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Keynote Speakers |
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Prof. Mohammad S. Obaidat Professor Mohammad S. Obaidat is an internationally known academic/researcher/scientist/ scholar. He received his Ph.D. degree in Computer Engineering with a minor in Computer Science from The Ohio State University, Columbus, USA. He has received extensive research funding and published To Date (2023) over One Thousand (1,200) refereed technical articles-About half of them are journal articles, over 100 books, and over 70 Book Chapters. He is Editor-in-Chief of 3 scholarly journals and an editor of many other international journals. He is the Editor-in Chief of the Wiley International Journal of Communication Systems and Founding Editor-in Chief of Wiley Security and Privacy Journal. He is also the founding Advisory Editor of the Cybersecurity and Applications Journal, KeAi. Moreover, he is founder or co-founder of 5 IEEE International Conferences. Among his previous positions are Advisor to the President of Philadelphia University for Research, Development and Information Technology, President and Chair of Board of Directors of the Society for Molding and Simulation International(SCS), Senior Vice President of SCS, SCS VP for Membership and SCS VP for Conferences, Dean of the College of Engineering at Prince Sultan University, Founding Dean of the College of Computing and Informatics at The University of Sharjah, Chair and tenured Professor at the Department of Computer and Information Science and Director of the MS Graduate Program in Data Analytics at Fordham university, Chair and tenured Professor of the Department of Computer Science and Director of the Graduate Program at Monmouth University, Chair and Professor of Computer Science Department at University of Texas-Permian Basin, Distinguished Professor at IIT-Dhanbad, Tenured Full Professor at King Abdullah II School of Information Technology (KASIT), University of Jordan, The PR of China Ministry of Education Distinguished Overseas Professor at the University of Science and Technology Beijing, China and an Honorary Distinguished Professor at the Amity University- A Global University. He is now a Distinguished Professor at KASIT, University of Jordan. He is also a Distinguished Professor at SRM University, India. He has chaired numerous (Over 185) international conferences and has given numerous (Over 185) keynote speeches worldwide. He has served as ABET/CSAB evaluator and on IEEE CS Fellow Evaluation Committee. He has served as IEEE CS Distinguished Speaker/Lecturer and an ACM Distinguished Lecturer. Since 2004 has been serving as an SCS Distinguished Lecturer. He received many best paper awards for his papers including ones from IEEE ICC, IEEE Globecom, AICSA, CITS, SPECTS, DCNET, IEEE ICCCA, International conferences. He also received Best Paper awards from IEEE Systems Journal in 2018 and in 2019 (2 Best Paper Awards). In 2020, he received 4 best paper awards from IEEE Systems Journal and also in 2021 received the best paper award from IEEE Systems Journal. During his tenure as Founding Dean of College of computing and Informatics at University of Sharjah, the Computer Sciences program has been ranked by Times for Higher Education (THE) as NUMBER 1 in UAE and for the first time in the history of the University. He also received many other worldwide awards for his technical contributions including: The 2018 IEEE ComSoc-Technical Committee on Communications Software 2018 Technical Achievement Award for contribution to Cybersecurity, Wireless Networks Computer Networks and Modeling and Simulation, SCS prestigious McLeod Founder's Award , Presidential Service Award, SCS Hall of Fame –Lifetime Achievement Award for his technical contribution to modeling and simulation and for his outstanding visionary leadership and dedication to increasing the effectiveness and broadening the applications of modeling and simulation worldwide. He also received the SCS Outstanding Service Award. He was awarded the IEEE CITS Hall of Fame Distinguished and Eminent Award. He also received the Nokia Distinguished Fellowship Award and Fulbright Distinguished Scholar Award, among others. He is on the World's Top Career-long top 2% Scientists as per Stanford University recent list. In 2024, ScholarGPS has ranked him Number 1 Scholar Worldwide in Telecommunications and Telecommunication Systems Management. He was ranked recently by research.com agency as number ONE Computer Scientist and number ONE Scholar in Electronics and Electrical Engineering in Jordan. In recognition of his significant scientific contribution, Springer published in 2022 a book honoring his contributions in Computing, Informatics, Networking and Cybersecurity. It is entitled: Advances in Computing, Informatics, Networking and Cybersecurity - A Book Honoring Professor Mohammad S. Obaidat’s Significant Scientific Contributions. Prof. Obaidat is a Life Fellow of IEEE, a Fellow of AAIA, Fellow of FTRA, Fellow of AIIA, and a Fellow of SCS. Speech title: Enhancing Malicious Activity Detection in IoT Enabled Network and IoMT Systems by Metaheuristic Optimization and Machine Learning Schemes Abstract: The increasing prevalence of malicious activities in IoT-enabled healthcare and Internet of Medical Things (IoMT) systems necessitates robust intrusion detection mechanisms. This talk introduces a novel approach combining meta-heuristic optimization and machine learning techniques to analyze network traffic for enhanced detection accuracy. Our proposed method utilizes eleven chaotic maps and the K-Nearest Neighbor (KNN) algorithm to identify malicious activity in IoMT and IoT network systems. Recognizing the significance of feature selection in network traffic intrusion detection, we employ the Chaotic Grey Wolf Optimizer (CGWO) to select the most relevant and impactful features for learning strategically. Our approach demonstrates superior performance through comprehensive experiments compared to well-known meta-heuristic algorithms and prior art methods, as evidenced by various evaluation metrics. This research contributes to advancing intrusion detection systems in healthcare IoMT and IoT, offering a reliable and efficient solution to safeguard against evolving cyber threats. |
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Assoc. Prof. Yonghui Wu Dr. Yonghui Wu, associate professor at Fudan University, visiting scholar at Stony Brook University, and adjunct professor at Quanzhou University of Information Engineering, the chair of the ICPC Asia Training Committee. He won three medals in ACM ICPC World Finals for Fudan University. His book series “Collegiate Programming Contests and Education” has been published in simplified and traditional Chinese and English: the former by respective publishers of mainland China and Taiwan, and the latter, the first book’s translation, by CRC Press. Since 2013, he has been giving lectures not only in China, but also in other countries. Talk Title: Curriculums and the Teaching and Experimental Training System for Solving Problems by Programming Abstract: Programming technologies are the implementation technologies for the society and all people's quality. All professions like “tools”, including programmers, will be replaced by AI technologies in the foreseeable future. Improving students' abilities of computational thinking and mathematical thinking for solving problems by programming is the breakthrough point for computer education. Curriculums and the teaching and experimental training system for "solving problems by programming" is introduced. And informatization technologies and AI tools are used in the blended learning process, to manage homework and examinations, and to evaluate the teaching effectiveness. Innovations and effects for these works are showed. These works polish students’ programming skills efficiently, and meet the requirements for computer professionals in the age of AI. |
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Assoc. Prof. Anas Bilal Dr. Anas Bilal, an accomplished scholar and innovator, earned his B.S. degree in Telecommunication and Networks from Iqra University, Pakistan, in 2013, followed by an M.S. degree in Electrical and Electronic Systems from the University of Lahore, Pakistan, in 2016. He achieved his Ph.D. in Electronics Science and Technology from Beijing University of Technology, China, in 2021. Currently, he serves as an Assistant Professor and Undergraduate Supervisor at the Software College, Hainan Normal University in Haikou, China. Dr. Bilal has made significant contributions to the field, authoring over 50 technical articles in esteemed scientific journals and conference proceedings. His research is at the forefront of Artificial Intelligence, Computer Vision, Image Processing, Medical Imaging, Remote Sensing, and Pattern Recognition. He is dedicated to advancing image processing and computational communication methods, developing pioneering techniques for medical and remote sensing imagery. An esteemed Senior Member of IEEE, Dr. Bilal holds multiple prestigious editorial and advisory positions. He is an Editorial Board Member of Discover Computing, an Academic Editor for PLOS ONE and CMC Journal, and an Advisory Board Member for the Journal of Social Sciences Advancements. Additionally, he has been an influential figure in organizing international conferences, serving as the International Advisory Chair at BDAITM 2023 in China, the Program Chair at ICPPOE 2022, ICAICT 2023, and a Member of the Technical Program Committee at AIIPCC 2023, among others. Dr. Bilal is also a senior member of the Institute of Electrical and Electronics Engineers (IEEE), the IEEE Computer Society Technical Community on Computer Architecture, and the IEEE Young Professionals. His dynamic leadership and innovative research continue to propel advancements in technology and engineering. Talk Title: Are We Too Dependent on Medical Imaging? Balancing Risks and Resources Abstract: Medical imaging plays a crucial role in modern healthcare, helping diagnose, treat, and monitor a wide range of conditions. However, growing dependence on these technologies has sparked concerns about overuse, leading to unnecessary scans, patient anxiety, and strain on healthcare resources. This speech addresses the delicate balance between under- and over-imaging, especially in the context of ongoing resource limitations and the lasting effects of the COVID-19 pandemic. It stresses the importance of using medical imaging judiciously, ensuring that each scan is both necessary and effective in improving patient care. |
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Assoc. Prof. Ting Su Ting Su received the B.S. degree in communication engineering and the Ph.D. degree in electronic science and technology from the Nanjing University of Science and Technology, Nanjing, China, in 2006 and 2016, respectively. She has successfully completed her postdoctoral research at the Institute of Communications Engineering, Army Engineering University of PLA, Nanjing, in 2020. She is also an Associate Professor at Hainan University, Haikou, China. Her research interests include computational electromagnetic, radar signal processing, and wireless communications.
