Dr Dezong Zhao

  • Senior Lecturer in Autonomous Systems (Autonomous Systems & Connectivity)

Biography

Work Experience

  • Senior Lecturer in Autonomous Systems, University of Glasgow, 2020 - present
  • Lecturer in Intelligent Systems, Loughborough University, 2017 - 2020
  • Research Associate, Loughborough University, 2011 - 2017
  • Research Fellow, Tsinghua University, 2010 - 2011

Qualifications

  • PhD in Control Science and Engineering, Tsinghua University, Beijing China, 2006 - 2010
  • MSc in Control Science and Engineering, Shandong University, Jinan, China, 2003 - 2006
  • BEng in Control Science and Engineering, Shandong University, Jinan, China, 1999 - 2003

Research interests

Dr Zhao’s research spans multiple areas of autonomous systems, including perception, decision making, modelling, control, inference, learning and computing. He is passionate in investigating fundamental theories and developing tools to deliver safe, trustworthy and efficient autonomous systems. In applications, he aims to tackle the challenges raised in connected and autonomous vehicles, robotics, low carbon vehicles and mechatronics.

Publications

List by: Type | Date

Jump to: 2022 | 2021
Number of items: 17.

2022

Duan, X., Zhao, Y., Xia, H., Zhou, J., Zhang, L. and Zhao, D. (2022) Performance Analysis of Velocity Perturbation Control in Mixed Platoons with Connected Autonomous and Human-Driven Vehicles. In: 5th IEEE International Conference on Unmanned Systems (IEEE ICUS 2022), Guangzhou, China, 14-16 Oct 2022, (Accepted for Publication)

Yang, J., Zhao, D. , Jiang, J., Lan, J. and Li, L. (2022) An ecological driving strategy for heterogeneous platoon of connected and automated vehicles. Journal of Automotive Safety and Energy, (Accepted for Publication)

Lin, C., Tian, D., Duan, X., Zhou, J., Zhao, D. and Cao, D. (2022) 3D-DFM: anchor-free multimodal 3-D object detection with dynamic fusion module for autonomous driving. IEEE Transactions on Neural Networks and Learning Systems, (doi: 10.1109/TNNLS.2022.3171553) (PMID:35560081) (Early Online Publication)

Lin, C., Tian, D., Duan, X., Zhou, J., Zhao, D. and Cao, D. (2022) CL3D: Camera-LiDAR 3D object detection with point feature enhancement and point-guided fusion. IEEE Transactions on Intelligent Transportation Systems, (doi: 10.1109/TITS.2022.3154537) (Early Online Publication)

Zhou, J., Tian, D., Sheng, Z., Duan, X., Qu, G., Zhao, D. , Cao, D. and Shen, X. (2022) Robust min-max model predictive vehicle platooning with causal disturbance feedback. IEEE Transactions on Intelligent Transportation Systems, (doi: 10.1109/TITS.2022.3146149) (Early Online Publication)

Zhang, R., Li, K., Wu, Y., Zhao, D. , Lv, Z., Li, F., Chen, X., Qiu, Z. and Yu, F. (2022) A multi-vehicle longitudinal trajectory collision avoidance strategy using AEBS with vehicle-infrastructure communication. IEEE Transactions on Vehicular Technology, 71(2), pp. 1253-1266. (doi: 10.1109/TVT.2021.3132558)

Zhou, Q., Li, Y., Zhao, D. , Li, J., Williams, H., Xu, H. and Yan, F. (2022) Transferable representation modelling for real-time energy management of the plug-in hybrid vehicle based on K fold fuzzy learning and Gaussian process regression. Applied Energy, 305, 117853. (doi: 10.1016/j.apenergy.2021.117853)

2021

Hu, X., Gong, Y., Zhao, D. and Gu, W. (2021) Structurally optimized neural fuzzy modelling for model predictive control. IEEE Transactions on Industrial Informatics, (doi: 10.1109/TII.2021.3133893) (Early Online Publication)

