Prof. Xiulong Liu
Xiulong Liu is a full-time professor in College of Intelligence and Computing, Tianjin University, China. Before that, he received the B.E. and Ph.D. degrees from Dalian University of Technology (China) in 2010 and 2016, respectively. He also worked as a visiting researcher in Aizu University, Japan; a postdoctoral fellow in The Hong Kong Polytechnic University, Hong Kong; and a postdoctoral fellow in the School of Computing Science, Simon Fraser University, Canada. His research interests include wireless human activity recognition, indoor localization and IoT security&privacy, etc. His research papers were published in many prestigious journals and conferences including TON, TMC, TC, TPDS, IMWUT, TCOM, INFOCOM, and ICNP, etc. He received Best Paper Awards from ICA3PP 2014 and IEEE System Journal 2017. He is also the recipient of CCF Outstanding Doctoral Dissertation award 2017.
IoT meets AI: Human-cyber-physical Fused Smart-IoT Sensing Techniques
As an extension of the information system to the physical world, the Internet of Things (IoT) has greatly expanded the ability of human beings to recognize and control the objects in our physical world. With the widespread of AI, the smart-IoT organically integrates the spaces of "human-cyber-physical", becoming the key to the realization of the vision of intelligent industry, intelligent logistics, smart home. The technical challenges lie in seamless, open, robust, accurate, safe, and smart sensing, transmission and processing of big data from all things in the world and the physical environment. Here the speaker will share some hot research points in the IoT field, as well as his research works in smart sensing, human-computer interaction and other mobile computing. Finally, the speaker will discuss the new challenges and future research directions that the Internet of Everything (IoE) technology will face.