energy flux with scale size\, scale ratio\, wall-normal distance\, and Reynolds number is obtained using dimensional arguments and is validated against numerical results.  As the cascade progresses\, the energy at small scales gets concentrated in a small region of space\, reflected as intermittency in enstrophy and energy fluxes. The skewness and kurtosis increase at smaller length scales but they show weak increase with the Reynolds number. The morphology of energy flux and enstrophy iso-surfaces are characterized through Minkowski functionals. Enstrophy structures at small scales are like flattened long tubes\, while large-scale structures are blob-like or short-tube-like. The large-scale structures generally exhibit lower values of filamentarity. Energy flux structures show a similar behaviour\, with near-wall structures being more flattened compared to those farther from the wall. These findings remain unaffected by an increase in threshold for getting the iso-surfaces.\nOverall\, the present study provides new insights into the locality\, scaling\, and morphology of the energy and enstrophy cascade in the channel flow\, offering a unified framework for interpreting multi-scale turbulence dynamics in wall-bounded flows.\n\nSpeaker :  Aditya Anand\n\nResearch Supervisor :  Sourabh Suhas Diwan
URL:https://aero.iisc.ac.in/event/ph-d-engg-turbulence-energy-cascade-in-physical-space-in-a-turbulent-channel-flow/
LOCATION:STC Seminar Hall\, Dept. of Aerospace Engineering
CATEGORIES:Thesis Colloquium / Defence
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20260116T160000
DTEND;TZID=Asia/Kolkata:20260116T170000
DTSTAMP:20260408T064713
CREATED:20260113T100659Z
LAST-MODIFIED:20260113T100659Z
UID:10000111-1768579200-1768582800@aero.iisc.ac.in
SUMMARY:Ph.D. (Engg) : Development of an ultra-miniature wall-shear-stress sensor
DESCRIPTION:Shear stress at the wall is a quantity of fundamental importance in wall-bounded flows. It determines skin-friction drag and the dynamics of flow separation. From an engineering standpoint\, it is a key parameter which dictates the overall aerodynamic performance and structural loading of flight vehicles. Hence\, there is a natural motivation for the development of new techniques and sensors that can offer well-resolved measurements of wall shear stress. Conventionally\, the techniques of hot-film anemometry and oil-film interferometry are used for wall-shear-stress measurements. These techniques\, however\, are severely limited in the spatio-temporal resolution that they can offer. Advances in micro and nano-fabrication techniques over the past three decades have led to the advent of MEMS-based floating element sensors. While MEMS sensors offer better resolution than conventional methods\, the inertia of the floating element limits their temporal response. Miniaturizing the sensing element of the thermal anemometry probe is a viable solution to obtain high-resolution measurements. This approach has been successfully demonstrated with velocity measurements in turbulent flows with ultra-miniature hot-wire probes\, which are able to fully resolve the turbulence spectrum even at high Reynolds numbers.\n\nMotivated by the success of ultra-miniature hot-wire probes in velocity measurements\, the present effort is directed at the development\, fabrication\, and demonstration of an ultra-miniature sensor\, based on the principles of thermal anemometry\, for wall-shear-stress measurements. The sensor design essentially consists of platinum filaments deposited on a thermally oxidized silicon substrate with electrical contact pads. The fabrication is carried out by oxide growth on a clean silicon wafer\, followed by two-layer electron beam lithography\, metal deposition\, and lift-off processes. Titanium is used for adhesion in the first layer\, followed by platinum deposition for the sensing element in the second layer. Dry reactive ion etching is used\, when needed\, to suspend the sensing element. Basic voltage-current characterization of the sensor is carried out prior to packaging of the sensors for use.\n\nA demonstration of the sensor is made in a turbulent boundary layer flow. The packaged sensor is integrated onto a flat plate in a low-speed wind tunnel facility\, and wall-shear-stress measurements are made in the turbulent boundary layer flow over the flat plate in the momentum thickness Reynolds number range of 1500 to 2500. The sensor is calibrated in the boundary layer flow in an in-situ manner by estimating the mean wall-shear-stress through hot-wire measurements of the flow velocity profile at different freestream velocities. The sensor fully resolves the spectrum of turbulent fluctuations in wall shear stress. The probability density distributions of wall-shear-stress fluctuations are found to match well with data reported in the literature\, thereby validating the sensor’s performance. Overall\, this work demonstrates the viability of making high-fidelity wall-shear-stress measurements using ultra-miniature thermal anemometry sensors. It lays the foundation for the development of a practical sensing tool for application outside the laboratory\, in a real-world environment.\n\nSpeaker : Keshanjali Gaur\n\nResearch Supervisor : Prof. Duvvuri Subrahmanyam
URL:https://aero.iisc.ac.in/event/ph-d-engg-development-of-an-ultra-miniature-wall-shear-stress-sensor/
CATEGORIES:Thesis Colloquium / Defence
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20260112T160000
DTEND;TZID=Asia/Kolkata:20260112T170000
DTSTAMP:20260408T064713
CREATED:20260109T053022Z
LAST-MODIFIED:20260112T112429Z
UID:10000110-1768233600-1768237200@aero.iisc.ac.in
SUMMARY:Ph.D. (Engg) : Compression & LVI of closed-cell metallic foam
DESCRIPTION:Innovative high-performance structural designs play a critical role in mitigating insecure events such as low-velocity and ballistic impacts. These events involve significant kinetic energies\, requiring structures that are lightweight\, safe\, and capable of absorbing energy effectively. Closed cell metallic foams have been widely adopted in aerospace\, marine\, civil\, mechanical\, and automotive industries due to their superior resistance to such impacts. Despite extensive research over the years\, further advancements are still required in the design of lightweight protective structures. In impact applications\, the impactor need not always strike perpendicular to the structure. Characterization of dissipation energies \, impact load histories\, and load–displacement curves under varying impact angles revealed\, Contact force intensity and penetration time decrease as the impact angle increases. Energy absorption increases while penetration time decreases with increasing impact angle. Contact force decreases and contact time increases as the angle decreases. Displacement under oblique impact increases with increasing angle. The study was extended to finite element simulations of low-velocity impact behaviour in silicon–aluminium composite foams using ABAQUS/Explicit®. Numerical estimations of both full and partial damage were carried out for different impactor shapes and velocities. Key parameters such as dissipation energies\, impact load histories\, and load–displacement behaviour under penetration were systematically reported. The numerical scheme was validated against available experimental results\, confirming the accuracy and reliability of the model. The following observations were made: Impact velocity effects: Contact force intensity and penetration time decrease with increasing impact velocity. Energy absorption increases while penetration time reduces as velocity increases. Impactor nose radius effects: Contact force reduces with smaller nose radii. Contact time is enhanced as the nose radius decreases. Impactor shape effects: The computed energy absorption effectiveness factor revealed that performance depends not only on material properties but is also strongly influenced by the geometry of the impactor. The study was further extended to numerical simulations of aluminium foam subjected to low velocity impacts. Both full and partial damage estimations were performed on foam samples across varying impact energies and thicknesses. Dissipated energy\, impact load histories\, and load–displacement responses were systematically reported under different penetration conditions. Foam samples with a thickness of 10 mm exhibited bending and global failure\, characteristic of thin plate behaviour. In contrast\, samples thicker than 10 mm underwent local failure\, displaying behaviour typical of thick plates. For partial penetration cases\, contact force\, dissipated energy\, deformation\, and penetration time all increased with rising impact energy. For fully penetrated samples\, contact force\, dissipated energy\, and deformation increased monotonically with impact energy\, while penetration time decreased significantly. Across all aluminium foam samples\, greater thickness led to monotonic increases in contact force\, dissipated energy\, deformation\, and contact time. These findings underscore the critical influence of plate thickness in governing the impact resistance of aluminium foam structures. Furthermore\, closed cell foam was modelled at the mesoscale to replicate the intrinsic geometry of real foam structures. LVT based 3-D models were employed to generate complex morphologies\, including irregular pore sizes\, uneven cell wall thicknesses & geometric variability. Morphological parameters such as equivalent diameter & sphericity factor were used to quantify pore size & irregularities. The influence of pore number & porosity on cell wall thickness was examined & the quasi-static compressive behaviour was assessed through load-displacement & stress-strain responses\, alongside energy absorption & plastic dissipated energies. Results revealed that plateau strength exhibited only a marginal increase with pore number\, while energy absorption showed a slight counterintuitive decline. Plastic dissipation energy increased monotonically with increasing pore number. Conversely\, increasing porosity led to a monotonic decrease in yield point\, energy absorption capacity & plastic dissipation energy. The study underscores that energy absorption capacity is strongly governed by porosity\, cell wall thickness & pore size. These parameters must be incorporated into the design of closed-cell foams to ensure safe & reliable performance in protective structural applications. \n  \nSpeaker: THIMMESH T \nResearch Supervisor: Dineshkumar Harursampath
URL:https://aero.iisc.ac.in/event/ph-d-engg-compression-lvi-of-closed-cell-metallic-foam/
LOCATION:STC Seminar Hall\, Dept. of Aerospace Engineering
CATEGORIES:AE Seminar
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2026/01/Thim.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20260105T150000
DTEND;TZID=Asia/Kolkata:20260105T170000
DTSTAMP:20260408T064713
CREATED:20260102T070038Z
LAST-MODIFIED:20260106T051847Z
UID:10000109-1767625200-1767632400@aero.iisc.ac.in
SUMMARY:Constructive Role of Noise in Oscillator Networks
DESCRIPTION:he constructive role of temporal disorder (random noise) in facilitating responses of nonlinear systems will be explored in this talk\, through a combination of experimental and numerical investigations. In particular\, nonlinear oscillators and nonlinear oscillator arrays will be considered. These oscillator systems represent models of micro-scale and macro-scale systems and energy harvester systems. It is discussed how noise can be used to transition from one dynamic to another\, including transition from a chaotic state to a periodic state\, influence energy localization\, and realize synchronization.\n\nSpeaker: Prof. B. Balachandran\n\nBiography:\n\nDr. Balachandran received his B. Tech (Naval Architecture) from the Indian Institute of Technology\, Madras\, India\, M.S. (Aerospace Engineering) from Virginia Tech\, Blacksburg\, VA and Ph.D. (Engineering Mechanics) from Virginia Tech. Currently\, he is a Distinguished University Professor and a Minta Martin Professor at the University of Maryland\, where he has been since 1993. His research interests include applied physics\, applied mechanics\, applied mathematics\, nonlinear phenomena\, dynamics and vibrations\, and control. The publications that he has authored/co-authored include a Wiley textbook entitled “Applied Nonlinear Dynamics: Analytical\, Computational\, and Experimental Methods” (1995\, 2004)\, a Thomson/Cengage textbook (2004\, 2009) and a Cambridge University Press textbook (2019) entitled “Vibrations\,” and a co-edited Springer book entitled “Delay Differential Equations: Recent Advances and New Directions” (2009). He holds four U.S. patents and one Japan patent\, three related to fiber optic sensors and two related to atomic force microscopy. He has served as the Editor of the ASME Journal of Computational and Nonlinear Dynamics\, a Contributing Editor of the International Journal of Non-Linear Mechanics\, and a Deputy Editor of the AIAA Journal. He is an ASME Fellow\, an AIAA Fellow\, an Honorary Fellow of the Royal Aeronautical Society\, an ASA full member\, and an IEEE Senior Member. He is a recipient of the ASME Melville Medal\, the Thomas Caughey Dynamics Medal\, the Den Hartog Award\, & the Lyapunov Award\, the ASCE Engineering Mechanics Institute Robert Scanlan Medal\, and the AIAA Pendray Aerospace Literature Award. He served as the Chair of the Department of Mechanical Engineering at the University of Maryland from May 2011 to December 2023 and ASME Applied Mechanics Division from 2018 to 2019.
URL:https://aero.iisc.ac.in/event/constructive-role-of-noise-in-oscillator-networks/
LOCATION:Auditorium (AE 005)\, Department of Aerospace Engineering
CATEGORIES:AE Seminar
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2026/01/Balachandran.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20260105T110000
DTEND;TZID=Asia/Kolkata:20260105T130000
DTSTAMP:20260408T064713
CREATED:20260102T043026Z
LAST-MODIFIED:20260105T113025Z
UID:10000108-1767610800-1767618000@aero.iisc.ac.in
SUMMARY:Ph.D. (Engg) :Studies on the Mixing Layer Between Supersonic Supersonic Co-flows
DESCRIPTION:Two supersonic streams merging together in a co-flow configuration are encountered in several engineering systems\, such as high-speed propulsion devices and supersonic ejectors. The thin mixing layer that develops between the two streams is dominated by compressibility effects and is prone to shock interactions in shock-dominated flows. The convective Mach number is defined relative to dominant large-scale structures in the mixing layer and is typically used to characterise the mixing layer. A key observation from previous studies on canonical supersonic-supersonic mixing layers having zero streamwise pressure gradient (ZPG-ML)\, which has a significant bearing on system design\, is that the growth of the mixing layer is significantly reduced as the convective Mach number increases. In applications\, however\, streamwise pressure gradients can exist due to the flow topology\, but there are very few studies on the effects of the streamwise pressure gradient on the growth of mixing layers (SPG-ML)\, especially in shock-dominated flows\, which motivates this study. Further\, there is a need to enhance mixing rates for compact design\, which can be carried out using passive geometric modifications\, and the effects of techniques such as discrete injection through holes and vortex generators like lobes on SPG-ML are not well studied. We study the mixing layer between supersonic-supersonic coflows in a specially designed supersonic mixing layer experimental facility\, and using high-fidelity Large Eddy Simulations carried out using the OpenFOAM framework. The Mach number combinations of the two streams (2.0\, 3.0) and (2.5\, 3.0)\, with a typical convective Mach number of 0.23\, are investigated. The flow is experimentally examined using high-speed schlieren and wall static pressure measurements. First\, the LES framework is validated on existing experimental/DNS computations on ZPG-ML\, and the computations are found to simulate the mixing layer characteristics well. The flow topology of the SPG-ML involves the generation of an oblique shock and an expansion fan at the point of confluence\, as well as the development of the mixing layer downstream in the presence of a streamwise pressure gradient. The shock further reflects from the wall and impinges on the mixing layer. The wall static pressure profiles obtained from the LES simulations agree well with the experimental wall static pressure measurements. The mixing layer growth rate of the SPG-ML before shock interaction is 15% higher than ZPG-ML. Shock interaction significantly increases the three-dimensionality of the turbulent structures in the mixing layer\, particularly in the p resence of high baroclinic torques\, and enhances the growth rate. In the current study\, the mixing layer is found to curve after the shock interaction\, thereby sustaining an increase in the mixing layer growth rate compared to previous studies. Two different techniques of introducing streamwise vortices into the mixing layer are investigated\, the first where discrete holes connect the high-pressure side to the low-pressure side\, leading to a jet into the supersonic stream\, generating counter-rotating vortices. In the second technique\, elliptic lobes generate large streamwise vortices. Both techniques are found to increase the mixing layer growth rate before the interaction. Shock interaction is found to break up vortices and promote three-dimensionality in the milder case of the jet through the holes. In the case of lobes\, the streamwise vortices are strong enough to retain their connectedness despite getting significantly modified by the shock interaction. These observations have implications for the application of such techniques to enhance mixing in shock-dominated flows. Detailed comparative investigations of different supersonic-supersonic mixing layer configurations are examined using experiments and LES data \n  \nSpeaker:  PANCHABUDHE LAKHAN MADANJI  \nResearch Supervisor: Srisha Rao M V
URL:https://aero.iisc.ac.in/event/ph-d-engg-studies-on-the-mixing-layer-between-supersonic-supersonic-co-flows/
LOCATION:STC Seminar Hall\, Dept. of Aerospace Engineering
CATEGORIES:Thesis Colloquium / Defence
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2026/01/PANCHABUDHE-.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251230T103000
DTEND;TZID=Asia/Kolkata:20251230T130000
DTSTAMP:20260408T064713
CREATED:20251229T130027Z
LAST-MODIFIED:20251231T083130Z
UID:10000107-1767090600-1767099600@aero.iisc.ac.in
SUMMARY:Ph.D. (Engg) : Enhancing Precise Label Prediction and Imbalance Robustness in Multi-Label Learning
