ICECE2024

2023 IEEE Sixth International Conference on Electronics and Communication Engineering

Xi'an ►December 15th-17th, 2023

► ICECE2023 Proceedings

►ICECE2023 Proceedings:

► Speakers

  Prof. Licheng Jiao

  IEEE/IET/CAAI/CAA /CCF/CIE Fellow, HuaShan Outstanding Professor

  Xidian University, China

Bio sketch: Licheng Jiao has been a full professor in Xidian University since 1992. He is the member of the Academia Europaea. He is the HuaShan Outstanding Professor of Xidian University, the director of the Faculty of Computer Science and Technology of Xidian University, International Research Center for Intelligent Perception and Computation, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Joint International Research Laboratory of Intelligent Perception and Computation, and National Base of Intelligent Information Processing. His professional activities include IEEE/IET/CAAI/CAA /CCF/CIE Fellow, the member of the International Division of Scientific and Technological Committee of the Ministry of Education in China, the vice board chairperson of Chinese Association of Artificial Intelligence. He is the chairman of IET Xi’an Network, the Xi’an Chapter of IEEE Computational Intelligence Society, the Award Commission of IEEE Xi’an Chapter, and the Xi’an Chapter of IEEE Geoscience and Remote Sensing Society. He is the Associate Editor of “IEEE Transactions on Geoscience and Remote Sensing” and “IEEE Transactions on Cybernetics”, the Presiding Panelist for the Innovative Team in the Ministry of Education, the member of the Subject Consultative Group of the State Council and the expert of the Undergraduate Teaching Level Evaluation of the Ministry of Education, evaluation expert of the National Natural Science Foundation Information Division, member of the Assessment Panel of National Postdoctoral Management Committees.

He has been receiving special government allowance from the State Council since 1991. In 1996, he was included among the first batch of in the New Century Talents Project (the first and second classes) and the “Three Fives” Talent Project of Shaanxi Province. He was selected as the National Model Teacher by the Ministry of Human Resources and Social Security of China, the Outstanding Contribution Expert of Shaanxi Province, the Teacher Pacemaker of Ethics in Shaanxi Province, and the deputy of the 8th National People’s Congress.

The research direction of Prof. Jiao includes intelligent perception and image understanding, image understanding and object recognition, deep learning and brain-inspired computation. More than 10 of his students have won the National Excellent Doctoral Dissertation Award and nomination, or the Shaanxi Province Excellent Doctoral Dissertation Award. His research results have won the Youth Science and Technology Award, the Second Prize of National Natural Science Award and several provincial-level first Prizes. More than 20 Academic monographs have been published, which have won the National Scientific Book Award 6 times and the first “Three One-hundreds” Excellent Book Award. Evaluated by the Google Scholar, the H-index of his publication is 100.

Prof. Bo Ai

IEEE Fellow, IET Fellow,
IEEE VTS Beijing Chapter Vice Chair IEEE BTS Xi'an Chapter Chair

Beijing Jiaotong University, China



Bio sketch: Prof. Bo Ai is now working as a full Professor and Ph.D. supervisor at Beijing Jiaotong University, where he is a deputy director of State Key Lab. of Rail Traffic Control and Safety, and a deputy director of Research Institute of Modern Telecommunications. He is one of the main responsible people for Beijing "Urban rail operation control system" International Science and Technology Cooperation Base, and the backbone member of the Innovative Engineering Based jointly granted by Chinese Ministry of Education and the State Administration of Foreign Experts Affairs. He was a visiting professor at EE department, Standard University during March and September, 2015. During his visiting period, he has been invited by Stanford International Developing Center, UC Berkeley, University of South California, Harvard, University of Maryland, Georgia Tech. for academic presentations. He has authored 6 books and published over 300 scientific research papers in his research area. He has hold 26 invention patents. He is serving as an associate editor for IEEE transactions on Consumer Electronics and an editorial member of Wireless Personal Communications. He has been notified by Council of Canadian Academies (CCA) that, based on Scopus database, Prof. Ai Bo has been listed as one of the Top 1% authors in his field all over the world. Prof. Ai Bo has also been Feature Interviewed by IET electronics Letters. Recently, he has coauthored a book with European Union and North American scholars invited by Wiley John & Sons for a 5G book: Fundamentals for 5G Mobile Networks. Prof. Bo Ai was elected as IEEE fellow for contributions to channel modeling and wireless communications in high-speed railways.

Prof. Yuhui Shi

IEEE Fellow
Chair Professor, Computer Science and Engineering

Southern University of Science and Technology, China



Bio sketch: Dr. Yuhui Shi is a Chair Professor in the Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China. Before joining SUSTech, he was with the Department of Electrical and Electronic Engineering at the Xi’an Jiaotong-Liverpool University (XJTLU), Suzhou, China, from January 2008 to August 2017, and was with the Electronic Data Systems Corporation (EDS), Indiana, USA, from October 1998 to December 2007. He is an IEEE Fellow, and the Editor-in-Chief of the International Journal of Swarm Intelligence Research. Dr. Shi co-authored a book on Swarm Intelligence together with Dr. James Kennedy and Dr. Russell C. Eberhart, and another book on Computational Intelligence: Concept to Implementation together with Dr. Russell C. Eberhart.

Title: Automatic Design of Metaheuristic Algorithms for Solving Real World Application Problems
Abstract: This talk will introduce the automatic design of metaheuristic algorithms for solving real world application problems. First, a real world application problem, i.e., power system restoration problem, will be used as an example for illustration. The power system restoration problem will be represented as an optimization problem, which usually is difficult to solve mathematically. Second, the reasons for the necessity of utilizing metaheuristic algorithms to solve these optimization problems and the difficulty of selecting a suitable existing metaheuristic algorithm and tuning of its corresponding parameters will be discussed, which leads to the necessity of automatic design of the metaheuristic algorithm for solving the power system restoration problem. Third, the automatic design method will be introduced in detail, followed by experimental results on some benchmark problems to demonstrate the effectiveness and efficiency of the proposed design method.