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X-ORIGINAL-URL:https://aero.iisc.ac.in
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:20251204T120000
DTEND;TZID=Asia/Kolkata:20251204T130000
DTSTAMP:20260415T170427
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
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251211T030000
DTEND;TZID=Asia/Kolkata:20251211T160000
DTSTAMP:20260415T170427
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
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251215T110000
DTEND;TZID=Asia/Kolkata:20251215T120000
DTSTAMP:20260415T170427
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
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251222T150000
DTEND;TZID=Asia/Kolkata:20251222T170000
DTSTAMP:20260415T170427
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
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