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Du, Bo Dr.

Senior Lecturer, Theme Leader of Future Transport & Mobility, Coordinator of SMART Short Courses

  • Faculty of Engineering and Information Sciences - SMART Infrastructure Facility

Overview


Dr. Bo Du received his PhD degree in Transportation Engineering from Nanyang Technological University (NTU), Singapore. Dr. Du’s research activities aim to better understand people’s travel behaviour and practically improve transport system in the electric, autonomous, connected and shared era using modelling, optimization, simulation and data analytics tools. He was a recipient of the Fred Burggraf Award from Transportation Research Board, USA, which recognized excellence in transportation research by researchers 35 years of age or younger.

Dr. Du is the Theme Leader of Future Transport & Mobility at SMART focusing on a diversity of research and projects in the fields of transport & logistics. As a Course Coordinator, he is contributing to the transformation of SMART from a research-only facility to research & teaching institute by developing and coordinating SMART Teaching Program with academics and communication team within SMART, across UOW’s faculties, and beyond.

[PhD Scholarship Available]

A full PhD scholarship with additional top-up stipend is available for a research project "C-UAV" to investigate cooperative operation of UAVs and multi-type vehicles to overcome energy constraints and uncertainty, with applications in freight logistics and disaster management. This unique opportunity builds on the collaboration between NSW Defence Innovation Network (DIN), University of Wollongong (UOW) and Hover UAV. More details of this opportunity can be found HERE.

Top Publications


Research Overview


  • ❂ Transport Network Modelling and Optimisation
    ❂ Integrated Planning and Cooperative Operation of Multimodal Transport System
    ❂ Optimal Design of Zero-emission and Emerging Mobility Services
    ❂ Transport and Urban Data Analytics
    ❂ Urban and Maritime Logistics System Analysis and Optimisation

Available as Research Supervisor

Selected Publications


Available as Research Supervisor

Potential Supervision Topics


  • PhD/Postdoc Opportunities

    Welcome to contact me if you are interested in transport research, especially for those with background in Transport Engineering, Operation Research, Optimization, Applied Mathematics, Data Mining and Visualization, Complex System, or other relevant disciplines.


    A full PhD scholarship with additional top-up stipend is available for a research project "C-UAV" to investigate cooperative operation of UAVs and multi-type vehicles to overcome energy constraints and uncertainty, with applications in freight logistics and disaster management. This unique opportunity builds on the collaboration between NSW Defence Innovation Network (DIN), University of Wollongong (UOW) and Hover UAV. More details of this opportunity can be found HERE.

    Scholarship Information

    Domestic Students - HDR scholarships
    International Students - HDR Scholarships

    Short-term and Long-term Visiting Opportunities (for Academics and Postgraduate Students)

    We always welcome knowledge exchange and research collaboration in flexible format.

Advisees


  • Graduate Advising Relationship

    Degree Research Title Advisee
    Doctor of Philosophy (Integrated) Smart Simulation and Modelling for Resource Management in Transportation Problems Malysiak, Kevin
    Doctor of Philosophy Optimization of electric bus operation considering mixed-type charging techniques Hu, Hao
    Master of Philosophy - EIS The impact of crisis on public transport travel patterns ¿ Evidence from smart card data analysis pre- and post-COVID-19 in Australia Qu, Tianyang
    Doctor of Philosophy Pedestrian Social Group Behavior in High-density Conditions Zhang, Steve
    Doctor of Philosophy Reducing food shortage and wastage using AI to inform and optimize supply chain with real-time IoT data Seyam, Asmaa

Top Publications


Research Overview


  • ❂ Transport Network Modelling and Optimisation
    ❂ Integrated Planning and Cooperative Operation of Multimodal Transport System
    ❂ Optimal Design of Zero-emission and Emerging Mobility Services
    ❂ Transport and Urban Data Analytics
    ❂ Urban and Maritime Logistics System Analysis and Optimisation

Selected Publications


Potential Supervision Topics


  • PhD/Postdoc Opportunities

    Welcome to contact me if you are interested in transport research, especially for those with background in Transport Engineering, Operation Research, Optimization, Applied Mathematics, Data Mining and Visualization, Complex System, or other relevant disciplines.


    A full PhD scholarship with additional top-up stipend is available for a research project "C-UAV" to investigate cooperative operation of UAVs and multi-type vehicles to overcome energy constraints and uncertainty, with applications in freight logistics and disaster management. This unique opportunity builds on the collaboration between NSW Defence Innovation Network (DIN), University of Wollongong (UOW) and Hover UAV. More details of this opportunity can be found HERE.

    Scholarship Information

    Domestic Students - HDR scholarships
    International Students - HDR Scholarships

    Short-term and Long-term Visiting Opportunities (for Academics and Postgraduate Students)

    We always welcome knowledge exchange and research collaboration in flexible format.

Advisees


  • Graduate Advising Relationship

    Degree Research Title Advisee
    Doctor of Philosophy (Integrated) Smart Simulation and Modelling for Resource Management in Transportation Problems Malysiak, Kevin
    Doctor of Philosophy Optimization of electric bus operation considering mixed-type charging techniques Hu, Hao
    Master of Philosophy - EIS The impact of crisis on public transport travel patterns ¿ Evidence from smart card data analysis pre- and post-COVID-19 in Australia Qu, Tianyang
    Doctor of Philosophy Pedestrian Social Group Behavior in High-density Conditions Zhang, Steve
    Doctor of Philosophy Reducing food shortage and wastage using AI to inform and optimize supply chain with real-time IoT data Seyam, Asmaa
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