Invited Speakers

 

 

 

 

 

Prof. Weili Kou, Southwest Forestry University, China

WEILI KOU, hailing from Xi’an, Shaanxi, China, earned his Ph.D. from Kunming University of Science and Technology and conducted additional studies at the University of Oklahoma. Currently serving as Vice-Dean at the College of Big Data and Intelligent Engineering, Southwest Forestry University. He is selected for the prestigious Yunnan Xingdian Talent Youth Program, also holds roles as Deputy Director at the Key Laboratory of Biodiversity Big Data Mining and Application and as a member of the National Forestry and Grassland Information Standardization Technical Committee. He has led 3 projects funded by the National Natural Science Foundation of China and 4 projects funded by Yunnan Province, resulting in over 80 publications. His contributions have earned him 2 provincial and ministerial-level awards for scientific and technological progress. His research interests encompass remote sensing, forestry big data, geographical information systems, and intelligent computing, reflecting his commitment to advancing interdisciplinary studies in forestry sciences through intelligent technology.

 

 

 

 

Prof. Yu Yao, Northeastern University, China

Speech Title: “Ditecting” Cyberspace Situation in Industrial Control Networks

Yu Yao is a Professor and Ph.D. Tutor of the Northeastern University, Shenyang, China since 2011. He received the B.Sc., M.Sc. and Ph.D. degrees in computer science from the Northeastern University, Shenyang, China in 1998, 2001 and 2005, respectively. He is the director of Engineering Research Center of Security Technology of Complex Network System, Ministry of Education. He was also Deputy Director of Shenyang Big Data Administration Bureau from 2015 to 2018. His research interests are cyber security in Industrial Control Network, data analysis and modeling, nonlinear dynamic system analysis. He has undertaken more than 20 scientific research projects such as the National Key R&D Program and the National Natural Science Foundation of China, and published more than 50 academic papers. He is the founder of the “Ditecting” Cybersecurity Group of Northeastern University.

 

 

 

 

 

 

Assoc. Prof. Nikola Ivković, University of Zagreb, Croatia

Nikola Ivković (Senior Member, IEEE) was born in Zagreb, Croatia, in 1979. He received the M.S. degree in computing and the Ph.D. degree in computer science from the Faculty of Electrical Engineering and Computing, University of Zagreb. His Ph.D. thesis was in the area of swarm and evolutionary computation. He was the Head of the Department of Computing and Technology, Faculty of Organization and Informatics, University of Zagreb, where he is currently an Assistant Professor. He is a member of two research laboratories—Artificial Intelligence Laboratory and the Laboratory for Generative Programming and Machine Learning, Faculty of Organization and Informatics, University of Zagreb. He teaches computer networks, operating systems, and computational intelligence related courses. He gave several invited talks at international scientific conferences and the guest lectures on different universities in Europe and Asia. His research interests include computational intelligence and optimization, especially swarm intelligence, computer networks and security. He was a member of committees for creating new university study programs. He joined the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE), in 2008. He serves as a regular reviewer for high-quality scientific journals and takes part in a number of international conference committees.

 

 

Assoc. Prof. Salabat Khan, Qilu Institute of Technology, China & Shenzhen University, China

Dr. Salabat Khan received his Ph.D. in computer science and technology from the Beijing Institute of Technology, Beijing, China. He is working as an associate professor at Qilu Institute of Technology, Jinan, China, and visiting researcher with Internet of Things Lab, College of Computer Science and Software Engineering, Shenzhen University.. a. He has published over 35 research articles in various highly reputed journals, such as IEEE Communications Surveys and Tutorials, IEEE Transactions on Vehicular Technology, Vehicular Communication Journal, and IEEE Transactions on Mobile Computing. His research interests include security and privacy, VPKI, PKIX, cryptographic algorithms, blockchain, and distributed ledger technologies.

