Dr Dezong Zhao

  • Reader (Autonomous Systems & Connectivity)

email: Dezong.Zhao@glasgow.ac.uk
pronouns: He/him/his

James Watt South Building, School of Engineering, University of Glasgow, G12 8QQ G12 8QQ

Import to contacts

ORCID iDhttps://orcid.org/0000-0002-9848-372X

Biography

Work Experience

  • Reader in Autonomous Systems, University of Glasgow, 2023 - present
  • Senior Lecturer in Autonomous Systems, University of Glasgow, 2020 - 2023
  • 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 robotics and autonomous systems, including perception, decision making, modelling, control, reasoning, 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: 2024 | 2023 | 2022 | 2021 | 2020 | 2018
Number of items: 58.

2024

Zhao, W., Gong, S., Zhao, D. , Liu, F., Sze, N. N., Quddus, M., Huang, H. and Zhao, X. (2024) Impacts of information quantity and display formats on driving behaviors in a connected vehicle environment. Accident Analysis and Prevention, 203, 107621. (doi: 10.1016/j.aap.2024.107621) (PMID:38729056)

Liang, C., Du, H., Sun, Y. , Niyato, D., Kang, J., Zhao, D. and Imran, M. A. (2024) Generative AI-driven semantic communication networks: Architecture, technologies and applications. IEEE Transactions on Cognitive Communications and Networking, (doi: 10.1109/tccn.2024.3435524) (Early Online Publication)

Tian, Z., Zhao, D. , Lin, Z. , Zhao, W., Flynn, D. , Jiang, Y., Tian, D., Zhang, Y. and Sun, Y. (2024) Efficient and balanced exploration-driven decision making for autonomous racing using local information. IEEE Transactions on Intelligent Vehicles, (doi: 10.1109/TIV.2024.3432713) (Early Online Publication)

Jiang, Y., Zhao, D. , Zhu, B., Liu, Z. and Zhao, X. (2024) Driving segment embedding and patterns dictionary generation from real-world data using self-supervised learning. Automotive Innovation, (Accepted for Publication)

Zhen, T., Zhao, D. , Lin, Z. , Flynn, D. , Zhao, W. and Tian, D. (2024) Balanced Reward-inspired Reinforcement Learning for Autonomous Vehicle Racing. In: 6th Annual Learning for Dynamics & Control Conference (L4DC 2024), Oxford, 15-17 July 2024, pp. 628-640.

Liu, S., Zhang, R., Zhao, D. and Song, H. (2024) Adaptive dual-channel event-triggered fuzzy control for autonomous underwater vehicles with multiple obstacles environment. IEEE Transactions on Intelligent Transportation Systems, (doi: 10.1109/tits.2024.3387999) (Early Online Publication)

Li, C., Xie, A., Zhou, J., Tian, D., Duan, X., Sheng, Z., Zhao, D. and Lu, C. (2024) Robust Neural Control for Distributed Formation of UAVs under Uncertain Disturbances. In: 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) (ICAUS 2023), Nanjing, Jiangsu, China, 09-11 Sep 2023, pp. 1-10. ISBN 9789819710836 (doi: 10.1007/978-981-97-1083-6_1)

Zhao, W., Gong, S., Zhao, D. , Liu, F., Sze, N.N., Quddus, M. and Huang, H. (2024) A spatial-state-based omni-directional collision warning system for intelligent vehicles. IEEE Transactions on Intelligent Transportation Systems, (doi: 10.1109/tits.2024.3387942) (Early Online Publication)

Zhang, P., Tian, D., Zhou, J., Duan, X., Sheng, Z., Zhao, D. and Cao, D. (2024) Efficient robust control of mixed platoon for improving fuel economy and ride comfort. IEEE Transactions on Vehicular Technology, (doi: 10.1109/tvt.2024.3390224) (Early Online Publication)

Wu, S., Tian, D., Duan, X., Zhou, J., Zhao, D. and Cao, D. (2024) Continuous decision-making in lane changing and overtaking maneuvers for unmanned vehicles: a risk-aware reinforcement learning approach with task decomposition. IEEE Transactions on Intelligent Vehicles, 9(4), pp. 4657-4674. (doi: 10.1109/tiv.2024.3380074)

Zhang, P., Tian, D., Zhou, J., Chang, M., Duan, X., Zhao, D. , Cao, D. and Leung, V. C.M. (2024) Robust car-following control of connected and autonomous vehicles: a Stochastic Model Predictive Control approach. IEEE Transactions on Intelligent Vehicles, (doi: 10.1109/tiv.2024.3379730) (Early Online Publication)

