Keynote Speakers

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  Neil Gordon

  Research field：Finite Geometry and Applications; HCI, Gamification and Computer-based Instruction; Computer Algebra; Safety and Reliability Analysis; Telehealth; Technology Enhanced Learning and Information Systems.

  Professor, University of Hull, UK.

  Neil is a Professor in Computer Science, a National Teaching Fellow, and a Principal Fellow of AdvanceHE. He has produced a number of reports for AdvanceHE, in particular on how technology enhanced learning can enable flexible pedagogy, on the role of assessment in education, and on ways to address issues in retention and attainment in computing education. His research interests include applications of computer science to enable true technology enhanced learning, issues around sustainable development, as well as more discipline specific work on applications of computer algebra and formal methods.
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  Ljiljana Trajkovic

  Research field：Communication Network; Nonlinear Circuits and Systems.

  Professor, IEEE Fellow, Simon Fraser University, Canada.

  Ljiljana Trajković is Professor with the School of Engineering Science, Simon Fraser University in Canada. She graduated from University of Pristina in 1974, got her master's degrees in electrical engineering (1979) and computer engineering (1981) from Syracuse University and PhD in electrical engineering from University of California, Los Angeles in 1986. She was an National Science Foundation Visiting Professor at UC Berkeley College of Engineering, and a research scientist and member of technical staff at Bell Labs and Bell Communications Research. She was the President of IEEE Circuits and Systems Society, IEEE Systems, Man, and Cybernetics Society and she currently serves as Editor-in-Chief of IEEE Transactions on Human-Machine Systems. In 2005, she was elected Fellow of the Institute of Electrical and Electronics Engineers "for contributions to computer aided design tools for circuit analysis".
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  Haibin Zhu

  Research field：Collaboration Systems; Human-Machine Systems; Computational Social Systems; Collective Intelligence; Multi-Agent Systems; Software Engineering; and Distributed Intelligent Systems.

  Professor, IEEE/ACM Senior Member, Nipissing University, Canada.

  Dr. Haibin Zhu is a Full Professor and the Coordinator of the Computer Science Program, the Founding Director of the Collaborative Systems Laboratory, a member of Arts and Science Executive Committee, Nipissing University, Canada. He is an affiliate professor of Concordia Univ. and an adjunct professor of Laurentian Univ., Canada. He received a BSc degree in computer engineering from the Institute of Engineering and Technology, China (1983), and MSc (1988) and PhD (1997) degrees in computer science from the National Univ. of Defense Tech. (NUDT), China. He has accomplished (published or in press) over 230+ research works including 40+ IEEE Transactions articles, six books, five book chapters, four journal issues, and four conference proceedings. He is a fellow of I2CICC (International Institute of Cognitive Informatics and Cognitive Computing), a senior member of IEEE, a senior member of ACM, a full member of Sigma Xi, and a life member of CAST-USA (Chinese Association of Science and Technology, USA). He was AE of IEEE SMC Magazine (2018-2021), Associate Vice President (AVP), SSE (2021), IEEE SMCS, a Conference (Co-) Chair and Program (Co-)Chair for many international conferences, and a PC member for 140+ academic conferences. He has offered 20+ keynote and plenary speeches for international conferences and 90+ invited talks internationally.
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  Danilo Avola

  Research field：Computer Vision; Image/ Video Processing; Human Computer Interaction; Wi-Fi Signal Processing; Egg Signal Processing; Machine/ Deep Learning; Multimodal Systems; Pattern Recognition; Event/ Action/ Affect Recognition; Action; Scene Understanding; Body Lan.

  Assistant Professor, IEEE Senior Member, Sapienza University of Rome, Italy.

  Danilo Avola earned his Ph.D. degree in Molecular and Ultrastructural Imaging from University of L'Aquila, L'Aquila, Italy, in 2014. Since 2021 he is Assistant Professor at the Department of Computer Science of Sapienza University of Rome, where he leads both the Robotics Vision and Artificial Intelligence Laboratory (TITAN Lab) and the Computer Vison Laboratory (VisionLab). In addition, since 2018 he is R&D Senior Engineer at the W•SENSE s.r.l., a spin-off of Sapienza University of Rome, where he leads the Computer Vision Team (CVT), and since 2010 he provides consultation and collaboration to companies engaged in computer science, computer vision, and artificial intelligence research projects. In addition, he is Associate Editor and Guest Editor of different ranked International Journals. His research interests include Computer Vision, Image/Video Processing, Human Computer Interaction, Wi-Fi Signal Processing, EGG Signal Processing, Machine/Deep Learning, Multimodal Systems, Pattern Recognition, Event/Action/Affect Recognition, Action, Scene Understanding, Body Language and Face Expression Interpretation, Robotics (UAVs, AUVs, ROVs, Humanoids), and has published around 100 papers on these topics. Since 2011, Danilo Avola is member of IAPR, CVPL, and IEEE.
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  Vladan Devedzic

  Research field：Artificial Intelligence; Programming Education; Software Engineering; Intelligent Software Systems; Technology-enhanced Learning (TEL).