 

 

 

 

Assoc. Prof. Liwei Yang, China Agricultural University, China

Dr. Liwei Yang, associate professor of China Agricultural University. She received the B.E. degree in Telecommunication Engineering from Chongqing University of Posts and Telecommunications, China, and the Ph.D. degree in Information and Communications Engineering from Beijing University of Posts and Telecommunications, China. From 2009 to 2011, she was a Postdoctoral Research Fellow with the Department of Electronic Engineering, Tsinghua University, China. In 2015, she joined the faculty of the College of Information and Electrical Engineering, China Agricultural University. Her research interests include optical networks, optical wireless communications and visible light communication. She participated in a number of national projects and published more than 100 papers. She served as a TPC member of several international academic conferences and a reviewer for several international journals.

 

 

 

 

 

 

 

 

 

 

 

Assoc. Prof. Zhenxing Wang, Shanghai Polytechnic University, China

Wang Zhenxing, born in 1970, is an Associate Professor and a Master's Supervisor at Shanghai Second Polytechnic University. He is a Senior Member of IEEE (https://www.ieee.org/) and CCF(ccf.org.cn),a member of the Collaborative Committee of the China Computer Federation, a government procurement evaluation expert of the Shanghai Finance Bureau, a member of the expert database of the Shanghai Science and Technology Commission, an expert of the Shanghai Economic and Information Committee, a domestic bidding and evaluation expert of mechanical and electrical equipment in Shanghai, a technology development fund evaluation expert of the Pudong Science and Technology Commission, and a member of the expert committee of the Shanghai Internet of Things and Ubiquitous Computing. He is also a specially invited reviewer for the journal Computer Application Research. Wang Zhenxing received his PhD degree in Computer Software and Theory from Fudan University in June 2003. He was a lecturer at East China Normal University in 2004 and conducted postdoctoral research at the Department of Precision Instruments, Tsinghua University from December 2004 to October 2006. In November 2007, he joined the School of Computer and Information Engineering at Shanghai Polytechnic University as a teacher and researcher. He was a visiting scholar at the University of Nebraska in the United States from August 2014 to August 2015, sponsored by the Shanghai Municipal Education Commission. Since 2016, he has also served as the Technical Director of Shanghai Qunxin Electronics Co., Ltd. He obtained short-term training certificates from Harvard and Massachusetts Institute of Technology in the United States from 2019 to 2021. Since 1993, Wang Zhenxing has been engaged in embedded hardware and software design and industrial controller design. He has rich project development experience and currently holds more than 30 patents, including 2 invention patents and 7 software copyrights. One design patent and related technical achievements have been exhibited at the China International Industry Fair several times. Currently, two invention patents have been successfully transferred. Since 2016, he has been developing new products for many domestic and foreign enterprises

 

 

Assoc. Prof. Guobing Li, Xi’an Jiaotong University, China

Speech Title: Random Access in IoT Networks: A Graph Signal Processing Perspective

Guobing Li is currently an Associate Professor with the School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an, China. He received the B.S. and M.S. degree both in Electrical Engineering from Xidian University, Xi’an, China, in 2001 and 2004, respectively, and the Ph.D. degree in Electrical Engineering from Xi’an Jiaotong University in 2011. During 2008-2010 he was a visiting student at the Department of Electrical and Computer Engineering, University of Minnesota, Twin Cities, hosted by Prof. Georgios B. Giannakis. His research interests include signal processing in wireless communication systems, sparse representation, and graph signal processing.

 

 

 

 

Assoc. Prof. Bo Li, Ningxia University, China

Dr. Li is an associate professor in the School of Electronics and Electrical Engineering, Ningxia University, China. He received his Ph.D. degree in Information and Communication Engineering from Beijing University of Posts and Telecommunications (BUPT) in 2012. And he did Postdocal research from 2015 to 2017 at EEC, the University of Florida, USA. His main research interests include B5G/6G, Space-Air-Ground Integrated Network Architecture, Network Function Virtualization and Software Definition, Green Communication and Energy Efficiency, Integration of Communication and Energy networks, and Resource management for future communication. In recent years, he has published more than 30 papers in journals and conferences. He serves in several reviewer boards for several international conferences and journals. Dr. Li has served as the Chair of IEEE ICCT and ICCC.