DESCRIPTION:Multi-label learning (MLL) addresses learning problems in which a single data instance may simultaneously belong to multiple semantic categories. This formulation arises naturally in many real-world applications\, including image and video understanding\, medical diagnosis\, text categorization\, and bioinformatics. In many of these settings\, it is not sufficient to merely rank relevant labels higher than irrelevant ones; instead\, models must accurately identify the exact set of labels associated with each instance. Such exact label prediction is critical when each label carries direct semantic or operational meaning\, for example when detecting disease conditions in medical data or identifying pedestrians and traffic signs in autonomous driving scenes. In addition\, real-world deployments frequently expose multi-label models to out-of-distribution (OOD) inputs caused by domain shifts\, novel concepts\, or evolving environments\, making reliable OOD detection an important requirement. Many practical applications are also sequential in nature\, where data and label spaces evolve over time\, leading to the continual multi-label learning (CMLL) problem in which models must acquire new knowledge while mitigating catastrophic forgetting. Together\, these considerations motivate the need to study multi-label learning with emphasis on exact label prediction\, robustness to data imbalance\, improved OOD detection\, and learning under continual data arrival. \nThe first contribution of this thesis introduces Bipolar Networks\, a novel architectural formulation for multi-label classification designed to improve exact label prediction. Unlike conventional single-output architectures that produce continuous confidence scores per label\, Bipolar Networks represent each label using two complementary outputs that encode positive and negative evidence. The final label decision is derived from the relative difference between these outputs\, enabling exact label predictions. To support effective training of this architecture\, the thesis develops a family of bipolar loss functions by reformulating standard objectives such as Binary Cross-Entropy and Focal Loss\, along with margin-based variants. Extensive experiments on benchmark datasets demonstrate that Bipolar Networks consistently improve F1 scores while maintaining competitive mean average precisions. \nBuilding on the improved discriminative behaviour of Bipolar Networks\, the second contribution addresses out-of-distribution detection in multi-label learning. While most existing OOD detection methods are designed for single-label classification or rely on computationally intensive mechanisms\, this thesis proposes a bipolar joint energy score tailored to the bipolar architecture. By leveraging the improved exact label prediction capability of Bipolar Networks\, the proposed scoring function enables more effective separation between in-distribution and out-of-distribution samples in multi-label settings\, demonstrating that stronger multi-label classification performance on in-distribution data can naturally translate into improved OOD detection. \nThe third contribution presents Learn What Matters\, a generalizable training framework that enhances exact label prediction without modifying model architectures or loss formulations. Learn What Matters operates at the optimization level by selectively masking parameter updates based on the ratio of gradient to parameter magnitudes\, suppressing low-information updates while rescaling the remaining gradients to preserve learning dynamics. This approach acts as a form of dropout during backpropagation and directs learning toward informative regions of the parameter space. Applied to standard single-output multi-label networks trained with ranking-based losses\, Learn What Matters yields substantial improvements in F1 score with only marginal impact on mAP scores\, providing a model-agnostic alternative to architectural modifications. \nThe fourth contribution explores biologically inspired learning approaches for multi-label classification. Drawing inspiration from neural computation in the human brain\, the thesis develops several bio-inspired models\, including Bipolar Spiking Neural Networks\, Adaptive Margin Spiking Neural Networks\, and NIMBLE\, a neuro-inspired multi-label learning framework. These methods leverage spike-based computation\, selective update mechanisms\, and adaptive stability–plasticity behavior to naturally support exact label prediction and efficient learning. Experimental results demonstrate that these biologically motivated designs improve exact label prediction and imbalance robustness in multi-label settings. \nFinally\, the thesis extends the proposed architectures and learning algorithms to the continual multi-label learning setting\, where data arrives sequentially without access to past samples or task identities. The resulting methods are task-agnostic and memory-free\, and empirical evaluations across multiple benchmarks show consistent improvements in exact label prediction and reduced catastrophic forgetting. Overall\, this thesis presents a unified framework spanning architectural design\, optimization strategies\, and biologically inspired learning for advancing exact label prediction\, OOD detection\, and continual learning in multi-label learning models. \n  \nSpeaker :  Sourav Mishra \n  \nResearch Supervisor: Prof. Suresh Sundaram
URL:https://aero.iisc.ac.in/event/ph-d-engg-enhancing-precise-label-prediction-and-imbalance-robustness-in-multi-label-learning/
LOCATION:STC Seminar Hall\, Dept. of Aerospace Engineering
CATEGORIES:Thesis Colloquium / Defence
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2025/12/Sourav.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251223T110000
DTEND;TZID=Asia/Kolkata:20251223T130000
DTSTAMP:20260408T064713
CREATED:20251222T044547Z
LAST-MODIFIED:20251223T054815Z
UID:10000106-1766487600-1766494800@aero.iisc.ac.in
SUMMARY:Model-Based Digital Thread and Digital Twin technologies for Manufacturing and Industry 4.0 Architecture
DESCRIPTION:Jayendra ‘Jay’ Ganguli \,  is the Associate Director at Pratt & Whitney / RTX\, leading initiatives in Model-Based Digital Thread and Digital Twin technologies for Manufacturing and Industry 4.0 Architecture.\n\nWith over 30 years of experience in the Aerospace and Defense industry\, his career spans leadership roles at GE Aviation\, Boeing (Space and Commercial Aviation)\, and RTX/Pratt & Whitney. His work centers on advancing digital transformation across Systems Engineering\, Design\, Manufacturing\, and MRO.\n\nHe actively contributes to industry standards and interoperability efforts through STEP ISO 10303 and the AIAA\, where he serves as Co-Chair of the Digital Twin Committee and co-author of multiple AIAA publications on Digital Threads and Twins. His presentation will highlight recent AIAA research and address current challenges in Digital Thread and Twin integration for A&D from architectural\, vendor strategy\, and OEM perspectives.\n\nSpeaker : Jayendra ‘Jay’ Ganguli
URL:https://aero.iisc.ac.in/event/model-based-digital-thread-and-digital-twin-technologies-for-manufacturing-and-industry-4-0-architecture/
LOCATION:Auditorium (AE 005)\, Department of Aerospace Engineering
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2025/12/Jayendra-.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251222T150000
DTEND;TZID=Asia/Kolkata:20251222T170000
DTSTAMP:20260408T064713
CREATED:20251222T043040Z
LAST-MODIFIED:20251222T081958Z
UID:10000105-1766415600-1766422800@aero.iisc.ac.in
SUMMARY:Digital Process Twins for Automated Manufacturing of Thermoplastic Composites: Challenges and Opportunities.
DESCRIPTION:Automated Fiber Placement (AFP) is transforming the fabrication of high-performance thermoplastic composites by enabling precision layup of fiber tows with spatially controlled heating and compaction. Yet\, the interplay of radiative heating\, heat diffusion\, and material flow during AFP remains one of the least understood links between process parameters and structural performance. This seminar presents a unified experimental and modeling framework to unravel these coupled multi-scale multi-physics phenomena and advance the creation of digital process twins for advanced manufacturing of composites. \nThe discussion will begin with the design and thermal characterization of a Xenon-arc flash heating system developed for in-situ processing of CF-PAEK tows. High-resolution irradiance mapping and infrared thermography reveal the dynamic spatial nonuniformity of heat flux during laydown\, providing direct insights into tow heating and cooling behavior. These experimental results are coupled with a physics-based “plug-flow” thermal model that captures the motion of the tow\, its interaction with the roller and substrate\, and the resulting anisotropic heat transfer under realistic AFP conditions. \nThe resulting digital process twin quantitatively predicts temperature evolution\, nip-point bonding conditions\, and crystallinity gradients; key factors governing consolidation quality and defect formation. By linking measured irradiance fields with validated numerical simulations\, this framework offers a predictive capability for optimizing processing parameters to achieve consistent microstructure and interlayer adhesion. The seminar will conclude with perspectives on integrating these models with in-situ sensing and machine learning to enable smart\, autonomous\, defect-tolerant composite manufacturing. \nSpeaker : Dr. Paul Davidson \nBiography: \nDr. Paul Davidson is an Assistant Professor of Mechanical and Aerospace Engineering at the University of Texas at Arlington\, where he leads the Digital Design and Advanced Manufacturing of Composite Structures research though the Laboratory of Advanced Materials\, Manufacturing and Analysis (LAMMA). His research integrates experimental mechanics\, multiscale modeling\, and machine learning to develop digital twins for automated composite fabrication and structural performance prediction. His work is supported by the Air Force Office of Scientific Research (AFOSR)\, the Air Force Research Laboratory (AFRL)\, the National Science Foundation (NSF)\, and the University of Texas System.
