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.
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.
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, 1-1. doi: 10.1109/ojits.2024.3425165
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
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
Emissions and economic modelling of road and rail freight in NSW
(2022–2023) iMove Cooperative Research Centre
(2022–2023) Energy Consumers Australia Influence Grants
Longitudinal and spatial database of vehicle ownership and energy consumption
(2021–2023) Australian Urban Research Infrastructure Network
Autonomous vehicle control strategies for driving safety
Doctor Philosophy
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
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
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
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
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
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, 1-1. doi: 10.1109/ojits.2024.3425165
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
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
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
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
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
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
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
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
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.
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.
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
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
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
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
Emissions and economic modelling of road and rail freight in NSW
(2022–2023) iMove Cooperative Research Centre
(2022–2023) Energy Consumers Australia Influence Grants
Longitudinal and spatial database of vehicle ownership and energy consumption
(2021–2023) Australian Urban Research Infrastructure Network
Autonomous vehicle control strategies for driving safety
Doctor Philosophy — Associate Advisor
Other advisors: