Keynote Speakers
Professor Dr. Chang D. Yoo
Professor, School of Electrical Engineering,
Korea Advanced Institute of Science and Technology (KAIST)
Director, Artificial Intelligence & Machine Learning Lab (AIM)
Professor Chang D. Yoo is a renowned academic in Artificial Intelligence and Machine Learning at KAIST, South Korea. He holds a Ph.D. from MIT (2006) and leads the Artificial Intelligence & Machine Learning Lab (AIM). His research spans deep learning, computer vision, multimedia signal processing, speech/audio processing, and robotics. Professor Yoo has made impactful contributions to premier AI conferences including NeurIPS, CVPR, and ECCV. He is known for pioneering work in high-quality region proposal networks, graph neural networks for few-shot learning, and multimodal AI systems.
Keynote Highlight
Generative AI Revolution: Promise, Peril and the Path Forward
Generative AI has rapidly evolved from a research curiosity to a powerful force reshaping industries and society. This talk will examine the current state of generative AI, encompassing large language models and the emergence of multimodal systems that can interpret and generate text, images, and other media. We’ll also examine how diffusion models are transforming creative and scientific fields. While these technologies offer exciting opportunities, they also raise significant challenges: the energy and resource demands of development, the risks of bias and misuse, and the ethical complexities of synthetic content. This session will offer a balanced view—highlighting the promise of generative AI for innovation and sustainability, while addressing the critical concerns that must shape its future.
Professor Dr. Lam Kwok Yan
Associate Vice President (Strategy and Partnerships),
Nanyang Technological University, Singapore
Executive Director, Digital Trust Centre Singapore & Singapore AI Safety Institute
Professor Lam Kwok Yan is a leading authority in cybersecurity, digital trust, and AI safety with over three decades of academic and industry experience. He is currently Associate Vice President (Strategy and Partnerships) at Nanyang Technological University (NTU), Singapore, where he also serves as Professor at the College of Computing and Data Science. Professor Lam is Executive Director of both the Digital Trust Centre Singapore and the Singapore AI Safety Institute. He has served as a cybersecurity consultant to INTERPOL and has founded several award-winning deep-tech startups in AI and data privacy. His research spans distributed systems, quantum computing, federated learning, privacy-preserving AI, and satellite IoT security. In 2022, he was inducted into the Singapore Cybersecurity Hall of Fame.
Keynote Highlight
TrustTech for Enabling Digital Transformation and AI Adoption
The rapid adoption of digitalization in almost all aspects of economic activities has led to serious concerns in security, privacy, transparency and fairness issues of digitalized systems. These issues will result in negative impacts on people’s trust in digitalization, which need to be addressed in order for organizations to reap the benefits of digitalization. The typical value proposition of digitalization such as elevated operational efficiency through automation and enhanced customer services through customer analytics require the collection, storage and processing of massive amount of user data, which are typical cause for data governance issues and concerns on cybersecurity, privacy and data misuses. AI-enabled processing and decision-making also lead to concerns on algorithm bias and distrust in digitalization. In this talk, we will brief review the motivation of digitalization, discuss the trust issues in digitalization, and introduce the emerging areas of Trust Technology which is a key enabler in digital transformation and for developing and growing the digital economy.
IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE INNOVATION 2025 (AI-SI 2025)
Theme: Shaping the Future with Intelligent Solutions
Organized by: Faculty of Artificial Intelligence, Universiti Teknologi Malaysia Kuala Lumpur