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Keynote Speaker 大会邀请报告
Prof. Wei Wang
of School of Information Engineering,
Chang'an University, China
Wei Wang received
the bachelor's degree in communications engineering from Wuhan
University, Wuhan, China, in 2003, the master's degree from the
University of Kiel, Kiel, Germany, in 2006, and the Dr.-Ing. degree
with summa cum laude from the University of Erlangen–Nuremberg,
Erlangen, Germany, in 2014. From 2007 to 2018, he was with the
Institute of Communications and Navigation, German Aerospace Center
(DLR), as a Scientific Staff.
He is currently a Professor with the School of Information Engineering, Chang'an University. He was a Short-Term Scientific Visitor with the Department of Electronic Systems, Aalborg University in spring 2012. His current research interests include time-variant superresolution parameter estimation and tracking, channel modeling for localization and navigation, new radio-based positioning and navigation, joint communication and navigation. He was the coordinator of projects founded by Rohde \& Schwarz, China NSFC, etc, and participated in several projects sponsored by DLR, EU-FP6/7, GSA, ESA , covering researches in channel measurement, parameterization and modeling for indoor, train, airplane, airport, satellite and maritime propagation channel, and positioning techniques in indoors. He has authored or coauthored more than 100 publications in international journals and conferences, and holds three German patents and five China patents. He is a member of IEEE, EurAAP and ITG. He received the Best Presentation/Paper Award in ION GNSS in 2012, Best paper Award in EUCAP in 2018, Best Paper Award in COTA 2018. Moreover, he is a co-recipient of the Premium Award Winner in 2020 awarded by IET Microwave Antennas & Propagation.
王威，湖北人，博士、教授、博士生导师，现任长安大学信息工程学院副院长。2017年入选国家海外高层次引进人才青年项目和陕西省高层次引进人才青年项目，陕西省科技创新团队负责人。2007年起在德国宇航中心工作近11年，担任科学研究员。回国后任长安大学教授、博士生导师。近年来在IEEE等国际期刊上发表论文40篇，在IEEE GLOBECOM、WCNC等国际会议发表论文近70篇，获德国发明专利3项，中国发明专利3项。获得了美国导航协会ION GNSS 2012最佳论文和讲演奖，欧洲天线与传播会议EUCAP 2015 Finalist（2%），EUCAP 2018最佳论文（0.5%）,IET Microwave Antennas & Propagation期刊2020年最佳论文Premium Award Winner。担任SCI期刊IET Microwaves Antennas & Propagation的Associate Editor,IEEE Access客座编辑，IEEE PIMRC、VTC、ICC Workshop等会议的技术委员会成员，亚太微波会议“海洋通信”研讨会主席，担任业内20多个国际期刊的审稿人等。IEEE、VDE、EurAAP会员，中国计算机学会会员。主要研究方向：电波传播数学建模，车联网连通性建模，高分辨率时变参数追踪，车联网定位导航技术，联合通信与导航技术，深度学习在定位技术中的应用.
Prof. Weihua Xu
Southwest University, China
Weihua Xu is a professor, doctoral supervisor and postdoctoral collaborator at Southwest University, and a visiting scholar at the Chinese University of Hong Kong and the University of Science and Technology of Macau. Prof. Xu is a Key Middle-aged and Young Teacher in Chongqing, and a recipient of the Top 10 Science and Technology Youth Nomination Award in Chongqing. And, he is a senior member of the International Rough Set Society, and a senior member of the Chinese Artificial Intelligence Society. Moreover, Prof. Xu is a secretary-general of the Granular Computing and Knowledge Discovery Special Committee of the CAAI, and a standing member of Knowledge Engineering and Distributed Intelligence Special Committee of the CAAI. And He is an associate editor of International Journal of Machine Learning and Cybernetics, Journal of Intelligent and Fuzzy Systems etc. He has published more than 180 papers in important academic journals, such as IEEE TCYB, IEEE TFS, IEEE TNNLS, IEEE TETCI, IEEE TBD, IEEE TAI, INS, KBS, FSS, and so on. Google Scholar has cited more than 4200 times, with an H-index of 34. Four papers have been selected as highly cited papers by ESI. And he has published four academic works in Science Press. Prof. Xu has been selected for the 2022 Global Top 2% Scientists List released by Stanford University. His current research interests include fuzzy sets, rough sets, granular computing, approximate reasoning, data mining, and cognitive computing.
