I am Sree Nirmillo Biswash Tushar, currently a Ph.D. candidate in Computer Engineering at the University of Tennessee, Knoxville (UTK). I earned my M.S. in Electrical Engineering (2022) from Texas State University and my B.S. in Electrical and Electronic Engineering from Chittagong University of Engineering and Technology (CUET) in 2017.

My research focuses on neuromorphic computing architectures, spiking neural networks, and memristive in-memory computing systems for energy-efficient artificial intelligence. I work at the intersection of device-level modeling, mixed-signal circuit design, and hardware-aware learning algorithms to develop biologically inspired computing platforms for edge intelligence, computer vision, and continual learning. My work includes memristive dot-product engines, in-memory template matching systems, refractory-period optimization for SNNs, and silicon-validated neuromorphic architectures implemented in 65 nm CMOS technology.

My research bridges algorithm–hardware co-design with practical circuit implementation, aiming to advance scalable, low-power AI systems beyond conventional von Neumann architectures.