Dr Mahdi Rezaei

Dr Mahdi Rezaei


Dr Mahdi Rezaei is an Assistant Professor in Computer Science and University Academic Fellow (UAF) at the Institute for Transport Studies, with 15 years of experience in academia and industry. His primary area of expertise and research interests are in Computer Vision, Machine Learning, and Deep Learning with real-world applications in Autonomous Driving, Intelligent Vehicles, Driver Behaviour Monitoring, Pedestrian Detection, Object Tracking, Human Factors, and Traffic Perception. 

He received his PhD in Computer Science with the Best PhD Thesis Award, from the University of Auckland, New Zealand (Top 1% world university, QS rank:50), and had the privilege of working with Professor Reinhard Klette in joint collaboration with Daimler (Mercedes Benz). 


Academic Employment History:

  • University Academic Fellow (Tenure-track Assistant Professor), University of Leeds, 2020-Present
  • Honorary Academic and Senior Researcher, Auckland University of Technology, New Zealand, 2017-2020
  • Researcher and Honorary Academic Staff, University of Auckland, New Zealand, 2010-2017
  • Lecturer in Department of Computer Engineering, Qazvin University, Iran, 2006-2010


Samples of our research outputs:

Ongoing research for vehicle and pedestrian detection using Deep Convolutional Neural Networks:

<iframe width="560" height="315" src="https://www.youtube.com/embed/8kPY1fQhZtk" frameborder="-1" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Vehicles & Pedestrian Classification, Localisation, Speed Detection, and Tracking

Our contribution towards public health during the COVID-19 Pandemic:

<iframe width="560" height="315" src="https://www.youtube.com/embed/FwCP2ySDshE" frameborder="-1" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Rezaei, M.; Azarmi, M. (2020). DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic. Applied Sciences. 2020, 10(21), 7514.


Join our team at the Institute for Transport Studies, Ranked 12th in the world, as one of the most advanced research centres in the interdisciplinary field of Autonomous Vehicles, Self-driving Cars, Driver Behaviour Monitoring, and Human factors.

 Talented and motivated prospective PhD candidates, Postdocs, and Researchers are welcome to apply and join our multideciplinary team at the Institute for Transport Studies (ITS). 

My current PhD & MSc Students:

Honours, Award, Grants:

  • Spark $100,000 Qualifiers Award, 2011. Also, the winner of “Spark Ideas Challenge Award” for the project IntelliEye (one of the top 3 projects among all applications from all disciplines)
  • Marsden Grant, 2012. Faculty grant for going to the final round of Marsden competition- the most challenging research grant in New Zealand, by Royal Society of New Zealand.
  • 3 x Best Paper Awards: ( 2007, IEEE Conference SensorCOMM | 2014, CVPR paper, University of Auckland | 2019, Computer Analysis of Images and Patterns- CAIP)
  • 2 x Akira Nakamura Awards and Grant: 2011 and 2014. provided by Akira Nakamura, professor emeritus of Hiroshima University
  • Best PhD Thesis Award, 2014. the University of Auckland
  • Honorary Academic, 2017-2020. Dept. of Computer Science, Auckland University of Technology. 
  • Honorary Academic, 2014-2016. Dept. of Computer Science, the University of Auckland, Researcher at ‘.enpeda..’ research group


Professional Engagements:


  • Journal of Remote Sensing. Switzerland, MDPI,  5-year Impact Factor: 5.0


  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Vehicular Technologies
  • International Journal of Applied Science
  • International Journal of Computer and Robotics
  • International Journal of Sensors
  • International Conference on Pattern Recognition
  • Asian Conference on Pattern Recognition
  • International Conference of Computer Analysis of Images and Patterns
  • Pacific-Rim Symposium on Image and Video Technology 

Panel Member / Technical Program Committee (TPC): 

  • International Conference of Computer Analysis of Images and Patterns
  • Pacific-Rim Symposium on Image and Video Technology
  • RoboCup Asia-Pacific Symposium
  • IEEE

Latest Publications:




  • Research, lecturing, and supervsion of postdocs, PhDs, and postgrad students

Research interests

  • Computer Vision
  • Artificial Intelligence
  • Machine Learning
  • Autonomous Vehicles | Driver Behaviour Monitoring | Pedestrian Detection and Tracking
  • Traffic Science Segmentation and Understanding
  • Human Factors

A short video spotlight on my monograph book published by Springer International Publishing:

Computer Vision for Driver Assistance 

<iframe width="560" height="315" src="https://www.youtube.com/embed/2H9JH9ZBQMI?autoplay=0" frameborder="1" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Rezaei, M., Klette, R. (2017). Computer Vision for Driver Assistance: Simultaneous Traffic and Driver Monitoring. Springer. CIVI Book Series, pp. 1-224, Volume 45, 2017, ISBN : 978-3-319-50549-7

<h4>Research projects</h4> <p>Any research projects I'm currently working on will be listed below. Our list of all <a href="https://environment.leeds.ac.uk/dir/research-projects">research projects</a> allows you to view and search the full list of projects in the faculty.</p>


  • PhD in Computer Science - Computer Vision
  • MSc in Computer Engineering - Artificial Intelligence & Robotics
  • BSc in Computer Engineering- Computer Hardware

Professional memberships

  • IEEE
  • Computer Vision Foundation
  • CerV Research Group

Student education

For your questions and any further information feel free to email me via m.rezaei@leeds.ac.uk 

Human Drive

Human Drive- Autonomous Vehicle


Driving Simulaor

Our Sophisticated Driving Simulator


University of Leeds

Modern Infrastructures


Academic & Social Profiles (click on icons below):



Research groups and institutes

  • Human Factors and Safety

Current postgraduate researchers

<h4>Postgraduate research opportunities</h4> <p>We welcome enquiries from motivated and qualified applicants from all around the world who are interested in PhD study. Our <a href="https://phd.leeds.ac.uk">research opportunities</a> allow you to search for projects and scholarships.</p>