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Prof. Jin-Chuan DUAN 段錦泉院士
Prof. Jin-Chuan DUAN 段錦泉院士
Professor Duan is the Chairman and a co-founder of Criat (https://www.criat.sg/). He is a professor emeritus of the National University of Singapore (NUS). Prior to his retirement in June 2023, Professor Duan helmed the Asian Institute of Digital Finance and held the Jardine Cycle & Carriage Professorship. Among his many accomplishments, the Credit Research Initiative (CRI) stands out. CRI is a public good undertaking via developing and maintaining a digital platform for assessing credit risks. Since its launch in 2009, CRI has been continuously providing daily updated individual corporate default probabilities on a global scale. A world-renowned expert on derivatives pricing and credit risk analytics, Professor Duan is an academician of Academia Sinica and a fellow of the Society for Financial Econometrics and serves on the advisory council of the International Association of Credit Portfolio Managers, among others. He received a PhD in Finance from the University of Wisconsin-Madison, once helmed the Risk Management Institute at NUS, held the Manulife Chair Professorship at the University of Toronto, and taught at the Hong Kong University Science & Technology and McGill University.
Prof. Hiroaki Ogata
Prof. Hiroaki Ogata
Hiroaki Ogata is a Professor at Learning and Educational Technologies Research Unit, the Academic Center for Computing and Media Studies, and the Graduate School of Informatics at Kyoto University, Japan. His research interests include Learning Analytics, Evidence-Based Education, Educational data mining, Educational Data Science, Computer Supported Ubiquitous and Mobile Learning, CSCL (Computer Supported Collaborative Learning), CSCW (Computer Supported Collaborative Writing), CALL (Computer Assisted Language Learning), CSSN (Computer Supported Social Networking), Knowledge Awareness, Personalized, adaptive and smart learning environments. Currently, he is leading a research project on development of infrastructure for learning analytics and educational data science.
He was a visiting researcher at Center for Lifelong Learning and Design at University of Colorado at Boulder, and a researcher for PRESTO at Japan Science and Technology Agency. He has published more than 400 peer-reviewed papers including SSCI Journals and international conferences. He has received APSCE Distinguished Researcher Award in 2014, and several Best Paper Awards.
Prof. Tatsunori Matsui
Prof. Tatsunori Matsui
Dr. Matsui's contributions in Computers in Education, especially in artificial intelligence in education include mathematical modeling of problem-solving processes, mathematical method for educational evaluation, machine learning in adaptive learning. Furthermore, recently, he is contributing to integrated research of computer in education and KANSEI (sensitivity) informatics include ontology for academic emotions, learning analytics, affective computing for learning, KANSEI informatics for learning and human computer/agent/robot interaction in learning environment.
His research activities are rich in originality, and have impacted the flow of research on artificial intelligence in education and KANSEI informatics. Because of the originality and impact, he received three Best Paper Awards from major academic societies (Japan Society for Educational Technology (1996), Japanese Society for Information and Systems in Education (2002, 2012)). Furthermore, he received many Technical Committee Excellence Awards and Best/Excellent Presentation Awards.
Dr. Micheline Ayoub
Dr. Micheline Ayoub
Micheline Ayoub, MSc, PhD is the Executive Director of Sustainability in the Digital Age and the Future Earth Montreal Hub.
Micheline She has worked in various settings, including the federal government, academic research and private entities. Hence, she brings over 20 years of experience promoting science-based evidence and cutting-edge technology on a local and international scale. Her expertise ranges from intellectual property management, data management and governance, to AI for multi-omic data analysis in sustainable agriculture. She is known for her capacity of identifying relevant synergies and forging effective partnerships with multiple national and international stakeholders based on cooperation and shared goals.
Dr. Ayoub holds a PhD in Plant Breeding and a Master of Science in Agronomy, both from McGill University. She sits on the board of several science organizations including the Canadian Agri-Food Automation & Intelligence Network, Zone Agtech and BioMass Canada. Dr Ayoub also serves as a reviewer for the Québec Society of Phytopathology graduate students applications and as a judge for various 3 minute thesis competitions.
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