Zhao, W., Gong, S., Zhao, D. , Liu, F., Sze, N.N., Quddus, M. and Huang, H. (2024) Developing a new integrated advanced driver assistance system in a connected vehicle environment. Expert Systems with Applications, 238(A), 121733. (doi: 10.1016/j.eswa.2023.121733)

Zhang, P., Tian, D., Zhou, J., Duan, X., Zhao, D. and Cao, D. (2024) A distributionally robust optimization model for vehicle platooning under stochastic disturbances. IEEE Transactions on Vehicular Technology, (doi: 10.1109/tvt.2024.3375301) (Early Online Publication)

Li, J., Tian, D., Zhou, J., Duan, X., Sheng, Z., Zhao, D. and Cao, D. (2024) Distributed robust model predictive control for virtual coupling under structural and external uncertainty. IEEE Transactions on Intelligent Transportation Systems, (doi: 10.1109/tits.2024.3363136) (Early Online Publication)

Lin, C., Tian, D., Duan, X., Zhou, J., Zhao, D. and Cao, D. (2024) V2VFormer: vehicle-to-vehicle cooperative perception with spatial-channel transformer. IEEE Transactions on Intelligent Vehicles, (doi: 10.1109/TIV.2024.3353254) (Early Online Publication)

Hu, J., Lin, Y., Li, J., Hou, Z., Chu, L., Zhao, D. , Zhou, Q., Jiang, J. and Zhang, Y. (2024) Performance analysis of AI-based energy management in electric vehicles: A case study on classic reinforcement learning. Energy Conversion and Management, 300, 117964. (doi: 10.1016/j.enconman.2023.117964)

2023

Lan, W., Li, D., Hao, Q., Zhao, D. and Tian, B. (2023) Implicit scene context-aware interactive trajectory prediction for autonomous driving. IEEE Transactions on Intelligent Vehicles, (doi: 10.1109/TIV.2023.3342202) (Early Online Publication)

Lin, C., Tian, D., Duan, X., Zhou, J., Zhao, D. and Cao, D. (2023) 3D-DFM: anchor-free multimodal 3-D object detection with dynamic fusion module for autonomous driving. IEEE Transactions on Neural Networks and Learning Systems, 34(12), pp. 10812-10822. (doi: 10.1109/TNNLS.2022.3171553) (PMID:35560081)

Lan, J. and Zhao, D. (2023) Finding the LQR weights to ensure the associated Riccati equations admit a common solution. IEEE Transactions on Automatic Control, 68(10), pp. 6393-6400. (doi: 10.1109/TAC.2023.3234237)

Yin, H., Tian, D., Lin, C., Duan, X., Zhou, J., Zhao, D. and Cao, D. (2023) V2VFormer++: Multi-Modal Vehicle-to-Vehicle Cooperative Perception via Global-Local Transformer. IEEE Transactions on Intelligent Transportation Systems, 25(2), pp. 2153-2166. (doi: 10.1109/TITS.2023.3314919)

Vijayakumar, H., Zhao, D. , Lan, J. , Zhao, W., Tian, D., Li, D., Zhou, Q. and Song, K. (2023) A holistic safe planner for automated driving considering interaction with human drivers. IEEE Transactions on Intelligent Vehicles, 9(1), pp. 2061-2076. (doi: 10.1109/TIV.2023.3317338)

Melotti, G., Lu, W. , Conde, P., Zhao, D. , Asvadi, A., Gonçalves, N. and Premebida, C. (2023) Probabilistic approach for road-users detection. IEEE Transactions on Intelligent Transportation Systems, 24(9), pp. 9253-9267. (doi: 10.1109/TITS.2023.3268578)

Li, D., Liu, B., Huang, Z., Hao, Q., Zhao, D. and Tian, B. (2023) Safe motion planning for autonomous vehicles by quantifying uncertainties of deep learning-enabled environment perception. IEEE Transactions on Intelligent Vehicles, 9(1), pp. 2318-2332. (doi: 10.1109/TIV.2023.3297735)

Slade, S., Zhang, L., Huang, H., Asadi, H., Lim, C. P., Yu, Y., Zhao, D. , Lin, H. and Gao, R. (2023) Neural inference search for multiloss segmentation models. IEEE Transactions on Neural Networks and Learning Systems, (doi: 10.1109/TNNLS.2023.3282799) (PMID:37327096) (Early Online Publication)

Zhang, Y., Gao, B., Jiang, J., Liu, C., Zhao, D. , Zhou, Q., Chen, Z. and Lei, Z. (2023) Cooperative power management for range extended electric vehicle based on internet of vehicles. Energy, 273, 127238. (doi: 10.1016/j.energy.2023.127238)

