A/Professor Dong Ngoduy
A/Professor Dong Ngoduy
Dong is currently the Head of Transport section and the recipient of the UK Research Council (EPSRC) Advanced Fellow Award (2011-2016) in the area of Connected and Autonomous Vehicles. Dong Ngoduy obtained his PhD in traffic flow theory and simulation from the Technical University of Delft, the Netherlands (TU Delft) in 2006. He worked for the Institute for Transport Studies, University of Leeds, UK until 2017 in the role of research fellow-associate professor in Intelligent Transport Systems, then chaired the Conneted Traffic Systems Lab at the University of Canterbury, NZ before joining Monash University. Dong does research in Connected and Autonomous Vehicles, Traffic Flow Theory and Simulation, Data Fusion and Urban Network Optimization. His current research ambition is to build a smart city research platform which innovates, synergizes, and advances theories and technologies commensurate with the smart transport infrastructure management in mega cities with multi-modal transport modes whilst considering the emerging connected environment.
Qualifications
- MSc in traffic engineering, Linkoping University of Technology, Sweden
- PhD in traffic flow theory, Delft University of Technology, Netherlands
Expertise
- Traffic flow theory and characteristics
- Traffic data fusion
- Urban Network Optimization
- Connected and Autonomous Vehicles
ARC (the Australian Research Council): Detailed Assessor
EPSRC (the UK Research Council): peer review college member
Transportmetrica A: associate editor
Transportmetrica B: associate editor
IET Intelligent Transport Systems: associate editor
Research Interests
My research interests include (but are not limited to):
- Understanding how multi-modal traffic flow systems operate.
- Applications of AI and machine learning to predict, monitor and manage traffic conditions in the short term (Physics-informed approaches).
- Development and Implementation of Digital Twins for transportation systems.
- Modelling fundamental changes in the dynamics of connected transport systems involving autonomous vehicles.
- Traffic control strategies using autonomous vehicles in mixed traffic environment.
Over 100 journal papers in transportation (Transportation Research Part A, B, C and E) and other disciplinary fields (IEEE Transactions, Physics, Mathematics, Computational Modelling, etc). See my google scholar
Industry-funded research project on the optimal design of EV charging stations in urban networks 2026 (~$120K)
Industry-funded research project on the implementation of digital twins for urban arterials 2024 (~$160K)
EU Horizon 2020, 3-year research project on Optimal vehicular platooning 2017-2020 (~$1.2mil)
EPSRC (the UK Research Council) 5-year Career Acceleration Fellowship on Intelligent Traffic Systems 2011-2016 (~$1mil)
Leverhulme trust research project on Noisy optimization method in Transportation Systems 2008-2010 (~$150K)
University of Leeds 4-year early career research fellowship on Real-time monitoring of freeway networks using multi-sensors data 2006-2010 (~$400K)
Others:
Department of Civil & Environmental Engineering’s research award, 2026
Faculty of Engineering Dean’s excellence award for research impact, 2025
Monash University’s “2025 Top 10 Breakthroughs” for research on Digital Twins for traffic management, including the predictive traffic light control system designed to reduce travel delays in Ho Chi Minh City.
Supervision
PHD
Trinh Xuan Sy
Real-time urban traffic flow estimations using multiple data sources
2018 to 2021
Tran Quoc Cong
Optimal charging locations for EVs in heterogeneous urban networks
2019 to 2022
Shang Jiang
AI appliations for large-scale urban transport management
2019 to 2022
Mansour Foroushani
Multi-modal network transmission model
2019 to 2022
Weiming Zhao
Bi-level programming for intelligent intersection control
2016 to 2019
Dana Abudayyeh
Bi-level optimization for signal timings in urban networks under disruptions
2016 to 2019
Admeh Afzal
Real-time traffic enrouting using Kalman Filters
2011 to 2015
Tung Phan
Optimal control of autonomous vehicles dynamics on multi-lane roadways
2018 to 2021
Tenglong Li
Modelling traffic dynamics containing mixed connected and human driven vehicles
2018 to 2021
The Anh Hoang
Development of real-time Signal Control Framework for mixed traffic in Urban areas
2020 to 2024
Soobok Yoon
Optimum operations of EVs in urban networks
2021 to 2024
Eng Lim
Fundamental diagrams of multi-modal transport network under disruptions
2022 to 2026
Renfei Wu
A Driving Risk Surrogate for Connected and Automated Vehicle in Expressway
2021 to 2025
Weijie Yu
Modelling mixed traffic flow of CAVs and human driven vehicles considering platoon operation and information flow topology
2022 to 2025
Sheng Yue
Trajectory planning methods considering environmental impact in a large scale network
2023 to 2025
Xueqing Sun
Machine learning approach for intercity travel demand estimation
2023 to 2025
Ting Wang
AI-driven approach for traffic predictions during holiday seasons
2023 to 2024
Yingjie Song
EV operation and management considering route choices
2023 to 2024
Tri Le
Digitial twin for multi-modal urban networks
2024 to 2028
Minh Nguyen
AI-based traffic monitoring for non-lane-based traffic flow
2024 to 2028
Yongqi Zhang
Network design problems for connected and electric vehicles
2025 to 2029
Ali Davoodi
Real-time en-routing modelling of a mixed traffic network
2023 to 2026
Ze Zhang
Multi- source Heterogeneous Data Fusion for Operational Risk Prevention and Control
2024 to 2025
Zhu Mingchang
Resilience assessment and emergency cooperative control method for urban public transit networks
2024 to 2025
Qianhui Jiao
Analysis of Traveler Choice Mechanisms in Urban Rail Transit Based on Reservation Systems
2024 to 2025
Tung Thai
AI- based real time traffic signal design for large scale networks
2025 to 2029
Catherine Pham
Optimal design of EV charging stations in heterogeneous urban transport systems
2026 to 2030
Guowen Dai
Federated learning for large-scale urban traffic prediction problems
2025 to 2026
Yining Chen
Noisy car-following modelling with ML
2025 to 2029
Research fellow
Tony Jia
Modelling Connected and Autonomous vehicles dynamics
2014 to 2016
Seunghyeon Lee
Deep learning on traffic estimation problems
2017 to 2019
Cuong Nguyen
Modelling large scale heterogeneous traffic networks in connected environment
2021 to 2024
Thai Vu
Optimum allocation resources in transport systems
2022 to 2023
Takao Dantsujie
Hybrid AI methods for real time incident modelling and management
2023 to 2024
Teaching Commitments
- civ 2282 - Transport and Traffic Engineering
- civ 4100 - Autonomous vehicle systems
PhD scholarships
A PhD full scholarship is available, please contact me directly if interested. This position will start as soon as possible.