Research Areas:

VLSI systems for resource-constrained applications, Low Power Design Techniques, Machine learning hardware design, Edge Computing, Healthcare Technology and chip-design targeting remote health monitoring including cardio-vascular diseases, Diabetes, Autism Spectrum Disorder, Neurological disorder, Orthopaedically handicapped patients, Accelerating Cancer diagnostic procedures through hardware-software co-design, Signal Processing Algorithm and VLSI Architectures, Digital Arithmetic, Hardware Security, Real-time Battery Health monitoring for the Electric Vehicles, Design for Testability and Reliability.