International Conference on Computer Science and Artificial Intelligence Applications 2024
Nanchang, China
October 25th-27th, 2024
About CSAIA 2024
The International Conference on Computer Science and Artificial Intelligence Applications will focus on the fields of artificial intelligence, computer science, and engineering. It will provide an international forum to bring together researchers from diverse fields for the presentation of original research results, expanding professional networks, exchanging and disseminating innovative and practical development experiences, discussing key challenges and research directions for the development of the field, promoting the development of theoretical and technology areas that make up the field.
Conference Committee
General Chair
Witold Pedrycz
Professor
University of Alberta, Canada
IEEE Life Fellow
Fellow of Polish Academy of Sciences and Royal Society of Canada
Yingxu Wang
Professor
University of Calgary, Canada
IEEE Fellow
Fellow of British Computer Society
Co-Chair
Roman Slowinski
IEEE Fellow
Professor
Poznan University of Technology, Poland
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Shengxiang Yang
IEEE Senior Member
Professor
De Montfort University, United Kingdom
Ran He
IAPR Fellow, IEEE Senior Member
Professor
Institute of Automation, Chinese Academy of Sciences, China
Feiping Nie
IEEE Senior Member
Professor
Northwestern Polytechnical University, China
Technical Program Chairs
Zafar Said
Associate Professor
University of Sharjah, United Arab Emirates
Ke-Lin Du
Affiliated Associate Professor
Concordia University, Canada
Gang Sun
Professor
University of Electronic Science and Technology of China, China
Hongjun Li
Professor
Nantong University, China
Ye Tian
Associate Professor
Anhui University, China
Huiyu Zhou
Professor
University of Leicester, United Kingdom
Publicity Chair
Lei Chen
Associate Professor
Shandong University, China
Organizing Committee
Hongqing Yu, University of Derby, United Kingdom
Jiwei Zhang, Beijing University of Posts and Telecommunications, China
Thippa Reddy Gadekallu, East Zhongda Group, China
Yirui Wu, Hohai University, China
Technical Program Committee
Anupam Singh, University of Stirling, United Kingdom
Bin Liu, Dalian University of Technology, China
Dalin Zhang, Aalborg University, Denmark
Di Wu, Southwest University, China
Dong Zhang, Sun Yat-sen University, China
Enmei Tu, COSCO R&D Innovation Center, China
Giuseppe Ciaburro, The University of Campania Luigi Vanvitelli, Italy
Hitesh Mohapatra, Kalinga Institute of Industrial Technology University, India
Hongwei Guo, Hong Kong Polytechnic University, China
Hoshang Kolivand, Liverpool John Moores University, United Kingdom
Jianjun Wang, Southwest University, China
Jinping Liu, Hunan Normal University, China
José Luis Verdegay, Universidad de Granada, Spain
Jun Ye, Ningbo University, China
Ka-Chun Wong, City University of Hong Kong, China
Krishanu Roy, University of Waikato, New Zealand
Lakshmana Kumar Ramasamy, Higher Colleges of Technology, United Arab Emirates
Lawan Jibril Muhammad, Federal University, Nigeria
Loris Roveda, Istituto Dalle Molle di studi sull'Intelligenza Artificiale (IDSIA), Switzerland
Mohit Mittal, Knowtion GmbH, Germany
Nicola Capuano, University of Basilicata, Italy
Pascal Lorenz, University of Haute-Alsace, France
Qinghe Zheng, Shandong University, China
Randy Kuang, Quantropi Inc., Canada
Reza Shahbazian, University of Calabria, Italy
Rui Gong, Mercer University, United States
Sansanee Auephanwiriyakul, Chiang Mai University, Thailand
Shahzad Ashraf, NFC Institute of Engineering and Technology, Pakistan
Shiyin Qin, Dongguan University of Technology, China
Sujata Dash, Nagaland University, India
Surjeet Dalal, Amity University, India
Valentina Balas, Aurel Vlaicu University of Arad, Romania
Vinayakumar Ravi, Prince Mohammad Bin Fahd University, Saudi Arabia
Wei-Chiang Hong, Asia Eastern University of Science and Technology, China
Weiwei Jiang, Beijing University of Posts and Telecommunications, China
Wellington Pinheiro dos Santos, Federal University of Pernambuco, Brazil
Wenbin Zhang, Florida International University, United States
Yao Yevenyo Ziggah, University of Mines and Technology, Ghana
Yaoqi Yang, Army Engineering University, China
Ye Yuan, Southwest University, China
Yihan Xing, University of Stavanger, Norway
Yonggang Fu, Jimei University, China
Yuankai Wu, Sichuan University, China
Zaoli Yang, Beijing University of Technology, China
Željko Stević, University of East Sarajevo, Bosnia and Herzegovina
Zicheng Liu, Northwestern Polytechnical University, China
Speakers
Dr. Yi Pan is currently a Chair Professor and the Dean of the College of Computer Science and Control Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences and Regents' Professor Emeritus, Georgia State University, Atlanta, GA, USA. From 2005 to 2020, he was the Chair of Computer Science Department, Georgia State University. He received the B.Eng. and M.Eng. degrees in computer engineering from Tsinghua University, Beijing, China, in 1982 and 1984, respectively, and the Ph.D. degree in computer science from the University of Pittsburgh, Pittsburgh, PA, USA, in 1991. He has authored or coauthored more than 450 papers including more than 250 journal papers with more than 100 papers published in IEEE/ACM Transactions/Journals. In addition, he has edited/authored 43 books. His work has been cited more than 24000 times. He was the recipient of many awards, including one IEEE Transactions Best Paper Award, five IEEE and other international conference or journal Best Paper Awards, four IBM Faculty Awards, two JSPS Senior Invitation Fellowships, IEEE BIBE Outstanding Achievement Award, IEEE Outstanding Leadership Award, NSF Research Opportunity Award, and AFOSR Summer Faculty Research Fellowship. His research interests mainly include bioinformatics and health informatics using big data analytics, cloud computing, parallel and distributed computing, and machine learning technologies.