徐伟华，1979年5月生，西安交通大学博士、博士后，2011年破格晋升教授，现任职于西南大学人工智能学院，博士生导师，博士后合作导师，香港中文大学、澳门科技大学访问学者，重庆市中青年骨干教师，重庆市十佳科技青年提名奖获得者，兼任国际粗糙集学会高级会员、中国人工智能学会高级会员、中国人工智能学会粒计算与知识发现专委会秘书长、中国人工智能学会知识工程与分布智能专委会常务委员、重庆市数学会理事、国际SCI期刊International Journal of Machine Learning and Cybernetics， Journal of Intelligent and Fuzzy Systems副主编，Mathematics编委等。已在IEEE TCYB、IEEE TFS、IEEE TNNLS、IEEE TETCI、IEEE TBD、IEEE TAI、INS、KBS、FSS等国内外重要学术刊物上发表论文180余篇，SCI检索110余篇（次），Google Scholar引用4200余次，H指数34，4篇论文入选ESI高被引论文，科学出版社出版学术著作4部；先后主持了包括国家自然科学基金青年项目、面上项目等20余项国家级、省部级科技项目，获2017年河北省自然科学奖三等奖1项，入选斯坦福大学发布的2022年全球前2%顶尖科学家榜单，多次担任（或共同担任）国际（内）学术会议程序主席、青年论坛主席，多次受邀担任国际（内）学术会议大会报告人，担任美国数学评论评论员，国家自然科学基金通讯评审专家，教育部自然科学奖评审专家，已在信息科学、智能科学、认知计算、人工智能与粒计算等相关研究领域有丰富的研究经验。
Prof. Zhao Lv
Anhui University, China
ZHAO LV received his Ph.D. degree in
Computer Application Technology from Anhui University, Hefei, China,
in 2011. He was a visiting scholar with the University of Utah, Salt
Lake City, USA, from 2017 to 2018. He is currently a professor
(master and doctoral supervisor) in the School of Computer Science
and Technology at Anhui University, Hefei, China.
His research interests include the broad areas of biomedical signal processing and brain-computer interaction. He has published over 70 scientific articles in prestigious IEEE/Elsevier journals such as IEEE TIM, IEEE TNSRE, JBHI, etc.. He is serving as a Guest Associate Editor for Frontiers in Neuroscience, Editorial Board Member for Frontiers in Human Neuroscience. He is also the reviewer for over 20 prestigious IEEE/Elsevier/Springer journals. He received the support of Anhui Province Science Fund for Distinguished Young Scholars in 2022.
Assoc. Prof. Hovannes Kulhandjian
California State University, Fresno, USA
Hovannes Kulhandjian is an Associate Professor in the Department of Electrical and Computer Engineering at California State University, Fresno (Fresno State). He received his B.S. degree in Electronics Engineering with high honors from the American University in Cairo (AUC) in 2008, and his M.S. and Ph.D. degrees in Electrical Engineering from the State University of New York at Buffalo in 2010 and 2014, respectively. His current research interests are in applied machine learning, robotics, digital signal processing, wireless communications, and networking, with applications to underwater and visible light communications and networking geared towards Intelligent Transpiration Systems (ITS). He is a senior IEEE member and has served as a guest editor for IEEE Access - Special Section Journal on Underwater Wireless Communications and Networking. He has also served as a Technical Committee Member for two dozen of conferences.
Assoc. Prof. Xiuquan Du
Anhui University, China
Assoc. Prof. Jinghua Wu
Sichuan Agricultural University, China
Wu Jinghua, Ph.D., Postdoctoral. I work as a associate professor of Sichuan Agricultural University. I teach the course data mining, machine learning to undergraduate student who study the big data science major, and the course agricultural ecommerce to postgraduate students. My research focuses on digital agriculture and digital economy. And I have published many papers and three academic monographs.
Assoc. Prof. Fwen Hoon Wee
Universiti Malaysia Perlis, Malaysia
Weijing Song Dr. Song is an associate professor of the School of Computer Science, China University of Geosciences. She received D. E. from the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences. She has published more than 20 papers and acquired three provincial science and technology prize. Her research interests include spatial-temporal big data processing, urban geologic hazard, remote sensing image processing.
Assoc. Prof. Mohd Faizal Abdollah
University Teknikal Malaysia Melaka, Malaysia
Associate Profesor Dr Mohd Faizal Abdollah is currently a senior lecturer in University Teknikal Malaysia Melaka. The research area more focuses on network security, malware detection and network management. In cybersecurity, Dr Mohd Faizal led the sub project under CMERP project with the collaboration with Cyber Security Malaysia. This project more focuses on malware detection, eradication and mitigation. Currently, involve in developing EDR together with the Cybersecurity Malaysia. Others than that, Dr Mohd Faizal also involve in various grant sponsor by Ministry of Education, Industrial grant and University grant such as Fundamental Grant for detecting botnet activity, Transdisciplinary Grant for detecting the inside threat, ISIF grant for botnet detection using graph theory. He also teaches UTeM course such as Information Technology and IT Security, Network Management and Administration, Advanced Scalable Network and also manage to produce various conference paper and journal in cybersecurity related field.