Researcher biography

Dr Kai Li Lim is the inaugural St Baker Postdoctoral Research Fellow in Electromobility at The UQ Dow Centre for Sustainable Engineering Innovation. As a trained computer engineer with more than nine years of experience in developing mobility and navigation frameworks, his early forays saw him designing navigational algorithms on mobile robots and indoor pedestrians. More recently, his applications employ techniques relating to data engineering, the Internet of Things, cloud computing, computer vision and deep learning, resulting in tangible products for real-time vehicle and infrastructural telematics and computer vision-based autonomous driving. Some of these works are documented in his thesis, "Connected Autonomous Electromobility" with top recommendations from its examiners.

Prior to joining UQ, Kai Li oversees and manages The University of Western Australia's Renewable Energy Vehicle (REV) Project EV charging station network, which is the first EV charging network in Australia, and the sole network run by an academic institution. As a current adjunct fellow at UWA, he is also a mentor for students in autonomous driving and connected mobility. In addition, his industrial experiences include sustainability engineering design projects in Singapore and Jakarta, and more notably the design of an end-to-end telematics platform for electric propulsion aircrafts, watercrafts and their infrastructures for Perth-based engineering start-up Electro.Aero.

Here at UQ, he expands on his expertise through his work on a data platform for connected vehicles and infrastructures, along with supporting the data processing design for the UQ Mobility-as-a-Service (MaaS) trial.

Kai Li received the BEng (Hons) degree in electronic and computer engineering from the University of Nottingham in 2012, the MSc degree in computer science from Lancaster University in 2014 and the PhD degree from The University of Western Australia in 2020, where he was fully sponsored by the Australian Government under the Research Training Program.