Prof. Steven Guan, Suzhou Talents-in-NeedXi'an Jiaotong-Liverpool University, ChinaTitle: Recursive Domain Decomposition for Classification Steven Guan (Sheng-Uei Guan) received his BSc. from Tsinghua University and M.Sc. Ph.D. from the University of North Carolina at Chapel Hill. He is currently an Honorary Professor at University of Liverpool also a Professor at Xian Jiaotong-Liverpool University (XJTLU). He served the head of department position at XJTLU for 4.5 years, creating the department from scratch and now in shape. Before joining XJTLU, he was a tenured professor and chair in intelligent systems at Brunel University, UK. Prof. Guan has worked in a prestigious organization for several years, serving as a design engineer, project leader, and department manager. After leaving the industry, he joined the academia for three and half years. He served as deputy director for the Computing Center and the chairman for the Department of Information Communication Technology. Later he joined the Electrical Computer Engineering Department at National University of Singapore as an associate professor for 8 years. Prof. Guan’s research interests include: machine learning, computational intelligence, big data analytics, mobile commerce, modeling, networking, personalization, security, coding theory, and pseudorandom number generation. He has published extensively in these areas, with 140+ journal papers and 210 book chapters or conference papers. He has chaired, delivered keynote speech for 100+ international conferences and served in 190+ international conference committees and 20+ editorial boards. There are quite a few inventions from Prof. Guan including Generalized Minimum Distance Decoding for Majority Logic Decodable Codes, Prioritized Petri Nets, Self-Modifiable Color Petri Nets, Dynamic Petri Net Model for Iterative and Interactive Distributed Multimedia Presentation, Incremental Feature Learning, Ordered Incremental Input/Output Feature Learning, Input/Output Space Partitioning for Machine Learning, Recursive Supervised Learning, Reduced Pattern Training using Pattern Distributor, Contribution Based Feature Selection, Incremental Genetic Algorithms, Incremental Multi-Objective Genetic Algorithms, Decremental Multi-objective Optimization, Multi-objective Optimization with Objective Replacement, Incremental Hyperplane Partitioning for Classification, Incremental Hyper-sphere Partitioning for Classification, Controllable Cellular Automata for Pseudorandom Number Generation, Self Programmable Cellular Automata, Configurable Cellular Automata, Layered Cellular Automata, Transformation Sequencing of Cellular Automata for Pseudorandom Number Generation, Open Communication with Self-Modifying Protocols, etc. |
Prof. Chuan QinUniversity of Shanghai for Science and Technology, ChinaTitle: Perceptual Hashing for Image Authentication Chuan Qin received his B.S. degree in electronic engineering and the M.S. degree in signal and information processing from Hefei University of Technology, Anhui, China, in 2002 and 2005, respectively, and the Ph.D. degree in signal and information processing from Shanghai University, Shanghai, China, in 2008. Since Dec. 2008, he has been with the faculty of University of Shanghai for Science and Technology, where he is currently a Professor. He was with Feng Chia University at Taiwan as a Postdoctoral Researcher from July 2010 to July 2012. His research interests include multimedia intelligent computing, AI security, data hiding and image processing in encrypted domain. He has published over 200 peer-reviewed papers in journals and conferences, such as IEEE TIP, IEEE TIFS, IEEE TMM, IEEE TCSVT, IEEE TDSC, IEEE TKDE and ACM MM. He has also published one book and held six authorized patents. He was selected as the Highly Cited Chinese Researchers by Elsevier in 2020 and the World’s Top 2% Scientists in 2020-2024. He won the Excellent Paper Awards of CIHW 2016 and ChinaMFS 2023, and the Candidate of Excellent Paper Award of IEEE IIHMSP 2014. He has served as the Associate Editor for ACM TOMM, Signal Processing (Elsevier) and Information Fusion (Elsevier). |
Dr. Aniruddha BhattacharjyaIEEE Senior Member, ACM Senior MemberBCBRBAB Intercontinental TradingSolutionsPrivate Limited, IndiaTitle: A Secure Protocol Authentication Method Based on the Strand Space Model for Internet of Things and Blockchain-Based Industrial IoT Aniruddha Bhattacharjya is a PhD Alumni of Tsinghua University. He was a PhD scholar (Chinese Government Scholarship (CGS) holder) in Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China under supervision of Prof. Xing Li. This PhD work was supported by National Basic Research Program of China (2012CB316006), and National S&T Major Project (2015ZX03002010-002) and National Natural Science Foundation of China (No. 61631013). He got full travel and conference funding from Tsinghua University's School of Information Science and Technology (SIST) and the Key Laboratory of Universal Wireless Communications (Beijing University of Posts and Telecommunications), Ministry of Education, P.R.China (No.KFKT- 2014101) and National Basic Research Program of China (2012CB316000) to present his paper in Cambridge University, UK. Department URL https://www.ee.tsinghua.edu.cn/info/1039/1186.htm He got best paper award in ACM ICC 2016, in Cambridge University, U.K. He has published 48 above International conferences and journal papers and book chapters. He has 16 years 5 months above experiences. He has a Chinese Innovation patent granted. He is Senior member of IEEE and ACM, IEEE Communication Society and IEEE Computer Society. ACM-https://awards.acm.org/award-recipients/bhattacharjya_3449132 He is the Founder Chairman and Executive Director (DIN 10414713) of BCBRBAB INTERCONTINENTAL TRADING SOLUTIONS PRIVATE LIMITED. URL : https://bcbrbabits.com He is Reviewer of 1. ACM Computing Surveys 2. IEEE Transactions on Information Forensics and Security 3. IEEE Transactions on Industrial Informatics 4. IT Professional (IEEE Computer Society) 5. IEEE Transactions on Green Communications and Networking 5. IEEE Transactions on Multimedia 6. IEEE Open Journal of the Communications Society 7. IEEE Access 8. IEEE Embedded Systems Letters (ESL) 9. IEEE Sensors Journal 10. Computers & Security 11. Future Generation Computer Systems. 12. Information Sciences 13. Blockchain: Research and Applications 14. Journal of King Saud University –Science (Elsevier) 15. Cluster Computing 16. PLOS ONE 17. Smart Science 18. MPDI Journals – I. Drones II. Sustainability III. Sensors IV. Processes V. Energies VI. Applied Sciences VII. Symmetry VIII. Electronics 19. Cybernetics and Systems 20. Malaysian Journal of Mathematical Sciences (MJMS) 21. International Journal of Computers and Applications (IJCA) 22. Discover Applied Sciences 23. Transactions on Emerging Telecommunications Technologies |