W14: Intelligent Synergies of Sensing and Communications for Green IoT

Co-Organizer: Chen Dai, Nanjing University of Posts and Telecommunications, China
Co-Organizer: Haotong Cao, Nanjing University of Posts and Telecommunications, China
Co-Organizer: Yueyue Dai, Huazhong University of Science and Technology, China
Co-Organizer: Sahil Garg, Ecole de technologie superieure, Canada

Abstract: In the face of the rapid growth of IoT and increasing environmental concerns, our workshop focuses on a crucial aspect for Green IoT: the intelligent integration of sensing and communications. As IoT spreads across smart cities, agriculture, and industrial sectors, achieving synergy between data collection and transmission is essential for sustainability. The workshop addresses significant challenges, such as aligning high-resolution sensing with energy-efficient protocols, ensuring device interoperability, and managing the trade-off between data and energy. By bringing together industry professionals and academics, we aim to explore innovative solutions. Leveraging AI-driven resource allocation, containerized network orchestration, and energy harvesting technologies, we strive to develop frameworks that reduce redundancy and optimize lifecycle sustainability. This will enable real-world applications in areas like smart grids and intelligent transportation, ultimately contributing to a more sustainable future for IoT.

Co-Organizer’s Bios:

Chen Dai

Chen Dai received the Ph.D. degree in 2022 from the College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China. From March 2021 to March 2022, he was a Visiting Scholar with the University of Manitoba, Canada. He is currently an Assistant Professor with the School of Computer Science, Nanjing University of Posts and Telecommunications, China. He was the recipient of the 2024 Jiangsu Excellent Doctoral Dissertation Award. He has served as the TPC member of multiple IEEE conferences. His research interests include resource management, integrated sensing and communication, and applied game theory and machine learning for wireless networks.

Program:

Shu Han Room, with the time scheduled for Sunday 16:00-17:30

 

Organizer’s Bios:

Haotong Cao

Haotong Cao (Member, IEEE, Senior Member, CIC) received the B.S. Degree in Communication Engineering from Nanjing University of Posts and Telecommunications (NJUPT) in 2015. He received the Ph.D. Degree from NJUPT, China, in 2020. He was a visiting scholar of Loughborough University, U.K. in 2017. He was the PostDoc in the Hong Kong Polytechnic University, Hong Kong, China, from 2020 to 2023. He is currently with Nanjing University of Posts and Telecommunications, China. He has served as the TPC member of multiple IEEE conferences, such as IEEE ICC, IEEE Globecom. He has published multiple technical papers since 2016, such as IEEE TII, IEEE TITS, IEEE IoT-J, IEEE TVT, IEEE TNSM, IEEE TNSE, IEEE NETWORK, IEEE CL, IEEE WCL, (Elsevier) Computer Networks, (Elsevier) Computer Communications, IEEE INFOCOM, IEEE ICC and IEEE Globecom. His research interests include 6G networks, SDN, NFV, network virtualization, convex optimization, physical layer security, UAV.

Yueyue Dai

Yueyue Dai (Member, IEEE) received the Ph.D. degree in communication and information system from the University of Electronic Science and Technology of China, Chengdu, China, in 2019. She is currently an Associate Professor with the School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, China. Her research interests include mobile-edge
computing, blockchain, and deep reinforcement learning. Dr. Dai was the recipient of the Excellent Doctoral Dissertation Award from the China Education Society of Electronics in 2020 and the IEEE
ICCT Best Paper Award in 2019. She was listed as the World’s Top 2an Editor for China Communications. She is/was as a Technical Program Committee Member for ICDCS, IWQoS, IEEE ICC, Globecom, and VTC.

Sahil Garg

Sahil Garg (Member, IEEE) is currently working as a Post-Doctoral Research Fellow with the Department of Electrical Engineering, École de technologie supérieure, Université du Québec, Montreal, Canada. His research interests include machine learning, big data analytics, knowledge discovery, cloud computing, the Internet of Things, software defined networking, and vehicular ad-hoc networks. Some of his research findings are published in top-tier journals, such as IEEE Transactions on Multimedia, IEEE Transactions on Vehicular Technology, IEEE Transactions on Industrial Informatics, IEEE Transactions on Sustainable Computing, IEEE Internet of Things Journal, IEEE Network, IEEE Communications Magazine, IEEE Wireless Communications Magazine, IEEE Consumer Electronics Magazine, FGCS (Elsevier), Information Sciences (Elsevier), and various international conferences of repute, such as IEEE GLOBECOM, IEEE ICC, IEEE WCNC, IEEE VTC, IEEE INFOCOM Workshops, ACM MobiCom Workshops, ACM MobiHoc Workshops, etc. He was a recipient of the prestigious Visvesvaraya Ph.D. Fellowship from the Ministry of Electronics and Information Technology under the Government of India (2016–2018). For his research, he also received the IEEE ICC Best Paper Award in 2018 at Kansas City, USA. He serves as the Managing Editor for Human-Centric Computing and Information Sciences (Springer) and an Associate Editor for IEEE Network Magazine, IEEE Systems Journal, Applied Soft Computing (Elsevier), FGCS, and International Journal of Communication Systems (Wiley). He also serves as the Workshops and Symposia Officer for the IEEE ComSoc Emerging Technology Initiative on Aerial Communications.

 

For additional information, please visit: https://sites.google.com/view/isac-iot-2025/home