This event is endorsed
and organized by

3rd EAI International Conference on Machine Learning and Intelligent Communications

July 6–8, 2018 | Hangzhou, People's Republic of China

Xuemin (Sherman) Shen


Department of Electrical and Computer Engineering

University of Waterloo, Canada

Automated Driving and Connected Vehicles

Modern society depends on faster, safer, and environment friendly transportation system. Vehicular communications network in terms of vehicle to vehicle, vehicle to infrastructure, vehicle to pedestrian, vehicle to cloud, and vehicle to sensor, can provide a solution to such transportation system. In this talk, we first introduce the all connected vehicles. We then present the applications, challenges and scientific research issues of vehicular communications network. We also explain the role of vehicular networking in the automated driving era. We conclude the talk by discuss the future Space-Air-Ground (SAG) Integrated vehicular networks.


Xuemin (Sherman) Shen is a University Professor, and Associate Chair for Graduate Study, Department of Electrical and Computer Engineering, University of Waterloo, Canada. Dr. Shen's research focuses on wireless resource management, wireless network security, smart grid and vehicular ad hoc and sensor networks. He is the Editor-in-Chief of IEEE IoT J. He serves as the General Chair for Mobihoc'15, the Technical Program Committee Chair for IEEE GC'16, IEEE Infocom'14, IEEE VTC'10, the Symposia Chair for IEEE ICC'10, the Technical Program Committee Chair for IEEE Globecom'07, the Chair for IEEE Communications Society Technical Committee on Wireless Communications. Dr. Shen is an elected IEEE ComSoc Vice President - Publications, the chair of IEEE ComSoc Distinguish Lecturer selection committee, and a member of IEEE ComSoc Fellow evaluation committee. Dr. Shen received the Excellent Graduate Supervision Award in 2006, and the Premier's Research Excellence Award (PREA) in 2003 from the Province of Ontario, Canada. Dr. Shen is a registered Professional Engineer of Ontario, Canada, an IEEE Fellow, an Engineering Institute of Canada Fellow, a Canadian Academy of Engineering Fellow, a Royal Society of Canada Fellow, and a Distinguished Lecturer of IEEE Vehicular Technology Society and Communications Society.

Nei Kato


Tohoku University, Japan

On Removing Routing Protocol from Future Wireless Networks: A Real-time Deep Learning Approach for Intelligent Traffic Control

Recently, deep learning, an emerging machine learning technique, is garnering a lot of research attention in several computer science areas. However, to the best of our knowledge, its application to improve heterogeneous network traffic control which is an important and challenging area for IoT by its own merit has yet to appear because of the difficult challenge in characterizing the appropriate input and output patterns for a deep learning system to correctly reflect the highly dynamic nature of large-scale heterogeneous networks. In this talk, an appropriate input and output characterizations of heterogeneous network traffic will be introduced and a supervised deep neural network system will be proposed. I will describe how our proposed system works and how it differs from traditional neural networks. Also, preliminary results will be discussed and I will demonstrate the encouraging performance of our proposed deep learning system compared to a benchmark routing strategy (Open Shortest Path First (OSPF)) in terms of significantly better signaling overhead, throughput, and delay. In addition, can a new intelligent traffic control system be designed without any benchmark training data, and can learn by itself to replace existing non-intelligent routing protocols? I will also address this issueby some of our preliminary results and look toward the future.