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Prof. Haixia Long Haixia Long, Ph.D., Professor, Doctoral Supervisor, CCF Senior Member, IEEE Senior Member, Hainan Province NanHai Famous Expert, Hainan Province High level Talent, Hainan Province First Class Undergraduate Professional Software Engineering Leader, Hainan Province Excellent Graduate Supervisor, Hainan Province Science and Technology Expert, National Natural Science Foundation Letter Evaluation Expert, Hainan Province Science and Technology Department Project Evaluation Expert, Hainan Province Big Data Management Bureau Government Informatization Project Evaluation Expert. Key members of the Ministry of Education's Key Laboratory of "Data Science and Smart Education", Hainan Provincial Key Laboratory of "Computational Science and Applications", Hainan Provincial Engineering Research Center of "Data Technology and Applications", and core members of the second batch of Hainan Provincial Talent Team of "Tropical Marine Coastal Remote Sensing and Computer Vision". Research in the field of artificial intelligence theory and technology and its application in the field of bioinformatics. Hosted (completed) 2 National Natural Science Foundation projects, hosted (completed) 4 Hainan Provincial Natural Science Foundation projects, participated in (completed) 12 projects at or above the provincial and ministerial level; served as the first or corresponding author Published over 80 high-level papers, and served as the first editor in chief for 3 monographs; The independent completion person won one Hainan Provincial Science and Technology Progress Award, and the first completion person won one Hainan Provincial Excellent Research Achievement Award for Higher Education Institutions; Obtained 11 authorized patents; Guided graduate and undergraduate students to participate in various computer related subject competitions, and won a total of 32 awards at or above the provincial level. Talk Title: Single-Cell transcriptome data analysis based on graph neural network models Abstract: With the development of high-throughput sequencing technology, the scale of single-cell transcriptome data also surges, and its data is typical high-dimensional, high noise and high sparsity data. Therefore, gene imputation, dimensionality reduction and cell clustering analysis of transcriptome data are becoming more and more important, which are closely related. Statistics based methods or traditional machine learning methods are inefficient and the accuracy needs to be improved; The method based on deep learning can not directly process non Euclidean spatial data, such as cell diagram. The purpose of this research is to construct a graph neural network model for transcriptome data analysis. The results of the research can further promote the development of bioinformatics. |
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Prof. Lianming Wang Lianming Wang was born in Baishan City, Jilin Province, China in 1972. He received his B.S.and M.S degrees in Electric Information Science and Technology in 1993 and in 1996 respectively from Northeast Normal University, Changchun, China and the Ph.D. degree in Mechanical and Electrical Engineering from Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China in 2002. He is currently a professor in the College of Marine Information Engineering, Hainan Tropical Ocean University, Sanya, China. His research interest includes computer vision, image processing, bionic robot and educational informatization. Talk Title: Computer Course Setting in the Background of Emerging Engineering Education Abstract:
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Prof. Zhong Wang Zhong Wang, Dean, School of Information Technology, Hainan College of Economics and business; Chairman, Hainan Province Computer and Electronic Information Vocational Education Teaching Guidance Committee; Vice President, Haikou Center of the China Computer Federation (CCF); Vice Chairman, Hainan AI Association; Executive Director, Hainan Province Computer Federation(HCF)1991. He earned the bachelor's degree in Mechanical and Electronic Engineering, Gansu Institute of Technology in 1991, and master's degree in Communication and Information Systems, Hainan University in 2008. He has hosted 1 National Level Teaching Resource Library Project, led 1 Education and Teaching Reform Project of the Ministry of Education, directed 2 Provincial-Level Education