Hu, X., Gong, Y., Zhao, D. and Gu, W. (2023) Structurally optimized neural fuzzy modelling for model predictive control. IEEE Transactions on Industrial Informatics, 19(6), pp. 7498-7507. (doi: 10.1109/TII.2021.3133893)

Lan, J. , Zhao, D. and Tian, D. (2023) Data-driven robust predictive control for mixed vehicle platoons using noisy measurement. IEEE Transactions on Intelligent Transportation Systems, 24(6), pp. 6586-6596. (doi: 10.1109/TITS.2021.3128406)

Zhang, P., Tian, D., Zhou, J., Duan, X., Sheng, Z., Zhao, D. and Cao, D. (2023) Joint optimization of platoon control and resource scheduling in cooperative vehicle-infrastructure system. IEEE Transactions on Intelligent Vehicles, 8(6), pp. 3629-3646. (doi: 10.1109/TIV.2023.3265866)

Zhao, W., Gong, S., Zhao, D. , Liu, F., Sze, N.N. and Huang, H. (2023) Effects of collision warning characteristics on driving behaviors and safety in connected vehicle environments. Accident Analysis and Prevention, 186, 107053. (doi: 10.1016/j.aap.2023.107053)

Lan, J. , Zhao, D. and Tian, D. (2023) Safe and robust data-driven cooperative control policy for mixed vehicle platoons. International Journal of Robust and Nonlinear Control, 33(7), pp. 4171-4190. (doi: 10.1002/rnc.6412)

Lu, W., Zhao, D. , Premebida, C., Zhang, L., Zhao, W. and Tian, D. (2023) Improving 3D vulnerable road user detection with point augmentation. IEEE Transactions on Intelligent Vehicles, 8(5), pp. 3489-3505. (doi: 10.1109/TIV.2023.3246797)

Lin, C., Tian, D., Duan, X., Zhou, J., Zhao, D. and Cao, D. (2023) DA-RDD: toward domain adaptive road damage detection across different countries. IEEE Transactions on Intelligent Transportation Systems, 24(3), pp. 3091-3103. (doi: 10.1109/TITS.2022.3221067)

Sheng, Z., Liu, L., Xue, S., Zhao, D. , Jiang, M. and Li, D. (2023) A cooperation-aware lane change method for automated vehicles. IEEE Transactions on Intelligent Transportation Systems, 24(3), pp. 3236-3251. (doi: 10.1109/TITS.2022.3225875)

Yang, J., Zhao, D. , Lan, J. , Xue, S., Zhao, W., Tian, D., Zhou, Q. and Song, K. (2023) Eco-driving of general mixed platoons with CAVs and HDVs. IEEE Transactions on Intelligent Vehicles, 8(2), pp. 1190-1203. (doi: 10.1109/TIV.2022.3224679)

Yang, J., Zhao, D. , Jiang, J., Lan, J. , Mason, B., Tian, D. and Li, L. (2023) A less-disturbed ecological driving strategy for connected and automated vehicles. IEEE Transactions on Intelligent Vehicles, 8(1), pp. 413-424. (doi: 10.1109/TIV.2021.3112499)

Vijayakumar, H., Zhao, D. , Lan, J. , Zhao, W., Tian, D. and Zhang, Y. (2023) A Safe Decision Making Framework for Automated Vehicle Navigation among Human Drivers. In: 22nd IFAC World Congress (IFAC 2023), Yokohama, Japan, 09-14 Jul 2023, pp. 4910-4915. (doi: 10.1016/j.ifacol.2023.10.1263)

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, pp. 799-804. ISBN 9781665484565 (doi: 10.1109/ICUS55513.2022.9986735)

Wu, S., Tian, D., Zhou, J., Duan, X., Sheng, Z. and Zhao, D. (2022) Autonomous On-ramp Merge Strategy Using Deep Reinforcement Learning in Uncertain Highway Environment. In: 5th IEEE International Conference on Unmanned Systems (ICUS 2022), Guangzhou, China, 28-30 October 2022, pp. 658-663. ISBN 9781665484565 (doi: 10.1109/ICUS55513.2022.9986797)

Xie, A., Zhou, J., Tian, D., Duan, X., Sheng, Z. and Zhao, D. (2022) Neural Mixed Platoon Controller Design. In: 5th IEEE International Conference on Unmanned Systems (ICUS 2022), Guangzhou, China, 28-30 October 2022, pp. 641-646. ISBN 9781665484565 (doi: 10.1109/ICUS55513.2022.9986797)

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, 23(10), pp. 18040-18050. (doi: 10.1109/TITS.2022.3154537)

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, 23(9), pp. 15878-15897. (doi: 10.1109/TITS.2022.3146149)

