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Dr Kai Li Lim
Dr

Kai Li Lim

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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

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

  • Electric vehicles

    Vehicle electronics, system design, telematics, data management

  • 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

21 works between 2014 and 2024

1 - 20 of 21 works

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

Advancing online assessment integrity: integrated misconduct detection via internet protocol analysis and behavioral classification

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

Managing Risk in the Design of Modular Systems for an Autonomous Shuttle

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

Striking the right balance: understanding the strategic applications of hydrogen in transitioning to a net zero emissions economy

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

Corrigendum: “State of data platforms for connected vehicles and infrastructures” (Communications in Transportation Research (2021) 1, (100013), (S2772424721000135), (10.1016/j.commtr.2021.100013))

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.

Data in mobility as a service: a real-world trial in Queensland, Australia

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.

Driving and charging an EV in Australia: A real-world analysis

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

A comparative study of AC and DC public electric vehicle charging station usage in Western Australia

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

State of data platforms for connected vehicles and infrastructures

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

Integrated modular safety system design for intelligent autonomous vehicles

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

REView: a unified telemetry platform for electric vehicles and charging infrastructure

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

Cooperative multi-robot navigation–SLAM, visual odometry and semantic segmentation

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

Hardware-in-the-loop autonomous driving simulation without real-time constraints

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

Evolution of a reliable and extensible high-level control system for an autonomous car

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

A Modular Software Framework for Autonomous Vehicles

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

RFID and dead-reckoning- based indoor navigation for visually impaired pedestrians

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

Implementation of semantic segmentation for road and lane detection on an autonomous ground vehicle with LIDAR

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

RFID and dead-reckoning-based indoor navigation for visually impaired pedestrians

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

Pathfinding for the navigation of visually impaired people

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

Uninformed pathfinding: A new approach

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

Assistive navigation systems for the visually impaired

Funding

Past funding

  • 2022 - 2023
    Highlighting the benefits of price incentives for electric vehicle charging: evidence from a field experiment with telematics data
    Energy Consumers Australia Influence Grants
    Open grant
  • 2022 - 2023
    Emissions and economic modelling of road and rail freight in NSW
    iMove Cooperative Research Centre
    Open grant
  • 2021 - 2023
    Longitudinal and spatial database of vehicle ownership and energy consumption
    Australian Urban Research Infrastructure Network
    Open grant

Supervision

Availability

Dr Kai Li Lim is:
Available for supervision

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Supervision history

Current supervision

  • 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

Need help?

For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au