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Abstract: coming soon
Prof. Yi Pan
IET Fellow, ACIS Fellow
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Georgia State University, United States
Dr. Peter Stone holds the Truchard Foundation Chair in Computer Science at the University of Texas at Austin. He is Associate Chair of the Computer Science Department, as well as Director of Texas Robotics. In 2013 he was awarded the University of Texas System Regents' Outstanding Teaching Award and in 2014 he was inducted into the UT Austin Academy of Distinguished Teachers, earning him the title of University Distinguished Teaching Professor. Professor Stone's research interests in Artificial Intelligence include machine learning (especially reinforcement learning), multiagent systems, and robotics. Professor Stone received his Ph.D in Computer Science in 1998 from Carnegie Mellon University. From 1999 to 2002 he was a Senior Technical Staff Member in the Artificial Intelligence Principles Research Department at AT&T Labs - Research. He is an Alfred P. Sloan Research Fellow, Guggenheim Fellow, AAAI Fellow, IEEE Fellow, AAAS Fellow, ACM Fellow, Fulbright Scholar, and 2004 ONR Young Investigator. In 2007 he received the prestigious IJCAI Computers and Thought Award, given biannually to the top AI researcher under the age of 35, and in 2016 he was awarded the ACM/SIGAI Autonomous Agents Research Award. Professor Stone co-founded Cogitai, Inc., a startup company focused on continual learning, in 2015, and currently serves as Executive Director of Sony AI America.
Title: coming soon
Abstract: coming soon
Prof. Peter Stone
IEEE Fellow, ACM Fellow, AAAS Fellow
Truchard Foundation Chair in Computer Science
The University of Texas at Austin, United States
Executive Director
Sony AI America
Prof. Eduard Hovy
AAAI Fellow, ACL Fellow, ISI Fellow
Director of Melbourne Connect
School of Computing and Information Sciences,
The University of Melbourne, Australia
Eduard Hovy received the Ph.D. degree in computer science from Yale University, and then led a research team at the University of Southern California's Information Sciences Institute in Los Angeles for over 20 years. He received the honorary doctorates from the National University of Distance Education (UNED) in Madrid, in 2013, and the University of Antwerp, in 2015. He presently at the University of Melbourne as Executive Director of Melbourne Connect and as a Professor in the School of Computing and Information Sciences. He has published more than 500 research papers. His research focuses on various topics, including aspects of the computational semantics of human language. He is a Fellow of the AAAI. He serves or has served on the editorial boards of several journals, such as the ACM Transactions on Asian Language Information Processing TALIP and Language Resources and Evaluation (LRE).
Title: coming soon
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Prof. Zhongfei Zhang
IEEE Fellow, IAPR Fellow, ACIS Fellow
Department of Computer Science
Watson School of Engineering and Applied Sciences
Binghamton University, State University of New York (SUNY)
Zhongfei (Mark) Zhang is a Professor of Computer Science at Binghamton University, State University of New York (SUNY). He directs the Multimedia Research Laboratory at Binghamton. He has a B.S. (cum laude) in Electronics Engineering, an M.S. in Information Science, both from Zhejiang University, Hangzhou, China, and a Ph.D. in Computer Science from the University of Massachusetts at Amherst. When he was in the graduate school, he also worked as an Intern student at NEC Research Institute, Inc. at Princeton, NJ, and as a technical consultant at Applied Artificial Intelligence, Inc. (formerly Amerinex Artificial Intelligence, Inc.) at Amherst, MA. He was a research scientist at the Center of Excellence for Document Analysis and Recognition and was on the faculty of the Department of Computer Science and Engineering, both at the University at Buffalo, SUNY, before he joined the faculty of the Department of Computer Science at Binghamton. He also holds many visiting positions while he was on leave from Binghamton years ago including an NRC Visiting Fellow at the Air Force Research Laboratory in the US, a Microsoft Visiting Researcher Fellow at Microsoft Research, a JSPS Fellow and Chuo University Visiting Professorship at Chuo University and Waseda University both in Japan, a visiting faculty at Carnegie Mellon University in the US, a French CNRS Chair Professorship at the University of Lille 1 in France, and a QiuShi Chair Professorship at Zhejiang University in China. He has published over 200 peer-reviewed academic papers in the leading international journals and conferences as well as several invited papers and book chapters in his areas, has edited or co-edited three books, has published two monographs, has served as editorial board members in several international journals and as different roles in the organization committees for the premier conferences in his areas, and has served as grant review panelists for several governmental and private funding agencies including NSF and NASA. His research is supported by federal and state governments, noticeably including NSF, AFOSR, and AFRL. He is a Fellow of IEEE, IAPR, and AAIA.
Title: coming soon
Abstract: coming soon
Prof. Michael Kwok-Po Ng
SIAM Fellow, AAIA Fellow
Chair Professor
Department of Computer Science, Department of Mathematics
Hong Kong Baptist University, China
Michael K. Ng received the B.Sc. and M.Phil. degrees from The University of Hong Kong, Hong Kong, in 1990 and 1992, respectively, and the Ph.D. degree from the Chinese University of Hong Kong, Hong Kong, in 1995.,He was a Research Fellow of computer sciences laboratory at Australian National University, Canberra, ACT, Australia, from 1995 to 1997, and an Assistant/an Associate Professor at The University of Hong Kong, from 1997 to 2005. He was a Professor/the Chair Professor at the Department of Mathematics, Hong Kong Baptist University, Hong Kong, from 2006 to 2019. He was the Chair Professor at the Research Division of Mathematical and Statistical Science, The University of Hong Kong, from 2019 to 2023. He is currently the Chair Professor in mathematics and the Chair Professor of data science with Hong Kong Baptist University. His research interests include bioinformatics, image processing, scientific computing, and data mining.,Dr. Ng serves on the editorial board members of several international journals. He is selected for the 2017 Class of Fellows of the Society for Industrial and Applied Mathematics. He obtained the Feng Kang Prize for his significant contributions in scientific computing.
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Abstract: coming soon
Dr. Xiaoli Li
IEEE Fellow
Department Head and Principal Scientist (Machine Intellection)
A*STAR, Singapore
Adjunct Full Professor
School of Computer Science and Engineering
Nanyang Technological University, Singapore
Dr. Li Xiaoli is the Department Head and Principal Scientist of the Machine Intellection (MI) department at the Institute for Infocomm Research (I2R), A*STAR, Singapore. He also holds adjunct full professor position at School of Computer Science and Engineering, Nanyang Technological University. He has been a member of ITSC (Information Technology Standards Committee) from ESG Singapore and IMDA since 2020 and has served as joint lab directors with a few major industry partners. He holds the title of IEEE Fellow and is also recognised as a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA).
Dr. Li also served as a health innovation expert panel member for the Ministry of Health (MOH), as well as an AI advisor for the Smart Nation and Digital Government Office (SNDGO), Prime Minister’s Office, highlighting his extensive involvement in key Government and industry initiatives.
His research interests include AI, data mining, machine learning, and bioinformatics. He has been serving as the Chair of many leading AI/data mining/machine learning related conferences & workshops (including KDD, ICDM, SDM, PKDD/ECML, ACML, PAKDD, WWW, IJCAI, AAAI, ACL, and CIKM). He currently serves as editor-in-chief of Annual Review of Artificial Intelligence, and associate editor of Knowledge and Information Systems, and Machine Learning with Applications (Elsevier).
Dr Li is a pioneer researcher in the following two domains:
1. Positive Unlabelled learning, with more than 3,000 citations and the term Positive Unlabeled Learning was coined in his paper,
2. AI based time series sensor data analytics for equipment health monitoring, with more than 3,000 citations (his top AI IJCAI 2015 paper has been cited more than 1,300 times).
He was one of the first researchers to formulate the sensor feature learning problem using deep neural networks.
He led his team to win various top AI and data analytics international benchmark competitions and works closely with government agencies and industry partners across different verticals, e.g., bank and insurance, healthcare, aerospace, telecom, audit firm, transportation etc, to create social and economic impact.
Dr Li has published more than 320 peer-reviewed papers in top AI, Data Mining, Machine Learning and Bioinformatics conferences and journals with more than 20,000 citations (more than 2,000 annual citations in recent years; H-index 69) and won ten best paper awards.
His global standing in the field of Computer Science has been acknowledged by his ranking at #713 among the Best Scientists by Research.com (https://research.com/u/xiaoli-li). Additionally, he has been recognised as one of the world's top 2% scientists in the AI domain by Stanford University.
Title: coming soon
Abstract: coming soon
Call For Papers
The topics include but are not limited to:
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AI Applications in Other Areas
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Brain-inspired Intelligence
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Brain-machine Interface
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Cognitive Modeling of Intelligence
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Computational Biology and Bio-informatics
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Computer Network
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Cyber-Physical Systems
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Data Mining
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Document Analysis and Handwriting Recognition
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Electron Devices
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Flexible Electronics and Displays
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Fuzzy Logic
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Information Retrieval
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Intelligent Robotics
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Internet Computing
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Internet of Things (IoT)
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Machine Learning
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Multimedia Analysis
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Neural Networks
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Pattern Recognition
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Robotics
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Signal and Image Processing
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Soft Computing
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Speech and Language Processing
Sponsors
