Professor Dr. David Asirvatham
Executive Dean, Faculty of Build Environment, Engineering, Technology and Design , Taylors University, Malaysia
Dr. David Asirvatham is currently the Executive Dean for the Faculty of Built Environment, Engineering, Technology and Design, Taylor’s University, Malaysia. Prior to this, he was the Director for the Centre of Information Technology at University of Malaya. He has held numerous posts such the 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), Finance Committee for Multimedia University, SAP Advisory Council, Consultant for e-University Project and many more. Dr. 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 University of Malaya. He has been lecturing as well as managing ICT projects for the past 30 years. His area of expertise will include Neural Network, E-Learning, ICT Project Management, Multimedia Content Development and recently he has done some work on Big Data Analytics and AI.
At the national level, he was the Chairman, ICT Human Capital Development for 11th Malaysia Plan 2016-2020 (Prime Minister’s Office), Secretary for the Artificial Intelligence Society Malaysia, Country Representative for the Asia E-learning Network (AEN) based in Japan, Steering Committee Member for the Implementation of E-Learning for Malaysian Public Sector, and Member of the Malaysian Grid for Learning's (MyGfL) Standards Expert Group (SEG), 2003-2004.
At International level, he worked on various ICT Projects and e-learning Workshops in South Africa, Sudan, Iran, Ghana, Kenya, Vietnam, Maldives, Bangladesh (World Bank Project), UAE, India and Brunei.
On Research, currently he hold two Research Grants: (a) Newton Grant (RM800,000) and (b) Taylor’s University Grant for Travel Behavior Analytics (RM300,000). He is also leads the Data Analytics, Modelling and Visualisation Research Cluster at the university.