URL:https://aero.iisc.ac.in/event/digital-process-twins-for-automated-manufacturing-of-thermoplastic-composites-challenges-and-opportunities/
LOCATION:Auditorium (AE 005)\, Department of Aerospace Engineering
CATEGORIES:AE Seminar
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2025/12/Paul.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251222T150000
DTEND;TZID=Asia/Kolkata:20251222T170000
DTSTAMP:20260408T064713
CREATED:20251218T100932Z
LAST-MODIFIED:20251218T100932Z
UID:10000104-1766415600-1766422800@aero.iisc.ac.in
SUMMARY:Ph.D. (Engg) : Characterization of time-frequency behavior of flow intermittency in transitional boundary layers
DESCRIPTION:The importance of transitional flow studies can be realized from the fact that it acts as a bridge between the laminar and turbulent flows. The present work deals with the investigation of time-frequency characteristics of transitional flows and their modelling\, which is presented in three parts.\nFirst\, we propose a wavelet-transform based smooth detector function which is used to detect the presence of turbulent spots in a signal. We also propose a novel wavelet transform based algorithm to calculate the intermittency for various transitional and turbulent boundary layers with the primary objective to remove the subjectivity of current methods. The method is also used to calculate the intermittencies for temporal and spatial distributions of velocities of a computational dataset. The algorithm involves calculation of a sensitive detector and then obtaining an indicator based on Monte-Carlo like iterations. A cut-off on the number of iterations ​is obtained based on RMS of the laminar part of the signal. The method is also able detect the turbulent/non-turbulent interface in wall-normal and wall-parallel planes. This wide spectrum of results prove the generality of the scheme\, which to our knowledge has been demonstrated for the first time.\nSecondly\, the substructures of stream-wise velocity fluctuations within a turbulent spot are investigated using time-spectral and probability density function(PDF) based analyses. The pre-multiplied Fourier spectrum shows that the turbulent spots appear rather  “suddenly” at the onset of transition. The high frequency structures inside a near-wall turbulent spot at the onset of transition are found to be highly time localized. The presence of large amplitude events near the onset location hints towards a near “singular” structure within a nascent spot that has high frequencies\, amplitudes and time localization. It is also seen that the transition process only modifies the structures at higher frequencies and the lower frequencies remain almost unchanged. For lower frequencies\, the structure throughout the transition zone\, for all the transition as well as the turbulent boundary layer cases show a universal nature.\nIn the third part\, Cellular Automaton (CA) is used to model the growth\, propagation and merging of turbulent spots. CA simulations are shown to handle a variety of different practical/theoretical spot generation scenarios. These simulations are computationally inexpensive and easily parallelizable. They represent a promising avenue for modelling the kinematics of turbulent spots.\n\nSpeaker : Satyajit De\n\nResearch Supervisor : Sourabh S. Diwan
URL:https://aero.iisc.ac.in/event/ph-d-engg-characterization-of-time-frequency-behavior-of-flow-intermittency-in-transitional-boundary-layers/
LOCATION:STC Seminar Hall\, Dept. of Aerospace Engineering
CATEGORIES:Thesis Colloquium / Defence
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2025/12/Satyajit.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251219T110000
DTEND;TZID=Asia/Kolkata:20251219T130000
DTSTAMP:20260408T064713
CREATED:20251212T053059Z
LAST-MODIFIED:20251218T103035Z
UID:10000101-1766142000-1766149200@aero.iisc.ac.in
SUMMARY:Ph.D. (Engg) : Investigations on Elastic Deformation of Ferromagnetic Rods and Ribbons
DESCRIPTION:Bulk ferromagnetic materials exhibit Joule magnetostriction with characteristic strain magnitudes on the order of (10^{-6}) to (10^{-4})\, which is often insufficient for the displacement requirements of modern soft robotic and adaptive structural systems. Ferromagnetic elastic slender structures provide a promising alternative\, offering the potential for large actuation displacements under small external magnetic fields. This enhanced response results from a rich coupling between magnetic and elastic phenomena in slender structures\, where external magnetic fields can induce significant displacements with relatively small field strengths. This thesis develops a novel unified theoretical framework to describe the coupled magnetoelastic behavior of ferromagnetic elastic rods and ribbons. The framework formulates the total energy functional\, incorporating elastic and magnetic energy components for both soft and hard ferromagnetic materials. The elastic energy is derived from Kirchhoff and Wunderlich models for rods and ribbons. The magnetic energy is formulated using the micromagnetic energy functional composed of exchange\, anisotropy\, magnetostriction\, demagnetization\, and Zeeman energies. Central to the framework is the interplay between elastic energy and the competing magnetic effects: demagnetization energy in soft ferromagnets and Zeeman energy in hard ferromagnets. \nIn the first part of this thesis\, we construct the total energy formulation for ferromagnetic rods undergoing planar deformation and utilize Kirchhoff kinetic analogy for our investigation. A detailed bifurcation analysis distinguishes the Hamiltonian phase portraits of elastic rods and soft ferromagnetic rods in longitudinal and transverse magnetic fields\, revealing distinct subcritical and supercritical pitchfork bifurcations. The extension of Kirchhoff’s kinetic analogy to ferromagnetic rods enables the prediction of equilibrium shapes under various boundary conditions and applied fields. However\, the kinetic analogy framework does not directly address the stability of these equilibrium states. \n\n                                                                                                                                            Motivated by this limitation\, the second part presents a comprehensive one-dimensional model for ferromagnetic elastic rods/ribbons systematically incorporating micromagnetic energy for curved geometries. The resulting equilibrium equations are derived for both soft and hard magnetic cases\, which are then solved numerically to trace load–deflection responses. Stability analysis via a Sturm–Liouville eigenvalue approach reveals tensile critical buckling loads for soft ribbons and uncovers novel stable post-buckling configurations\, especially for fixed-fixed boundary conditions under transverse magnetic fields. For hard ferromagnetic ribbons\, the buckling loads are shifted\, but the corresponding equilibrium shapes approach those of purely elastic ribbons. The restriction to planar deformations\, however\, leaves open the question of whether these configurations remain stable with respect to fully three-dimensional perturbations.\nTo address this issue\, the third part extends the study to spatially deforming ferromagnetic elastic rods subjected to combined magnetic and terminal mechanical loading. The Hamiltonian derived from the total energy is analyzed\, revealing a significant difference: the purely elastic and hard ferromagnetic rods exhibit subcritical pitchfork bifurcations\, whereas the soft ferromagnetic rod shows no bifurcation under similar conditions. Furthermore\, localized buckling deformation of soft ferromagnetic rod shows non-collinear straight segments.\nThis work is\, to the best of our knowledge\, the first to demonstrate the role of demagnetization energy in the large deformation of ferromagnetic slender structures. As one of the dominant contributions to the micromagnetic energy functional\, the demagnetization energy is inherently geometry dependent and therefore crucial to structural deformation. As the slender structure deforms and its geometry changes and the demagnetization energy is correspondingly modified. Our results provide an understanding of the interplay of magnetic and elastic forces\, paving the way for the design of advanced smart materials and potential applications in magnetically-actuated soft robots\, adaptive medical devices\, and remote actuation.\n\nSpeaker:  Mr. G R Krishna Chand Avatar\n\nResearch Supervisor : Dr. Vivekanand Dabade
URL:https://aero.iisc.ac.in/event/ph-d-engg-investigations-on-elastic-deformation-of-ferromagnetic-rods-and-ribbons/
LOCATION:STC Seminar Hall\, Dept. of Aerospace Engineering
CATEGORIES:Thesis Colloquium / Defence
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2025/12/Krishna.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251215T143000
DTEND;TZID=Asia/Kolkata:20251215T170000
DTSTAMP:20260408T064713
CREATED:20251212T053032Z
LAST-MODIFIED:20251213T102751Z
UID:10000103-1765809000-1765818000@aero.iisc.ac.in
SUMMARY:Workshop on Ideation: Envisioning :The Future in Aerospace
DESCRIPTION:SSWR\, Department of Aerospace Engineering\, is organizing a workshop on Ideation.\n\nResource Person:\n\nDr. Ripi Singh\nDigital Transformation and Innovation Coach;\nAuthor\, Keynote Speaker\, Futurist\, 4.0 Evangelist;\nFormer Aero Faculty\, Former R&D Executive;\nAdvisor To Several University Centers; and\nUS Expert for ISO on Innovation Management.
URL:https://aero.iisc.ac.in/event/workshop-on-ideation-envisioning-the-future-in-aerospace/
LOCATION:Auditorium (AE 005)\, Department of Aerospace Engineering
CATEGORIES:Workshops / Conferences
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2025/12/image.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251215T120000
DTEND;TZID=Asia/Kolkata:20251215T130000
DTSTAMP:20260408T064713
CREATED:20251212T053000Z
LAST-MODIFIED:20251213T102037Z
UID:10000102-1765800000-1765803600@aero.iisc.ac.in
SUMMARY:Data-driven learning of feedback policies for robust model predictive control: An approximation-theoretic view
DESCRIPTION:Model Predictive Control (MPC) is a widely used optimization-based framework for the synthesis of feedback control\, with mature theory and practice in the linear setting. Yet computational tractability remains a key bottleneck—particularly for robust nonlinear min-max MPC—because solving a (robust) optimization problem at every step is expensive and often intractable in practice. Explicit or approximate MPC circumvents this by replacing online optimization with a function evaluation\, but learning accurate and robust approximate feedback policies is challenging. This talk will present new computationally tractable data-driven and approximation-theoretic methods for robust (min-max) model predictive control (MPC) in low- to moderate-dimensional nonlinear systems. The approach leverages some unusual and unique tools from approximation and modern deep learning theory to learn feedback policies with pre-assigned guarantees of uniform learning errors. In practice\, the technique achieves a remarkable 20\,000 times speed-up as opposed to standard techniques in MPC.  \n  \nSpeaker : Siddhartha Ganguly \n  \nBiography: \n  \nSiddhartha Ganguly is currently a postdoctoral researcher in the Department of Applied Mathematics and Physics at Kyoto University\, Japan\, and a soon-to-join postdoc in the School of Aerospace Engineering at the Georgia Institute of Technology\, USA. He completed his Ph.D. from the Centre for Systems and Control at IIT Bombay. His current research interests are in the area of optimal transport and machine learning with applications to control theory\, optimal control\, and robust optimization with applications to mechanical and aerospace systems.
