Principal Investigator


Suman K. Chowdhury, PhD.

Dr. Chowdhury is the principal investigator of the HPNE Lab (HPNEL) in the Department of Industrial Engineering at Texas Tech University.

To learn more, click here




The primary goal of the lab is to study the designs of products, tools, and occupational tasks in order to reduce fatal and non-fatal brain and musculoskeletal injuries, neuromuscular fatigue, and thus improve the effectiveness of the human body as a whole. We also investigate mechano-physiological mechanisms of neuromusculoskeletal injuries and disabilities in order to identify causal factors and prevention/treatment protocols. Our expertise lies in computational and experimental biomechanics, neuromuscular fatigue modeling, OpenSim musculoskeletal modeling, brain activation analysis, computer-aided design,  finite element modeling, and human factors engineering.


Research at the HPNEL includes experimental, theoretical (mathematical modeling), and in-silico simulation approaches to study the human brain, muscle functionality, total mobility, and visual perception. 


  • Experimental: biodynamic and neurophysical measurement methods

  • Theoretical: population-specific mathematical modeling of neuromuscular, brain cognitive function, and visual responses of human interactions

  • Simulation: focus on hypothetical finite-element and OpenSim computer simulations to understand both mechano-physiological and neural effects in order to derive effective design methodology as well as injury prevention and intervention strategies



The HPNEL houses many state-of-the-art facilities including a motion capture system, biopotential sensors, immersive technology (virtual reality), a 3-DOF driving simulator, a 32-channel electroencephalogram (EEG)16-channel surface electromyography (EMG), flexible electrocardiogram (EKG) sensors, iso-kinetic strength measurement system, 3D scanner, treadmill, helmet impact testing setup, helmet roll-off testing setup, eye-tracking system, force plates, and hand and back isometric strength measurement systems.  The majority of these bio-dynamic and neurophysical measurement systems can be both physically and digitally synchronized to conduct human subject studies in both physical and virtual settings. 

March 2022​

  • HPNE Lab was awarded by the DHS to develop a mission-adaptive, modular helmet for the law enforcement officers and first responders

  • Work published in IEEE, "Evaluating Visual-Spatiotemporal Coregistration of a Physics based Virtual Reality Haptic Interface"