
Overview
Background
Dr Kai Li Lim is the inaugural St Baker Fellow in E-Mobility at the UQ Dow Centre for Sustainable Engineering Innovation. Specialising in data science, engineering, and emerging technologies, Dr Lim focuses on real-time vehicle telematics, infrastructure management, and computer vision-based autonomous driving.
At UQ, Dr Lim's research centres on electric vehicle (EV) usage and charging patterns to inform adoption policies and strategies. His work includes examining trends for incentive design and assessing the environmental and economic impacts of EVs. Dr Lim's current focus is on charging reliability and addressing EV drivers' pain points. His research has been featured in academic, industry, and media publications, facilitating discussions with various stakeholders.
Dr Lim has published a range of articles, book chapters, and conference papers in reputable venues. He has delivered invited talks and appeared in media outlets such as ABC, Courier Mail, and The Conversation. Collaborating with various UQ schools, including Civil Engineering, Electrical Engineering and Computer Science (EECS), Economics, and Environment, Dr Lim has secured funding for projects on topics like carbon emissions offset after EV uptake and evaluating price incentives for EV charging using real-time data.
In addition to his work at UQ, Dr Lim collaborates closely with the UC Davis Electric Vehicle Research Center, where he recently completed a six-month visiting fellowship on EV charging. He engages in speaking events and networking opportunities centred on sustainability and transportation innovation, delivering keynote speeches at conferences and industry roundtables.
Dr Lim holds a BEng (Hons) degree in electronic and computer engineering from the University of Nottingham, an MSc degree in computer science from Lancaster University, and a PhD degree from The University of Western Australia, supported by the Australian Government under the Research Training Programme.
Availability
- Dr Kai Li Lim is:
- Available for supervision
- Media expert
Fields of research
Qualifications
- Bachelor (Honours) of Electrical and Computer Engineering, University of Nottingham
- Masters (Research) of Computer Science, Lancaster University
- Doctor of Philosophy of Artificial Intelligence and Robotics, University of Western Australia
Research interests
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Electric vehicles
Vehicle electronics, system design, telematics, data management
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Autonomous vehicles
Visual navigation, machine learning, sensor fusion, sensor integration, path planning, software architecture design
Research impacts
Dr Kai Li Lim's research focuses on developing advanced platforms to collect and analyse electromobility (e-mobility) data, particularly addressing EV charging reliability and consumer challenges. The availability of high-speed internet allows vehicles and infrastructures to transmit substantial real-time data with high precision. However, many existing data platforms are device-specific, creating manufacturer-restricted data silos.
In his role as the St Baker Fellow, Dr Lim designs and develops a unified data platform that consolidates information from various connected mobility devices using cloud computing, initially focusing on data from EVs, particularly Tesla vehicles.
His research aims to improve the understanding of spatial EV usage and charging patterns. By integrating data analytics with machine learning, Dr Lim provides insights and predictions about EV behaviours, with an emphasis on enhancing charging reliability and addressing consumer pain points. These findings support the development of effective adoption policies, incentive designs, and strategies to address the environmental and economic impacts of electric vehicles. This work keeps industry and government collaborators informed about emerging EV trends, thereby enhancing the broader impact on electromobility.
Works
Search Professor Kai Li Lim’s works on UQ eSpace
2016
Journal Article
Pathfinding for the navigation of visually impaired people
Lim, Kai Li, Seng, Kah Phooi, Yeong, Lee Seng, Ang, Li Minn, Ch', Sue Inn and ng, N.A. (2016). Pathfinding for the navigation of visually impaired people. International Journal of Computational Complexity and Intelligent Algorithms, 1 (1). doi: 10.1504/ijccia.2016.077467
2015
Journal Article
Uninformed pathfinding: A new approach
Lim, Kai Li, Seng, Kah Phooi, Yeong, Lee Seng, Ang, Li-Minn and Ch'Ng, Sue Inn (2015). Uninformed pathfinding: A new approach. Expert Systems with Applications, 42 (5), 2722-2730. doi: 10.1016/j.eswa.2014.10.046
2015
Book Chapter
Assistive navigation systems for the visually impaired
Lim, Kai Li, Yeong, Lee Seng, Seng, Kah Phooi and Ang, Li-Minn (2015). Assistive navigation systems for the visually impaired. Encyclopedia of Information Science and Technology, Third Edition. (pp. 315-327) Hershey, PA, United States: IGI Global. doi: 10.4018/978-1-4666-5888-2.ch030
2014
Conference Publication
Uninformed multigoal pathfinding on grid maps
Lim, Kai Li, Yeong, Lee Seng, Ch'Ng, Sue Inn, Seng, Kah Phooi and Ang, Li-Minn (2014). Uninformed multigoal pathfinding on grid maps. Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/InfoSEEE.2014.6946181
Funding
Past funding
Supervision
Availability
- Dr Kai Li Lim is:
- Available for supervision
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Supervision history
Current supervision
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Doctor Philosophy
Autonomous vehicle control strategies for driving safety
Associate Advisor
Other advisors: Dr Mehmet Yildirimoglu
Media
Enquiries
Contact Dr Kai Li Lim directly for media enquiries about:
- electric vehicles
- self-driving cars
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