URL:https://aero.iisc.ac.in/event/data-driven-learning-of-feedback-policies-for-robust-model-predictive-control-an-approximation-theoretic-view/
LOCATION:Auditorium (AE 005)\, Department of Aerospace Engineering
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2025/12/Siddhartha.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251215T110000
DTEND;TZID=Asia/Kolkata:20251215T120000
DTSTAMP:20260408T064713
CREATED:20251210T103048Z
LAST-MODIFIED:20251213T093321Z
UID:10000100-1765796400-1765800000@aero.iisc.ac.in
SUMMARY:Flow-Aware Simulation Technique (FAST) for AI-Enabled\, Physics-Integrated Turbulence Computations
DESCRIPTION:Data-driven approaches have generated tremendous excitement in turbulence modeling\, but enthusiasm has often outpaced scientific rigor. Many current AI/ML turbulence models lack physical interpretability\, exhibit limited generalizability across flow regimes\, and do not reflect the true dynamical nature of turbulence. A new strategy is needed—one that leverages AI while remaining fully compliant with the physics of flow evolution. This talk proposes a flow-aware AI paradigm that integrates data-driven learning with physical constraints and local flow-regime awareness. Recognizing that turbulence spans a wide spectrum of coherent and stochastic behaviors\, we propose an adaptive framework that allows AI to dynamically select modeling pathways—switching between physics-based closures and selective scale resolution as conditions demand. This approach improves robustness in complex flow regimes\, enabling AI to enhance rather than replace traditional models. The presentation will clarify the limitations of current ML methods and illustrate how physics-aware hybridization can accelerate accurate and efficient turbulence simulations. The goal is not to abandon classical turbulence modeling\, but to augment it with AI-enabled predictive insight\, producing simulations that are consistently reliable\, interpretable\, and deployment-ready in unseen flows.  \nSpeaker : Prof. Sharath Girimaji \nBiography: \nDr. Sharath S. Girimaji is a Professor of Aerospace Engineering and Department Head of Ocean Engineering at Texas A&M University\, where he holds the Wofford Cain Chair position. His research expertise spans turbulence modeling\, computational fluid dynamics\, compressible and high-speed flows\, and complex fluid dynamics. Dr. Girimaji received his B.Tech from Indian Institute of Technology Madras (1983) and his M.S. and Ph.D. from Cornell University (1990). Before joining academia\, he spent nine years as a research scientist at NASA Langley Research Center. He has graduated 25 PhD students to date. He is a Fellow of the American Physical Society (APS) and an Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA).
URL:https://aero.iisc.ac.in/event/flow-aware-simulation-technique-fast-for-ai-enabled-physics-integrated-turbulence-computations/
LOCATION:STC Seminar Hall\, Dept. of Aerospace Engineering
CATEGORIES:AE Seminar
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2025/12/Sharath.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251211T030000
DTEND;TZID=Asia/Kolkata:20251211T160000
DTSTAMP:20260408T064713
CREATED:20251210T063024Z
LAST-MODIFIED:20251213T092434Z
UID:10000099-1765422000-1765468800@aero.iisc.ac.in
SUMMARY:Normal modes and manoeuvre analysis in a closed form aircraft dynamic model
DESCRIPTION: In this seminar\, I will first introduce an empirical four-parameter formula for lift and drag on an airfoil\, which shows good fits to experimental data. I will then use this formula to obtain a closed form nonlinear dynamical model of the longitudinal or pitch plane motions of an aircraft. The method of time scale separation applied to this model will yield the algebraic approximations of the short period and phugoid modes\, the limits on centre of mass position as well as an explicit relation between the horizontal stabilizer deflection and the trimmed airspeed. Next\, I will use the model to analyse two manoeuvres – an Immelmann turn and a landing. We will see a novel flaring technique\, called steady state flare\, which minimizes the probability of flotation and bounce\, and maximizes the probability of a greased touchdown\, thus increasing safety as well as improving traveller experience. I will conclude the seminar with a discussion of my future research plans.\n\nSpeaker : Dr. Shayak Bhattacharjee\n\nBiography :\n\nDr. Shayak Bhattacharjee obtained his Integrated Master of Science in Physics from IIT Kanpur in 2015 and his PhD from the School of Mechanical and Aerospace Engineering\, Cornell University in 2021. Following a three-year postdoctoral stint at the University of Maryland at College Park\, he returned to India and is currently working for LogiXair\, an aerospace startup incubated at IIT Hyderabad. HIs current research interests are in flight dynamics of piloted airplanes and UAVs\, as well as in propeller analysis and design. He has also worked on dynamical systems of other kinds such as infectious diseases\, violin strings and magnetic levitation devices.
URL:https://aero.iisc.ac.in/event/normal-modes-and-manoeuvre-analysis-in-a-closed-form-aircraft-dynamic-model/
LOCATION:Auditorium (AE 005)\, Department of Aerospace Engineering
CATEGORIES:AE Seminar
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2025/12/Shayak.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251204T120000
DTEND;TZID=Asia/Kolkata:20251204T130000
DTSTAMP:20260408T064713
CREATED:20251202T111559Z
LAST-MODIFIED:20251202T111559Z
UID:10000098-1764849600-1764853200@aero.iisc.ac.in
SUMMARY:Towards Collaborative Autonomy in Multi-robot Systems: From Swarm Defense to Human-Robot Collaboration
DESCRIPTION:Multi-robot systems can significantly expand our ability to operate in complex and hazardous environments\, from disaster response and environmental monitoring to national security. Achieving this requires robotic teams that are scalable\, resilient\, and capable of safe collaboration with each other and with humans. In this talk\, I will present my research toward advancing such autonomous multi-robot systems. I begin with my research work on adversarial swarm defense\, where I developed a unified framework that enables defender robots to protect safety-critical areas against both risk-averse and risk-taking adversarial swarms. This framework leverages real-time monitoring of adversarial swarm behavior\, optimal task assignment\, and trajectory planning for coordinated defense\, combining herding and collision-aware interception to collaboratively mitigate a wide range of adversarial behaviors.\nI then highlight my broader efforts to enable reliable autonomy in real-world settings\, including human-multi-robot collaboration\, motion planning for tethered robots in extreme terrains\, and automated ROS2-based integration testing pipelines for PX4 UAVs. Together\, these contributions reflect a cohesive and ongoing research direction toward building reliable multi-robot systems that operate safely\, effectively\, and collaboratively amid uncertainty and real-world constraints. \nSpeaker : Vishnu S. Chipade \nBiography: \nVishnu S. Chipade is a Senior Researcher at the Secure Systems Research Center\, Technology Innovation Institute\, Abu Dhabi. He received his PhD and Master’s degrees in Aerospace Engineering from the University of Michigan\, Ann Arbor\, USA and Bachelor’s degree in Aerospace Engineering from the Indian Institute of Technology Kanpur\, India. His research focuses on developing scalable and reliable multi-robot systems that operate safely\, securely\, and collaboratively with robots and humans in complex real-world environments\, leveraging the best of classical and AI-driven approaches to autonomy. His research has been published in top venues such as T-RO\, TCNS\, ICRA\, IROS\, CDC\, etc.
