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 […]
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 […]
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 […]
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, […]
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 […]
SSWR, Department of Aerospace Engineering, is organizing a workshop on Ideation. Resource Person: Dr. Ripi Singh Digital Transformation and Innovation Coach; Author, Keynote Speaker, Futurist, 4.0 Evangelist; Former Aero Faculty, Former […]
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 […]
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 […]
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 […]
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. […]
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 […]
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 […]