 

 

 

 

 

 

 

Assoc. Prof. Chao Fang, Beijing University of Technology, China

Chao Fang received his B.S degree in Information Engineering from Wuhan University of Technology, Wuhan, China, in 2009, and the Ph.D. degree with the State Key Laboratory of Networking and Switching Technology in Information and Communication Engineering from Beijing University of Posts and Te4lecommunications, Beijing, China, in 2015. He joined the Beijing University of Technology in 2016 and now is an associate professor. From August 2013 to August 2014, he had been funded by China Scholarship Council to visit Carleton University, Ottawa, ON, Canada, as a joint doctorate. Moreover, he is the visiting scholar of University of Technology Sydney, Commonwealth Scientific and Industrial Research Organization, Hong Kong Polytechnic University, Kyoto University, Muroran Institute of Technology, and Queen Mary University of London.
Dr. Fang is the senior member of IEEE, and the vice chair of technical affairs committee in IEEE ComSoc Asia/Pacific Region (2022-2023). Moreover, he is the leading editors of Sensors, Electronics and Symmetry special issues. He also served as the Technical Program Committee Chair of SPCNC 2024, the Session Chairs of ICC 2015, ICCC 2023, and WCNC 2024, Workshop Chairs of ICFEICT (2022-2024) and ICNCIC (2023-2024), and Poster Co-Chair of HotICN 2018. He won the Best Paper Award of IEEE ICFEICT 2022 and 2024. His current research interests include future networks, intelligent cloud-edge-terminal cooperation computing, and intelligent network control.

 

 

 

 

 

 

Prof. Xiwen Zhang, Beijing Language and Culture University, China

XiWen Zhang is currently a full professor of Digital Media Department, School of Information Science, Beijing Language and Culture University.
Prof. Zhang worked as an associated professor from 2002 to 2007 at the Human-computer interaction Laboratory, Institute of Software, Chinese Academy of Sciences. From 2005 to 2006 he was a Post doctor advised by Prof. Michael R. Lyu in the Department of Computer Science and Engineering, the Chinese University of Hong Kong. From 2000 to 2002 he was a Post doctor advised by Prof. ShiJie Cai in the Computer Science and Technology department, Nanjing University.
Prof. Zhang's research interests include pattern recognition, computer vision, and human-computer interaction, as well as their applications in digital image, video, and ink. Prof. Zhang has published over 60 refereed journal and conference papers. His SCI papers are published in Pattern Recognition, IEEE Transactions on Systems Man and Cybernetics B, Computer-Aided Design. He has published more than twenty EI papers.
Prof. Zhang received his B.E. in Chemical equipment and machinery from Fushun Petroleum Institute (became Liaoning Shihua University since 2002) in 1995, and his Ph.D. advised by Prof. ZongYing Ou in Mechanical manufacturing and automation from Dalian University of Technology in 2000.

 

 

Assoc. Prof. Yingtao Niu, The Sixty-Third Research Institute of National University of Defense Technology, China

Yingtao Niu received the Ph.D. degree from the Institute of Communication Engineering, PLA University of Science and Technology, China, in 2008. He is currently an Associate Research Fellow with the Sixty-Third Research Institute, National University of Defense Technology (NUDT), Nanjing, China. His main research interests include spread-spectrum communication, cognitive radio theory and techniques, with particular emphasis on algorithms of wireless communication signal processing and intelligent algorithm in cognitive radio systems.

 

 

 

 

Assoc. Prof. Xin Nie, Wuhan Institute of Technology, China

Speech Title: Coordinated Task-planning for Multi-autonomous Satellites

Dr. Xin Nie, born in 1983, is an Associate Professor and Master's advisor at the School of Computer Science and Engineering, Wuhan Institute of Technology. Holding a Ph.D. in Computer Software and Theories from Wuhan University, he has made significant contributions to the fields of intelligent optimization algorithms, big data, and smart industrial production lines. Dr. Nie has published over 10 SCI/EI indexed papers, secured 4 national invention patents, and registered 2 software copyrights in past 5 years. He actively engages in teaching courses such as "Software Project Management" and "Programming Fundamentals" for international students. As a competition organizer and mentor, he has led teams to numerous awards in the "China Software Cup" and has participated as a judge in robotics and AI competitions.

