Speaker: Dr. Arijit Raychowdhury, GeorgiaTech University
Collective dynamical systems offer unique opportunities for computing by harnessing the complex interactions of simple elements such as oscillators or spike generators. This is possible, when such dynamics can be programmed, controlled, and observed. In this talk, I will present some of our work where we are exploring the time-evolution of both deterministic and stochastic dynamical systems in both CMOS and post-CMOS computing substrates. I will show applications of such systems in solving inverse problems, distributed optimizations (convex and combinatorial) and machine learning. In particular, I will discuss our recent work that connects dynamics and algebraic graph theory. Finally I will talk about implementation of such dynamics in mixed-signal CMOS, including a recent demonstration of reinforcement learning for energy-constrained edge devices. I will conclude with a brief discussion of the opportunities, potentials and challenges in realizing such computational systems.
Arijit Raychowdhury is an Associate Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology where he joined in January, 2013. He currently holds the ON Semiconductor Jr Professorship and is the Associate Director of the Center for Co-Design of Chips, Packaging and Systems. He received his Ph.D. degree in Electrical and Computer Engineering from Purdue University in 2007. Prior to joining academia, he was a staff scientist at Intel's Circuit Research Labs for five years where he worked on mixed signal and digital designs for energy-efficiency sensors and compute nodes. Before that, he spent one and a half years at Texas Instruments where he worked on developing the world’s first adaptive echo cancellation unit for DSL modems, which received the EDN industrial design award. Dr. Raychowdhury holds more than 25 U.S. and international patents and has published over 150 articles in journals and refereed conferences. He and his students have won multiple best paper awards, fellowships and best thesis awards.