Zhou, Q., Zhao, D. , Shuai, B., Li, Y., Williams, H. and Xu, H. (2021) Knowledge implementation and transfer with an adaptive learning network for real-time power management of the plug-in hybrid vehicle. IEEE Transactions on Neural Networks and Learning Systems, 32(12), pp. 5298-5308. (doi: 10.1109/TNNLS.2021.3093429)

Lan, J. , Zhao, D. and Tian, D. (2021) Data-driven robust predictive control for mixed vehicle platoons using noisy measurement. IEEE Transactions on Intelligent Transportation Systems, (doi: 10.1109/TITS.2021.3128406) (Early Online Publication)

Lu, W., Zhao, D. , Premebida, C., Chen, W.-H. and Tian, D. (2021) Semantic Feature Mining for 3D Object Classification and Segmentation. In: 2021 International Conference on Robotics and Automation (ICRA 2021), Xi’an, China, 30 May-5 June 2021, pp. 13539-13545. ISBN 9781728190778 (doi: 10.1109/ICRA48506.2021.9561986)

Yang, J., Zhao, D. , Jiang, J., Lan, J. , Mason, B., Tian, D. and Li, L. (2021) A less-disturbed ecological driving strategy for connected and automated vehicles. IEEE Transactions on Intelligent Vehicles, (doi: 10.1109/TIV.2021.3112499) (Early Online Publication)

Tian, D., Zhang, P., Zhou, J., Duan, X., Sheng, Z., Zhao, D. , Lin, M. and Li, L. (2021) Optimal Control of Mixed Platoons with Autonomous and Human-Driven Vehicles. 4th IEEE International Conference on Unmanned Systems (ICUS 2021), Beijing, China, 15-17 October 2021. (Accepted for Publication)

Shao, Y., Tian, D., Zhou, J., Duan, X., Qu, G., Sheng, Z., Zhao, D. , Xiong, Y. and Guo, S. (2021) Robust Distributed Time-Varying Vehicle Formation Control under Switching Topologies and External Disturbances. 4th IEEE International Conference on Unmanned Systems (ICUS 2021), Beijing, China, 15-17 October 2021. (Accepted for Publication)

Tian, D., Li, J., Zhou, J., Duan, X., Sheng, Z., Zhao, D. , Hao, W. and Long, K. (2021) A Linear Quadratic Gaussian Optimal Control Approach for Train Platoon Formation. 4th IEEE International Conference on Unmanned Systems (ICUS 2021), Beijing, China, 15-17 October 2021. (Accepted for Publication)

Liu, Y., Zhou, J., Tian, D., Sheng, Z., Duan, X., Qu, G. and Zhao, D. (2021) Joint Optimization of Resource Scheduling and Mobility for UAV-Assisted Vehicle Platoons. IEEE 94th Vehicular Technology Conference: VTC2021-Fall, Online only, 27-30 September 2021. (Accepted for Publication)

Duan, X., Wang, Q., Tian, D., Zhou, J., Wang, J., Sheng, Z., Zhao, D. and Sun, Y. (2021) Implementing Trajectory Tracking Control Algorithm for Autonomous Vehicle. In: 4th IEEE International Conference on Unmanned Systems (ICUS 2021), Beijing, China, 15-17 Oct 2021, pp. 947-953. ISBN 9781665438858 (doi: 10.1109/ICUS52573.2021.9641133)

This list was generated on Fri Sep 30 09:30:36 2022 BST.
Jump to: Articles | Conference or Workshop Item | Conference Proceedings
Number of items: 17.

Articles

Yang, J., Zhao, D. , Jiang, J., Lan, J. and Li, L. (2022) An ecological driving strategy for heterogeneous platoon of connected and automated vehicles. Journal of Automotive Safety and Energy, (Accepted for Publication)

Lin, C., Tian, D., Duan, X., Zhou, J., Zhao, D. and Cao, D. (2022) 3D-DFM: anchor-free multimodal 3-D object detection with dynamic fusion module for autonomous driving. IEEE Transactions on Neural Networks and Learning Systems, (doi: 10.1109/TNNLS.2022.3171553) (PMID:35560081) (Early Online Publication)

