The University of Arizona Jun 2012 - Jun 2015
Postdoctoral Research Associate
Wright Patterson Air Force Jun 2012 - Jun 2015
Data Scientist
Rosalind Franklin University Mar 2010 - Jun 2012
Postdoctoral Research Fellow
Bournemouth University Jan 2009 - Feb 2010
Learning Support Assistant
Bournemouth University Jan 2005 - Dec 2006
Lecturer
Education:
Bournemouth University 2003 - 2007
Doctorates, Doctor of Philosophy, Medical Engineering, Philosophy
Newcastle University 2002 - 2003
Masters, Robotics, Engineering, Mechatronics
Punjab Technical University, Jalandhar 1997 - 2001
Bachelors, Bachelor of Technology, Mechanical Engineering
Skills:
Matlab Statistics Biomedical Engineering Algorithms Image Processing Biomechanics Finite Element Analysis Research Virtual Reality Sensors Signal Processing Gait Analysis Clinical Research Data Analysis Science Sports Biomechanics Body Worn Sensors Postural Balance Motion Analysis Thermal Imaging Microsoft Office Artificial Neural Networks Motor Learning Inertial Sensors Neurorehabilitation Predictive Analytics Exergaming Sports Medicine Biostatistics Research Design Machine Learning Python Spss R Wearable Sensor Based Exergaming Predictive Modeling Support Vector Machine Random Forest Neural Networks Text Mining Natural Language Processing Satistical Modelling Sql C++ Solidworks
Jun 2012 to 2000 Postdoctoral Research AssociateDr. William Scholl College of Podiatric Medicine
2010 to 2012 Postdoctoral Fellow
Education:
Bournemouth University Bournemouth 2003 to 2007 Ph.D. in Biomedical EngineeringUniversity of Newcastle Upon Tyne 2002 to 2003 M.Sc. in MechatronicsPunjab Technical University 1997 to 2001 Bachelors of Tech in Mechanical Engineering
Us Patents
Systems And Methods For Predicting And Optimizing Performance
- Wright-Patterson AFB OH, US Gurtej S. Grewal - Beavercreek OH, US
Assignee:
Government of the United States, as represented by the Secretary of the Air Force - Wright-Patterson AFB
International Classification:
A63B 24/00 G06F 17/18 G06F 17/30 G06F 1/16
Abstract:
Systems and methods for predicting/optimizing physical performance for a future event including selecting performance parameters indicative of performance for the future event, collecting data for the performance parameters and training parameters for past events, comparing the collected data for determining which training parameters are statistically significant to the performance parameters, and providing a training program for manipulating the training parameters to optimize performance for the future event.