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
2024
Journal Article
Managing Risk in the Design of Modular Systems for an Autonomous Shuttle
Drage, Thomas, Quirke-Brown, Kieran, Haddad, Lemar, Lai, Zhihui, Lim, Kai Li and Bräunl, Thomas (2024). Managing Risk in the Design of Modular Systems for an Autonomous Shuttle. IEEE Open Journal of Intelligent Transportation Systems, 5, 1-1. doi: 10.1109/ojits.2024.3425165
2024
Journal Article
Advancing online assessment integrity: integrated misconduct detection via internet protocol analysis and behavioral classification
Tiong, Leslie Ching Ow, Lee, Yunli, Lim, Kai Li and Lee, Heejeong Jasmine (2024). Advancing online assessment integrity: integrated misconduct detection via internet protocol analysis and behavioral classification. IEEE Access, 12, 106056-106069. doi: 10.1109/ACCESS.2024.3434608
2023
Journal Article
Striking the right balance: understanding the strategic applications of hydrogen in transitioning to a net zero emissions economy
Whitehead, Jake, Newman, Peter, Whitehead, Jessica and Lim, Kai Li (2023). Striking the right balance: understanding the strategic applications of hydrogen in transitioning to a net zero emissions economy. Sustainable Earth, 6 (1) 1. doi: 10.1186/s42055-022-00049-w
2022
Journal Article
Corrigendum: “State of data platforms for connected vehicles and infrastructures” (Communications in Transportation Research (2021) 1, (100013), (S2772424721000135), (10.1016/j.commtr.2021.100013))
Lim, Kai Li, Whitehead, Jake, Jia, Dongyao and Zheng, Zuduo (2022). Corrigendum: “State of data platforms for connected vehicles and infrastructures” (Communications in Transportation Research (2021) 1, (100013), (S2772424721000135), (10.1016/j.commtr.2021.100013)). Communications in Transportation Research, 2 100057, 100057. doi: 10.1016/j.commtr.2022.100057
2022
Conference Publication
Data in mobility as a service: a real-world trial in Queensland, Australia
Rahbar, Maisie, Lim, Kai Li, Whitehead, Jake and Hickman, Mark (2022). Data in mobility as a service: a real-world trial in Queensland, Australia. Australasian Transport Research Forum 2022 Proceedings, Adelaide, SA Australia, 28-30 September 2022. Canberra, ACT Australia: Australasian Transport Research Forum.
2022
Conference Publication
Driving and charging an EV in Australia: A real-world analysis
Philip, Thara, Lim, Kai Li and Whitehead, Jake (2022). Driving and charging an EV in Australia: A real-world analysis. Australasian Transport Research Forum (ATRF), Adelaide, SA, Australia, 28-30 September 2022.
2022
Journal Article
A comparative study of AC and DC public electric vehicle charging station usage in Western Australia
Lim, Kai Li, Speidel, Stuart and Bräunl, Thomas (2022). A comparative study of AC and DC public electric vehicle charging station usage in Western Australia. Renewable and Sustainable Energy Transition, 2 100021, 100021. doi: 10.1016/j.rset.2022.100021
2021
Journal Article
State of data platforms for connected vehicles and infrastructures
Lim, Kai Li, Whitehead, Jake, Jia, Dongyao and Zheng, Zuduo (2021). State of data platforms for connected vehicles and infrastructures. Communications in Transportation Research, 1 100013, 100013. doi: 10.1016/j.commtr.2021.100013
2021
Conference Publication
Integrated modular safety system design for intelligent autonomous vehicles
Drage, Thomas, Lim, Kai Li, Hai Koh, Joey En, Gregory, David, Brogle, Craig and Braunl, Thomas (2021). Integrated modular safety system design for intelligent autonomous vehicles. 2021 IEEE Intelligent Vehicles Symposium (IV), Nagoya, Japan, 11-17 July 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IV48863.2021.9575662
2020
Book Chapter
