Keynote Speaker

Prof. Shuvra S. Bhattacharyya

University of Maryland, College Park, USA, and INSA/IETR/INRIA, Rennes, France

Title: Compact System-level Models for Design and Synthesis of Smart Sensing Systems

Abstract: This talk discusses the integration of coarse-grain dataflow techniques with Markov decision processes for modeling, synthesis, and optimization of embedded software in smart sensor systems. Dataflow is a powerful formalism for representing a wide variety of applications for signal processing and knowledge extraction from distributed sensing devices. Markov decision processes can be applied to systematically drive the dynamic adaptation of dataflow graph parameters to improve performance in the face of uncertainties or time-varying characteristics in the operating environment or target platform. Software synthesis enables the automated, optimized derivation of embedded software implementations from cooperating dataflow graphs and Markov models. This talk presents foundations underlying this new form of software synthesis, and how they can be applied to address complex challenges facing designers of advanced smart sensing systems.

Brief Biography: Shuvra S. Bhattacharyya is a Professor in the Department of Electrical and Computer Engineering at the University of Maryland, College Park. He holds a joint appointment in the University of Maryland Institute for Advanced Computer Studies (UMIACS). He also holds a part-time position as International Research Chair, joint with INSA/IETR, and INRIA in Rennes, France. His research interests include signal processing, embedded systems, electronic design automation, machine learning, wireless communication, and wireless sensor networks. He received the Ph.D. degree from the University of California at Berkeley. He has held industrial positions as a Researcher at the Hitachi America Semiconductor Research Laboratory (San Jose, California), and Compiler Developer at Kuck & Associates (Champaign, Illinois). He has held a visiting summer research position at AFRL in Rome, New York. From 2015 through 2018, he was a part-time visiting professor in the Department of Pervasive Computing at the Tampere University of Technology, Finland, as part of the Finland Distinguished Professor Programme (FiDiPro). He is a Fellow of the IEEE.