Lin, C., Tian, D., Duan, X., Zhou, J., Zhao, D. and Cao, D. (2022) CL3D: Camera-LiDAR 3D object detection with point feature enhancement and point-guided fusion. IEEE Transactions on Intelligent Transportation Systems, (doi: 10.1109/TITS.2022.3154537) (Early Online Publication)

Zhou, J., Tian, D., Sheng, Z., Duan, X., Qu, G., Zhao, D. , Cao, D. and Shen, X. (2022) Robust min-max model predictive vehicle platooning with causal disturbance feedback. IEEE Transactions on Intelligent Transportation Systems, (doi: 10.1109/TITS.2022.3146149) (Early Online Publication)

Zhang, R., Li, K., Wu, Y., Zhao, D. , Lv, Z., Li, F., Chen, X., Qiu, Z. and Yu, F. (2022) A multi-vehicle longitudinal trajectory collision avoidance strategy using AEBS with vehicle-infrastructure communication. IEEE Transactions on Vehicular Technology, 71(2), pp. 1253-1266. (doi: 10.1109/TVT.2021.3132558)

Zhou, Q., Li, Y., Zhao, D. , Li, J., Williams, H., Xu, H. and Yan, F. (2022) Transferable representation modelling for real-time energy management of the plug-in hybrid vehicle based on K fold fuzzy learning and Gaussian process regression. Applied Energy, 305, 117853. (doi: 10.1016/j.apenergy.2021.117853)

Hu, X., Gong, Y., Zhao, D. and Gu, W. (2021) Structurally optimized neural fuzzy modelling for model predictive control. IEEE Transactions on Industrial Informatics, (doi: 10.1109/TII.2021.3133893) (Early Online Publication)

Zhou, Q., Zhao, D. , Shuai, B., Li, Y., Williams, H. and Xu, H. (2021) Knowledge implementation and transfer with an adaptive learning network for real-time power management of the plug-in hybrid vehicle. IEEE Transactions on Neural Networks and Learning Systems, 32(12), pp. 5298-5308. (doi: 10.1109/TNNLS.2021.3093429)

Lan, J. , Zhao, D. and Tian, D. (2021) Data-driven robust predictive control for mixed vehicle platoons using noisy measurement. IEEE Transactions on Intelligent Transportation Systems, (doi: 10.1109/TITS.2021.3128406) (Early Online Publication)

Yang, J., Zhao, D. , Jiang, J., Lan, J. , Mason, B., Tian, D. and Li, L. (2021) A less-disturbed ecological driving strategy for connected and automated vehicles. IEEE Transactions on Intelligent Vehicles, (doi: 10.1109/TIV.2021.3112499) (Early Online Publication)

Conference or Workshop Item

Tian, D., Zhang, P., Zhou, J., Duan, X., Sheng, Z., Zhao, D. , Lin, M. and Li, L. (2021) Optimal Control of Mixed Platoons with Autonomous and Human-Driven Vehicles. 4th IEEE International Conference on Unmanned Systems (ICUS 2021), Beijing, China, 15-17 October 2021. (Accepted for Publication)

Shao, Y., Tian, D., Zhou, J., Duan, X., Qu, G., Sheng, Z., Zhao, D. , Xiong, Y. and Guo, S. (2021) Robust Distributed Time-Varying Vehicle Formation Control under Switching Topologies and External Disturbances. 4th IEEE International Conference on Unmanned Systems (ICUS 2021), Beijing, China, 15-17 October 2021. (Accepted for Publication)

Tian, D., Li, J., Zhou, J., Duan, X., Sheng, Z., Zhao, D. , Hao, W. and Long, K. (2021) A Linear Quadratic Gaussian Optimal Control Approach for Train Platoon Formation. 4th IEEE International Conference on Unmanned Systems (ICUS 2021), Beijing, China, 15-17 October 2021. (Accepted for Publication)

Liu, Y., Zhou, J., Tian, D., Sheng, Z., Duan, X., Qu, G. and Zhao, D. (2021) Joint Optimization of Resource Scheduling and Mobility for UAV-Assisted Vehicle Platoons. IEEE 94th Vehicular Technology Conference: VTC2021-Fall, Online only, 27-30 September 2021. (Accepted for Publication)

