Prof. Haijun Zhang
University of Science and Technology Beijing, China (IEEE Fellow)
Research Area:6G Mobile Communication; Artificial Intelligence; Edge Calculation; B5G+ Industrial Internet
Research Experience：Haijun Zhang (F'23) is currently a Full Professor and Associate Dean in School of Computer and Communications Engineering at University of Science and Technology Beijing, China. He was a Postdoctoral Research Fellow in Department of Electrical and Computer Engineering, the University of British Columbia (UBC), Canada. He serves/served as Track Co-Chair of VTC Fall 2022 and WCNC 2020/2021, Symposium Chair of Globecom'19, TPC Co-Chair of INFOCOM 2018 Workshop on Integrating Edge Computing, Caching, and Offloading in Next Generation Networks, and General Co-Chair of GameNets'16. He serves/served as an Editor of IEEE Transactions on Communications, and IEEE Transactions on Network Science and Engineering. He received the IEEE CSIM Technical Committee Best Journal Paper Award in 2018, IEEE ComSoc Young Author Best Paper Award in 2017, IEEE ComSoc Asia-Pacific Best Young Researcher Award in 2019, IEEE ComSoc Distinguished Lecturer. He is a Fellow of IEEE.
Speech Title：AI based 6G Mobile Network Optimization
Abstract：This talk will identify and discuss technical challenges and recent results related to the AI based 6G mobile network optimization. The talk is mainly divided into four parts. The first part will introduce 6G mobile networks and AI, discuss about the 6G mobile networks architecture, and provide some main technical challenges in AI based 6G mobile networks. The second part will focus on the issue of AI based resource management in 6G networks and provide different recentresearch findings that help to develop engineering insights. The third part will address the machine learning and deep learning method based future 6G networks and address some key research problems. The last part will summarize by providing a future outlook of AI based 6G mobile networks.
Prof. Feng Yongjun
Xiamen University, China
Research Area: Higher Education, Education Big Data, Deep Learning under Artificial Intelligence, Educational Informationization
Research Experience：Feng Yongjun, born in 1980, professor and doctoral supervisor (postdoctoral cooperative tutor) of Shaanxi Normal University, founder of the "Lide • Shuren" educational school of thought, Phd of education of Xiamen University, and postdoctoral educator of Beijing Normal University. Founder of the China Higher Education Tracking Survey Project (CHESP), Executive Director of the National College Human Resources Management Professional Committee, Director of the Higher Education Professional Committee of the China Education Development Strategy Society, Director of the University Professional Committee of the Innovation Talent Education Research Association, Director of the Imperial Examination Culture Research Branch/Children's Mongolian Culture Research Branch of the Chinese Yan Huang Culture Research Association, and Rotating Chairman of the China University Quality Monitoring and Assurance Alliance (CUQA), expert of the National Social Science Fund project evaluation and appraisal, expert of the National Postgraduate Educational Assessment Monitoring Expert Pool of the Ministry of Education of PRC, researcher of Hebei Public Policy Assessment Research Center, a "A" level think-tank in the Top 100 University Think Tanks List of China Think Tank Index (CTTI), expert of the Think Tank Expert Alliance of Chengdu Chongqing Economic Circle, and chief expert of Beijing Tianjin Hebei Higher Education Development Research Center of China Education Think Tank Assessment System (CETTE). He used to be the executive director and core expert of the evaluation research team of China Alumni association Online University, the executive vice president of Airuisen Research Institute, the co-founder of China University/Discipline/Specialty/Talent Ranking, consulting experts such as QS, THEs, ARWU, the president of AIBONA China Academy of Evaluation Sciences, the director of AIBONA China Education Evaluation Liberal Arts Laboratory, the president of AIBONA Chinese Education Modernization Research Institute The director of AIBONA Education Metaverse Laboratory (Chang'an Laboratory) and the president of AIBONA Yellow River Education Research Institute (National Education Modernization Research Institute) were invited to give lectures in more than 100 "double first-class" universities or provide advice on development strategy planning, and were honored as "the youngest senior university evaluation expert in China". He have led 4 national projects, 3 provincial and ministerial level projects, and mainly researched 5 national level projects, invited to over 20 international academic conferences and delivered keynote speeches, published over 150 papers and more than 20 works, and 6 consulting reports have been approved by national and provincial leaders, receiving 6 provincial and ministerial awards.
Speech Title：Using Education Big Data to Select and Evaluate the New Round of "World first-class" Universities in the Context of Chinese-style Modernization
Abstract：In the report of the 20th National Congress of the Communist Party of China, the profound connotation, essential characteristics and fundamental requirements of Chinese-style modernization were elaborated in depth and systematically by Xi Jinping of General Secretary of the CPC Central Committee, he also proposes to "strengthen the construction of basic disciplines, emerging disciplines, and interdisciplinary disciplines, and accelerate the construction of world first-class universities and advantageous disciplines with Chinese characteristics". The modernization of Chinese style higher education is an integral part of Chinese path to modernization. The construction of "world first-class" universities is the CPC's strategy, state will, national hope and century project, the national team and pioneer camp to implement the "education talent science and technology trinity" strategy, the main force and nuclear power to promote the modernization of Chinese style higher education, and also the talent pool, science and technology pool and intelligence source to support Chinese path to modernization, The "world first-class" universities represented by Peking University, Tsinghua University, Zhejiang University, Fudan University, and Nanjing University are leaders in contributing talents, science and technology, and wisdom to the sustainable development of Chinese path to modernization. In the new era of Chinese style modernization, how to scientifically build a new classified evaluation framework for world-class universities with Chinese characteristics, a new evaluation standard system for China's "world first-class" universities, and conduct the third round of frontier research on the selection and evaluation big data, algorithms, results, policy recommendations of "world first-class" universities in AI era, which is a "bottleneck project" and "key common technology" urgently needed to be solved by various sectors of society centered around the higher education industry, and also a "new era question" that China urgently needs to answer in building a community with a shared future for human higher education.