As the inaugural St Baker Fellow in E-Mobility at The UQ Dow Centre for Sustainable Engineering Innovation, Dr Kai Li Lim specialises in data science, engineering, and emerging technologies. His expertise is applied to real-time vehicle telematics, infrastructure management, and computer vision-based autonomous driving, with a notable thesis on "Connected Autonomous Electromobility."
Dr Lim's research at UQ concentrates on EV usage and charging patterns to inform adoption policies and strategies. He empirically examines trends for incentive design, along with the environmental and economic impacts of electric vehicles. His research has been featured in numerous academic, industry, and media publications, leading to valuable discussions with various stakeholders.
Throughout his career, Dr Lim has published a range of articles, book chapters, and conference papers in reputable venues. He has delivered invited talks and made media appearances in outlets such as the ABC, Courier Mail, and The Conversation. Dr Lim actively collaborates with various schools at UQ, including Information Technology and Electrical Engineering (ITEE), Civil Engineering, Economics, and Earth and Environmental Sciences (SEES). He has successfully secured funding for UQ projects, exploring topics like carbon emissions offset after EV uptake and evaluating price incentives for EV charging using real-time data.
Dr Lim actively engages in speaking events and networking opportunities centred on sustainability and innovation in transportation. He has delivered keynote speeches at conferences and industry roundtables, fostering connections within the field.
Holding 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, Dr Lim was fully supported by the Australian Government under the Research Training Programme for his PhD studies.
Dr Kai Li Lim's research focuses on developing innovative platforms to collect and analyse electromobility (e-mobility) data. With the widespread availability of high-speed internet, vehicles and their infrastructures transmit vast amounts of real-time data with high precision and interoperability. However, many current data platforms are device-specific, resulting in manufacturer-restricted data silos.
In his role as the Fellow, Dr Lim designs and develops a cohesive data platform to consolidate information from a wide range of connected mobility devices. He builds the platform using cloud computing, with initial data sourced from electric vehicles (EVs), particularly Tesla vehicles.
Dr Lim's research contributes to a better understanding of spatial EV usage and charging patterns. By integrating data analytics with machine learning, his work offers valuable insights and predictions regarding EV behaviours. These findings have the potential to inform and guide adoption policies, incentive design, and strategies addressing the environmental and economic impacts of electric vehicles. This research ultimately serves to keep industry and government collaborators informed of emerging EV behaviours and trends, further enhancing the impact of his work on electromobility.
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
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.
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
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
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