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Keynote Speaker 大会邀请报告(2024)

Prof. Hong Shen
China National Endowed Expert, Sun Yat-sen University, China

Hong Shen is a specially-appointed Professor in Sun Yat-sen University, China, where he was the foundation Director of SYSU's Institute for Advanced Computing. He is also an Adjunct Professor in the University of Adelaide, Australia, where he was a tenured Professor (Chair of Computer Science) for 15 years. He received the BS degree from Beijing University of Science and Technology, MS degree from University of Science and Technology of China, and PhD degree from Abo Akademi University, Finland. Dr Shen was Professor and Chair of the Computer Networks Laboratory in Japan Advanced Institute of Science and Technology (JAIST), and Professor of Computer Science at Griffith University. With main research interests in parallel and distributed computing, privacy preserving computing and high performance networks, he has led numerous research centers and projects in different countries. He has published 400+ papers including over 100 papers in major international journals such as a variety of IEEE and ACM transactions. Dr. Shen received many honors and awards, and served on different roles in professional societies, journal editorial boards and conference committees.

 

 

Prof. Ruifeng Xu
Harbin Institute of Technology, Shenzhen, China

 

教授，博士生导师，计算机科学与技术学院院长助理。

中国人工智能学会青年工作委员会秘书长，中国计算机学会中文信息技术专业委员会副秘书长，Springer International Journal of Machine Learning and Cybernetics (SCI Index IF2.692 Q2) 副主编，深圳高层次领军人才（地方级）。

香港理工大学电子计算学系硕士、博士，曾任香港中文大学博士后，香港理工大学高级研究助理，香港城市大学研究员。现任亚洲自然语言处理学会(AFNLP)社会媒体计算专委会委员，中国中文信息学会社会媒体处理专业委员会常务委员，中国人工智能学会自然语言理解专业委员会委员、知识工程与分布智能专委会委员。

长期从事自然语言理解、文本情绪计算、社交媒体挖掘、生物信息学、脑电信号处理与脑机接口等方面的研究。出版英文学术专著2本，译著1本，发表国际期刊论文20余篇，国际会议论文80余篇。主持国家重点研发计划课题，国家自然科学基金重点项目子课题/面上项目/培育项目、国家重点实验室开放课题、高等院校博士点基金、广东省自然科学基金项目等多项。在NTCIR, COAE, NLPCC等多次情感分析相关评测中取得第一名。

2017年获教育部高等院校科技进步奖二等奖（第二名）。2013年获中国人工智能学会最佳青年科技成果奖及香港资讯与通讯科技奖最佳协同合作奖。2015年获中国人工智能学会首届全国青年人工智能创新创业大会特等奖。

指导博士生桂林获2016年百度奖学金（全球10人 广东省高校首次获奖），入选2018年中国人工智能学会优秀博士学位论文（哈尔滨工业大学首次获奖），入选欧盟玛丽居里学者博士后资助计划。

指导研究生团队获国家工业和信息化部工信创新奖学金二等奖、2013年中国计算机学会全国青年大数据创新大赛一等奖。2016年中国中文信息学会微众杯技术评测竞赛一等奖、哈尔滨工业大学国家开发银行科技创新奖。2017年中国计算机学会大数据与计算智能大赛二等奖、中国中文信息学会微众杯技术评测竞赛二等奖。2018年中国计算机学会大数据与计算智能大赛二等奖等。

 

Invited Speakers

Assoc. Prof. Lin Bai

Chang’an University, China

 

Lin Bai (Member, IEEE) received the B.S. degree in electronic information science and technology from Northwest University, Xi’an, China, in 2003, the M.S. degree in electronic science and technology from Xidian University, Xi’an, in 2006, and the Ph.D. degree in signal and information processing from Northwestern Polytechnical University, Xi‘an, in 2011
He is currently an Associate Professor with the School of Electronic and Control Engineering, Chang’an University, Xi’an. His research interests include machine learning and remote sensing image processing.

 

Assoc. Prof. Hongjian Wang

Donghua University, China

 

The previous speakers

Prof. Wei Wang

Associate Dean 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。

 

Invited Speaker 大会特邀报告

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.