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)

Tian, D., Lin, C., Zhou, J., Duan, X., Cao, Y., Zhao, D. and Cao, D. (2022) SA-YOLOv3: an efficient and accurate object detector using self-attention mechanism for autonomous driving. IEEE Transactions on Intelligent Transportation Systems, 23(5), pp. 4099-4110. (doi: 10.1109/TITS.2020.3041278)

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

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. ISBN 9781665413688 (doi: 10.1109/VTC2021-Fall52928.2021.9625397)

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. and Zhao, D. (2021) Robust model predictive control for nonlinear parameter varying systems without computational delay. International Journal of Robust and Nonlinear Control, 31(17), pp. 8273-8294. (doi: 10.1002/rnc.5235)

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)

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)

Zhou, Q., He, Y., Zhao, D. , Li, J., Li, Y., Williams, H. and Xu, H. (2021) Modified particle swarm optimization with chaotic attraction strategy for modular design of hybrid powertrains. IEEE Transactions on Transportation Electrification, 7(2), pp. 616-625. (doi: 10.1109/TTE.2020.3014688)

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)

2020

Lan, J. and Zhao, D. (2020) Min-max model predictive vehicle platooning with communication delay. IEEE Transactions on Vehicular Technology, 69(11), pp. 12570-12584. (doi: 10.1109/TVT.2020.3025729)

Wang, Y., Lang, P., Tian, D., Zhou, J., Duan, X., Cao, Y. and Zhao, D. (2020) A game-based computation offloading method in vehicular multiaccess edge computing networks. IEEE Internet of Things Journal, 7(6), pp. 4987-4996. (doi: 10.1109/JIOT.2020.2972061)

Zhao, D. , Stobart, R. and Mason, B. (2020) Real-time energy management of the electric turbocharger based on explicit model predictive control. IEEE Transactions on Industrial Electronics, 67(4), pp. 3126-3137. (doi: 10.1109/TIE.2019.2910033)

2018

Zhao, D. , Winward, E., Yang, Z., Stobart, R., Mason, B. and Steffen, T. (2018) An integrated framework on characterization, control, and testing of an electrical turbocharger assist. IEEE Transactions on Industrial Electronics, 65(6), pp. 4897-4908. (doi: 10.1109/TIE.2017.2774726)

This list was generated on Wed Nov 20 19:58:10 2024 GMT.
Number of items: 58.

Articles

Zhao, W., Gong, S., Zhao, D. , Liu, F., Sze, N. N., Quddus, M., Huang, H. and Zhao, X. (2024) Impacts of information quantity and display formats on driving behaviors in a connected vehicle environment. Accident Analysis and Prevention, 203, 107621. (doi: 10.1016/j.aap.2024.107621) (PMID:38729056)

Liang, C., Du, H., Sun, Y. , Niyato, D., Kang, J., Zhao, D. and Imran, M. A. (2024) Generative AI-driven semantic communication networks: Architecture, technologies and applications. IEEE Transactions on Cognitive Communications and Networking, (doi: 10.1109/tccn.2024.3435524) (Early Online Publication)

Tian, Z., Zhao, D. , Lin, Z. , Zhao, W., Flynn, D. , Jiang, Y., Tian, D., Zhang, Y. and Sun, Y. (2024) Efficient and balanced exploration-driven decision making for autonomous racing using local information. IEEE Transactions on Intelligent Vehicles, (doi: 10.1109/TIV.2024.3432713) (Early Online Publication)

Jiang, Y., Zhao, D. , Zhu, B., Liu, Z. and Zhao, X. (2024) Driving segment embedding and patterns dictionary generation from real-world data using self-supervised learning. Automotive Innovation, (Accepted for Publication)

Liu, S., Zhang, R., Zhao, D. and Song, H. (2024) Adaptive dual-channel event-triggered fuzzy control for autonomous underwater vehicles with multiple obstacles environment. IEEE Transactions on Intelligent Transportation Systems, (doi: 10.1109/tits.2024.3387999) (Early Online Publication)

Zhao, W., Gong, S., Zhao, D. , Liu, F., Sze, N.N., Quddus, M. and Huang, H. (2024) A spatial-state-based omni-directional collision warning system for intelligent vehicles. IEEE Transactions on Intelligent Transportation Systems, (doi: 10.1109/tits.2024.3387942) (Early Online Publication)

Zhang, P., Tian, D., Zhou, J., Duan, X., Sheng, Z., Zhao, D. and Cao, D. (2024) Efficient robust control of mixed platoon for improving fuel economy and ride comfort. IEEE Transactions on Vehicular Technology, (doi: 10.1109/tvt.2024.3390224) (Early Online Publication)

