Prof. Jochen Wirtz
National University of Singapore (NUS), Singapore
Speech Title: Agentic AI Meets Service Robots: Implications for Firms, Markets & Society
Abstract: GenAI and its large language models (LLMs), large behavioral models (LBMs), agentic AI, and their no-code feature will transform service robots in physical face-to-face service encounters, automate more complex service tasks, democratize robot training, and also cause critical ethical challenges. This talk will explore the implications of GenAI-powered service robots for firms, markets and society.
Biography: Jochen Wirtz is Vice Dean MBA Programs and Professor of Marketing at the National University of Singapore. He has published over 200 academic articles and books, including Agentic Artificial Intelligence: Harnessing AI Agents to Reinvent Business, Work and Life (2025), Intelligent Automation: Learn How to Harness Artificial Intelligence to Boost Business & Make Our World More Human (2021), Services Marketing: People, Technology, Strategy (2022, 9th edition), and Essentials of Services Marketing (2023, 4th edition). He is the winner of over 60 awards including the Christopher Lovelock Career Contributions to the Services Discipline Award and the Christian Grönroos Service Research Award. Download his recent work from JochenWirtz.com and follow his work on ResearchGate (https://www.researchgate.net/profile/Jochen_Wirtz) and LinkedIn (https://www.linkedin.com/in/jochenwirtz
Assoc. Prof. Mehul Motani (IEEE Fellow, AAIA Fellow)
National University of Singapore (NUS), Singapore
Biography: Mehul Motani received the B.E. degree from Cooper Union, the M.S. degree from Syracuse University, and the Ph.D. degree from Cornell University. He is currently a faculty member in the ECE Department at the National University of Singapore and a Visiting Research Collaborator at Princeton University. Previously, he was a Visiting Fellow at Princeton University, a Research Scientist at the Institute for Infocomm Research in Singapore and a Systems Engineer at Lockheed Martin in Syracuse, NY. Dr. Motani was the recipient of the Intel Foundation Fellowship for his Ph.D. research, the NUS Annual Teaching Excellence Award, the NUS Faculty of Engineering Innovative Teaching Award, and the NUS Faculty of Engineering Teaching Honours List Award. His teaching and research interests include Information & Coding Theory, Artificial Intelligence & Machine Learning, Biomedical & Health Informatics,, Wireless Ad-hoc & Sensor Networks, Internet-of-Things, and 5G. He is a Fellow of the IEEE and AAIA. He has served as the Secretary of the IEEE Information Theory Society Board of Governors, and as an Associate Editor for both the IEEE Transactions on Information Theory and the IEEE Transactions on Communications.
Prof. Andrew Beng Jin Teoh
Yonsei University, South Korea
Biography: Andrew Beng Jin Teoh received his BEng (Electronic) in 1999 and Ph.D. degree in 2003 from the National University of Malaysia. He is currently a full professor in the Department of Electrical and Electronic Engineering at Yonsei University, South Korea. His research, supported by the National Research Foundation of Korea, Brain Pool, Microsoft Research Asia (MSRA), and the Electronics and Telecommunications Research Institute (ETRI), spans machine learning, AI, biometrics, and biometric security. He has authored approximately 400 peer-reviewed publications in leading international journals, conferences, and book chapters, including TPAMI, TIP, CVPR, ICCV, ECCV, and ACM MM, and has published two books. He has been listed among the world’s top 2% scientists by Elsevier and Stanford University. His editorial service includes Guest Editor of IEEE Signal Processing Magazine, Senior Associate Editor of IEEE Transactions on Information Forensics and Security, Associate Editor of the IEEE Biometrics Compendium and Elsevier’s Machine Learning with Applications, and Editor-in-Chief of the IEEE Biometrics Council Newsletter.
Prof. Chee Seng Chan
Universiti Malaya, Malaysia
Biography: Chee Seng Chan is currently a full Professor at Universiti Malaya, Malaysia. His research interests include computer vision, machine learning, and trustworthy artificial intelligence. He leads an active research team whose work has been published in leading international venues such as CVPR and NeurIPS. He is among the key architects of ILMU, Malaysia’s first sovereign large language model, and has contributed to major initiatives, including Ryt AI for Ryt Bank, the world's first AI-powered digital bank. Dr. Chan has received several recognitions, including the Top Research Scientists Malaysia Award and the Hitachi Research Fellowship. He serves as an Associate Editor for Pattern Recognition, IEEE Transactions on Circuits and Systems for Video Technology and has held leadership roles in major international conferences, including the General co-chair for IEEE VCIP 2013, ACPR 2015, IEEE MMSP 2019, and ACM MMAsia 2025 and 2026. From 2020 to 2022, he served at the Ministry of Science, Technology and Innovation, Malaysia, as Undersecretary in the Division of Data Strategic and Foresight.