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. If you are interested in working with me, please feel free to send your CV.

Vehicular networks

Connected and automated driving

Intelligent transportation systems

Digital-twin-enabled transportation

Low-altitude air mobility

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

CAN401 Cloud Computing

CPT104 Operating System Concepts

• 2025金砖国家工业创新大赛“人工智能”赛道选拔赛铜奖，决赛优秀奖（Bronze Award in the "Artificial Intelligence" Track Selection Round and Outstanding Project Award in the Final of the 2025 BRICS Industrial Innovation Contest）
• Best Poster Award at the 25th COTA International Conference on Transportation Professionals (CICTP2025) 
• 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