Team

Dr. Nikhil Bajaj is an Assistant Professor in the Department of Mechanical Engineering and Materials Science at the University of Pittsburgh. He has held research positions on several projects in the areas of control systems, sensing and machine learning, computational design, and heat transfer. His research interests include nonlinear dynamical and control systems, and the analysis and design of mechatronic systems. At the interface of these fields lies development of sensor systems and instrumentation, where he has developed resonant mass sensors for detection of varied analytes from trinitrotoluene to traumatic brain injury biomarkers, along with the corresponding custom instrumentation required for accurate sensor readout. In addition, Dr. Bajaj has experience in combining sensor data sources using machine learning for improved sensing and classification outcomes, as well as incorporating engineering design principles to improve feature selection and reduce computational and memory requirements in machine learning and sensor fusion tasks.

Dr. Bajaj and his research group are currently focused on work on making MEMS inertial sensors resilient to environmental issues and attack, and tackling theoretical and practical problems in the deployment of machine learning, nonlinear dynamics, and control in resource-constrained systems and products.