IFIP-IoT 2023 Proceedings link from Springer
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 - IoT Technology Spectrum: From Sensor Connectivity to AI-enabled IoT.
Prof. Baek-Young Choi, University of Missouri Kansas City (UMKC)
Abstract: In this talk, Prof. Baek-Young Choi will discuss the spectrum of technologies relevant to IoT, examine the lessons learned from latest applications, and consider future directions in the context of 6G.
Bio: Dr. Baek-Young Choi is a Professor of Computer Science in the School of Science and Engineering at the University of Missouri Kansas City (UMKC). She received her Ph.D. degree in Computer Science and Engineering from the University of Minnesota, Twin Cities. She published three books on network monitoring, storage systems, and cloud computing. She has been a faculty fellow of the National Aeronautics and Space Administration (NASA), U.S. Air Force Research Laboratory’s Visiting Faculty Research Program (AFRL-VFRP) and Korea Telecom’s - Advance Institute of Technology (KT-AIT). She has served as an associate editor for a number of journals, including IEEE Internet-of-Things Journal, Elsevier Journal Computer Networks, Springer Journal of Telecommunication Systems, and IEEE Consumer Electronics Magazine. Her research interests generally lie in the broad area of networking and communications, with specific emphasis on Internet-of-Things, software-defined networking, cybersecurity, and smart city technologies. She is a senior member of ACM and IEEE, and a Chair of Women in Communications Engineering (WICE) in the IEEE Communications Society.
Title - Hardware Security for IoT Devices.
Prof. Kamalakanta Mahapatra, National Institute of Technology, Rourkela
Subtitle: 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.
Title - Design and Applications for the Open Aerial Computing Platform
Prof. Shengli Fu , University of North Texas
Abstract: In this talk, Prof. Fu discusses an open networked airborne computing infrastructure that is critically needed to support researchers in communication, control, computing, and applications with UAS.
Bio: Dr. Shengli Fu is Professor and Chair of the Department of Electrical Engineering at the University of North Texas. He is the director of the Communications and Signal Processing Laboratory at UNT. Fu’s research interests include coding and information theory, wireless communication and networks and communication for aerial networks. His research has been funded by multiple NSF grants and he actively works with local industries for innovative technology development and transfer. His research has received awards such as Tech Titan of the Future University Level award, Best Paper Award at the IEEE Wireless Communications and Networking Conference (WCNC), and Best Use of Advanced Wireless Award for the demo of Drone-carried On-demand WiFi Networks in US Ignite.