Nei Kato is a full professor and the Director of Research Organization of Electrical Communication (ROEC), Tohoku University, Japan. He has been engaged in research on computer networking, wireless mobile communications, satellite communications, ad hoc & sensor & mesh networks, smart grid, IoT, Big Data, and pattern recognition. He has published more than 400 papers in prestigious peer-reviewed journals and conferences. He is the Vice-President (Member & Global Activities) of IEEE Communications Society (2018-2019), the Editor-in-Chief of IEEE Transactions on Vehicular Technology (2017-), the Editor-in-Chief of IEEE Network Magazine (2015-2017), and the Chair of IEEE Communications Society Sendai Chapter. He served as a Member-at-Large on the Board of Governors, IEEE Communications Society (2014-2016), a Vice Chair of Fellow Committee of IEEE Computer Society(2016), and IEEE Communications Society Award Committee (2015-2017). He has also served as the Chair of Satellite and Space Communications Technical Committee (2010-2012) and Ad Hoc & Sensor Networks Technical Committee (2014-2015) of IEEE Communications Society. His awards include Minoru Ishida Foundation Research Encouragement Prize (2003), Distinguished Contributions to Satellite Communications Award from the IEEE Communications Society, Satellite and Space Communications Technical Committee (2005), the FUNAI information Science Award (2007), the TELCOM System Technology Award from Foundation for Electrical Communications Diffusion (2008), the IEICE Network System Research Award (2009), the IEICE Satellite Communications Research Award (2011), the KDDI Foundation Excellent Research Award (2012), IEICE Communications Society Distinguished Service Award (2012), IEICE Communications Society Best Paper Award (2012), Distinguished Contributions to Disaster-resilient Networks R&D Award from Ministry of Internal Affairs and Communications, Japan (2014), Outstanding Service and Leadership Recognition Award 2016 from IEEE Communications Society Ad Hoc & Sensor Networks Technical Committee, Radio Achievements Award from Ministry of Internal Affairs and Communications, Japan (2016), IEEE Communications Society Asia-Pacific Outstanding Paper Award (2017) and Best Paper Awards from IEEE ICC/GLOBECOM/WCNC/VTC. Nei Kato is a Distinguished Lecturer of IEEE Communications Society and Vehicular Technology Society. He is a fellow of IEEE and IEICE.

Qinyu Zhang


School of Electronic and Information Engineering

Harbin Institute of Technology (Shenzhen), Guangdong, China

Network Protocols for Future Deep Space Exploration


Qinyu Zhang (SM’13) received the Bachelor's degree in communication engineering from Harbin Institute of Technology (HIT) in 1994, and the Ph.D. degree in Electrical and Electronics Engineering from the University of Tokushima, Tokushima, Japan, in 2003. From 1999 to 2003, he was an Assistant Professor at the University of Tokushima. From 2003 to 2005, he was an Associate Professor in the Shenzhen Graduate School, HIT, and was the Founding Director of the Communication Engineering Research Center with the School of Electronic and Information Engineering. Since 2005, he has been a Full Professor, and serves as the Dean in the School of Electrical and Information Engineering. He is on the Editorial Board of some academic journals, such as the Journal on Communications, KSII Transactions on Internet and Information Systems, and Science China: Information Sciences. He was the TPC Co-Chair of the IEEE/CIC ICCC’15, the Symposium Co-Chair of the IEEE VTC’16 Spring, an Associate Chair for Finance of ICMMT’12, and the Symposium Co-Chair of CHINACOM’11. He has been a TPC Member for INFOCOM, ICC, GLOBECOM, WCNC, and other flagship conferences in communications. He was the Founding Chair of the IEEE Communications Society Shenzhen Chapter. His research interests include aerospace communications and networks, wireless communications and networks, cognitive radios, signal processing, and biomedical engineering. Dr. Zhang has received the National Science Fund for Distinguished Young Scholars, the Young and Middle-Aged Leading Scientist of China, and the Chinese New Century Excellent Talents in University, and obtained three scientific and technological awards from governments.

Li Ping Qian


Department of Information Engineering

Zhejiang University of Technology, Hanghzou, China

Non-Orthogonal Multiple Access in Small-cell Networks


Liping Qian (senior member of IEEE) received the PhD degree in Information Engineering from the Chinese University of Hong Kong, Hong Kong, in 2010. Since Aug. 2011, she has been with the Department of Information Engineering, Zhejiang University of Technology, where she is currently a Professor. From 2010 to 2011, she was a Post-Doctoral Research Assistant with the Department of Information Engineering, The Chinese University of Hong Kong. She was a Visiting Student with Princeton University in 2009. From 2016 to 2017, she was a visiting scholar with Broadband Communications Research (BBCR) group at the University of Waterloo. Her research interests include wireless communication and networking, resource management in wireless networks, massive IoTs, mobile edge computing, emerging multiple access techniques, and machine learning oriented towards wireless communications. She was a co-recipient of the IEEE Marconi Prize Paper Award in wireless communications in 2011, the Second-class Outstanding Research Award for Zhejiang Provincial Universities, China, in 2012, the Second-class Award of Science and Technology given by Zhejiang Provincial Government in 2015, and the Best Paper Award from ICC2016. She received Zhejiang Provincial Natural Science Foundation for Distinguished Young Scholars in 2015. She is currently an Associate Editor for the IET Communications, and a Guest Editor of Mobile Networks and Applications