Abstract: Our research is conducted as part of a UKRI project on citizen-centric AI systems (https://www.ccais.ac.uk/). This project is broadly about developing novel artificial intelligence (AI) techniques to build personal intelligent agents that can represent and learn citizens' preferences in a distributed and privacy-sensitive manner. A key example application area in this project is the smart electrification of transport and in particular how to build AI agents that can learn the individual preferences and constraints of EV drivers. Thus, in our research, we will develop an application to plan routes for EVs that takes into account individual preferences and constraints, including stops for charging. The application will consider how far the EV can travel and suggest appropriate locations for compatible charging stations on users' travel paths. Most importantly, it will consider the EV driver's personal preferences, such as trade-offs between price, convenience, and range anxiety on a particular day or time

Short Bio: Elnaz Shafipour is a Research Fellow at the School of Electronics and Computer Science at UoS. She is part of the TAS Hub and Citizen-Centric AI Systems (CCAIS) teams at UoS. She received her PhD from Lancaster University in September 2021. Her research focuses on AI and Multi-Agent Systems, as well as Electric Vehicle (EV) Charging. She received a Postdoctoral Enrichment Award from the Alan Turing Institute in 2022, and she led a project funded by Public Policy (UoS) on electric vehicle charging on long journeys.