URL:https://aero.iisc.ac.in/event/towards-collaborative-autonomy-in-multi-robot-systems-from-swarm-defense-to-human-robot-collaboration/
LOCATION:Auditorium (AE 005)\, Department of Aerospace Engineering
CATEGORIES:AE Seminar
ATTACH;FMTTYPE=image/png:https://aero.iisc.ac.in/wp-content/uploads/2025/12/Vishnu.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251201T110000
DTEND;TZID=Asia/Kolkata:20251201T130000
DTSTAMP:20260408T064713
CREATED:20251201T040004Z
LAST-MODIFIED:20251201T040004Z
UID:10000097-1764586800-1764594000@aero.iisc.ac.in
SUMMARY:Ph.D. (Engg) : Autorotation of Single-Winged Spinning Samaras
DESCRIPTION:Nature has consistently served as a powerful source of innovation\, offering elegant and sustainable solutions to complex engineering problems. Among these\, the spinning samara seed stands out as a biologically efficient system for passive aerial transport. Samaras\, such as those from mahogany and Buddha coconut trees\, exhibit stable autorotative descent\, making them strong candidates for biomimicry in aerial delivery systems. Understanding and replicating the flight mechanics of samaras requires accurate analytical modelling. The dynamics of a single-winged spinning samara can be described using Newton’s laws and Euler’s rigid‐body equations\, while the aerodynamic forces acting on the wing can be derived from the Navier–Stokes equations or using Blade Element Momentum Theory (BEMT). Together\, these frameworks provide a foundation for predicting its motion\, thrust generation\, and stability in samara-inspired designs. Building on this theoretical basis\, the present thesis delivers a comprehensive experimental study on the bioinspired engineering of single-winged spinning samaras\, focusing on their aerodynamic behavior\, kinematic characteristics\, structural morphology\, and wake dynamics. To investigate the kinematics\, a custom-designed drop rig was developed to capture high-resolution visual data of the steady-state descent. Parameters such as descent velocity\, coning angle\, wingtip trajectory\, and precession were extracted and analyzed. The results revealed a complex motion involving coupled coning and precession\, challenging simplified theoretical models that typically assume a steady\, non-precessing descent. Parallel morphological studies using high-resolution 3D scanning of natural samaras highlighted spanwise variations in chord length\, camber\, and sweep\, which contribute significantly to aerodynamic performance. Five 3D printed models incorporating geometric variations were fabricated to evaluate their aerodynamic efficiency. Experimental observations showed that models featuring variable chord\, sweep\, and anhedral/dihedral configurations achieved the lowest descent velocities\, underscoring the importance of structural morphology in enhancing autorotative performance. To examine local flow physics in detail\, a custom low-Reynolds-number vertical wind tunnel was developed and characterized. Flat-plate airfoils were studied using Particle Image Velocimetry (PIV) across a wide range of angles of attack and Reynolds numbers\, revealing flow regimes ranging from steady attached flow to unsteady vortex shedding. Wake flow physics of samaras were further captured within a transparent glass chamber using seeded PIV\, revealing stable wingtip vortices extending several diameters downstream and confirming the presence of a windmill-brake state analogous to helicopter autorotation. Induced velocities computed using Momentum Theory showed close agreement with theoretical predictions. To evaluate practical feasibility\, a bioinspired delivery system was designed and tested through drone-based release experiments. Six models (FR01 to FR06) were fabricated and deployed under varying payloads and wind conditions. All models demonstrated successful autorotation and stable descent\, confirming the viability of samara-inspired mechanisms for passive aerial delivery. This research advances the understanding of samara aerodynamics and opens pathways for bioinspired applications in unmanned aerial systems. Future work should explore 3D motion capture\, high-fidelity simulations\, and optimization of geometries and materials. The insights from this thesis provide a strong foundation for future innovations in samara-inspired flight technologies. \nSpeaker :  G.YOGESHWARAN \n  \nResearch Supervisor: Gopalan Jagadeesh \nCo-Research Supervisor: Srisha Rao M V
URL:https://aero.iisc.ac.in/event/ph-d-engg-autorotation-of-single-winged-spinning-samaras/
LOCATION:STC Seminar Hall\, Dept. of Aerospace Engineering
CATEGORIES:Thesis Colloquium / Defence
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2025/12/YOGESHWARAN.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251128T110000
DTEND;TZID=Asia/Kolkata:20251128T130000
DTSTAMP:20260408T064713
CREATED:20251126T090534Z
LAST-MODIFIED:20251126T090534Z
UID:10000096-1764327600-1764334800@aero.iisc.ac.in
SUMMARY:From Flight Control to Multi-Agent Systems
DESCRIPTION:In this two-part talk\, I will present an overview of my research over the past ten years in the academia and the industry. In the first part\, I will talk about the use of articulated wings for rapid manoeuvring at high angles of attack\, particularly with application to landing in constrained spaces. I will present a first-principles analysis leading to design rules as well as guidelines for control design. In the second part\, I will talk about some recent work on the control of the emergent behaviour of large multi-agent systems. I will present motivating examples drawn from my recent research\, including in the industry. I will talk about the use of continuum methods for describing the dynamics of large systems and for designing compact control laws. I will wrap up by discussing interesting directions for future research on these topics. \nSpeaker : Aditya A. Paranjape \nBiography : \nAditya A. Paranjape received B.Tech and M.Tech in Aerospace Engineering from the Indian Institute of Technology (IIT) Bombay in 2007\, and PhD in Aerospace Engineering from the University of Illinois at Urbana-Champaign in 2011. After completing his post-doc in 2013 from the University of Illinois\, he held tenure-track academic positions\, most recently at Imperial College London\, before spending five years with TCS Research\, a division of Tata Consultancy Services\, in Pune\, India. He has been with the Department of Mechanical and Aerospace Engineering at Monash University since April 2024. He is also Honorary Lecturer at Imperial College London and Visiting Associate Professor at IIT Bombay. His research interests are centred around flight dynamics\, control systems\, and multi-agent systems. He is a Senior Member of the American Institute of Aeronautics and Astronautics and a member of AIAA’s Atmospheric Flight Mechanics Technical Committee.
URL:https://aero.iisc.ac.in/event/from-flight-control-to-multi-agent-systems/
LOCATION:Auditorium (AE 005)\, Department of Aerospace Engineering
CATEGORIES:AE Seminar
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2025/11/aditya.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251121T103000
DTEND;TZID=Asia/Kolkata:20251121T130000
DTSTAMP:20260408T064713
CREATED:20251119T064621Z
LAST-MODIFIED:20251119T064621Z
UID:10000095-1763721000-1763730000@aero.iisc.ac.in
SUMMARY:Electrospinning Technology\, Applications and Advancements
DESCRIPTION:Electrospinning has emerged as one of the most versatile and impactful techniques for producing nanofibers in various applications\, including healthcare\, biotechnology\, filtration\, and advanced materials. This seminar offers a comprehensive overview of both the foundational science and the latest advancements that are shaping the future of the field. The talk will cover topics such as Fundamentals and principles of electrospinning; Materials\, polymers\, and process optimization; Advances in portable and clinical electrospinning systems; Electrospun materials for wound care & tissue regeneration; Applications in drug delivery\, filtration\, and protective materials; Case studies & commercialization pathways; Opportunities\, challenges\, and future trends. \nSpeaker : Dr. Claudia Barzilay \nBiography :\nDr. Claudia Barzilay is a leading scientist in electrospinning-based medical technologies and a key contributor to innovation at Nanomedic Technologies\, Israel — the company behind SpinCare™\, a revolutionary portable electrospinning system that creates personalized\, on-body wound dressings. She holds a PhD in biomaterials and nanotechnology\, where her research focused on advanced polymer systems and nanofiber-based solutions for clinical use. She later completed a prestigious post-doctoral fellowship at Stanford University\, specializing in translational biomaterials\, nanostructured polymers\, and medical technologies designed for real-world clinical impact. Dr. Barzilay’s work spans nanofiber engineering\, polymer science\, and medical device development. She collaborates closely with hospitals\, research institutions\, and industry partners worldwide\, contributing to the development of next-generation electrospinning platforms for wound healing\, regenerative medicine\, drug delivery\, and personalized healthcare applications.
URL:https://aero.iisc.ac.in/event/electrospinning-technology-applications-and-advancements/
LOCATION:Auditorium (AE 005)\, Department of Aerospace Engineering
CATEGORIES:AE Seminar
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2025/11/Barzilay.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251113T110000
DTEND;TZID=Asia/Kolkata:20251113T130000
DTSTAMP:20260408T064713
CREATED:20251112T061505Z
LAST-MODIFIED:20251112T061505Z
UID:10000094-1763031600-1763038800@aero.iisc.ac.in
SUMMARY:Ph.D. (Engg): Aerodynamic Shape Optimization of Low Observable Air Intake Duct : A Gerlach Inspiration