REView: a unified telemetry platform for electric vehicles and charging infrastructure
Lim, Kai Li, Speidel, Stuart and Bräunl, Thomas (2020). REView: a unified telemetry platform for electric vehicles and charging infrastructure. Connected vehicles in the Internet of Things: concepts, technologies and frameworks for the IoV. (pp. 167-219) edited by Zaigham Mahmood. Cham, Switzerland: Springer Nature . doi: 10.1007/978-3-030-36167-9_8
2020
Book Chapter
Cooperative multi-robot navigation–SLAM, visual odometry and semantic segmentation
Reid, Robert G., Lim, Kai Li and Bräunl, Thomas (2020). Cooperative multi-robot navigation–SLAM, visual odometry and semantic segmentation. Cooperative localization and navigation: theory, research, and practice. (pp. 181-198) edited by Chao Gao, Guorong Zhao and Hassen Fourati. Boca Raton, FL, United States: CRC Press. doi: 10.1201/9780429507229-10
2019
Journal Article
Evolution of a reliable and extensible high-level control system for an autonomous car
Lim, Kai Li, Drage, Thomas, Zhang, Chao, Brogle, Craig, Lai, William W. L., Kelliher, Timothy, Adina-Zada, Manuchekhr and Braunl, Thomas (2019). Evolution of a reliable and extensible high-level control system for an autonomous car. IEEE Transactions on Intelligent Vehicles, 4 (3) 8728265, 396-405. doi: 10.1109/TIV.2019.2919459
2019
Journal Article
Hardware-in-the-loop autonomous driving simulation without real-time constraints
Brogle, Craig, Zhang, Chao, Lim, Kai Li and Braunl, Thomas (2019). Hardware-in-the-loop autonomous driving simulation without real-time constraints. IEEE Transactions on Intelligent Vehicles, 4 (3) 8723564, 375-384. doi: 10.1109/TIV.2019.2919457
2018
Conference Publication
A Modular Software Framework for Autonomous Vehicles
Lim, Kai Li, Drage, Thomas, Podolski, Roman, Meyer-Lee, Gabriel, Evans-Thompson, Samuel, Lin, Jason Yao-Tsu, Channon, Geoffrey, Poole, Mitchell and Bräunl, Thomas (2018). A Modular Software Framework for Autonomous Vehicles. 2018 IEEE Intelligent Vehicles Symposium (IV), Changshu, China, 26-30 June 2018. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IVS.2018.8500474
2018
Book Chapter
RFID and dead-reckoning- based indoor navigation for visually impaired pedestrians
Lim, Kai Li, Seng, Kah Phooi, Yeong, Lee Seng and Ang, Li-Minn (2018). RFID and dead-reckoning- based indoor navigation for visually impaired pedestrians. Smart technologies: breakthroughs in research and practice. (pp. 1-16) edited by Information Resources Management Association. Hershey, PA, United States: IGI Global. doi: 10.4018/978-1-5225-2589-9.ch001
2017
Conference Publication
Implementation of semantic segmentation for road and lane detection on an autonomous ground vehicle with LIDAR
Lim, Kai Li, Drage, Thomas and Bra, Thomas (2017). Implementation of semantic segmentation for road and lane detection on an autonomous ground vehicle with LIDAR. 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Daegu, Korea, 16-18 November 2017. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/MFI.2017.8170358
2017
Book Chapter
RFID and dead-reckoning-based indoor navigation for visually impaired pedestrians
Lim, Kai Li, Seng, Kah Phooi, Yeong, Lee Seng and Ang, Li-Minn (2017). RFID and dead-reckoning-based indoor navigation for visually impaired pedestrians. Handbook of research on recent developments in intelligent communication application. (pp. 380-396) edited by Siddhartha Bhattacharyya, Nibaran Das, Debotosh Bhattacharjee and Anirban Mukherjee. Hershey, PA United States: IGI Global. doi: 10.4018/978-1-5225-1785-6.ch015
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
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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