Projects per year
Personal profile
Personal profile
Dongyao Jia is currently an Associate Professor at the Department of Communications and Networking, XJTLU, and an Honorary Senior Research Fellow at the University of Queensland. He received the BEng in Automation from Harbin Engineering University, China in 1998, and the PhD degree in Computer Science from the City University of Hong Kong in 2014. Prior to joining XJTLU, he worked as a Research Fellow in the School of Civil Engineering, the University of Queensland, Australia, from 2018 to 2021, and the Institute for Transport Studies, University of Leeds, the UK from 2015 to 2018, respectively. He holds a ten-year working experience in the telecom industry in China, when he was promoted to Senior Engineer (2008). He is a Fellow of the UK Higher Education Academy (FHEA). He is also a Member of IEEE, ACM, and CCF. He was named in the list of 2024 Stanford top 2% scientists (全球前2%顶尖科学家), and awarded 2024 "Gusu Innovation and Entrepreneurship Leading Talents“ (姑苏创新领军人才) Programme.
His primary research is to apply advanced ICT technologies to the area of connected and automated driving and intelligent transport systems, specifically focusing on vehicular networks, intelligent traffic flow modeling and cooperative driving, big-data analytics in transport, and digital-twin-enabled transportation. In the past few years, he has been actively involved as the PI or co-PI in several research projects funded by National Science Foundation of China, EU H2020, etc. Most of these works have been widely published in prestigious journals or conferences, e.g. IEEE TITS, TVT, Commun. Surveys Tuts., Transportation Research Part B/C, IEEE INFOCOM, etc. More publications can be found via Google scholar and Researchgate
Ph.D. student or RA opportunities: I am always looking for self-motivated students who are interested in the areas of intelligent transportation, connected and autonomous driving, etc.
Research interests
vehicular networks
connected and autonomous driving
intelligent transportation systems
digital-twin-enabled transportation
Experience
2022 - Present, Associate Professor, XJTLU, China
2018-2021, Research Fellow, University of Queensland, Australia
2015-2018, Research Fellow, University of Leeds, UK
02/2014-06/2014, Visiting Scholar, University of Waterloo, Canada
Teaching
CAN401 Cloud Computing
CPT104 Operating System Concepts
Awards and honours
- 2024 Gusu Innovation and Entrepreneurship Leading Talent
- Named in 2024 World’s Top 2% Scientists list by Stanford University
- 2nd place in the 3rd Student Design Competition on Networked Computing on the Edge of IEEE/ACM CPS-IOT Week (Primary supervisor), Hong Kong. 13/05/2024
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Related documents
Education/Academic qualification
PhD, City University of Hong Kong, 2014
MEng, Guangdong University of Technology, China, 2003
BEng, Harbin Engineering University, China, 1998
External positions
Honorary Senior Research Fellow, The University of Queensland
1 Jan 2022 → …
Person Types
- Staff
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Collaborations and top research areas from the last five years
Projects
- 3 Active
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Mixed traffic flow modeling, optimization and digital twin prototyping based on spatio-temporal information
Jia, D., Pan, Y., Wang, S., Wang, J. & Ngoduy, D.
1/01/24 → 31/12/27
Project: Governmental Research Project
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NSFC: Research on Key Technologies of Adaptive Networking and Reliable Communication for Fog-based IoV
Liu, B., Lu, K., Jia, D. & Xia, Z.
1/01/23 → 31/12/26
Project: Governmental Research Project
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Digital twin paradigm design for information-based connected and automated driving
Jia, D., Liu, B. & Chen, H.
1/09/22 → 31/08/25
Project: Internal Research Project
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A Novel Feature-Sharing Auto-Regressive Neural Network for Enhanced Car-Following Model Calibration
Wang, C., Jia, D., Zheng, Z., Wang, W. & Wang, S., 2024, (Accepted/In press) IEEE ITSC 2024.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Large-Scale Traffic Signal Control Using Constrained Network Partition and Adaptive Deep Reinforcement Learning
Gu, H., Wang, S., Ma, X., Jia, D., Mao, G., Lim, E. G. & Wong, C. P. R., 2024, In: IEEE Transactions on Intelligent Transportation Systems. 25, 7, p. 7619-7632 14 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Multi-Agent Reinforcement Learning Based Resource Allocation for Efficient Message Dissemination in C-V2X Networks
Liu, B., hao, J., Wang, E., Jia, D., Han, W., Wu, L. & Xiong, S., 2024, (Accepted/In press) IWQoS 2024.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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A Coupling Approach to Demand Prediction and Repositioning in SAV Systems
Jin, Y., Jia, D., She, Y., Xu, M., Wang, S. & Wang, J., 2023, 2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings. Institute of Electrical and Electronics Engineers Inc., (IEEE Vehicular Technology Conference).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Activities
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Exploring information impact on cooperative driving via digital twin-enabled transportation platform
Dongyao Jia (Supervisor)
1 Jul 2024 → 31 Aug 2024Activity: Supervision › Completed SURF Project
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Exploring Coupling Design for Intelligent Traffic Modelling, Optimization, and Verification
Dongyao Jia (Speaker)
26 Apr 2024Activity: Talk or presentation › Invited talk
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Exploring Coupling Design for Traffic Modelling, Optimization, and Verification: case study on Car-Following Model, SAV System, and Integrated Simulation
Dongyao Jia (Speaker)
10 Nov 2023Activity: Talk or presentation › Invited talk
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Digital Twin-Enabled Connected Automated Driving (CAD) in the Era of Mixed Traffic
Dongyao Jia (Speaker)
18 Oct 2023Activity: Talk or presentation › Invited talk
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VTC2023 Fall
Dongyao Jia (Chair)
10 Oct 2023 → 13 Oct 2023Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …