The Internet of Things (IoT) uses information gathered from various digital devices to power new businesses and conveniences. What kind of future will be realized by the evolution of IoT technologies? The “Technology to support new IoT infused lifestyles” session will bring together the researchers behind these technologies to discuss the future beyond our current lifestyles shaped by the IoT and the future to come. Please feel free to join us!
Prof. Ai-Chun Pang
Ai-Chun Pang received B.S., M.S., and Ph.D. degrees in Computer Science and Information Engineering from National Chiao Tung University, Taiwan, in 1996, 1998, and 2002, respectively. Dr. Pang joined the Department of Computer Science and Information Engineering, National Taiwan University (NTU), Taiwan, in 2002 and is now a Distinguished Professor. She was the Associate Dean of the College of Electrical Engineering and Computer Science from 2018 to 2022. She is also the co-founder of OmniEyes Inc. (a startup company focusing on edge-AI technology for mobile video platform). Her research interests include wireless and mobile networking, edge computing, and IoT. Dr. Pang is currently the editor of IEEE Transactions on Mobile Computing, IEEE Transaction on Vehicular Technology, IEEE Transactions on Network and Service Management, IEEE Transactions on Emerging Topics in Computing, and ACM Transactions on Cyber-Physical Systems. She co-authored the book “Wireless and Mobile All-IP Networks” published by John Wiley. She was a recipient of Outstanding Research Award (a prestigious award in Taiwan) of the Ministry of Science and Technology (MOST) in 2019 and 2022. She is an IEEE Vehicular Technology Society (VTS) Distinguished Lecturer in 2018-22 and an IEEE Communications Society Distinguished Lecturer in 2022-2023. She received VTS Women’s Distinguished Career Award in 2020. She is a Fellow of the IEEE.
Dr. Kana Eguchi, Department of Real World Data R&D, Graduate School of Medicine, Kyoto University
Talk Title: Shaping the Future of Healthcare:Towards IoT-Infused P4 Medicine
Dr. Kana EGUCHI (M’17–SM’21) is a program-specific assistant professor in the Department of Real World Data R&D, Graduate School of Medicine, Kyoto University. Before starting her academic research career, she had over 10 years of work experience as a company researcher at Nippon Telegraph and Telephone (NTT) Corporation, Tokyo, Japan, where she engaged in research on healthcare technologies. Her current research interests include biosignal processing, wearable/ubiquitous computing, medical engineering, and medical informatics. Dr. Eguchi received her B.E. degree from the Kyoto Institute of Technology, Kyoto, Japan, in 2010, and her M.S. and Ph.D. degrees in informatics from Kyoto University, Kyoto, Japan, in 2012 and 2020, respectively. Dr. Eguchi is a member of the Institute of Electronics, Information, and Communication Engineers of Japan (IEICE), the IEEE Engineering in Medicine and Biology Society (EMBS), the Japanese Society for Medical and Biological Engineering (JSMBE), and the Japanese Society of Sleep Research (JSSR). Her awards include the Telecom System Technology Award for Students (Honorable Mention) from the Telecommunications Advancement Foundation, in 2019.
Dr. Shachi Sharma, Department of Computer Science, South Asian University, New Delhi, India
Talk Title: Modeling of IoT Traffic: Current Research and Future Challenges
Dr. Shachi Sharma (Member, IEEE) received her PhD degree from the School of Computer and System Sciences, Jawaharlal Nehru University, New Delhi, India, in 2007. Her total work experience of more than 22 years is a mix of academia and industry. She worked with Center for Development of Telematics (C-DoT) India, Alcatel-Lucent India Private Limited and Bharti Telesoft (now Tech Mahindra), India before completing her PhD degree. Post PhD, she was a research scientist with IBM Research Laboratory, New Delhi, India from 2008 to 2017. She was a visiting faculty with Indraprastha Institute of Information Technology (IIIT) Delhi, India, in 2018. Thereafter, she joined Department of Computer Science, South Asian University, New Delhi, India. Her research work is substantiated by many international research publications and U.S. patents. Her research interests include stochastic modeling and applications of maximum entropy framework in diverse areas of Computer Science. Presently, she is working on designing appropriate traffic models for IoT and 5G communication systems. She has received Research Accomplishment Awards at IBM Research Lab for her projects on SIP Service Management, Presence Technologies, Solution Information Management and Spatio-Temporal Analytics on Big Data Platforms.
Prof. Yusheng Ji, Information Systems Architecture Science Research Division, National Institute of Informatics, Japan.
Talk Title: Resource Allocation for Over-the-Air Federated Learning with Energy Harvesting
Dr. Yusheng Ji received her B.E., M.E., and D.E. degrees in Electrical Engineering from the University of Tokyo. She joined the National Center for Science Information Systems (NACSIS), Japan, in 1990. She is currently a Professor at the National Institute of Informatics (NII), and the Graduate University for Advanced Studies (SOKENDAI), Japan. Her research interests include resource management in wireless networks, and mobile computing. She is an IEEE Fellow and a Distinguished Lecturer of IEEE Vehicular Technology Society. She has received 2021 IEEE Internet of Things Journal Best Paper Award, 2021 IEEE COMSOC Outstanding Paper Award, and many other awards. She is/has served as Editor of IEEE Transactions of Vehicular Technology, Associate Editor of IEEE Vehicular Technology Magazine, TPC Co-chair of IEEE INFOCOM 2023, Symposium Co-chair of IEEE ICC 2020, Symposium Co-chair of IEEE GLOBECOM 2012 and 2014, Track Co-chair of IEEE VTC 2016 Fall and 2017 Fall, General Co-chair of ICT-DM 2018, MSN2020, and TPC member of IEEE ICC, GLOBECOM, WCNC, etc.