Conference Proceedings

Duan, X., Zhao, Y., Xia, H., Zhou, J., Zhang, L. and Zhao, D. (2022) Performance Analysis of Velocity Perturbation Control in Mixed Platoons with Connected Autonomous and Human-Driven Vehicles. In: 5th IEEE International Conference on Unmanned Systems (IEEE ICUS 2022), Guangzhou, China, 14-16 Oct 2022, (Accepted for Publication)

Lu, W., Zhao, D. , Premebida, C., Chen, W.-H. and Tian, D. (2021) Semantic Feature Mining for 3D Object Classification and Segmentation. In: 2021 International Conference on Robotics and Automation (ICRA 2021), Xi’an, China, 30 May-5 June 2021, pp. 13539-13545. ISBN 9781728190778 (doi: 10.1109/ICRA48506.2021.9561986)

Duan, X., Wang, Q., Tian, D., Zhou, J., Wang, J., Sheng, Z., Zhao, D. and Sun, Y. (2021) Implementing Trajectory Tracking Control Algorithm for Autonomous Vehicle. In: 4th IEEE International Conference on Unmanned Systems (ICUS 2021), Beijing, China, 15-17 Oct 2021, pp. 947-953. ISBN 9781665438858 (doi: 10.1109/ICUS52573.2021.9641133)

This list was generated on Fri Sep 30 09:30:36 2022 BST.

Grants

  • Tianjin University Open Fund, Decision Making and Control for the Ecological Driving of Connected and Automated Vehicles, PI, K2022-13, CNY100,000, 2022-2024.
  • EPSRC Innovation Fellowship, Towards Energy Efficient Autonomous Vehicles via Cloud-Aided Learning, PI, EP/S001956/1, £526,502, 2018-2022.
  • Royal Society-Newton Advanced Fellowship, Cooperative Vehicular Communication and Robust Control for Mixed Vehicle Platoons, PI, NAF/R1/201213, £74,000, 2020-2023.
  • Tsinghua University Open Fund, Eco-Safe Driving for Automated Vehicles based on Driving Environment Prediction, PI, KF2009, CNY100,000, 2020-2021.
  • University of Glasgow Reinvigorating Research Project, Human-Autonomy-Infrastructure Teaming, Co-I, £100k, 2021-2022.
  • University of Glasgow TNE project, Flagship legged robotic platform for the excellence of research and teaching, Co-I, £100k, 2021 - 2022.
  • Caterpillar I&RC Project, Global Nonlinear Control of Electrified Diesel Engines, PI, 20130319, £30,000, 2013-2014.
  • EPSRC Institutional Sponsorship, Digital Engineering Performance Networks, Co-I, EP/R512941/1, £202,000, 2017-2018.
  • NSFC Standard Grant, Modelling, Control and Scheduling of Networked Cooperation Systems with Multi Agents, Co-I, 61174068, CNY630,000, 2011–2015.

Supervision

I welcome enquiries to supervise PhD students with interests in automatic control, machine intelligence, autonomous vehicles, robotics and future mobility.

Current PhDs

  • Mr Jinsong Yang (2018-), Ecological connected and automated vehicles
  • Mr Weihao Lu (2019-), Point cloud based perception of autonomous vehicles
  • Mr Hari Vijayakumar (2019-), Safe decision making of autonomous vehicles
  • Mr Zhen Tian (2021-), Trustworthy decision making of autonomous systems
  • Mr Zhaoan Ye (2021-), Causal control of autonomous systems
  • Mr Qikun Chen (2022-), Causal decision making of autonomous systems
  • Mr Yang Liu (2022-), Multi-sensor fusion of autonomous vehicles
  • Mr Yansong Jiang (2022-), Causal perception of autonomous systems