Wu, S., Tian, D., Duan, X., Zhou, J., Zhao, D. and Cao, D. (2024) Continuous decision-making in lane changing and overtaking maneuvers for unmanned vehicles: a risk-aware reinforcement learning approach with task decomposition. IEEE Transactions on Intelligent Vehicles, 9(4), pp. 4657-4674. (doi: 10.1109/tiv.2024.3380074)

Zhang, P., Tian, D., Zhou, J., Chang, M., Duan, X., Zhao, D. , Cao, D. and Leung, V. C.M. (2024) Robust car-following control of connected and autonomous vehicles: a Stochastic Model Predictive Control approach. IEEE Transactions on Intelligent Vehicles, (doi: 10.1109/tiv.2024.3379730) (Early Online Publication)

Zhao, W., Gong, S., Zhao, D. , Liu, F., Sze, N.N., Quddus, M. and Huang, H. (2024) Developing a new integrated advanced driver assistance system in a connected vehicle environment. Expert Systems with Applications, 238(A), 121733. (doi: 10.1016/j.eswa.2023.121733)

Zhang, P., Tian, D., Zhou, J., Duan, X., Zhao, D. and Cao, D. (2024) A distributionally robust optimization model for vehicle platooning under stochastic disturbances. IEEE Transactions on Vehicular Technology, (doi: 10.1109/tvt.2024.3375301) (Early Online Publication)

Li, J., Tian, D., Zhou, J., Duan, X., Sheng, Z., Zhao, D. and Cao, D. (2024) Distributed robust model predictive control for virtual coupling under structural and external uncertainty. IEEE Transactions on Intelligent Transportation Systems, (doi: 10.1109/tits.2024.3363136) (Early Online Publication)

Lin, C., Tian, D., Duan, X., Zhou, J., Zhao, D. and Cao, D. (2024) V2VFormer: vehicle-to-vehicle cooperative perception with spatial-channel transformer. IEEE Transactions on Intelligent Vehicles, (doi: 10.1109/TIV.2024.3353254) (Early Online Publication)

Hu, J., Lin, Y., Li, J., Hou, Z., Chu, L., Zhao, D. , Zhou, Q., Jiang, J. and Zhang, Y. (2024) Performance analysis of AI-based energy management in electric vehicles: A case study on classic reinforcement learning. Energy Conversion and Management, 300, 117964. (doi: 10.1016/j.enconman.2023.117964)

Lan, W., Li, D., Hao, Q., Zhao, D. and Tian, B. (2023) Implicit scene context-aware interactive trajectory prediction for autonomous driving. IEEE Transactions on Intelligent Vehicles, (doi: 10.1109/TIV.2023.3342202) (Early Online Publication)

Lin, C., Tian, D., Duan, X., Zhou, J., Zhao, D. and Cao, D. (2023) 3D-DFM: anchor-free multimodal 3-D object detection with dynamic fusion module for autonomous driving. IEEE Transactions on Neural Networks and Learning Systems, 34(12), pp. 10812-10822. (doi: 10.1109/TNNLS.2022.3171553) (PMID:35560081)

Lan, J. and Zhao, D. (2023) Finding the LQR weights to ensure the associated Riccati equations admit a common solution. IEEE Transactions on Automatic Control, 68(10), pp. 6393-6400. (doi: 10.1109/TAC.2023.3234237)

Yin, H., Tian, D., Lin, C., Duan, X., Zhou, J., Zhao, D. and Cao, D. (2023) V2VFormer++: Multi-Modal Vehicle-to-Vehicle Cooperative Perception via Global-Local Transformer. IEEE Transactions on Intelligent Transportation Systems, 25(2), pp. 2153-2166. (doi: 10.1109/TITS.2023.3314919)

Vijayakumar, H., Zhao, D. , Lan, J. , Zhao, W., Tian, D., Li, D., Zhou, Q. and Song, K. (2023) A holistic safe planner for automated driving considering interaction with human drivers. IEEE Transactions on Intelligent Vehicles, 9(1), pp. 2061-2076. (doi: 10.1109/TIV.2023.3317338)

Melotti, G., Lu, W. , Conde, P., Zhao, D. , Asvadi, A., Gonçalves, N. and Premebida, C. (2023) Probabilistic approach for road-users detection. IEEE Transactions on Intelligent Transportation Systems, 24(9), pp. 9253-9267. (doi: 10.1109/TITS.2023.3268578)

Li, D., Liu, B., Huang, Z., Hao, Q., Zhao, D. and Tian, B. (2023) Safe motion planning for autonomous vehicles by quantifying uncertainties of deep learning-enabled environment perception. IEEE Transactions on Intelligent Vehicles, 9(1), pp. 2318-2332. (doi: 10.1109/TIV.2023.3297735)