DESCRIPTION:Air intake system supplying air to the aircraft’s propulsion system is an important part of the aircraft. In modern military aircraft\, air intake ducts are bent due to stealth and layout considerations. Due to significant contribution from rotating jet engine components to Radar Cross Section\, need to inhibit direct line of sight of the Engine Face from RADAR’s eye is required and this leads to aggressively turning ducts. Owing to large pressure loss happening due to the secondary flows and consequent flow separation arising out of centrifugal forces or its gradients during flow turns\, total pressure recovery at Engine Face is likely to suffer. This thesis addresses this concern\, specifically for a top mounted serpentine intake duct of flying wing configuration.\n\nA shaping technique called “Gerlach Shaping” proposed by C. R. Gerlach and E. C. Shroeder to minimise secondary flows and subsequent losses forms the core of this thesis. An important feature of the shaping concept is the use of ideal flow assumptions for a flow known to be viscosity driven. As a part of the current research\, formulation and implementation of Gerlach shaping is subject to detailed analysis. Gerlach shaping principles are extended\, opening further possibilities for low loss bend designs. Radial pressure gradients and secondary flow mixing are managed more efficiently leading to smooth flow with reduced flow separation and pressure drops. Superiority of newer designs called “Gerlach Inspired Bend Designs” are proven on a square elbow and RAE M 2129 S-duct. It may be surprising to note that the losses encountered in one of the 90◦ bend designs is even lower than that of a straight duct.\n\nA new methodology called “Gerlach Inspired Duct Optimization” for aerodynamic shape optimization of low observable air intake duct design driven by conflicting aerodynamics and stealth requirements is developed. Understanding of Gerlach shaping principles gained during the evolution of design methodology for low loss bends is a stepping stone to the optimization process. Keeping the spirit of Gerlach Shaping alive\, the highlight of this process is the use of low fidelity inviscid CFD tool for a problem considered to be highly viscous. The step is crucial as integrating CFD simulations with Gerlach Shaping as against ideal flow assumptions would considerably improve the accuracy of the flow field description and enhance the duct design. Moreover\, integration of an inviscid solver facilitates robust\, fast generation of flow field and a large number of candidate designs could be analysed. A completely automated Genetic Algorithm based optimization framework integrated with Computational Fluid Dynamics simulations to realize this methodology inspired by\nGerlach Shaping gives substantial performance enhancement as compared to Reference Duct (designed using conventional design methodology) and Gerlach Duct (generated by morphing the reference duct as per Gerlach shaping).\n\nSpeaker : V Valliammai\n\nResearch Supervisor : N. Balakrishnan
URL:https://aero.iisc.ac.in/event/ph-d-engg-aerodynamic-shape-optimization-of-low-observable-air-intake-duct-a-gerlach-inspiration/
LOCATION:Online
CATEGORIES:Thesis Colloquium / Defence
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2025/11/v.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251110T160000
DTEND;TZID=Asia/Kolkata:20251110T170000
DTSTAMP:20260408T064713
CREATED:20251107T053302Z
LAST-MODIFIED:20251107T053440Z
UID:10000093-1762790400-1762794000@aero.iisc.ac.in
SUMMARY:From Shock to Shield: Designing Materials for Space\, Defense\, and Beyond
DESCRIPTION:The next frontier of materials innovation lies in designing systems that not only survive but thrive under harsh environments. From hypersonic vehicles and next-generation defense systems to lunar construction and in-space manufacturing\, the demand for ultra-lightweight\, high-strength\, and resilient materials has never been greater. Yet\, our ability to understand and design materials that endure such conditions remains limited by slow\, expensive testing and computationally intensive models ultimately leading to a lack of physical understanding of mechanical response. In particular\, data describing how materials deform and fail under ultra-high strain-rate loading conditions which are typical of aerospace and defense structures—are exceptionally scarce. As a result\, materials development has relied on costly\, well-established systems; but the emergence of commercial space and reusable aerospace structures now demands a new generation of high-fidelity insights into material behavior under dynamic extremes.\n\nIn this talk\, I will introduce a new data intensive high-throughput experimental framework for probing material behavior under extreme dynamic loading. At its core is an automated laser-driven micro-plate impact platform that enables rapid\, cost-effective measurement of key material properties under shock loading. For the purpose of this talk we will in particular look at the Hugoniot Elastic Limit (the onset of plasticity under uniaxial strain loading) and spall strength (the threshold for dynamic fracture) of metals\, when subjected to ultra-high strain rate impacts (10^6 to  10^7 /s). Traditionally\, these properties required large-scale\, single-shot experiments; this new approach achieves them with statistical richness and precision\, dramatically accelerating the rate of materials discovery for extreme environments. Using this dataset\, I will discuss how loading kinetics\, microstructure\, and composition govern material performance\, and how transforming a data-scarce field into a data-rich one enables AI-driven approaches such as active learning and Bayesian optimization for autonomous extreme-mechanics experimentation.\n\nLooking ahead\, integrating this data-rich experimental capability with AI-driven modeling and automation opens a pathway toward physics-informed design principles for lightweight alloys\, ceramics\, and architected composites. In the near term\, this framework will shorten material certification cycles for hypersonics and spacecraft\, rapidly and cheaply explore a wide range of potential materials solutions; in the long term\, it will enable data-driven design of resilient materials for aerospace\, defense\, energy applications and beyond. By uniting experimental mechanics\, data science\, and materials design\, this work lays the foundation for a new era of adaptive\, high-performance materials engineered for extremes.\n\nSpeaker : Dr. Piyush Wanchoo\n\n\nBiography:\nDr. Piyush Wanchoo is a Postdoctoral Fellow at Johns Hopkins University’s Hopkins Extreme Materials Institute (HEMI). His research focuses on understanding how materials behave under extreme conditions such as shock\, impact\, and blast loading. He develops high-\nthroughput\, AI-integrated experimental platforms that enable rapid\, data-driven discovery of material solutions for aerospace\, defense\, and space applications.
URL:https://aero.iisc.ac.in/event/from-shock-to-shield-designing-materials-for-space-defense-and-beyond/
LOCATION:Online
CATEGORIES:AE Seminar
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2025/11/Piyush.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251027T110000
DTEND;TZID=Asia/Kolkata:20251027T130000
DTSTAMP:20260408T064713
CREATED:20251015T064811Z
LAST-MODIFIED:20251015T064811Z
UID:10000088-1761562800-1761570000@aero.iisc.ac.in
SUMMARY:Taming Waves through Non-Hermiticity: From Invisible Tunneling to Unidirectional Nonlinear Pulses
DESCRIPTION:Non-Hermitian wave dynamics challenge our conventional understanding of wave propagation\, revealing transport behaviors inaccessible in Hermitian systems. In this seminar\, I will present a few intriguing phenomena arising from these dynamics. In the first part\, I will show a counterintuitive tunneling effect at the interface of a non-Hermitian system sandwiched between two Hermitian ones. Here\, the non-Hermitian skin effect creates barriers at the boundaries\, yet under the right conditions\, a wave can tunnel through as if the interface were invisible. This phenomenon is explored in both quantum and classical regimes\, with experimental demonstrations using an active electric circuit platform. In the second part\, I turn focus to nonlinear systems\, addressing generation of unidirectional\, narrow pulses (solitons) that propagate without distortion in active mechanical setups. I present a theoretical model for generating stable unidirectional solitons by carefully balancing nonlinearity and nonreciprocity\, and show how these pulses are realized experimentally\, supported by analytical results and numerical simulations. \nReferences: \nInvisible tunneling through non-Hermitian barriers in nonreciprocal lattices. Sayan Jana\, Lea Sirota\, Physical Review B (Letter) 111 (10)\, L100301\, (2025).\nHarnessing Nonlinearity to Tame Wave Dynamics in Nonreciprocal Active Systems\, Sayan Jana et al.\, arXiv:2502.16216 (2025). \n  \nSpeaker :  Dr. Sayan Jana \nBiography:  \nDr. Sayan Jana is a Postdoctoral Researcher at the Department of Mechanical Engineering\, Tel Aviv University\, Israel. He obtained his PhD in Theoretical Condensed Matter Physics from the Institute of Physics\, Bhubaneswar\, India\, in 2022. His research is interdisciplinary\, integrating theoretical physics and engineering to emulate complex analogue quantum and high-energy phenomena using lab-scale platforms. One key finding includes the proposal and simulation of analogue gravitational lensing and Hawking radiation using mechanical networks. These studies provide accessible routes to investigate phenomena that are otherwise difficult to observe directly in the universe. Another major research direction focuses on non-Hermitian systems\, where non-conservation of energy gives rise to intriguing dynamics and interplay with topology and nonlinearity. Realizations in active metamaterials reveal novel wave phenomena and control mechanisms\, with significant potential for advanced wave manipulation and energy technologies.
