About Me
Prof. Pejman Rasti is a Professor at the University of Angers specializing in Artificial Intelligence, with expertise in Machine Learning and Deep Learning applications in life sciences and biometric recognition. With an extensive academic background from signal and image processing to Artificial Intelligence, including a Ph.D. from the University of Tartu and an HDR from the University of Angers, Prof. Rasti has dedicated his career to advancing AI technologies to address complex real-world challenges. His research focuses on developing innovative deep learning methodologies for medical imaging, plant phenotyping, and biometric systems, with a particular interest in multimodal AI approaches. In addition to his research and teaching responsibilities, Prof. Rasti has served as a guest editor for several prestigious journals and is an active member of the scientific committee for high-ranking international conferences. His dedication to mentoring students and fostering collaboration within the scientific community reflects his commitment to driving impactful solutions in healthcare, agriculture, and beyond.
Research
Co-head of Imhorphen Research Group
Member of the executive committee of CNRS GDR ImaBio
My research focuses on:
- Embedded Deep Learning for life sciences
- Multimodal Biometric Recognition
You can find a complete list of my publications on Google Scholar.
Teaching
As an Professor, I teach courses in Signal and Image Processing, Deep and Machine Learning, Data Science, Big Data, and Cloud Computing. I have developed curriculums for undergraduate and graduate programs, emphasizing both theoretical foundations and practical applications.
- Deep Laening
- Machine Learning
- Signal Processing
- Computer Vision
- Big Data
- Cloud Computing
- Electronics
- Python Programming
Ph.D. Students
- Mouad ZINE EL ABIDINE (2019–2022) - Contributions to Computer Vision and Machine Learning for Plant Variety Testing
- Hadhami GARBOUGE (2019–2022) - Deep Learning Applied to Multi-Component Imagery for Variety Testing Problems
- Lukman E. ISMAIL (2020–2023) - Machine Learning Applications in Neuroscience for Brain Tumor Resection
- Abderrazzaq MOUFIDI (2021–2024) - Multimodal Deep Learning Applications in Biometrics
- Mathis CORDIER (2021–2024) - Embedded Analysis of RGB-Depth Images for Plant Disease Studies
- Sherif HAMDY (2020–ongoing) - Computer Vision for Seed Quality Analysis
- Herearii METUAREA (2024–ongoing) - Embedded AI on phenomobile
- Simon RAVE (2024–ongoing) - Embedded AI on connected Stick for plant phenotyping
Contact
Email: pejman.rasti@univ-angers.fr
Office: LARIS Laboratory, University of Angers
Phone: +33 7 69 36 61 64
GitHub: github.com/pejmanrasti
LinkedIn: LinkedIn
Orcid: ORCID