IEEE ComSoc Harbin Chapter–2017 Summer Academic Month

By Weixiao Meng - Chair of Harbin ComSoc Chapter, China

The IEEE ComSoc Harbin Chapter held its Summer Academic Event Month in July and August, 2017, featuring the big data and modern wireless network communication seminar. Our chapter had made adequate preparations for this academic event in advance. Chapter chair, Professor Weixiao Meng, and vice chair, Associate Professor Shuai Han organized this activity.

According to different research fields, they invited well known experts and scholars at home and abroad, and encouraged relevant members and student members to communicate with experts actively.

With the financial support of the Harbin Institute of Technology (HIT), the following domestic and foreign well known scholars accepted the invitation from the IEEE ComSoc Harbin Chapter and came to HIT to conduct academic exchanges in the summer of 2017: Prof. Xuemin (Sherman) Shen (IEEE Fellow), Professor of the Royal Canadian Academy of Science, University of Waterloo, Canada; Prof. Nei Kato (IEEE Fellow), Tohoku University, Japan; Professor Guoliang (Larry) Xue (IEEE Fellow), Arizona State University, USA; Professor Xiaohu Ge (IET Fellow) , Huazhong University of Science and Technology; Prof. Zhang Yan of the University of Oslo, Norway; Dr. Yasaka Ota and Dr. Mianxiong Dong of Japan’s Muroran Institute of Technology; Prof. Lingyang Song, Peking University; Professor Qihui Wu of Nanjing University of Aeronautics and Astronautics; Professor Fengzhen Hu, Jilin University.

Professor Guoliang (Larry) Xue’s lecture included two topics: “Opportunities and Challenges in Crowdsourcing and Unobservable User Authentication on Smart Devices” and “Publish or Perish: Experiences in Preparation of Paper Submissions and Paper Revisions”. In the lecture, Prof. Xue discussed the crowdsourced computing theory and perception scheme and authentication mechanism based fingerprint.

Professor Xiaohu Ge’s lecture was “Joint Optimization of Computation and Communication Power in Multi-user Massive MIMO Systems”. He proposed a joint optimization method for computing and communication power. In order to optimize the energy efficiency of multi-user massive MIMO systems, the energy efficiency upper bound was deduced.

There were three topics for Dr. Taichi Ota lectures: “Eyes in the Dark: Distributed Scene Understanding for Disaster Management”, “Optimization in Software-Defined Vehicular Ad-Hoc Networks”, and “Optimization in Software-Defined Vehicular VANETs”. Dr. Taichi Ota explained the problems and solutions in the disaster environment using robots for rescue. At the same time, Dr. Taichi Ota discussed the optimization problems of the Software-Defined Vehicular Ad-Hoc Network and the Software-Defined Vehicular VANETs.

Dr. Mianxiong Dong’s lecture topic was “Human-Like Driving: Empirical Decision-Making System for Autonomous Vehicles”. Their team had proposed a human-like driving system that would enable autopilot to have the same decision abilities as humans. The greatest advantage of the system was that the proposed method could use the real situation of the road very well and coexist with a large number of human drivers. In addition, Dr. Dong’s research group also established a sensing system that requires only in-depth knowledge to avoid the use of unstable RGB data.

Prof. Xuemin (Sherman) Shen’s lecture was about “Connected Vehicles for Modern Transportation Systems”. Prof. Shen first introduced the connection of all car networking. Then, the challenges and scientific research directions of Vehicular Communications were given. Prof. Shen showed us how to use the car’s mobility characteristics to achieve a reasonable VANET throughput, and how to develop a charging strategy based on tram mobility to improve the utility of electricity.

Prof. Nei Kato’s lecture topic was “The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective”. Prof. Kato introduced the appropriate input and output characteristics of heterogeneous network transmission and proposed a deep neural network system with supervision. The signaling overhead, throughput, and latency were greatly improved.

Prof. Lingyang Song’s lecturing topic was “Game Theory for Big Data Processing.” Dr. Song combined optimization methods and game theory, and proposed the compromise and convergence of the design mechanism in the hierarchical structure. Analysis and simulation results showed that the proposed method could achieve layered optimization and converge at linear speed. More importantly, the convergence speed was independent of the size of the network, which indicated that the multiple-leader multiple-follower (MLMF) game based on the alternating direction method of multipliers (ADMM) could be used in very large-scale networks such as big data processing.

Prof. Qihui Wu’s lecture topic was “The New Progress of Cognitive Communication System”. In the lecture, Prof. Wu made a very exciting explanation about the introduction, evolution, application and future development of cognitive radio. The forward-looking report on the combination of the most advanced dynamic cognitive system and artificial intelligence had made a dynamic cognitive communication system a key technology for the effective use of spectrum resources.

The scholars also visited the HIT campus and HIT museum. They showed great interest in the history of the development of HIT. The academic achievements on aerospace research also won high praise from the guests.

The Summer Academic Event organized by the IEEE ComSoc Harbin Chapter attracted a large number of members and students. During the two months, the experts gave lectures on advanced theoretical knowledge in a serious and vivid manner. They discussed actively and answered various questions raised by members and students patiently. Through this activity, we strengthened the links among the IEEE ComSoc Harbin Chapter, HIT, and universities at home and abroad in relevant areas such as ultra-dense networking, 5G technologies, communications and computers, which broadened our horizons and improved our research capabilities to a large extent.