 

 

 

 

 

 

Assoc. Prof. Jing Yang, Guizhou University, China

Jing Yang received the PhD degree in mechanical and electronic engineering from Guizhou University,in 2020. From August 2018 to September 2019, he was awarded a scholarship by the China Scholarship Council (CSC) under the State Scholarship Fund to pursue his study with Oklahoma State University, as a Joint Ph.D. Student with the Institute for Mechatronic Engineering, where he joined the Guoliang Fan’s Group, as a Professor. From October 2022 to October 2023, he was a visiting scholar studying in the team of Professor Wu Fan(NSFC Distinguished Young Scholars) from Shanghai Jiao Tong University. He is currently an assistant professor with the State Key Laboratory of Public Big Data, Guizhou University, China. His research interests include Open domain visual learning, intelligent robot, and Edge Computing. He has published more than 50 peer-reviewed papers in the related area, including well-archived international journals such as the International Journal of Intelligent Systems, the Micromachines, the Journal of Sensors, the International Journal of Advanced Robotic Systems. he has served on the editorial board of the IEEE Transaction on Semiconductor Manufacturing, the Journal of Computational Design and Engineering and peer reviewers for several international conferences and journals.

 

 

 

 

 

 

Assoc. Prof. Danyang Zheng, Southwest Jiaotong University, China

Speech Title: Zero Trust-aware Prompt Chain Deployment for AIGC Services

Danyang Zheng, Ph.D., Associate Professor (since January 2023), Chief Technology Advisor at Sichuan Prologue Technology Co., Ltd., Youth Editorial Board Member of the journal Big Data Mining and Analysis (BDMA, IF: 13.6, 2023 latest Chinese Academy of Sciences ranking: Tier 1), IEEE member, CCF member. His research focuses on in-network computing, network reliability and security, and digital twins. He has published over 40 SCI/EI papers, including in top-tier journals and conferences such as IEEE INFOCOM, IEEE TDSC, IEEE TNSM, IEEE TCoM, IEEE IoTJ, Computer Networks, and BDMA, with over 20 as the first author or corresponding author. He is currently leading/working on multiple National Natural Science Foundation Youth Project, Sichuan Provincial Natural Science Foundation Youth Project, and horizontal research projects. He is serving as the Conference Publicity Chair of ICCC 2024 and has served as the Track Chair of WCCCT 2024, and program committee member for ICCC 2021-2024, IEEE ICTC 2023-2024, IEEE VTC 2023, and IEEE ICCT 2023.

 

 

 

 

 

 

Assoc. Prof. Kefeng Guo, Space Engineering University/ Nanjing University of Aeronautics and Astronautics, China

Kefeng Guo received his B.S. degree from Beijing Institute of Technology, Beijing, China in 2012, and the Ph.D. degree in Army Engineering University, Nanjing, China in 2018. He is a Lecturer in School of Space Information, Space Engineering University. He is also the associate professor in the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics. He has authored or coauthored more than 100 research papers in international journals and conferences. His research interests focus on cooperative relay networks, MIMO communications systems, multiuser communication systems, satellite communication, hardware impairments, cognitive radio, NOMA technology and physical layer security. He was a recipient of exemplary Reviewer for IEEE Transactions on Communications in 2022. He was the recipient of the Outstanding Ph.D. Thesis Award of Chinese Institute of Command and Control in 2020. He also was the recipient of the Excellent Ph.D. Thesis Award of Jiangsu Province, China in 2020. He also serves as an Editor on the Editorial Board for the EURASIP Journal on Wireless Communications and Networking and IEEE Open Journal of the Communications Society. Dr. Guo has been the TPC member of many IEEE sponsored conferences, such as IEEE ICC, IEEE GLOBECOM and IEEE WCNC.