Finished RAs

  • Dr Jianglin Lan (2018-2021), RA in Low Carbon Autonomous Vehicles
  • Dr Juan Du (2019-2020), RA in Image Analysis and Machine Learning
  • Dr Lu Ge (2020-2021), RA in Communications in Connected Vehicles
  • Dr Dan Zhou (2020-2021), RA in Energy Management of Autonomous Vehicles

Finished PhDs

  • Dr Wen Gu (2017-2022), Model learning and learning based control of dynamic systems
  • Dr Xiaoyan Hu (2018-2022), Nonlinear control based on structurally optimised neural fuzzy networks

Teaching

Courvse Conveners

  • ENG 4175/5107 (2020-), Autonomous Vehicle Guidance Systems
  • ENG 3005/3071 (2021-), Control of Unmanned Aerial Vehicles (Team Design Projects 3 for Aerospace and Mechatronic students)

Professional activities & recognition

Prizes, awards & distinctions

  • 2015: Young Researcher Award (IEEE Control on Decision and Control)
  • 2016: Most Citation Award (International Journal of Automation and Computing)
  • 2016: Santander Mobility Award (Santander)
  • 2018, 2019: Best Poster Prize (Future Powertrain Conference)
  • 2021: Best Paper Award (IEEE International Conference on Unmanned Systems)
  • 2021: Excellent Solution Award (Global High-Level Talent Innovation and Application Competition)

Research fellowships

  • 2018 - 2022: EPSRC Innovation Fellowship
  • 2020 - 2023: Royal Society-Newton Advanced Fellowship

Grant committees & research advisory boards

  • 2018: UKRI Future Leaders Fellow Peer Review College, Member
  • 2020: EPSRC Peer Review College, Full member

Editorial boards

  • 2022: Associate Editor of IEEE Transactions on Vehicular Technology
  • 2022: Associate Editor of IEEE Transactions on Intelligent Vehicles
  • 2022: Guest Editor on the special issue 'Deep Reinforcement Learning and IoT in Intelligent System' of Sensors

Professional & learned societies

  • 2017: Senior Member, IEEE (The Institute of Electrical and Electronics Engineers)
  • 2019: Member, Society of Automotive Engineers
  • 2019: Fellow, Higher Education Academy
  • 2020: Member, IET (The Institution of Engineering and Technology)

Selected international presentations

  • 2021: COTA International Conference of Transportation Professionals (Online)
  • 2021: CAA International Conference on Vehicular Control and Intelligence​ (Online)

Additional information

Conference TPC member / Session Chair

  • IEEE ACC 2019 Session Chair
  • PMC 2018 TPC
  • IEEE CDC 2015 Session Chair
  • IEEE ICIA 2014 TPC
  • IEEE ICIST 2014 TPC
  • WCICA 2013 TPC
  • IEEE ICRB TPC
  • IEEE ICIA 2013 TPC

Workshp Organisation

  • Co-Chair, Workshop of Connected Autonomous Systems, 2022, University of Glasgow.

Patents

  • Tomas Longley, Richard Stobart, Jiamei Deng, and Dezong Zhao, “Control system for an engine assembly” (US 2015/0046067 A1, EP20120160010).
  • Tomas Longley, Richard Stobart, Jiamei Deng, and Dezong Zhao, “Optimised real-time control of a highly dynamic engine system” (US 2015/0066337 A1, EP20120160006).

PhD viva Convener / Examiner

  • Convener at University of Glasgow since 2022.
  • External Examiner for University of Birmingham since 2021.

Regular Reviewer

  • IEEE Transactions on Industrial Electronics, IEEE Transactions on Control Systems Technology, IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Transportation Electrification, IEEE Transactions on Vehicular Technology, IEEE Transactions on Artificial Intelligence, IEEE Transactions on Intelligent Transportation Systems, IEEE Intelligent Transportation Systems Magazine, IEEE Control Systems Letters, IEEE Networking Letters, Asian Journal of Control, SAE International, ACTA AUTOMATICA SINICA, Journal of Control Theory and Applications, IEEE Conference on Decision and Control, American Control Conference, IFAC Symposium on Automotive Control, IEEE Multi-conference on Systems and Control, IFAC Congress.


A portrait of Dezong Zhao