2024 International Conference on Artificial Intelligence and Digital Libraries (AIDL 2024)

Speakers

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Speakers

Prof. Ching Yee Suen,

IEEE Life Fellow, RSC Fellow, IAPR Fellow

Concordia University, Canada

Research areas: Computational linguistics, Computer analysis and recognition of documents, Detection of fake coins, Design of license plates for automobiles, Human personality, Facial Beauty.

Introduction: Dr. Ching Y. Suen is the Founder and Co-Director of CENPARMI and the Concordia Honorary Chair on AI & Pattern Recognition. He received his Ph.D. degree from UBC Vancouver) and his Master's degree from the University of Hong Kong. He has served as the Chairman of the Department of Computer Science and as the Associate Dean (Research) of the Faculty of Engineering and Computer Science of Concordia University.

Dr. Suen has published 5 conference proceedings, 16 books and more than 550 papers, and many of them have been widely cited while the ideas in others have been applied in practical environments involving handwriting recognition, thinning methodologies, font analysis and multiple classifiers. Dr. Suen is the recipient of numerous awards, including IAPR 2020 King-Sun Fu Prize (highest honour in the field of Pattern Recognition), Elsevier Pattern Recognition Journal Award of Excellence (2016), Gold Medal from the University of Bari (Italy 2012), the IAPR ICDAR Award (2005), the ITAC/NSERC national award (1993), and the "Concordia Lifetime Research Achievement" and "Concordia Fellow" awards (2008 and 1998 respectively), and the "Teaching Excellence Award" given by the Concordia Council of Student Life in 1995.

Prof. Suen is a fellow of the IEEE (since 1986), IAPR (1994), and the Academy of Sciences of the Royal Society of Canada (1995). Currently, he is the Emeritus Editor-in-Chief of the journal of Pattern Recognition, an Adviser or Associate Editor of 5 other journals, and Editor of a new book series on Language Processing and Pattern Recognition.

Prof. Erik Cambria,

IEEE Fellow

Nanyang Technological University, Singapore

Research areas: Neurosymbolic AI, Sentic computing, Sentiment analysis, Commonsense reasoning, Natural language understanding

Erik Cambria is a Professor at Nanyang Technological University, where he also holds the appointment of Provost Chair in Computer Science and Engineering, and Founder of several AI companies, such as SenticNet, offering B2B sentiment analysis services, and finaXai (https://finax.ai), providing fully explainable financial insights. Prior to moving to Singapore, he worked at Microsoft Research Asia (Beijing) and HP Labs India (Bangalore), after earning his PhD through a joint program between the University of Stirling (UK) and MIT Media Lab (USA). Today, his research focuses on neurosymbolic AI for interpretable, trustworthy, and explainable affective computing in domains like social media monitoring, financial forecasting, and AI for social good. He is ranked in Clarivate's Highly Cited Researchers List of World's Top 1% Scientists, is recipient of many awards, e.g., IEEE Outstanding Early Career, was listed among the AI's 10 to Watch, and was featured in Forbes as one of the 5 People Building Our AI Future. He is an IEEE Fellow, Associate Editor of various top-tier AI journals, e.g., Information Fusion and IEEE Transactions on Affective Computing, and is involved in several international conferences as keynote speaker, program chair and committee member.