Prof. Erik CambriaErik 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 (https://business.sentic.net), 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.
Prof. Jinjun ChenDr Jinjun Chen is a Professor from Swinburne University of Technology, Australia. He is the Deputy Director of Swinburne Data Science Research Institute. He holds a PhD in Information Technology from Swinburne University of Technology, Australia. His main research interests include distributed computing, e.g. distributed systems, cloud computing, data privacy and security, scalable and efficient data storage and processing in cloud (privacy processing), data systems, and related various research topics. His research results have been published in more than 200 papers in international journals and conferences, including various IEEE/ACM Transactions. In 2022, Professor Chen was elected as a member of the prestigious Academia Europaea. He has received the 2020 Research Excellence Award (School of Software and Electrical Engineering, Swinburne); UTS Vice-Chancellor's Awards for Research Excellence Highly Commended (2014), UTS Vice-Chancellor's Awards for Research Excellence Finalist (2013), Swinburne Vice-Chancellor’s Research Award (ECR) (2008), IEEE Computer Society Outstanding Leadership Award (2008-2009) and (2010-2011), IEEE Computer Society Service Award (2007), Swinburne Faculty of ICT Research Thesis Excellence Award (2007). He served as an Associate Editor for IEEE Transactions on Computers, IEEE Transactions on Sustainable Computing, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Cloud Computing, ACM Computing Surveys, as well as other journals such as Journal of Computer and System Sciences, Concurrency and Computatin: Practice and Experience. He was the Chair of IEEE Computer Society’s Technical Committee on Scalable Computing (TCSC).
Prof. Tien-Tsin Wong
Tien-Tsin Wong is Professor of Generative AI in the Department of Data Science and Artificial Intelligence at Monash University, Australia. Prior to this, he was a professor in the Computer Science & Engineering Department of the Chinese University of Hong Kong from 1999 to 2024. He received his B.Sc., M.Phil., and Ph.D. degrees in Computer Science from the Chinese University of Hong Kong in 1992, 1994, and 1998, respectively. He received the IEEE Transactions on Multimedia Prize Paper Award 2005 and the Young Researcher Award 2004. He has served an associate editors for IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Computational Visual Media, and The Visual Computer.
He is known with his works in Generative AI for Video Generation, Computational Manga, Image-based Relighting, Ambient Occlusion (Dust Accumulation Simulation), Sphere Maps, and GPU techniques. His recent works include Dynamicrafter, Tooncrafter, MotionCanvas and VLIPP. More information about him can be found at https://ttwong12.github.io/