Keynote Speakers
Assoc. Prof. Vincent (Cheng Siong) Lee, IEEE Senior Member, Monash University, Australia
Research Areas: Translation, Agentic AI; Multimodal LLM/ChatGPT; Signal and Information Processing; Climate Financial Systems; Educational Data Mining; and Fraud Analytics.
Homepage: https://research.monash.edu/en/persons/vincent-lee
Biography: Professor Vincent (Cheng Siong) Lee FCSI(CISI), FFIN(FinSIA), FIEAust, CPEng, NER, APEC Engineer, IntPE(Aust), IEEE Senior Member, serves as a D1 Associate Professor (equivalent to US full professor) in Monash University’s Data Science & AI Department, with 32 years of academic experience across institutions (including Monash, Swinburne). Prior to academia, he held 12+ years of industry roles (e.g., Jardine Parrish, Shangri-La Group), managing multi-million-dollar projects. His research spans AI/ML, digital health, fintech, and cybersecurity, with 200+ publications in Q1 journals (IEEE Transactions, Neurocomputing) and CORE A* conferences. He has secured 22 competitive grants (ARC, A*STAR), supervised 30 PhD students and over 100 master’s students, and won the 2016 Monash IT Dean’s Excellent Supervision Award. He also serves as an Associate Editor for Q1 journals and leads committees for top IEEE/ACM conferences.
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Prof. Jianping Gou, IEEE Senior Member, Southwest University, China
Research Areas: Research in Artificial Intelligence, Machine Learning, and Pattern Recognition, with current focus on Applied Research in Large Model Technology, Smart Agriculture, and Smart Healthcare.
Homepage: https://cis.swu.edu.cn/info/1013/4161.htm
Biography: Professor Gou Jianping, Ph.D. in Engineering, Postdoctoral Researcher at the University of Sydney, Professor, and Doctoral Supervisor. His main research areas include artificial intelligence, machine learning, and pattern recognition, with current focus on large model technology, as well as applied research in smart agriculture and smart healthcare. He has published more than 150 academic papers in domestic and international journals and conferences such as IJCV and IEEE Transactions, with over 100 of them indexed by SCI. Among these, there are 5 highly cited papers, 1 hot paper, one paper with over 4,700 Google Scholar citations, and one paper that has been continuously ranked in the ESI Highly Cited Papers list for 40 consecutive times. He has presided over more than 10 projects, including national natural science foundation general projects and youth projects, as well as provincial and ministerial-level projects. He has been authorized nearly 20 national invention patents. He has won the First Prize and Third Prize for Excellent Papers at the Sichuan-Chongqing Science and Technology Academic Conference, the Third Prize for Jiangsu Science and Technology, and the Third Prize for Hospital Scientific and Technological Innovation from the Chinese Hospital Association. He was selected as an Outstanding Young Backbone Teacher Cultivation Candidate of the Blue Project in Jiangsu Province, a Candidate for the China Postdoctoral International Exchange Program, and a Supporter of the Chongqing Overseas Returnees’ Entrepreneurship and Innovation Support Program.
Prof. Xiaofang Yuan, Hunan University, China
Research Areas: Artificial Intelligence, Robot Drive Control, Unmanned System Technology.
Homepage: https://robotics.hnu.edu.cn/info/1176/3088.htm
Biography: Professor Yuan Xiaofang, Ph.D. in Engineering, is a doctoral supervisor at Hunan University, a visiting scholar at the University of Kent in the United Kingdom, and a researcher at the National Engineering Research Center for Robot Vision Perception and Control Technology. He serves as a council member of the Chinese Association for Artificial Intelligence, deputy director of the Specialized Committee on Intelligent Testing and Motion Control of the Chinese Association for Artificial Intelligence, and a committee member of the Robotics Specialized Committee of the Chinese Society of Mechanical Engineering. His main research areas include artificial intelligence, robot drive control, and unmanned system technology. He has presided over more than 20 scientific research projects, including two key research projects under the National Science and Technology Ministry’s "Intelligent Robot" and "Industrial Software" Key R&D Programs, and four National Natural Science Foundation projects. He has been awarded one second-class National Science and Technology Progress Prize and six provincial and ministerial-level science and technology awards. He has published more than 70 SCI academic papers and been granted 30 invention patents.
Prof. Thomas Hanne, University of Applied Sciences and Arts Northwestern Switzerland (FHNW), Switzerland
Research Areas: Computational Intelligence, Applications of Business Information Systems, Multi-Objective Evolutionary Algorithms, Metaheuristic Algorithms, Operations Research.
Homepage: https://www.fhnw.ch/en/people/thomas-hanne
Biography: Professor Thomas Hanne holds degrees in Economics and Computer Science, a Ph.D. in Economics, and has academic and SAP certifications. He is a Professor at the University of Applied Sciences and Arts Northwestern Switzerland, Head of the Competence Center for Systems Engineering, and Honorary Research Chair Professor at two Indian universities. His research focuses on operations research, computational intelligence, and logistics optimization. He has led numerous EU-funded and Swiss national projects, published over 280 papers in top-tier journals and conferences, edited 33 books, and served on multiple editorial boards.
Prof. Ljiljana Trajkovic, IEEE Life Fellow, Simon Fraser University, Canada
Research Areas: Communication Networks, Computer-Aided Circuit Analysis and Design, and Nonlinear Circuits and Dynamical Systems.
Homepage: http://www.ensc.sfu.ca/~ljilja
Biography: Professor Ljiljana Trajkovic of Simon Fraser University holds degrees from the University of Pristina (Dipl.-Ing.), Syracuse University (M.Sc.), and UCLA (Ph.D.). Her career includes roles at Bell Communications Research, AT&T Bell Labs, and an NSF Visiting Professorship at UC Berkeley. Her research focuses on communication networks, nonlinear circuits, and computer-aided circuit design. An IEEE Life Fellow, she has received honors including the 2021 I2CICC Life Achievement Award, 2020 IEEE SMC Wohl Career Award, and multiple section and service awards. She has held key IEEE leadership roles (e.g., SMC president) and editorial positions (e.g., Editor-in-Chief of IEEE Transactions on Human-Machine Systems), making extensive contributions to her fields.
Prof. Goutam Chakraborty, IEEE Senior Member, Iwate Prefectural University, Japan
Research Areas: Artificial Intelligence Integration, Intelligent Optimization, and Computer Network Technology, with Potential Applications in Intelligent Systems, Mobile Communications.
Homepage: http://www.chishiki.soft.iwate-pu.ac.jp/~goutam/