URL:https://aero.iisc.ac.in/event/taming-waves-through-non-hermiticity-from-invisible-tunneling-to-unidirectional-nonlinear-pulses/
LOCATION:STC Seminar Hall\, Dept. of Aerospace Engineering
CATEGORIES:AE Seminar
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2025/10/Sayan.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251027T103000
DTEND;TZID=Asia/Kolkata:20251027T130000
DTSTAMP:20260408T064713
CREATED:20251024T100127Z
LAST-MODIFIED:20251024T100127Z
UID:10000092-1761561000-1761570000@aero.iisc.ac.in
SUMMARY:Advanced Fiber Laser Technologies and Applications from VPG Laserone: Integrating Industrial\, Medical\, and Scientific Innovations
DESCRIPTION:VPG Laserone\, a successor of IRE-Polus Ltd founded in 1991 by physicist Valentin P. Gapontsev\, represents over three decades of scientific leadership in high-power fiber laser technology. The company has established a vertically integrated manufacturing ecosystem in Russia—localizing 85 % of component production and dedicating 25 % of its investments to R&D—to design\, develop\, and industrialize advanced photonic systems for industrial\, medical\, and telecommunication applications. Its current portfolio spans continuous-wave\, quasi-continuous-wave\, nanosecond\, and picosecond fiber lasers\, with output powers reaching 60 kW and pulse energies exceeding 60 J. These sources power a range of industrial laser systems—including orbital pipe-welding (TongWELD)\, hydro-laser cutting (FL-HYDRO)\, laser cladding and hardening platforms (FL-CPM)\, robotic laser processing (LightBOT)\, and precision micro-machining systems (FL-MICRO). The company’s fiber-based laser cleaning and welding systems (LiteWELD\, LightCLEAN) demonstrate high beam quality\, energy efficiency > 40 %\, and operational reliability under continuous-duty cycles.\nBeyond manufacturing\, VPG Laserone extends photonics into biomedical and telecommunication domains. Its FiberLase CR and Urolase series of thulium-fiber medical lasers support clinical applications in tissue regeneration\, urology\, and surgery\, under ISO 13485:2016 certification. In telecom\, the HORIZON DWDM platform and KONUS optical transport systems enable ultra-long-reach optical communication networks with flexible topology and OTN switching.\nContinuous innovation in laser physics\, materials science\, and precision engineering underpins VPG Laserone’s mission to “fill reality with innovations.” By combining fundamental research with scalable industrialization\, the company aims to become a global benchmark in laser-based manufacturing and photonic integration by 2030—advancing scientific discovery and enabling transformative industrial applications across multiple sectors. \n  \nSpeaker :  Artur Andreev \, First Deputy CEO \, VPG Laserone LLC (formerly IRE-Polus Ltd)\nFryazino\, Moscow Region\, Russia
URL:https://aero.iisc.ac.in/event/advanced-fiber-laser-technologies-and-applications-from-vpg-laserone-integrating-industrial-medical-and-scientific-innovations/
LOCATION:Auditorium (AE 005)\, Department of Aerospace Engineering
CATEGORIES:AE Seminar
ATTACH;FMTTYPE=image/jpeg:https://aero.iisc.ac.in/wp-content/uploads/2025/10/Artur-.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251022T160000
DTEND;TZID=Asia/Kolkata:20251022T170000
DTSTAMP:20260408T064713
CREATED:20251021T054808Z
LAST-MODIFIED:20251021T054808Z
UID:10000090-1761148800-1761152400@aero.iisc.ac.in
SUMMARY:Experimental Studies and Control of Subsonic & Supersonic Flows Strategic Opportunities for Collaboration with Florida State University
DESCRIPTION:This talk will consist of parts: The first provides an overview of some interesting and challenging problems that have been studied over the past three decades by my research group. These studies span subsonic and supersonic flows and often involve developing or applying advanced diagnostics in difficult environments allowing us to peer into complex\, feature-rich flows and offering significant insight into the governing physics. I will highlight a few\, representative\, complex flows. The first problem involves subsonic flow around a cylinder with a slanted base—a canonical bluff body geometry analogous to an aircraft fuselage that is often dominated by strong unsteady-meandering vortices. The second consists of supersonic single and dual impinging jets – canonical models of flows that occur in VTOL/STOVL aircraft during hover. They often produce highly unsteady aeroacoustics that are resonance driven resulting in extremely high noise levels\, fatigue of structures and other issues. The third example is the three-dimensional flow field due to single and dual-fin generated swept shock wave/boundary layer interaction (SBLI). Such interactions are ubiquitous in supersonic-hypersonic air vehicles where they can impact internal and external aerodynamics. If time permits\, examples of implementing active flow control (AFC) for some of these problems will also be examined.\nThe research discussed herein is a very limited subset of the broad array of advanced research being conducted at Florida State University (FSU) by its faculty and students\, using many unique and cutting-edge facilities. An introduction to some of FSU’s core research strengths and capabilities is the focus of the second part of the talk. In addition to the STEM-focused fields\, FSU’s has many other areas of significant and emerging strength such as Health\, Business\, Entrepreneurship and Innovation-driven translation. As a result\, I hope to catalyze a dialogue between our institutions to identify a framework and paths for mutually beneficial partnerships. Such partnerships may include\, but are not limited to\, faculty exchanges\, joint research proposals and projects\, and student exchanges and residencies abroad\, with the goal of amplifying global exchange of ideas\, accelerating discovery and enhancing national and international impact. \nSpeaker: Farrukh Alvi \n  \nBiography :  \nFarrukh Alvi is the Don Fuqua Eminent Scholar and Professor of Mechanical & Aerospace Engineering. He also serves as the Senior Associate Provost for Strategic Initiatives and Innovation at Florida State University\, where he helps drive major institutional projects and partnerships. Over the past two years in this role\, Farrukh has led strategic initiatives from the Provost’s Office that have strengthened FSU’s global engagement\, advanced institutional innovation\, and expanded collaborative research opportunities across disciplines. He recently completed an IPA assignment as the Director for Institutional Research Capacity and Strategic Growth at the Basic Research Office under the Office of Undersecretary of Defense (Research & Engineering). Previously\, Farrukh served as the Senior Associate Dean for Research & Graduate Studies at the FAMU- FSU College of Engineering for nearly 6 years including as the Interim Dean in 2022.  In 2023\, he co-led Florida State University’s development and funding of a landmark $160M+ proposal for the Institute for Strategic Partnerships\, Innovation\, Research\, and Education (InSPIRE)\, ultimately serving as its founding Executive Director. He also leads\, as principal investigator\, a multi-institutional NSF Engines proposal to create the Florida Advanced Manufacturing Engine (FLAME)\, which was selected as a semifinalist. His efforts overseeing InSPIRE and FLAME have catalyzed new models for institutional collaboration and innovation. He is the founding director of the Florida Center for Advanced Aero-propulsion (FCAAP)\, a multi-university\, state-wide research\, training and education center he helped establish in 2008. Farrukh received his B.S. in Nuclear Engineering from UC Berkeley and his PhD in Mechanical Engineering from Penn State University. His research focuses on fundamental phenomenon\, primarily in compressible flows; active flow and noise control\, including the development and use of micro-fluidic actuators; and the development and use of advanced diagnostics. He holds numerous patents in his areas of research. His research has been funded by numerous US government entities(NSF\, AFOSR\, ONR\, DARPA\, ARO) and industry. He has mentored more than 60 PhD and MS students\, post-doctoral researchers and scientists. He is a Fellow of the Royal Aeronautical Society\, Fellow of ASME\, an Associate Fellow of AIAA and has served as an Associate Editor of the AIAA Journal.
URL:https://aero.iisc.ac.in/event/experimental-studies-and-control-of-subsonic-supersonic-flows-strategic-opportunities-for-collaboration-with-florida-state-university/
LOCATION:Auditorium (AE 005)\, Department of Aerospace Engineering
CATEGORIES:AE Seminar
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DTSTART;TZID=Asia/Kolkata:20251022T153000
DTEND;TZID=Asia/Kolkata:20251022T170000
DTSTAMP:20260408T064713
CREATED:20251021T110651Z
LAST-MODIFIED:20251021T110651Z
UID:10000091-1761147000-1761152400@aero.iisc.ac.in
SUMMARY:Ph.D.(Engg):Elastic Wave Propagation in Textured Polycrystalline Media
DESCRIPTION:The performance and reliability of structural components in advanced engineering applications\, such as turbine discs in aeroengines\, are critically influenced by their microstructural characteristics\, particularly the crystallographic texture. Texture controls the mechanical response of a material and ultimately governs the safe life of a component. Ultrasonic non-destructive evaluation (NDE) techniques offer a powerful way to routinely monitor such materials volumetrically; however\, interpreting wave measurements in polycrystalline media is challenging due to structural noise\, wave reflections and mode conversion. While numerical approaches enable the near-experimental exploration of elastic waves in such media\, they are often computationally expensive.\nThis work addresses this challenge by developing a computationally efficient and experimentally supported simulation-driven framework to study elastic wave propagation in textured polycrystalline media and to recover intrinsic material properties\, such as stiffness () and density ()\, from measured group velocities (). The work is structured in two major parts:\nFirst\, forward simulations: Synthetic polycrystalline volume elements (PVE) were generated using DREAM.3D\, subsequently embedded in COMSOL Multiphysics\, where wave propagation studies were conducted on PVEs with controlled texture intensities (e.g.\, Cube {001} <100> and Copper {112} <111>)\, as well as with the experimentally informed microstructures. The results reveal that increasing texture intensity leads to more anisotropic group velocity and reduced wave scattering. To efficiently incorporate large experimental orientation datasets obtained from deformation and annealing textures\, a reduced microstructural strategy was developed that preserves the texture information while significantly reducing computational cost. This approach provides experimental support for the small-sized PVEs\, demonstrating their reliability in capturing the sense of the wave velocity governed by crystallographic texture.\nBuilding upon the methodology developed\, an application-based study was conducted on the dual-microstructure of the turbine disc to investigate the combined effects of grain size and grain orientation on wave velocity. The results showed the dominance of grain orientation over grain size\, establishing texture as a crucial microstructural feature that governs elastic wave propagation and is also a prime indicator of the operational reliability of a component.\nSecond\, inverse property identification: A frequency-domain inversion framework based on spectral finite element method (SFEM)\, and nonlinear least square optimization was formulated to estimate elastic stiffness () and density () directly from the measured wave responses. This approach bypasses time-domain complexities and avoids dependence on prior material data\, achieving accurate recovery of intrinsic properties even in the presence of scattering noise.\nThe inversely predicted data () were validated for both synthetic and experimentally informed microstructures using a wave-independent methodology () that displays an excellent agreement within  4 % deviations. The results reveal how texture information can be inferred using uncertainty limits  and \, which are strongly influenced by microstructural scattering.\nOverall\, the work establishes a computationally efficient and experimentally supported pathway for texture-sensitive applications\, offering a rapid property identification in components where destructive methods are not feasible. These contributions enhance our understanding of wave-microstructure interactions and support the development of routine non-destructive evaluation of structural materials in aerospace and other critical engineering sectors.\n\nSpeaker :  Himanshu Gupta\n\nResearch Supervisors : Prof. S. Gopalakrishnan & Prof. Satyam Suwas
URL:https://aero.iisc.ac.in/event/ph-d-enggelastic-wave-propagation-in-textured-polycrystalline-media/
LOCATION:Auditorium (AE 005)\, Department of Aerospace Engineering
CATEGORIES:Thesis Colloquium / Defence
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