Moinul Zaber is a data and computational social scientist. His research focus is Artificial Intelligence and Telecommunication technology for public policy. He uses machine learning, statistical inference, econometrics, techno-ethnographic analysis and design thinking to harness data for policy insights and intervention design.

Dr. Zaber received is PhD in Engineering and Public Policy from the Carnegie Mellon University, Pittsburgh, PA, USA. Dr. Zaber is a Senior Academic Fellow of United Nations University’s E-government operating unit, Portugal. Previously he worked as a Research Fellow at Economics and Management Department of Chalmers University, Sweden ,Insituto Superior Tecnico, Portugal and LIRNEasia, Sri Lanka. Dr. Zaber, has also served as a visiting Associate Professor at CSIS, Tokyo University, Tokyo.

Moinul has 16 years long experience on conducting research focusing computational science. Moinul’s research interest evolves around equity and ethics of AI and Data use. His recent research is on development of quality of life indicators from non-traditional data, enhancing explainability and reduction of data-bias in AI systems, use of Big Data to understand electricity usage at the urban setting, use of GPS data for traffic pattern recognition, complex network analysis of river and road connectivity pattern, digital inclusion at educational hubs, use of deep learning for satellite data on land use land cover, spectrum allocation and pricing policy, digital transformation of emergency services, voice over IP regulation, regulatory governance for technology management, usable privacy and usable security. Moinul is one of the editorial board members of Telecommunications policy journal and served as program committee member of various international conference committees. He has published in various international peer-reviewed journals, taught at various governmental and non-governmental institutions, regularly gives invited talks at major conferences on AI, ICT, Telecom and regulation.