2025 International Conference on Generative Artificial Intelligence for Business (GAIB 2025)
Speakers
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Speakers

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Prof. Erik Cambria,

Nanyang Technological University, Singapore

(IEEE Fellow)


Introduction: Erik Cambria is the Founder of SenticNet, a Singapore-based company offering B2B sentiment analysis services, and a Professor at Nanyang Technological University, where he also holds the appointment of Provost Chair in Computer Science and Engineering. Prior to joining NTU, he worked at Microsoft Research Asia (Beijing) and HP Labs India (Bangalore) and earned his PhD through a joint programme between the University of Stirling and MIT Media Lab. His research focuses on neurosymbolic AI for explainable natural language processing in domains like sentiment analysis, dialogue systems, and financial forecasting. He is recipient of several awards, e.g., IEEE Outstanding Career Award, 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 many top-tier AI journals, e.g., Information Fusion and IEEE Transactions on Affective Computing, and is involved in various international conferences as keynote speaker, program chair and senior program committee member.


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Prof. Irwin King,

The Chinese University of Hong Kong, China

(IEEE Fellow, INNS Fellow, AAIA Fellow, ACM Distinguished Member)


Introduction: Professor Irwin King is a world renowned scholar in machine intelligence, currently Professor and immediate Past-chair of Computer Science & Engineering at The Chinese University of Hong Kong. With a broad range of research interests covering areas such as trustworthy AI, machine learning, social computing, AI, and data mining, Professor King is a Fellow of prestigious societies and associations, including the ACM, IEEE, INNS, AAIA, and HKIE. Over the years, he has played many leadership roles in various top conferences and societies, such as serving as the President of the International Neural Network Society, General Co-chair of conferences such as WebConf 2020, ICONIP 2020, ACML 2015, RecSys 2013, and WSDM 2011. He has also held several leading capacities in conferences such as WWW, NIPS, ICML, IJCAI, AAAI, and ICONIP.


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Prof. Ying Tan,

Peking University, China

Introduction: Ying Tan is a full professor and PhD advisor at Peking University. He is the inventor of the Fireworks Algorithm (FWA). He received his BEng, MS from Xidian University, and PhD from Southeast University, in 1985, 1988, and 1997, respectively. He worked as a professor at the Faculty of Design, Kyushu University, Japan, in 2018, at Columbia University as a senior research fellow in 2017, and at the Chinese University of Hong Kong in 1999 and 2004-2005 as a research fellow, etc. He serves as the Editor-in-Chief of IASEI Transactions on Swarm Intelligence, Research Reports on Computer Science (RRCS) and International Journal of Computational Intelligence and Pattern Recognition (IJCIPR), the Associate Editor of IEEE Transactions on Cybernetics (CYB), IEEE Transactions on Neural Networks and Learning System (NNLS), IEEE Systems, Man and Cybernetics Magazine, Neural Networks, Machine Learning with Applications, etc. He also served as an Editor of Springer’s Lecture Notes on Computer Science (LNCS) for 50+ volumes, and Guest Editor of several referred Journals, including IEEE/ACM Transactions on Computational Biology and Bioinformatics, Information Science, Neurocomputing, Natural Computing, Swarm and Evolutionary Optimization, etc. He has been the founder general chair of the ICSI International Conference series since 2010 and the DMBD conference series since 2016. He is the president of the International Association of Swarm and Evolutionary Intelligence (IASEI). He won the 2nd-Class Natural Science Award of China in 2009 and 2nd-Class Natural Science Award of Ministry of Education of China in 2019 and many best paper awards. His research interests include computational intelligence, swarm intelligence, deep neural networks, machine learning and data mining for information security and financial prediction, etc. He has published more than 380+ papers in refereed journals and conferences in these areas, and authored/co-authored 15 books, including “Fireworks Algorithm” by Springer in 2015, and “GPU based Parallel Imple.