In this talk, I will describe how the concept of neuromorphic In-memory computing (IMC) has evolved over time. I will share some of our work on IMC spanning different flavours: volatile and non-volatile memory based, chip scale to large area covering flexible designs etc. Concrete applications of chip-scale IMC employed in a system to process event streams from neuromorphic vision sensors in traffic monitoring will be shown as a means to enable the Internet of Video Things. Applications of IMC in large area electronic applications such as e-skin and pervasive sensing by intelligent walls will also be discussed.

Speaker Bio:  

Prof. Arindam Basu received the B.Tech and M.Tech degrees in ECE from the IIT, Kharagpur, and the PhD. degree in ECE from the Georgia Institute of Technology, Atlanta. He is currently a Professor in City University of Hong Kong in the Department of EE and was a tenured Associate Professor at NTU, Singapore before this. He has received several awards such as MIT TR35 Asia Pacific, Georgia Tech Alumni Association’s 40 under 40 and several best paper awards/nominations at IEEE conferences. He has held several roles in IEEE Circuits and Systems society and is currently serving as the Associate Editor-in-Chief of IEEE Trans. on Biomedical Circuits and Systems.