 

 

 

Dr. Jiong Dong, Xuchang University, China

Jiong Dong received a B. Eng degree in Computer Science from Dalian Maritime University (DMU), China, in 2015, an M. Eng degree in Computer Science from Ecole d’ingénieurs Polytechnique de l’université de Tours, France, in 2017, a Ph.D. degree in Advanced Information and Electronic Engineering from Muroran Institute of Technology, Japan, in 2023. He is currently a Lecturer at Xuchang University, China. He got Best Paper Award of IEEE Multimedia in 2022, Best Paper Award of IEEE Sapporo Section in 2022, Best Paper Award of the 16th International Conference on Mobility, Sensing and Networking in 2020, and he was a recipient of Exemplary Reviewer of IEEE Wireless Communications Letters in 2020. His main fields of research interest include Human–Computer Interaction, Virtual Reality, and Social Virtual Reality.

 

 

 

 

Dr. Qinqin Tang, Beijing University of Posts and Telecommunications, China

Speech Title: Integrated Computing and Networking for LEO Satellite Mega-Constellations

Qinqin Tang received her Ph.D. in Information and Communication Engineering from Beijing University of Posts and Telecommunications (BUPT), Beijing, China, in 2022. From March 2021 to February 2022, she was a visiting Ph.D. student in the Department of Computer Science at the University of Ottawa, Canada. She is currently a Postdoctoral Research Fellow at BUPT. Her research interests include the Internet of Intelligence, edge/cloud computing, traffic offloading, and resource management. To date, she has published over 50 SCI/EI papers and has authorized or applied for more than 30 national invention patents. Additionally, she has served as the Technical Program Committee (TPC) Chair or Member for numerous conferences and as a reviewer for several prestigious journals, including IEEE Network, IEEE Transactions on Communications, and IEEE Transactions on Wireless Communications.

 

 

Dr. Nanxi Li, China Telecom Research Institute, China

Nanxi Li received his Ph.D. degree in information and telecommunication engineering from Beijing University of Posts and Telecommunications in 2018. He has been with China Telecom Research Institute since then, working on 5G standardization in 3GPP RAN1 and 6G promising techniques. He has invented or co-invented about 120 filed/granted Chinese patents, 20 papers and co-authored 1 book. He is now a senior engineer, and his main research areas include 5G physical layer technologies, 3GPP RAN1 standardization and reconfigurable intelligent surfaces. And he is the rapporteur for the 3GPP Rel-18 further NR coverage enhancements work item

 

 

 

Asst. Prof. Kan Yu, Beijing University of Posts and Telecommunications, China

Speech Title: A systematic architecture for communication-perception-computing-security in IoV

于刊,男,博士,“澳门青年学者”(北京邮电大学首位,全国30位),北京邮电大学泛网部重实验室成员。主要研究方向包括:面向大规模无线接入网的拓扑构建,分布式算法设计,资源分配与优化,以及面向超可靠低时延通信的无线物理层安全机理。目前主持国家自然科学基金1项、山东省自然科学基金1项,参与国家重点研发计划、国防科技创新项目、国家自然科学基金、山东省重大基础研究和重点研发计划等8项,在计算机顶级期刊发表高水平论文30余篇,包括CCF A类期刊IEEE/ACM Transactions on Networking、CCF B类期刊IEEE Transactions on Wireless Communications、IEEE Transactions on Communications、Computer Networks、JCR 1区TOP期刊IEEE Transactions on Cognitive Communications and Networking、IEEE Transactions on Vehicular Technology等。

 

 

 

 

Dr. Isma Hamid, National Textile University, Pakistan

Forecasting of Complex Industrial Time Series Problems: A Novel Approach by using Reinforcement learning

Dr. Isma Hamid acquired Ph.D. degree in the field of Computer Science, in December 2017, from Chongqing University of Posts and Telecommunications (CQUPT), China Specialized in Behavior Analysis and Visualization Technology of Social Networks, Image Processing, Pattern Recognition and Big Data Analysis. I have fifteen years of teaching, research, and application development experience in reputed public sector universities of Pakistan. I published twenty-seven research papers in different EI and SCI journals and Conferences. I also have performed duties as external examiner to evaluate thesis of M.Sc. (Computer Science), M.S (Computer Science) and PhD (CS). During my university service, I supervised more than thirty projects of B.S, M.S and PhD students.

 

 

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