  Professor, University of Belgrade, Serbia.

  Vladan Devedzic is a Professor of Computer Science and Software Engineering at the University of Belgrade, Faculty of Organizational Sciences, Belgrade, Serbia. He also used to teach several Computer Science courses at the School of Electrical Engineering, University of Belgrade, as well as at the Military Academy of Serbia (ex Yugoslav Military Academy). Since 2021, he is a Corresponding Member of the Serbian Academy of Sciences and Arts (SASA). He is the founder and the Chair of the GOOD OLD AI research network. Vladan Devedzic has authored/co-authored numerous research papers, published in international and national journals and in edited books, or presented at international and national conferences, as well as six books on intelligent systems and software engineering. Vladan Devedzic is an Associate Editor of the International Journal of Technology Enhanced Learning, and a member of Editorial Boards of three other international scientific journals: International Journal of Web based Communities, International Journal of Knowledge and Learning, and Electronics and Energetics. Vladan Devedzic has given 24 tutorials at international conferences, two in-house tutorials, and has participated as a presenter in a number of national and international seminars.
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  Wei-Chang Yeh

  Research field：Network Reliability; SSO and Soft Computing; Data Mining.

  Professor, IEEE Senior Member, National Tsing Hua University, Taiwan, ROC.

  Dr. Yeh is currently a chair professor of the Department of Industrial Engineering and Engineering Management at National Tsing Hua University in Taiwan. He is a MOST fellow, CIIE (Chinese Institute of Industrial Engineers) fellow, and2021, 2022, top 2% of scientists worldwide according to Stanford University. He received his M.S. and Ph.D. from the Department of Industrial Engineering at the University of Texas at Arlington. The majority of his current research and future work are focused around algorithms, including exact solution methods and soft computing to all kinds of network reliability problems and optimization problems (wireless sensor network, cloud computing, IoT, big data, energy), etc. He has published more than 320 research papers in highly ranked journals and conference papers and has been awarded the Outstanding Research Award twice, the Distinguished Scholars Research Project once, and an Overseas Research Fellowship twice by the Ministry of Science and Technology in Taiwan. He has been invited to serve as an Associate Editor of the two top reliability-related journals, namely, the IEEE Transactions on Reliability and Reliability Engineering & System Safety. He proposed a novel soft computing algorithm called the Simplified Swarm Optimization (SSO) and theBinary-Addition-Tree Algorithm (BAT) demonstrated the simplicity, effectiveness, and efficiency of his SSO and BAT for solving NP-hard problems. He has been granted 57 patents and earns an International Fellow, the Guoguang Invention Medal as well as the titles of Outstanding Inventor of Taiwan and Doctor of Erudition, by the Chinese Innovation and Invention Society.
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  Anand Nayyar

  Research field：Wireless Sensor Networks; Internet of Things; Swarm Intelligence; Cloud Computing; Artificial Intelligence; Drones; Blockchain; Cyber Security; Healthcare Informatics; Big Data and Wireless Communications.

  Professor, IEEE/ACM Senior Member, Duy Tan University, Vietnam.

  Dr. Anand Nayyar received Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks, Swarm Intelligence and Network Simulation. He is currently working in School of Computer Science-Duy Tan University, Da Nang, Vietnam as Professor, Scientist, Vice-Chairman (Research) and Director- IoT and Intelligent Systems Lab. A Certified Professional with 125+ Professional certifications from CISCO, Microsoft, Amazon, EC-Council, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Published more than 175+ Research Papers in various High-Quality ISI-SCI/SCIE/SSCI Impact Factor- Q1, Q2, Q3, Q4 Journals cum Scopus/ESCI indexed Journals, 70+ Papers in International Conferences indexed with Springer, IEEE and ACM Digital Library, 40+ Book Chapters in various SCOPUS/WEB OF SCIENCE Indexed Books with Springer, CRC Press, Wiley, IET, Elsevier with Citations: 11000+, H-Index: 55 and I-Index: 200. Member of more than 60+ Associations as Senior and Life Member like: IEEE (Senior Member) and ACM (Senior Member). He has authored/co-authored cum Edited 50+ Books of Computer Science. Associated with more than 600+ International Conferences as Programme Committee/Chair/Advisory Board/Review Board member. He has 18 Australian Patents, 7 German Patents, 4 Japanese Patents, 34 Indian Design cum Utility Patents, 8 UK Patents, 1 USA Patent, 3 Indian Copyrights and 2 Canadian Copyrights to his credit in the area of Wireless Communications, Artificial Intelligence, Cloud Computing, IoT, Healthcare, Drones, Robotics and Image Processing. Awarded 44 Awards for Teaching and Research—Young Scientist, Best Scientist, Best Senior Scientist, Asia Top 50 Academicians and Researchers, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching, Best Senior Scientist Award, DTU Best Professor and Researcher Award- 2019, 2020-2021, 2022, Distinguished Scientist Award by National University of Singapore, Obada Prize 2023 and many more. He is listed in Top 2% Scientists as per Stanford University (2020, 2021, 2022) , Ad Index (Rank No:1 Duy Tan University, Rank No:1 Computer Science in Viet Nam) and Listed on Research.com (Top Scientist of Computer Science in Viet Nam- National Ranking: 2; D-Index: 31). He is acting as Associate Editor for Wireless Networks (Springer), Computer Communications (Elsevier), International Journal of Sensor Networks (IJSNET) (Inderscience), Frontiers in Computer Science, PeerJ Computer Science, Human Centric Computing and Information Sciences (HCIS), Tech Science Press- IASC, Computers Materials and Continua (CMC), IET-Quantum Communications, IET Wireless Sensor Systems, IET Networks, IJDST, IJISP, IJCINI, IJGC, IJSIR. He is acting as Managing Editor of IGI-Global Journal, USA titled “International Journal of Knowledge and Systems Science (IJKSS)” and Editor-in-Chief of IGI-Global, USA Journal titled “International Journal of Smart Vehicles and Smart Transportation (IJSVST)”. He has reviewed more than 2500+ Articles for diverse Web of Science and Scopus Indexed Journals. He is currently researching in the area of Wireless Sensor Networks, Internet of Things, Swarm Intelligence, Cloud Computing, Artificial Intelligence, Drones, Blockchain, Cyber Security, Healthcare Informatics, Big Data and Wireless Communications.
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  Xiangjie Kong

