Keynote Speakers
Title - Optimization of Edge ML hardware based on Activation Function Approximation.
Prof. Srinivas Katkoori, University of South Florida
Subtitle: In this talk, Prof. Srinivas Katkoori will address the significant optimization that is required to deploy Machine Learning (ML) inference models on the IoT edge by presenting a class of optimization techniques based on the approximation of activation functions (RELU, Sigmoid, Tan h).
Bio: Dr. Srinivas Katkoori is an Associate Professor at the University of South Florida (USF), Tampa, FL. His research group is actively conducting research
on related topics such as low power digital VLSI design, reliable system design, Internet-of-Things (IoT), smart embedded systems,
smart transportation, smart healthcare, etc. Dr. Katkoori has directed 19 doctoral dissertations and 43 Master’s Theses. Dr. Katkoori
serves on technical committees of several VLSI and embedded conferences and is associate editor of several smart embedded systems journals.
To date, he published over 151 peer-reviewed journal and conference papers, 1 book, 5 book chapters, and holds 2 US patents. Seven (7) papers he has
co-authored were nominated for best paper awards at 2003 ASP-DAC, 2014 IFIP/IEEE VLSI SOC, 2019 AsianHOST, 2020 and 2023 IEEE iSES, and 2021 and 2022
IFIP IoT conferences. Three (2) papers he co-authored are recognized with the best paper award at 2020 and 2023 IEEE iSES symposia and 2021 IFIP IoT conference.
Among notable professional service, Dr. Katkoori served on ACM SIGDA Board (2010- 2013) as Treasurer, as an Associate Editor of IEEE Transactions on VLSI (2006-10),
the vice-chair of IFIP Working Group 10.5 on Design and Engineering of Electronic Systems (2015-2020). Dr. Katkoori served as the General Chair and
Program Chair of several conferences, IEEE iSES, IFIP IoT, GLSVLSI, ISVLSI, etc. He is a Senior Member of ACM and IEEE. As of September 2023,
per Google Scholar, his research publications had 2858 citations, with an h-index of 25, and an i10-index of 55.
Title - Hardware Security for IoT Devices.
Prof. Kamalakanta Mahapatra, National Institute of Technology, Rourkela
Abstract: In this talk, Prof. Mahapatra explains the importamce of “Design for Trust” in IoT devices by providing a deeper understanding of hardware security and protection. He also talks about the importantance to build a secure hardware-level foundation for the security of the devices, as reliance on software security alone would not be adequate.
Bio: Dr. Kamalakanta Mahapatra is a Professor (HAG) in the Electronics and Communication Engineering Department of the National Institute of Technology, Rourkela, India. He assumed the position of Professor on 15th February 2004. He obtained his B. Tech degree with Honors from Regional Engineering College, Calicut in 1985, M. Tech from Regional Engineering College, Rourkela in 1989, and Ph. D. from IIT Kanpur in 2000. He is a senior member of the IEEE and a fellow of the Institution of Engineers (India) in the ECE Division. Presently, he is the Mentor of the IEEEE CTSoC chapter in the Kolkata section and Chairman of the IEEE Rourkela Sub-section. He has published several research papers in National and International Journals. He received the coveted J. C. Bose Award in the year 2014 for outstanding Engineering oriented research. His research interests include Embedded Computing Systems, VLSI Design, Hardware Security, IoT, and Industrial/Consumer/Power Electronics.
