Dr Ravi Vaidyanathan is a Senior Lecturer in Biomechatronics in the Department of Mechanical Engineering at Imperial College London. He earned his Ph.D. in biologically inspired systems at Case Western Reserve University (USA) in 2001, and worked in industry through 2004, holding two directorships in control systems and medical engineering Prior to his post at Imperial, he completed a Senior Research Fellowship in Brain-Computer Interface at the University of Southampton, was a Research Assistant Professor of Systems Engineering at the US Naval Postgraduate School, and a Senior Lecturer in Biodynamics at the University of Bristol.
He has supported a range of industrial projects based on his academic research, one of which produced led to first ever wheelchair controller for the physically challenged that did not require external bodily movements or invasive insertion; another has resulted in a patent with a pending writ for its litigation before the US Supreme court.
et al., 2018, A biomimicking design for mechanical knee joints, Bioinspiration & Biomimetics, Vol:13, ISSN:1748-3182
et al., 2018, Performance of a wearable acoustic system for fetal movement discrimination, PLOS One, Vol:13, ISSN:1932-6203
Woodward RB, Shefelbine SJ, Vaidyanathan R, 2017, Pervasive Monitoring of Motion and Muscle Activation: Inertial and Mechanomyography Fusion, IEEE-ASME Transactions on Mechatronics, Vol:22, ISSN:1083-4435, Pages:2022-2033
et al., 2015, Movement decoding using neural synchronization and inter-hemispheric connectivity from deep brain local field potentials, Journal of Neural Engineering, Vol:12, ISSN:1741-2560
et al., 2014, An automated approach towards detecting complex behaviours in deep brain oscillations, Journal of Neuroscience Methods, Vol:224, ISSN:0165-0270, Pages:66-78
et al., 2013, Measuring motion with kinematically redundant accelerometer arrays: Theory, simulation and implementation, Mechatronics, Vol:23, ISSN:0957-4158, Pages:518-529
et al., 2013, A heterogeneous framework for real-time decoding of bioacoustic signals: Applications to assistive interfaces and prosthesis control, Expert Systems With Applications, Vol:40, ISSN:0957-4174, Pages:5049-5060
et al., 2012, A reflexive vehicle control architecture based on a neural model of the cockroach escape response, Proceedings of the Institution of Mechanical Engineers Part I - Journal of Systems and Control Engineering, Vol:226, ISSN:0959-6518, Pages:699-718
et al., 2010, A Feature Ranking Strategy to Facilitate Multivariate Signal Classification, IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Reviews, Vol:40, ISSN:1094-6977, Pages:98-108
et al., 2007, A dual mode human-robot teleoperation interface based on airflow in the aural cavity, International Journal of Robotics Research, Vol:26, ISSN:0278-3649, Pages:1205-1223
et al., 2009, A biologically inspired micro-vehicle capable of aerial and terrestrial locomotion, Mechanism and Machine Theory, Vol:44, ISSN:0094-114X, Pages:513-526
et al., 2007, Tongue-movement communication and control concept for hands-free human-machine interfaces, IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans, Vol:37, ISSN:1083-4427, Pages:533-546
et al., 2010, Development of a biologically inspired multi-modal wing model for aerial-aquatic robotic vehicles through empirical and numerical modelling of the common guillemot, Uria aalge, Bioinspiration & Biomimetics, Vol:5, ISSN:1748-3182
et al., 2009, A Dynamic Channel Selection Strategy for Dense-Array ERP Classification, IEEE Transactions on Biomedical Engineering, Vol:56, ISSN:0018-9294, Pages:1040-1051