
Dr Mahdi Rezaei
- Position: University Academic Fellow; Assistant Professor
- Areas of expertise: Computer Vision; Machine Learning; Autonomous Driving; Self-driving Cars; Road / Traffic Perception; Driver Behaviour Monitoring; Human Factors.
- Email: M.Rezaei@leeds.ac.uk
- Phone: +44(0)113 343 5342
- Location: Office 2.11, Institute for Transport Studies, 34-40 University Road
- Website: YouTube | Twitter | LinkedIn | Googlescholar | Researchgate | ORCID
Profile
Biography
Dr Mahdi Rezaei is an Assistant Professor in Computer Science and University Academic Fellow (UAF) at the Institute for Transport Studies. He has 15 years of experience in academia and industry and his primary area of expertise and research interests are in Computer Vision, Machine Learning, and Deep Learning. His research mainly focuses on real-world applications in Autonomous Driving and Smart cars, Driver Behaviour Monitoring, Road/Traffic perception, Object Detection and Tracking, Human Factors and Safety. He has published more than 50 journal articles and conference papers, a monograph book with Springer, and 12 book chapters in the field.
He received his PhD degree 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).
PhD Position with Scholarship – If you are passionate & talented in Computer Vision, Deep Learning, and Autonomous Vehicles, I have a competition based funded PhD position available. More information here.
Academic Employment History:
- 2020 - Present, Assistant Professor (University Academic Fellow), Uni of Leeds, UK
- 2017 - 2020, Senior Researcher, Auckland University of Technology, New Zealand
- 2015 - 2020, Lecturer in Department of Computer Engineering, Qazvin University, IR
- 2010 - 2017, Honorary Academic Staff, University of Auckland, New Zealand
- 2006 - 2010, Lecturer in Department of Computer Engineering, Qazvin University, IR
Selected videos & research outputs:
3D Vehicle / Pedestrian detection & Speed Estimation using Deep Neural Networks:
Driver Behaviour Monitoring (Distraction, Drowsiness, Phoning / Texting, Yawning, Head Nodding,...)
Stop/Go Decision Making at Roundabouts for Autonomous Vehicles
Our contribution towards public health during the COVID-19 Pandemic:
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:
- Yiming Hou (PhD) – 2020
- Sabeeha Mehtab (PhD) – 2019
- Navid Raeesi (PhD) – 2019
- Mohsen Azarmi (MSc) – 2019
- Mahsa Shahidi (MSc) – 2018
- Dr Noor Saleem – 2019 (Graduated)
Honours, Award, Grants:
- Research England - World Class Laboratories Fund 2020-2021. (Co-I, £54,852)
- 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: ( IEEE Conference SensorCOMM (2007) | CVPR paper, University of Auckland (2014) | Computer Analysis of Images and Patterns (2019)
- 2 x Akira Nakamura Awards and Grant: 2011 and 2014. provided by Akira Nakamura, professor emeritus of Hiroshima University. (PI, $60,000)
- 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:
Editor and Organiser:
- Journal of Remote Sensing (ISSN 2072-4292). Switzerland, Impact Factor: 5.0
- Journal of Sensors (ISSN 1424-8220), 5-year Impact Factor: 3.275
Reviewer:
- 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:
https://scholar.google.co.uk/citations?user=9Z7J8ecAAAAJ&hl=en
Responsibilities
- 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:
<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>Computer Vision for Driver Assistance
Qualifications
- 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

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