Promotion
Promoted to the Associate Professor rank and leader of the Computer Vision Research Group at the University of Leeds, Institute for Transport Studies.
New role at the University of Leeds, 2020
Appointed as a Permanent faculty member at the University of Leeds, Institute for Transport Studies.
Academic Rank: Univesity Academic Fellow equivalent to Tenure-Track Assistant Professor at Level 8.
Best Paper Award, 2019
NH Saleem, HJ Chien, M Rezaei, R Klette. “Improved Stixel Estimation Based on Transitivity Analysis in Disparity Space”, International Conference on Computer Analysis of Images and Patterns (CAIP).
Appointed as Honorary Academic, 2017-Present
Department of Computer Science, Auckland University of Technology
- Researcher at ‘CeRV’ group
- Supervision of two PhD Students
My first Academic Book with Springer, 2017
M Rezaei, R Klette, Computer Vision for Driver Assistance. Springer International Publishing.
The book explores theoretical and practical aspects of driver assistance systems, illustrated by various real-world experiments. It presents technically advanced concepts in an accessible way that is suitable for beginners in the field. Also provides comprehensive guidelines for students, researchers and practitioners. The book elaborates on current topics in computer vision and pattern recognition, such as object detection, object tracking, and supervised and unsupervised classification techniques.
Appointed as Senior Lecturer, 2014-2020
Department of Computer Engineering, Qazvin Islamic Azad University
- Computer Vision, for MSc and PhD Students
- Artificial Intelligence, for Bachelor Students
- Neural Networks and Deep Learning, for MSc and PhD Students
- Computer Systems and Architecture, for Bachelor Students
- English for Computer Students, for Bachelor Students
- Academic English for Non-native English Speakers, for PhD Students
- Supervision of MSc and PhD students
Appointed as Honorary Academic, 2014-2016
Department of Computer Science, the University of Auckland
- Researcher at ‘.enpeda..’ research group
Winner of the Best PhD Thesis Award, 2014
As one of the few PhD graduates among the entire university (statistically under 1%) from all fields, the University of Auckland selected my thesis as The Top PhD Thesis of the year 2014! The selection is done based on the overall achievements of the candidates during the research journey, thesis content, quality of the oral defence, and the report of the examiners’ committee for the outstanding research outcomes and excellence of the PhD thesis.
Akira Nakamura Award and Grant, 2014
Once a year grant, provided by Akira Nakamura, professor emeritus of Hiroshima University for one of the PhD students who gain a publication in one of the five leading conferences in the field: CVPR, ECCV, ICCV, ACCV, and CAIP.
Best Paper Award, 2014
M Rezaei, R Klette, “Look at the Driver, Look at the Road: No Distraction! No Accident!”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
Certificate of achievement for the published paper in CVPR- the World Rank 1 venue among all conferences and journals in the field of Computer Science and Computer Vision.
Outstanding Publication in CVPR, 2014
Having an average h5-mean of 267 citations per paper, CVPR holds the world Rank #1 conference, higher than any other conferences and journals in the field of computer vision. CVPR is also among the top 10 venues in the world in all fields!
Being the first author, my paper titled “Look at the Driver, Look at the Road: No Distraction! No Accident!” accepted in CVPR 2014 and was presented in Columbus, Ohio, USA, on June 24-27, 2014.
The paper proposes a Computer-Vision based method for simultaneous monitoring of the “driver behaviour” and “Traffic hazards” to prevent imminent crashes in real-world driving scenarios. We introduce a robust method for detecting the driver’s head pose, driver’s direction of inattention, head nodding, and yawning detection, all as “cockpit data”. Simultaneously, we also detect other vehicles on the road along with inter-vehicle distance estimation and crash risk analysis, as “road data”. Applying a concurrent data fusion on “cockpit” & “road” data, the developed system can predict high-risk driving scenarios, before an imminent crash. We use two monocular cameras (one facing the driver and one facing the road), and the entire system performs real-time under real-world driving conditions.
Research to Commercialisation, 2012
After gaining successful and promising results in developing my PhD research, now we are looking for angle investors to commercialise the Intellieye as a revolutionary safety product for the automotive industry and intelligent transportation systems. Utilising computer vision and machine learning techniques, the system can detect the driver’s level of drowsiness, fatigue and distraction by tracking and analysing the driver’s eye status and head pose. IntelliEye aims to predict imminent crashes, and warn the driver a few seconds before a fatal crash happens. We look for keen investors who have a strong connection with automotive industries. Car manufacturers, or have a professional background in related safety products.
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.
Appointed as Teaching Assistant, 2011-2013
Department of Computer Science, The University of Auckland
- COMPSCI 775, Advance Multimedia Imaging
- COMPSCI 210, Computer Systems
Akira Nakamura Award and Grant, 2011
Once a year grant, provided by Akira Nakamura, professor emeritus of Hiroshima University for one of the PhD students who gain a publication in one of the five leading conferences in the field: CVPR, ECCV, ICCV, ACCV, and CAIP.
Spark $100K Qualifiers Award, 2011
As one of the finalists of Spark competition, I am proud to announce I won two reputable prizes of the year: “Spark Ideas Challenge Award” and “Spark $100,000 Qualifiers Award”. My project-IntelliEye has been selected as one of the top 11 startup ideas among all applications received from all faculties, students and staff!
The Spark challenge is New Zealand’s premier business plan competition with worthwhile prizes, mentorships and networking programs. The $100K challenge is designed as a launchpad for students and staff from all disciplines to transform their academic ideas into a real-world business.
Established in 2003, Spark was inspired by similar competitions at the Massachusetts Institute of Technology (MIT) and the University of Cambridge Entrepreneurs. Based on their success, Spark was established to foster an entrepreneurial culture and commercialise the host of innovative ideas developed within the University of Auckland for the benefit and prosperity of New Zealand.
Visit: China Minister of Science & Technology, 2011
Dr Wan Gang, the China Minister of Science and Technology and a thirteen-member delegation visited the University of Auckland on 28 March 2011. As the only selected PhD student from the University of Auckland, I had the great honour of presenting a live demo of my research- “Driver Drowsiness and Distraction Detection System” to his excellency and the accompanying visitors.
After an extensive talk and detailed demonstration of our research results, the Hon. Minister Dr Wan Gang concluded: “Every truck and long-distance bus in China should be equipped with this technology!”
Special thanks to Sandino Morales and Shuang Ann for their great assistance…
Best Paper Award, 2007
M Rezaei, A Fasih. “A Hybrid Method in Deriver and Multisensor Data Fusion Using a Fuzzy Logic Supervisor for Vehicle Intelligence”, IEEE International Conference of SensorComm, 2007.
My Academic & Social Profiles (click below):
