Keynote Speaker 1
Prof Vinod Achutavarrier Prasad
Title: Brain-Machine Interface System – Overview, Applications and Challenges.
Brief Biography:
Dr. Vinod A Prasad is a Professor and Cluster Director (Head) of Infocomm Technology Cluster (Department), Singapore Institute of Technology (SIT). He is also a Visiting Senior Academician at SingHealth (Singapore Health Services) and a Visiting Professor at the Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India. Before joining SIT in May 2022, Vinod was a Professor of Engineering Practice at The Hong Kong University of Science and Technology, Hong Kong, a Professor at Indian Institute of Technology (IIT) and an Associate Professor (tenured) at Nanyang Technological University (NTU), Singapore.
Vinod’s research interests include digital signal processing, low power, reconfigurable circuits & systems for wireless communications, Brain Machine Interface and its applications. He has published over 280 papers in refereed international journals and international conferences, supervised and graduated 20 Ph.D. students, successfully completed research projects amounting to $5 million funded by various agencies. He served as an Associate Editor of five journals – IEEE Transactions on Human-Machine Systems, IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Transactions on Cognitive and Developmental Systems, IEEE Systems Man & Cybernetics Magazine, and Circuits, Systems & Signal Processing (Springer). He was the Co-Chair of Brain-Machine Interface Systems Committee of IEEE Systems, Man & Cybernetics Society which won the award of the ‘Most Active Technical Committee in Human-Machine Systems’ of IEEE Systems, Man and Cybernetics Society in three consecutive years – 2015, 2016 and 2017.
Keynote Speaker 2
Prof Kwok Yan Lam
Title: Cybersecurity and Data Privacy in the AI Era
Abstract:
The rapid advancement and integration of Artificial Intelligence across industries bring transformative benefits, but also unprecedented challenges in cybersecurity and data privacy. From a cybersecurity perspective, malicious actors are developing sophisticated methods to attack, manipulate, or exploit AI systems, often compromising essential safety requirements such as reliability, fairness, and accountability. How to leverage large language models (LLMs) for defensive cybersecurity becomes crucial in enabling AI to detect, prevent, and mitigate potential threats. From a data privacy perspective, AI raises pressing questions: how can users protect their data while interacting with AI systems, and how can misused data be removed, forgotten, or corrected to ensure responsible AI behaviour? This keynote will explore the evolving landscape of AI cybersecurity and data privacy, examining emerging threats, defensive strategies, and best practices to pave the way toward safe, trustworthy, and responsible AI deployment.
Brief Biography:
Professor Lam is the Associate Vice President (Strategy and Partnerships) and Professor in the College of Computing and Data Science at the Nanyang Technological University (NTU), Singapore. He is currently also the Executive Director of the Digital Trust Centre Singapore (DTC), which is also designated the Singapore AI Safety Institute.
From August 2020, Professor Lam was also on part-time secondment to the INTERPOL as a Consultant at Cyber and New Technology Innovation. Professor has been a board member of International Telecommunication Union (ITU)’s Academic Advisory Body on Emerging Technologies since September 2025. He served as the Director of the Strategic Centre for Research in Privacy-Preserving Technologies and Systems (SCRiPTS) 2018-2025, Director of NTU’s SPIRIT Smart Nation Research Centre 2016-2025, Director of the Nanyang Technopreneurship Center 2019-2022, and as Program Chair (Secure Community) of the Graduate College at NTU 2017-2019. Professor Lam has been a Professor of the Tsinghua University, PR China (2002-2010) and a faculty member of the National University of Singapore and the University of London since 1990. He was a visiting scientist at the Isaac Newton Institute of the Cambridge University and a visiting professor at the European Institute for Systems Security.
In 2018, Professor Lam founded TAU Express Pte Ltd, an NTU start-up which specializes in AI and Data Analytics technologies for Smart Cities applications. TAU is a spin-off of the Intelligent Case Retrieval System project, a collaboration between NTU and the Singapore Supreme Court. In 1997, he founded PrivyLink International Ltd, a spin-off company of the National University of Singapore, specializing in e-security technologies for homeland security and financial systems. In 2012, he co-founded Soda Pte Ltd which won the Most Innovative Start Up Award at the RSA 2015 Conference. In 1998, he received the Singapore Foundation Award from the Japanese Chamber of Commerce and Industry in recognition of his R&D achievement in Information Security in Singapore.
Prof Lam received his B.Sc. (First Class Honours) from the University of London in 1987 and his Ph.D. from the University of Cambridge in 1990. His research interests include Distributed Systems, IoT Security Infrastructure and Cyber-Physical System Security, Distributed Protocols for Blockchain, Biometric Cryptography, Quantum Computing, Homeland Security and Cybersecurity. In 2020, he authored a Technical Report on the “Application of Quantum Computers for Law Enforcement and Security Communications” for a Singapore Government ministry. Professor Lam is the recipient of the 2022 Singapore Cybersecurity Hall of Fame Award.