  Research field：Big Data; Network Science and Computational Social Science.

  Professor, IEEE Senior Member/ACM Member, Zhejiang University of Technoligy, China.

  Dr. Xiangjie Kong is currently a Full Professor in the College of Computer Science & Technology, Zhejiang University of Technology (ZJUT), China. Previously, he was an Associate Professor in School of Software, Dalian University of Technology (DUT), China, where he was the Head of the Department of Cyber Engineering. He is the Founding Director of City Science of Social Computing Lab (The CSSC Lab). He is/was on the Editorial Boards of 6 International journals. He has served as the General Co-Chair, Workshop Chair, Publicity Chair or Program Committee Member of over 30 conferences. Dr. Kong has authored/co-authored over 140 scientific papers in international journals and conferences. His research has been reported by Nature Index and other medias. He has been invited as Reviewers for numerous prestigious journals. Dr. Kong has authored/co-authored three books (in Chinese). He has contributed to the development of 14 copyrighted software systems and 20 filed patents. He is named in the2019 and 2020 world’s top 2% of Scientists List published by Stanford University. Dr. Kong received IEEE Vehicular Technology Society 2020 Best Land Transportation Paper Award, and The Natural Science Fund of Zhejiang Province for Distinguished Young Scholars. He has been invited as Keynote Speaker at 2 international conferences, and delivered a number of Invited Talks at international conferences and many universities worldwide. His research interests include big data, network science, and computational social science. He is a Distinguished Member of CCF, a Senior Member of IEEE, a Full Member of Sigma Xi, and a Member of ACM.
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  Madihah Mohd Saudi

  Research field：Malware; Mobile Security; Data Privacy.

  Professor, Universiti Sains Islam Malaysia, Malaysia.

  Professor Madihah Mohd Saudi is a pioneering force in cybersecurity and education. As a Professor in the Information Security & Assurance (ISA) Programme, Faculty of Science and Technology (FST) at Universiti Sains Islam Malaysia (USIM), Malaysia, she drives innovation in both realms. Her tenure as USIM's former Chief Information Officer underscores her visionary integration of technology and education. With a remarkable career spanning over 20 years, Prof. Madihah has authored numerous books, strategic plans, and impactful journal papers. She holds esteemed positions worldwide, including Honorary Visiting Research Fellow at the University of Bristol's Cyber Security Group, United Kingdom and Visiting Professor roles at prominent institutions in Indonesia and Uzbekistan. A member of influential organizations like IEEE Computer Society, she excels in cybersecurity and machine learning. Her educational journey, from a BSc (Hons) in Computer Science to a PhD in Computer Security, combined with certifications like GSEC and CEH, reflects her commitment to expertise. Prof. Madihah's influence resonates across borders, shaping a brighter future in cybersecurity and education. Her legacy of knowledge, mentorship, and global collaboration continues to guide aspiring minds and professionals alike.
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  Yuchen Jiang

  Research field：Data-driven Fault Diagnosis; Security Monitoring and Defense; Industrial Cyber Physical Systems.

  Associate Professor, Harbin Institute of Technology, China.

  Yuchen Jiang, Ph.D., is an Associate Professor and Doctoral Supervisor at Harbin Institute of Technology. He has authored/co-authored over 50 SCI journal articles. He is a member of the "Fault Diagnosis and Safety of Technical Process" Professional Committee and the "Process Control" Professional Committee of the Chinese Association of Automation, a member of the "Data Driven Control and Monitoring" Technical Committee and the "Industrial Cyber-Physical Systems" Technical Committee of the IEEE Industrial Electronics Society, and a Senior Member of IEEE. He serves as an editorial board member for top journals such as IEEE Transactions on Industrial Informatics and IEEE Transactions on Industrial Cyber Physical Systems.