Associate ProfessorMohsen Ramezani

Associate Professor in Transport Engineering

Faculty of Engineering

Research projects & supervision summary

Project Opportunities

Title: Automated and connected vehicle technologies for traffic congestion management

 

Opportunity synopsis:

We are currently seeking highly motivated and talented graduate students to pursue the Ph.D. degree. Candidates should hold a B.Sc. or M.Sc. degree in Civil Engineering, Electrical Engineering, Computer Science, Operations Research, Applied Mathematics and Physics or other related field and be interested in transport systems research. Preferred experiences include: traffic modelling, stochastic analysis, optimization, machine learning and programming. The funding waives the tuition fee and includes a competitive stipend. Potential applicants are encouraged to contact mohsen.ramezani@sydney.edu.au (submitting their CV and transcripts.)

 

----------Current Research Projects----------

Ph.D. position in Transport Systems:

Design of decentrlized systems for automated transport

Model-data-driven methods for traffic modelling, estimation,and control

 

RESEARCH PROJECTS & ACTIVITIES

  • RESEARCH-BASED DEGREE SUPERVISION
    Automated and electrified ride-hailing fleet: opportunities and management optimisation
  • RESEARCH-BASED DEGREE SUPERVISION
    Automated Etiquette: Societal norms distributed intelligence and prosocial algorithms for autonomous vehicles.
  • RESEARCH-BASED DEGREE SUPERVISION
    Bus Bunching Modelling and Control: A Passenger-oriented Approach
  • RESEARCH-BASED DEGREE SUPERVISION
    Congestion Management in Urban Traffic Networks based on Macroscopic Fundamental Diagram
  • RESEARCH-BASED DEGREE SUPERVISION
    Development and implementation of autonomous driving microscopic decision-making and control algorithms using reduced-scale mobile robots
  • RESEARCH-BASED DEGREE SUPERVISION
    Distributed Autonomous Vehicles at Intersection Networks
  • RESEARCH-BASED DEGREE SUPERVISION
    Dynamic Control and Modelling of Ride-Sourcing Systems in Large Urban Cities
  • RESEARCH-BASED DEGREE SUPERVISION
    Enhancing Mixed-Traffic Efficiency through Connected and Automated Vehicle Speed Control: A Moving-Bottleneck Approach
  • RESEARCH-BASED DEGREE SUPERVISION
    Historic Digital Street Map Development Through Deep Machine Learning and Optical Character Recognition
  • RESEARCH-BASED DEGREE SUPERVISION
    Improving Operations of Ridesharing Services
  • RESEARCH-BASED DEGREE SUPERVISION
    Increasing Sustainability in Buildings Through Energy-Efficient Concrete
  • RESEARCH-BASED DEGREE SUPERVISION
    Logistics Strategies for Emergency Medical Services
  • RESEARCH-BASED DEGREE SUPERVISION
    Management and operation of the supply side in on-demand mobility platforms
  • RESEARCH-BASED DEGREE SUPERVISION
    Microscopic Bus Performance Analysis Using Real-time Data in Greater Sydney
  • RESEARCH-BASED DEGREE SUPERVISION
    Modelling and control of shared micromobility systems
  • RESEARCH-BASED DEGREE SUPERVISION
    Online Multi-Object Tracking Using LiDAR
  • RESEARCH-BASED DEGREE SUPERVISION
    Optimal integration strategies for on-demand public transport
  • RESEARCH-BASED DEGREE SUPERVISION
    Optimizing Traffic Flow with Adaptive Signal Control Using Higher-Order Network Models
  • RESEARCH-BASED DEGREE SUPERVISION
    Planning and Optimisation of Ferry Network during the Sustainable Transition
  • RESEARCH-BASED DEGREE SUPERVISION
    Predictive Analytics for Urban Corridor Control: a Person-Centric Efficiency-Safety Approach
  • RESEARCH-BASED DEGREE SUPERVISION
    Probabilistic and Priority-Based Approaches to Shared-Space Navigation
  • RESEARCH-BASED DEGREE SUPERVISION
    Programming Traffic: Modelling and Control of Microscopic Vehicle Manoeuvres
  • RESEARCH-BASED DEGREE SUPERVISION
    Terraces, Towers, Trams, and Trains: Examining the Growth of Sydney using Empirical Models and Agent-based Simulation
  • RESEARCH-BASED DEGREE SUPERVISION
    The competitive e-hailing market: modelling and operation strategies
  • RESEARCH-BASED DEGREE SUPERVISION
    Theory of Ensemble Forecasting - with Applications in Transport Modelling