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Established in 2015 in collaboration with MIT Sloan Management, our vision is to be a global knowledge hub, with regional insights from Asia and the emerging world.
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Home » Faculty & Research » Resident Faculty » David Asirvatham
Professor of Practice, AI & Technology,
Head of Information Technology
AI & Technology
Professor Ts. Dr. David Asirvatham is Professor of Practice, AI & Technology and Head, Information Technology at the Asia School of Business (ASB), which was established in collaboration with MIT Sloan. He has been in the academic leadership and CIO roles for 30 years. His areas of expertise include Digital Neural Network, E-Learning Technologies, ICT Project Management, Multimedia Content Creation and AI.
Prior to joining ASB, he was the Executive Dean for the Faculty of Innovation and Technology at Taylor’s University, Director of the Centre of Information Technology at the University of Malaya, and CIO/Senior Director of the Centre for Information Technology at Multimedia University.
He has held numerous posts, including Associate Dean for Faculty of Information Technology (Multimedia University), Project Manager for the Multimedia and IT Infrastructure Development for a university campus (US$14 million project), and SAP Advisory for High Education Council (Germany).
He was the Chairman of the ICT Human Capital Development for 11th Malaysia Plan 2016-2020, Secretary for the Artificial Intelligence Society Malaysia, President of the Data Science Association (Malaysia) 2022-2025, Country Representative for the Asia E-learning Network (Japan), Steering Committee Member for the Implementation of E-Learning for Malaysian Public Sector, and Member of the Malaysian Grid for Learning’s Standards Expert Group 2003-2004.
He also worked on various ICT Projects and conducted workshops in South Africa, Sudan, Iran, Ghana, Kenya, Vietnam, Maldives, Bangladesh (World Bank Project), UAE, India, and Brunei. David completed his Ph.D. from Multimedia University, M.Sc. (Digital System) from Brunel University (U.K.), and B.Sc. (Hons) Ed., and Post-Graduate Diploma in Computer Science from the University of Malaya. He has published over 70 academic papers and graduated 10 PhD students.
Professor Ts. Dr. David Asirvatham is Professor of Practice, AI & Technology and Head, Information Technology at the Asia School of Business (ASB), which was established in collaboration with MIT Sloan. He has been in the academic leadership and CIO roles for 30 years. His areas of expertise include Digital Neural Network, E-Learning Technologies, ICT Project Management, Multimedia Content Creation and AI.
Prior to joining ASB, he was the Executive Dean for the Faculty of Innovation and Technology at Taylor’s University, Director of the Centre of Information Technology at the University of Malaya, and CIO/Senior Director of the Centre for Information Technology at Multimedia University.
He has held numerous posts, including Associate Dean for Faculty of Information Technology (Multimedia University), Project Manager for the Multimedia and IT Infrastructure Development for a university campus (US$14 million project), and SAP Advisory for High Education Council (Germany).
He was the Chairman of the ICT Human Capital Development for 11th Malaysia Plan 2016-2020, Secretary for the Artificial Intelligence Society Malaysia, President of the Data Science Association (Malaysia) 2022-2025, Country Representative for the Asia E-learning Network (Japan), Steering Committee Member for the Implementation of E-Learning for Malaysian Public Sector, and Member of the Malaysian Grid for Learning’s Standards Expert Group 2003-2004.
He also worked on various ICT Projects and conducted workshops in South Africa, Sudan, Iran, Ghana, Kenya, Vietnam, Maldives, Bangladesh (World Bank Project), UAE, India, and Brunei. David completed his Ph.D. from Multimedia University, M.Sc. (Digital System) from Brunel University (U.K.), and B.Sc. (Hons) Ed., and Post-Graduate Diploma in Computer Science from the University of Malaya. He has published over 70 academic papers and graduated 10 PhD students.