2024 4th International Conference on Advanced Algorithms and Neural Networks (AANN 2024)



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Prof. Yan Zhang

IEEE Fellow

Member, Academia Europaea

Member, Royal Norwegian Society of Sciences and Letters Academy

Member, Norwegian Academy of Technological Sciences

"Highly Cited Researcher"

University of Oslo, Norway


Yan Zhang (Fellow, IEEE) received a Ph.D. degree from the School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore, in 2005. He is currently a Full Professor at the Department of Informatics, University of Oslo, Oslo, Norway. His research interests include next-generation wireless networks leading to 6G, and green and secure cyber–physical systems, such as smart grids and transport. In 2018, he was the recipient of the global Highly Cited Researcher Award (Web of Science Top 1% most cited worldwide). He is also the Symposium/Track Chair of a number of conferences, including IEEE ICC 2021, IEEE SmartGridComm 2021, and IEEE GLOBECOM 2017. He is also the Chair of the IEEE Communications Society Technical Committee on Green Communications and Computing. He is also an Editor (the Area Editor, a Senior Editor, or an Associate Editor) for several IEEE Transactions/Magazines, including IEEE Network Magazine, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Vehicular Technology, IEEE Transactions on Industrial Informatics, IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, IEEE INTERNET OF THINGS JOURNAL, IEEE SYSTEMS JOURNAL, IEEE Vehicular Technology Magazine, and IEEE Blockchain Technical Briefs. He was also a Distinguished Lecturer of the IEEE Vehicular Technology Society from 2016 to 2020. He is also a Distinguished Lecturer of the IEEE Communications Society and a Distinguished Speaker of the IEEE Vehicular Technology Society. He is a Fellow of IET and an Elected Member of the Academia Europaea, Royal Norwegian Society of Sciences and Letters, and Norwegian Academy of Technological Sciences.

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Prof.  Qun Jin

Foreign fellow of the Engineering Academy of Japan (EAJ)

IEEE Senior Member

Waseda University, Japan


Qun Jin is a professor in the Department of Human Informatics and Cognitive Sciences, Faculty of Human Sciences, Waseda University, Japan. He has been extensively engaged in research works in the fields of computer science, information systems, and human informatics, with a focus on understanding and supporting humans through convergent research. His recent research interests cover intelligent and comprehensive data analytics, personal analytics and individual modeling, trustworthy platforms for data federation, sharing, and utilization, cyber-physical-social systems, and applications in healthcare and learning support and for the realization of a carbon-neutral society. He is a foreign fellow of the Engineering Academy of Japan (EAJ).


Prof. Zhaolong Ning

IEEE Senior Member

Chongqing University of Posts and Telecommunications, China


Dr. Ning received the MS and PhD degrees from Northeastern University, China. From 2013 to 2014, he was a research assist at the Kyushu University, Japan. From 2014 to 2020, he was an assistant and associate professor at the Dalian University of Technology, China. From 2019 to 2021, he was a Hong Kong Scholar at The University of Hong Kong. Currently, he is a full professor with the Chongqing University of Posts and Telecommunications, China. He has published more than 150 scientific papers in international journals and conferences, such as TMC, JSAC, Mobicom, and so on. Two journal papers win the best paper award of IEEE TVT and IEEE Systems Journals, and 6 conference papers win the best paper award. His research interests include Internet of things, vehicular edge computing, and artificial intelligence. He is a Highly Cited Researcher (Clarivate) and a Chinese Highly Cited Researcher (Elsevier) since 2020. He is the associate editor or lead guest editor of 8 journals. He is an IET Fellow, an EAI Fellow, and a Senior Member of IEEE.

Speech Title: User Association and Trajectory Optimization for IRS-Assisted UAV Communications

Abstract: Due to the flexibility, low cost, and easy deployment characteristics of UAVs, they are widely utilized in wireless communication networks and can provide temporary communication services in areas with weak or congested network coverage. However, due to the complexity of the communication environment, there might be obstructions between UAVs and users. Intelligent Reflecting Surfaces (IRS), as one of the significant new technologies in future 6G, play a role in constructing virtual Line-of-Sight (LoS) paths, bringing a new network paradigm to future communications aimed at creating an intelligently controllable wireless communication environment. To fully leverage IRS resources in IRS-assisted UAV communication networks, this talk explores the application of multiple IRS-assisted UAV communication networks in suburban and urban scenarios.


Assoc. Prof. Por Lip Yee

University of Malaya, Malaysia


Lip Yee received his Ph.D. from the University of Malaya, Malaysia under the supervision of Prof. Abdullah bin Gani in 2012. Currently, he is an Assoc. Professor at the Department of System and Computer Technology, Faculty of Computer Science and Information Technology, University of Malaya, Malaysia. He is also a senior member of IEEE. Lip Yee and his team were the first few pioneers who received IRPA, E-Science, FRGS, ERGS, PRGS, HIR and IIRG grants. He was the first person who managed to secure 2 E-Science funds with the role of PI in 2008. He was also the first person at the FCSIT who managed to secure the PRGS and ERGS grants. Besides collaborators from Malaysia, Lip Yee also has international collaborators from France, UK New Zealand, Turkey, Thailand and China. He also established his connections with his national and international collaborators with some industrial partners in Malaysia and other countries.