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Dr Ranjan Vepa
BTech(IITMadras) MASc(Wat) PhD(Stan)

Dr Ranjan Vepa

Senior Lecturer in Aerospace Engineering

+44 (0)20 7882 5193
Engineering 227, Mile End


support hours:
Wednesdays 15.00-17.00 hrs, Fridays 11.00-12.00 hrs, Tuesdays 13.00: 15.00 hrs
Expertise: Dynamic modelling, control engineering, simulation, space & biomimetic robotics & UAVs, biomedical control systems, aeroelasticity, smart structures, flow control
SEMS Research Division:
Affiliations: Dr. Vepa is a Member, Royal Aeronautical Society, London, a Member of the Royal Institute of Navigation, London, a Member of the IEEE USA and a Fellow of the UK's Higher Education Academy.

Brief Biography

Dr. Ranjan Vepa obtained his Ph. D. (Applied Mechanics) from Stanford University, USA, specialising in the area of Aeroelasticity under the guidance of the Late Prof. Holt Ashley. He is currently a lecturer in the School of Engineering and Material Science, Queen Mary, University of London where, since 2001, he is also the Programme director of the Avionics Programme. Prior to joining Queen Mary he was with NASA Langley Research Center, where he was awarded a National Research Council Fellowship and conducted research in the area of unsteady aerodynamic modelling for active control applications. Subsequently he was with the Structures Division of the National Aeronautical Laboratory, Bangalore India and the Indian Institute of Technology, Madras, India.
Dr. Vepa is the author of seven books titled: CRC Press: Electric Aircraft dynamics: A Systems Engineering Approach, 2020, Nonlinear Control of Robots and Unmanned Aerial Vehicles: An Integrated Approach, 2016, Flight Dynamics Simulation and Control of Aircraft: Rigid and Flexible, 2014, Springer: Dynamic Modelling, Simulation and Control of Energy Generation, 2013, Wiley: Dynamics of Smart Structures, 2010 and Cambridge University Press: Dynamics and Control of Autonomous Space Vehicles and Robotics 2019, Biomimetic Robotics, 2009. His research interests include design of control systems, and associated signal processing with applications in aerospace systems, robotics, and applied robotic systems associated with biomedical engineering, energy systems, including wind turbines and smart structures. In particular the research interests include dynamics and robust adaptive estimation and control of linear and nonlinear aerospace, energy and biological systems with parametric and dynamic uncertainties.