Short Bio
My research focuses on Artificial Intelligence, Computer Vision, and Deep Learning, with applications spanning manuscript studies, cultural heritage preservation, biometrics, agriculture, and healthcare. I am passionate about developing innovative AI solutions that bridge cutting-edge technology with real-world applications across diverse domains.
With a Ph.D. in Computer Vision from Graz University of Technology, Austria, and several years research experience including postdoctoral work and faculty positions, I have contributed publications to the field. My work has been recognized through multiple prestigious awards, including the KUWI Prize, Marshall Plan Scholarship, and awards from the Iranian National Elite Foundation.
Research Highlights
Computer Vision & Deep Learning
Advanced research in CNNs, GANs, LDMs, VLMs, contrastive learning, and diffusion models for object recognition and pattern analysis.
Manuscript Studies & Digital Humanities
Pioneering AI applications for revealing palimpsests, character localization, and handwriting analysis in historical manuscripts.
AI Applications
Developing intelligent systems for biometrics, agriculture, healthcare, and robotics with real-world impact.
Featured Projects
Generative AI for Revealing Palimpsests
Developing advanced AI techniques to reveal undertexts in palimpsests, producing reconstructions that are contextually clearer and more readable than original MSI images. This groundbreaking work significantly enhances document preservation and content recovery. more
Pars Shelf-Reader Robot
Invented and developed an intelligent librarian robot using computer vision for shelf-reading and library resource maintenance. The Pars robot detects, recognizes, and interprets books with intelligent navigation to identify and report misplaced resources.
AI for Agriculture
Developed a comprehensive end-to-end intelligent system for pistachio processing using computer vision and deep learning. The system accurately detects and classifies pistachios based on type, size, color, and quality, optimizing agricultural processing precision.
Historical Images/Videos Colorization
Proposed cutting-edge deep learning algorithms for colorizing historical grayscale images and videos. Using advanced restoration techniques, we achieved vivid colorization that breathes new life into historical visual data.
Selected Publications
10 Selected Journal Papers (List of all papers in publication page)
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Mahdi Jampour, Malihe Javidi,
"Multiview Facial Expression Recognition, A Survey",
IEEE Transactions on Affective Computing – ISSN: 1949-3045 -
Mahdi Jampour, Saeid Abbaasi, Malihe Javidi,
"CapsNet Regularization and its Conjugation with ResNet for Signature Identification",
Pattern Recognition – ISSN: 0031-3203 -
Mohammad Zare, Mahdi Jampour, Malihe Javidi,
"Advanced multi-GANs towards near to real image and video colorization",
Journal of Ambient Intelligence and Humanized Computing – ISSN: 1868-5145 -
Malihe Javidi, Saeid Abbaasi, Sara Naybandi, Mahdi Jampour,
"Covid-19 Early Detection for Imbalanced or Low number of Data using a Regularized Cost-Sensitive Net",
Nature Scientific Reports – ISSN: 2045-2322 -
Mahdi Jampour, Amin KarimiSardar, Hossein Rezaei Estakhroyeh,
"An Autonomous Vision-based Shelf-reader Robot using Faster R-CNN",
Industrial Robot – ISSN: 0143-991x -
Malihe Javidi, Mahdi Jampour,
"A deep learning framework for text-independent writer identification",
Engineering Applications of Artificial Intelligence – ISSN: 0952-1976 -
Mahdi Jampour, Ali Naserasadi,
"Chaos Game Identification and its application for offline signature identification",
IET Biometrics. ISSN: 2047-4938 -
Mahdi Jampour, Mohammad-Shahram Moin, Lap-Fai Yu, Horst Bischof,
"Mapping Forests: A Comprehensive Approach for Nonlinear Mapping Problems",
Journal of Mathematical Imaging and Vision. ISSN: 0924-9907 -
Mahdi Jampour, Chen Li, Kun Zhou, Stephen Lin, Lap-Fai Yu and Horst Bischof,
"Face Inpainting based on High-Level Facial Attributes",
Computer Vision and Image Understanding. ISSN: 1077-3142 -
Mahdi Jampour, Vincent Lepetit, Thomas Mauthner, Horst Bischof,
"Pose-specific non-linear mappings in feature space towards facial expression recognition",
Image and Vision Computing. ISSN: 0262-8856
Key Achievements
Selected Awards & Recognitions
- Principal Investigator at University of Hamburg (2023-Present)
- KUWI Prize, Graz University of Technology, Austria (2015)
- Marshall Plan Scholarship, University of Massachusetts, USA (2015)
- Chamran Prize, Iranian National Elite Foundation (2017)
- Kazemi-Ashtiani Prize, Iranian National Elite Foundation (2019)
- Associated Editor for Int. J. Pattern Recognition and Artificial Intelligence (IJPRAI)
- Associated Editor for Journal of Universal Computer Science (J.UCS)