Research Projects, and participated in more than 10 Provincial-Level Education Research Projects. Moreover, he published over 30 academic papers in various domestic and international journals, authored 6 academic works and textbooks, obtained 2 patent achievements, received 1 provincial-level teaching achievement award in Hainan. His research interests is intelligent media and speech recognition. He obtained multiple honors and titles for his contributions to education and research in the field of information technology and artificial intelligence. Talk Title: Research and Practice on the Cultivation of Artificial Intelligence Professionals in Vocational Colleges Abstract: Join us for our upcoming workshop on ‘Research and Practice on the Cultivation of Artificial Intelligence Professionals in Vocational Colleges’. This workshop delves into the challenges and opportunities of AI talent development within vocational education institutions. We will present cutting-edge research findings and practical experiences, discussing effective curriculum design, teaching methods, and strategies to foster students’ innovation and practical skills. Through interactive discussions and case studies, participants will gain valuable insights and tactics to advance AI education in vocational colleges. Your participation is key to propelling the field of AI education forward. We look forward to seeing you there! |
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Prof. Duan Yucong Prof. Duan Yucong is an Academician of the Advanced Technology and Engineering (ATE) Institute, Chairman of the World Association of Artificial Consciousness, Professor, and Doctoral Supervisor. He has been honored with titles such as the leader of the "Double Hundred" Talent Team and Talent Team in Hainan Province by the Hainan Provincial Party Committee, the Most Beautiful Scientific and Technological Worker in Hainan Province (national candidate), and the "Lifetime Scientific Influence Ranking" and "Annual Scientific Influence Ranking" among top scientists globally.
He currently serves concurrently as a Special Expert of CAST-HAIZHI, Chairman of the Expert Advisory Committee for Science and Technology Strategy of China Science and Technology Industry Promotion Association, an expert included in the database of the Supreme People's Procuratorate, Senior Advisor of Beijing Credit Society, Chairman of the World Artificial Consciousness Conference, Chairman of the International Evaluation Standard Committee for AI DIKWP, evaluator for national key research and development projects, evaluator for the National Ten Thousand Talents Program, evaluator for the Natural Science Foundation of Zhejiang Province, evaluator for major science and technology plans in Zhejiang Province, evaluator for Qatar National Research Fund, training expert for the Belt and Road Initiative of the Ministry of Commerce of the People's Republic of China, and lecturer at the Party School of the Hainan Provincial Committee of the CPC.
Graduated from the Institute of Software, Chinese Academy of Sciences, he has worked and studied at Tsinghua University, Capital Medical University, Pohang University of Science and Technology in Korea, the French National Academy of Sciences, Charles University in Prague, Czech Republic, Bicocca University in Milan, Italy, and Missouri State University in the United States. His main research areas include DIKWP, artificial consciousness, and general artificial intelligence. He is the technical leader of several major national science and technology projects. He has published over 260 papers, with more than 120 included in SCI, 11 highly cited by ESI, and over 6,000 citations. He has designed 241 Chinese and international invention patents, with 95 authorized.
He has received numerous awards, including the Wu Wenjun Artificial Intelligence Technology Invention Award, the "Martin Oppermann Memorial Award Best Article of the Year 2023", the best record in the final of the China Innovation Method Contest (Hainan), the most authorized patents in the field of information technology in Hainan Province, the best achievement in the National Enterprise Innovation and Efficiency Improvement Contest (Hainan), the best achievement in the final of the National AI Application Scenario Innovation Challenge (Hainan), and inclusion in the "Top 100 Articles" at the First Conference on High-Quality Development of Scientific and Technological Journals. |
