Keynote Speakers
ICIAI 2025 Keynote Speakers
Prof. Erik Cambria - Fellow of IEEE
Nanyang Technological University, Singapore
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 (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.
IEEE Fellow, Highly Cited Researcher (2022)
neurosymbolic AI, sentic computing, sentiment analysis, commonsense reasoning, natural language understanding
Prof. Jinjun Chen - Fellow of IEEE
Swinburne University of Technology, Australia
Dr 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).
IEEE Fellow, Highly Cited Researcher (2021)
Cloud computing, Scalable privacy protection, Data privacy and security, Distributed computing