Slade, S., Zhang, L., Huang, H., Asadi, H., Lim, C. P., Yu, Y., Zhao, D. , Lin, H. and Gao, R. (2023) Neural inference search for multiloss segmentation models. IEEE Transactions on Neural Networks and Learning Systems, (doi: 10.1109/TNNLS.2023.3282799) (PMID:37327096) (Early Online Publication)

Zhang, Y., Gao, B., Jiang, J., Liu, C., Zhao, D. , Zhou, Q., Chen, Z. and Lei, Z. (2023) Cooperative power management for range extended electric vehicle based on internet of vehicles. Energy, 273, 127238. (doi: 10.1016/j.energy.2023.127238)

Hu, X., Gong, Y., Zhao, D. and Gu, W. (2023) Structurally optimized neural fuzzy modelling for model predictive control. IEEE Transactions on Industrial Informatics, 19(6), pp. 7498-7507. (doi: 10.1109/TII.2021.3133893)

Lan, J. , Zhao, D. and Tian, D. (2023) Data-driven robust predictive control for mixed vehicle platoons using noisy measurement. IEEE Transactions on Intelligent Transportation Systems, 24(6), pp. 6586-6596. (doi: 10.1109/TITS.2021.3128406)

Zhang, P., Tian, D., Zhou, J., Duan, X., Sheng, Z., Zhao, D. and Cao, D. (2023) Joint optimization of platoon control and resource scheduling in cooperative vehicle-infrastructure system. IEEE Transactions on Intelligent Vehicles, 8(6), pp. 3629-3646. (doi: 10.1109/TIV.2023.3265866)

Zhao, W., Gong, S., Zhao, D. , Liu, F., Sze, N.N. and Huang, H. (2023) Effects of collision warning characteristics on driving behaviors and safety in connected vehicle environments. Accident Analysis and Prevention, 186, 107053. (doi: 10.1016/j.aap.2023.107053)

Lan, J. , Zhao, D. and Tian, D. (2023) Safe and robust data-driven cooperative control policy for mixed vehicle platoons. International Journal of Robust and Nonlinear Control, 33(7), pp. 4171-4190. (doi: 10.1002/rnc.6412)

Lu, W., Zhao, D. , Premebida, C., Zhang, L., Zhao, W. and Tian, D. (2023) Improving 3D vulnerable road user detection with point augmentation. IEEE Transactions on Intelligent Vehicles, 8(5), pp. 3489-3505. (doi: 10.1109/TIV.2023.3246797)

Lin, C., Tian, D., Duan, X., Zhou, J., Zhao, D. and Cao, D. (2023) DA-RDD: toward domain adaptive road damage detection across different countries. IEEE Transactions on Intelligent Transportation Systems, 24(3), pp. 3091-3103. (doi: 10.1109/TITS.2022.3221067)

Sheng, Z., Liu, L., Xue, S., Zhao, D. , Jiang, M. and Li, D. (2023) A cooperation-aware lane change method for automated vehicles. IEEE Transactions on Intelligent Transportation Systems, 24(3), pp. 3236-3251. (doi: 10.1109/TITS.2022.3225875)

Yang, J., Zhao, D. , Lan, J. , Xue, S., Zhao, W., Tian, D., Zhou, Q. and Song, K. (2023) Eco-driving of general mixed platoons with CAVs and HDVs. IEEE Transactions on Intelligent Vehicles, 8(2), pp. 1190-1203. (doi: 10.1109/TIV.2022.3224679)

Yang, J., Zhao, D. , Jiang, J., Lan, J. , Mason, B., Tian, D. and Li, L. (2023) A less-disturbed ecological driving strategy for connected and automated vehicles. IEEE Transactions on Intelligent Vehicles, 8(1), pp. 413-424. (doi: 10.1109/TIV.2021.3112499)

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, 23(10), pp. 18040-18050. (doi: 10.1109/TITS.2022.3154537)

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, 23(9), pp. 15878-15897. (doi: 10.1109/TITS.2022.3146149)

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)

Tian, D., Lin, C., Zhou, J., Duan, X., Cao, Y., Zhao, D. and Cao, D. (2022) SA-YOLOv3: an efficient and accurate object detector using self-attention mechanism for autonomous driving. IEEE Transactions on Intelligent Transportation Systems, 23(5), pp. 4099-4110. (doi: 10.1109/TITS.2020.3041278)

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)

