Title:Recent Advances in Cross-Technology Communication in IOT Environmentsg
Speaker:Prof. Tian He
Abstract:Recent advances in Cross-Technology Communication (CTC) have improved efficient coexistence and collaboration among heterogeneous wireless devices (e.g., WiFi, ZigBee, Bluetooth, and LTE-U) operating in the same ISM band. However, until now the effectiveness of existing CTCs, which rely on packet-level modulation, is limited due to their low throughput (e.g., tens of bps). This talk introduces our recent breakthrough towards high- throughput CTC via physical-level emulation. Our technique uses a high-speed wireless radio (e.g., WiFi OFDM, LTE) to emulate the desired signals of a low-power radio (e.g., ZigBee/BLE) without any hardware and firmware modification - a feature allowing zero-cost fast deployment on existing WiFi/LTE infrastructure. Building upon WEBee, researchers can further develop cross-technology services that reach beyond what individual technology can accomplish. Related techniques have been published in MobiCom (Best Paper Award), ICDCS (Best Paper Award), SenSys, MobiSys, and INFOCOM.
Speaker Biography:Dr. Tian He is currently a full professor in the Department of Computer Science and Engineering at the University of Minnesota-Twin Cities. Dr. He is the author and co-author of over 280 papers in premier network journals and conferences with over 22,000 citations (H-Index 65). Dr. He is the recipient of the NSF CAREER Award (2009), McKnight Land-Grant Chaired Professorship (2011), George W. Taylor Distinguished Research Award (2015), China NSF Outstanding Overseas Young Researcher I and II (2012 and 2016), and seven best paper awards in international conferences including MobiCom, SenSys, and ICDCS. Dr. He has served a few general/program chair positions in international conferences and on many program committees and also has been an editorial board member for six international journals including ACM Transactions on Sensor Networks, IEEE Transactions on Computers and IEEE/ACM Transactions on Networking. His research includes wireless networks, networked sensing systems, cyber-physical systems, real-time embedded systems and distributed systems, supported by National Science Foundation, IBM, Microsoft and other agencies. He is an ACM and IEEE Fellow.
Title:Networking Meets Machine Learning
Speaker:Prof. Yong Cui
Abstract:The complexity and inaccuracy of our Internet make the traditional algorithms based on simplified or inaccurate models inevitably fail to achieve optimal performance across a broad set of network conditions. Machine Learning technologies could be a potential way for this issue. This talk selects the-state-of-the-art ML-based research on networking area, including end-to-end upper layer transmission and the routing technologies. Moreover, the general guidelines will be discussed to apply ML in networking research. At the end, he will also present the First AITrans Competition he organized, which aims to provide a platform for the community to try machine learning for live streaming.
Yong Cui is a Tenured Full Professor in the CS Department at Tsinghua University, Director of Networking Research Institute. He received all degrees at Tsinghua University. He is the winner of the first "Chang Jiang Young Scholars Program" supported by Ministry of Education in China, the National Outstanding Young Scholar of NSFC and the New Century Talents Award of the Ministry of Education.
He served or serves at the editorial boards on IEEE TPDS, IEEE TCC, IEEE Network, IEEE Internet Computing, and also served as the vice TPC chair of the ACM TURC 2017. Now he serves as the Vice General Co-chair for ACM Sigcomm’19. He published over 40 papers at top venues, including Mobicom, NSDI, ToN, TMC and he received several Best Paper Awards. He co-authors 10 Internet standard documents (IETF RFC). He has won the National Science and Technology Progress Award (Second Class) in 2012, the State Technological Invention Award (Second Prize) in 2013 and the National Information Industry Invention Award in both 2004 and 2012. His research interests include mobile computing and data driven networking.