Leads or participates in research on autonomous electronic systems, focusing on developing new AI solutions using the principles of learning automata; also explores ways to improve system energy efficiency through reducing circuit complexity and autonomously controlling power/performance ratios.
Background
Research interests include Learning Automata driven AI Hardware Design, Energy-efficient and Reliable Electronic Systems Design, Approximate Computing Systems Design, and Software/Hardware Co-design for Emerging/Translational Applications.
Miscellany
Welcomes new postgraduate (PhD) researchers or interns interested in the mentioned or similar research areas to join his team.