Ai Ling Amy Poh

JSPS Research Fellow

The University of Tokyo

Dr. Amy, a Malaysian-born Chinese, is a JSPS Research Fellow at the University of Tokyo, working with Professor Kenji Tanaka. Her research has been focused on the Security Issues associated with Digital Technologies employed in Electrical Systems since 2010. She was honored with three Student Role Model Awards upon completing her B.B.A., M.Sc., and Ph.D., with backgrounds span both Economic Management and Mathematical Sciences. She has worked in both Industry and Academia, and is well-versed in Business Development, Safety Engineering, Data Processing, and Statistical Modeling. She has won three Science Awards from America, Japan, and Malaysia, and is also the recipient of seven Scholarships. She coordinates multidisciplinary research with experts from seven countries, and has authored one book, one chapter, and 15 manuscripts in prestigious Journals. Her multilingual aptitude allows her to converse fluently in English, Chinese, Malay, Taiwanese, Cantonese, and Japanese with people from all walks of life.

A model for assessing factors that influence public security acceptance in promoting smart grids

Unlike traditional energy grids, Smart Grid (SG) uses the Internet of Things (IoT) technology to add intelligence and monitoring to every node. While Fault Location, Isolation, and Service Restoration (FLISR) bring benefits to the grid's self-healing capabilities, it also comes with security challenges. While the cost of experiments is increasing, with new security, privacy, and open challenges in SG continuing to be discovered every day, expectations are rising for modeling the actual SG security measures, especially on integrating both psychological and policy aspects that embolden consumer trust. This project devises a strategy to comprehend the issue of consumer-socially based security features in the smart grid system that would enable us to pinpoint the crucial driving forces that influence the degree of security. This research aims to build a model for assessing factors that influence public security acceptance in promoting smart grids by identifying critical social motivating factors affecting the level of SG security and establishing a comparable setting that holds the cross-case comparison with the shared characteristics of the countries’ energy policy and regulation on SG diffusion to create grids smart enough to help consumers adapt demand to supply. Furthermore, this research aims to apply it to the important sustainable energy system public acceptance (such as electric, natural gas, and water grids) related to decarbonization and energy trilemma.