Dr. Rajan Prasad is a Postdoctoral Fellow in the Department of Mechanical and Nuclear Engineering at Khalifa University in Abu Dhabi, UAE. Before this role, he was a Postdoctoral Fellow in the Medical Sciences department at Khalifa University, where he focused on biofeedback research aimed at reducing mental stress through analyzing bio-signals such as heart rate, ECG, EEG, and PPG.
Dr. Prasad earned his bachelor's degree in mechanical engineering from the Institute of Engineering (IOE), Tribhuvan University, Pokhara, Nepal, and graduated with top honors. His academic focus included design and dynamics, specializing in machine and tool design. He completed his Master's degree in Mechanical Engineering at the Beijing Institute of Technology, China, where he received the 'Distinguished International Student Award.' His Master's thesis centered on real-time torque vectoring control of an unmanned off-road vehicle, addressing complex nonlinear constraints focusing on dynamic control and the practical implementation of vehicle control systems.
He obtained his Ph.D. in Mechanical Engineering, specializing in bio-robotic assistive exoskeletons for stroke rehabilitation. His doctoral research contributed to developing a simulation-based framework for cable-driven lower limb rehabilitation exoskeletons (C-LREX ). During his Ph.D. studies, he also served as a teaching assistant for courses in mechatronics and solid mechanics.
Dr. Rajan is working toward a manipulator (discrete rigid and soft) for underwater robotic applications. He is particularly interested in mechanical system design, dynamics, and control, from designing to modeling and control. He is passionate about the entire process of mechanical system development, from design to modeling and control.
C-LREX-Tool: Comprehensive Analysis Tool for Cable Driven Lower-limb Rehabilitation Exoskeletons
The C-LREX-Tool is a powerful software application designed specifically for the analysis and evaluation of Cable Driven Lower-limb Rehabilitation Exoskeletons. It provides researchers, engineers, and rehabilitation specialists with a wide range of features and functionalities to enhance the performance and functionality of their exoskeleton systems.
Link:
C-LREX: https://github.com/rajanprasad460/C-LREX-Tool