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. and Zhao, D. (2021) Robust model predictive control for nonlinear parameter varying systems without computational delay. International Journal of Robust and Nonlinear Control, 31(17), pp. 8273-8294. (doi: 10.1002/rnc.5235)

Zhou, Q., He, Y., Zhao, D. , Li, J., Li, Y., Williams, H. and Xu, H. (2021) Modified particle swarm optimization with chaotic attraction strategy for modular design of hybrid powertrains. IEEE Transactions on Transportation Electrification, 7(2), pp. 616-625. (doi: 10.1109/TTE.2020.3014688)

Lan, J. and Zhao, D. (2020) Min-max model predictive vehicle platooning with communication delay. IEEE Transactions on Vehicular Technology, 69(11), pp. 12570-12584. (doi: 10.1109/TVT.2020.3025729)

Wang, Y., Lang, P., Tian, D., Zhou, J., Duan, X., Cao, Y. and Zhao, D. (2020) A game-based computation offloading method in vehicular multiaccess edge computing networks. IEEE Internet of Things Journal, 7(6), pp. 4987-4996. (doi: 10.1109/JIOT.2020.2972061)

Zhao, D. , Stobart, R. and Mason, B. (2020) Real-time energy management of the electric turbocharger based on explicit model predictive control. IEEE Transactions on Industrial Electronics, 67(4), pp. 3126-3137. (doi: 10.1109/TIE.2019.2910033)

Zhao, D. , Winward, E., Yang, Z., Stobart, R., Mason, B. and Steffen, T. (2018) An integrated framework on characterization, control, and testing of an electrical turbocharger assist. IEEE Transactions on Industrial Electronics, 65(6), pp. 4897-4908. (doi: 10.1109/TIE.2017.2774726)

Conference or Workshop Item

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. ISBN 9781665413688 (doi: 10.1109/VTC2021-Fall52928.2021.9625397)

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)

Conference Proceedings

Zhen, T., Zhao, D. , Lin, Z. , Flynn, D. , Zhao, W. and Tian, D. (2024) Balanced Reward-inspired Reinforcement Learning for Autonomous Vehicle Racing. In: 6th Annual Learning for Dynamics & Control Conference (L4DC 2024), Oxford, 15-17 July 2024, pp. 628-640.

Li, C., Xie, A., Zhou, J., Tian, D., Duan, X., Sheng, Z., Zhao, D. and Lu, C. (2024) Robust Neural Control for Distributed Formation of UAVs under Uncertain Disturbances. In: 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) (ICAUS 2023), Nanjing, Jiangsu, China, 09-11 Sep 2023, pp. 1-10. ISBN 9789819710836 (doi: 10.1007/978-981-97-1083-6_1)

Vijayakumar, H., Zhao, D. , Lan, J. , Zhao, W., Tian, D. and Zhang, Y. (2023) A Safe Decision Making Framework for Automated Vehicle Navigation among Human Drivers. In: 22nd IFAC World Congress (IFAC 2023), Yokohama, Japan, 09-14 Jul 2023, pp. 4910-4915. (doi: 10.1016/j.ifacol.2023.10.1263)

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, pp. 799-804. ISBN 9781665484565 (doi: 10.1109/ICUS55513.2022.9986735)

Wu, S., Tian, D., Zhou, J., Duan, X., Sheng, Z. and Zhao, D. (2022) Autonomous On-ramp Merge Strategy Using Deep Reinforcement Learning in Uncertain Highway Environment. In: 5th IEEE International Conference on Unmanned Systems (ICUS 2022), Guangzhou, China, 28-30 October 2022, pp. 658-663. ISBN 9781665484565 (doi: 10.1109/ICUS55513.2022.9986797)

Xie, A., Zhou, J., Tian, D., Duan, X., Sheng, Z. and Zhao, D. (2022) Neural Mixed Platoon Controller Design. In: 5th IEEE International Conference on Unmanned Systems (ICUS 2022), Guangzhou, China, 28-30 October 2022, pp. 641-646. ISBN 9781665484565 (doi: 10.1109/ICUS55513.2022.9986797)

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 Wed Nov 20 19:58:10 2024 GMT.

Grants

  • EPSRC National Hub, TransiT - Digital Twinning Research Hub for Decarbonising Transport, Co-I, £46 million, 2024-2029.
  • EPSRC Innovation Fellowship, Towards Energy Efficient Autonomous Vehicles via Cloud-Aided Learning, PI, £527k, 2018-2022.
  • Royal Society-Newton Advanced Fellowship, Cooperative Vehicular Communication and Robust Control for Mixed Vehicle Platoons, PI, £74k, 2020-2023.
  • 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.
  • EPSRC Capital Award, HDL-32E LiDAR sensor from Velodyne, Co-I, £35k, 2018-2018.
  • Advanced Propulsion Centre project, Dynamic Analysis Modelling and Optimisation of GDI Engines, Co-I, £12.2 million (£2.27 million to the institute), 2017-2021.
  • Caterpillar I&RC Project, Global Nonlinear Control of Electrified Diesel Engines, PI, £30k, 2013-2014.
  • EPSRC Institutional Sponsorship, Digital Engineering Performance Networks, Co-I, £202k, 2017-2018.
  • NSFC Standard Grant, Modelling, Control and Scheduling of Networked Cooperation Systems with Multi Agents, Co-I, CNY630k, 2011–2015.

Supervision

I welcome enquiries to PhD opportunities in automatic control, machine intelligence, autonomous vehicles, robotics and future mobility.

Current PhDs

  • 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 Yansong Jiang (2022-), Causal perception of autonomous systems
  • Mr Xiao Yi (2022-), Autonomous racing cars
  • Mr Xidong Yan (2022-), Knowledge-driven autonomous driving
  • Mr Xingyu Tao (2023-), Event triggered cameras and decision making
  • Mr Qinglin Bi (2023-), Embodied robotic reasoning and manipulation
  • Mr Jingzhi Ruan (2024-), Embodied robotic navigation

Future PhDs

I particularly welcome phd students who are interested in the following research areas:

  • Embodied AI
  • Causal AI
  • Safe and trustworthy automated vehicles
  • Alshehhi, Ahmed
    Resilient Teleoperation for Semi-Autonomous Systems
  • Chen, Qikun
    Unravelling the Mystery: A Causal-Based Approach to Task Failure Explanation
  • Hua, Shuheng
    Semantic Communication System Design and Optimization
  • Jiang, Yansong
    Interpretability of Object Recognition in Autonomous Driving
  • Ruan, Jingzhi
    Traffic Optimisation with Efficient Planning
  • Yan, Xidong
    Knowledge Based Eco-Driving for Connected and Automated Vehicles

Finished PhDs

  • Mr Hari Vijayakumar (2019-2024), Uncertainty-aware decision making of automated vehicles
  • Dr Weihao Lu (2019-2023), Deep learning for 3D object detection on point clouds for autonomous driving
  • Dr Jinsong Yang (2018-2023), Eco-driving for connected and automated vehicles in mixed traffic
  • Dr Xiaoyan Hu (2018-2022), Nonlinear control based on structurally optimised neural fuzzy networks
  • Dr Wen Gu (2017-2022), Model learning and learning based control of dynamic 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

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)
  • 2022: Top 4% Peer Review College Member (EPSRC)
  • 2023: Best Paper Award (IEEE International Conference on Unmanned Systems)

Research fellowships

  • 2018 - 2022: EPSRC Innovation Fellowship
  • 2020 - 2023: Royal Society-Newton Advanced Fellowship
  • 2024 - 2026: Turing Fellow

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' for Sensors
  • 2022: Guest Editor on the special issue 'Underwater-Aerial Integrated Image Processing for Smart Ocean Monitoring' for Journal of Electronic Imaging

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

IEEE ICDCS 2025

The 45th IEEE International Conference on Distributed Computing Systems (IEEE ICDCS 2025) will be held during July 20th - 23rd 2025 in Glasgow, Scotland, UK. This is the premier international forum in all aspects of distributed computing systems. We are calling for Full papers (due 11 December 2024), Workshop Proposals (due 27 November 2024) and Sponsorship. You are very welcome to contribute your original work and meet the top-tier investigators from academia and industry worldwide!

Conference TPC member / Session Chair

  • 2025 ICDCS Workshop Chair
  • 2024 CSTFM Publication Chair
  • 2022 CVCI Invited Session Chair
  • 2019 IEEE ACC Session Chair
  • 2018 PMC TPC
  • 2015 IEEE CDC Session Chair
  • 2014 IEEE ICIA TPC
  • 2014 IEEE ICIST TPC
  • 2013 WCICA TPC
  • 2013 IEEE ICRB TPC
  • 2013 IEEE ICIA TPC

Session/Workshp Organisation

  • 2023 IEEE CASE, Session Co-organiser
  • 2022 Workshop of Connected Autonomous Systems at University of Glasgow, Co-Chair

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)

Visiting Positions

  • Visiting Research Professor at Tsinghua University, 2020-2021
  • Visiting Fellow at The University of Hong Kong, 2022

PhD viva Convener / Examiner

  • External Examiner for University of Warwick since 2023
  • External Examiner for University of Birmingham since 2021
  • External Examiner for Loughborough University since 2023
  • Convener at University of Glasgow since 2022

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.