Dr. Abdelaziz Daoudi | Image Processing | Best Researcher Award
Doctorate at Tahri Mohammed university, Algeria
Profiles
Summary
Dr. Abdelaziz Daoudi is a dedicated academic and researcher in Artificial Intelligence, with a strong focus on pattern recognition and medical image processing. He serves at Tahri Mohammed University, Béchar, Algeria, where he plays a key role in research and academic mentoring. With extensive experience in segmentation techniques for cardiac and brain imaging, he has contributed to numerous international conferences and journals, showcasing his expertise in developing intelligent diagnostic systems.
Education
Dr. Daoudi holds a doctorate in Computer Science, specializing in AI-driven medical image segmentation. His academic journey has been rooted in combining algorithmic intelligence with real-world medical applications to improve diagnostic accuracy.
Professional Experience
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Responsible for the Computer Science Branch (July 2018 – August 2023)
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Student Monitoring & Tutoring Roles (Feb 2024 – Present)
Dr. Daoudi has also been a lecturer since 2011, teaching modules such as Machine Structure, Algorithms & Data Structures, Pattern Recognition, and Graphical Knowledge Modeling across undergraduate and postgraduate levels.
Research Interests
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Artificial Intelligence & Machine Learning
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Medical Image Segmentation (MRI, CT)
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Pattern Recognition and Bayesian Networks
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Optimization Algorithms (e.g., Whale Optimization) in healthcare
Dr. Daoudi has authored and co-authored impactful papers in top-tier conferences and journals, including IEEE Transactions and MDPI Computers.
Publications
Enhancing Brain Segmentation in MRI through Integration of Hidden Markov Random Field Model and Whale Optimization Algorithm
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Authors: Abdelaziz Daoudi, Saïd Mahmoudi
Journal: Computers
Year: 2024
Benchmark for algorithms segmenting the left atrium from 3D CT and MRI datasets
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Authors: Catalina Tobon-Gomez, Arjan J Geers, Jochen Peters, Jürgen Weese, Karen Pinto, Rashed Karim, Mohammed Ammar, Abdelaziz Daoudi, Jan Margeta, Zulma Sandoval, Birgit Stender, Yefeng Zheng, Maria A Zuluaga, Julian Betancur, Nicholas Ayache, Mohammed Amine Chikh, Jean-Louis Dillenseger, B Michael Kelm, Saïd Mahmoudi, Sébastien Ourselin, Alexander Schlaefer, Tobias Schaeffter, Reza Razavi, Kawal S Rhode
Journal: IEEE transactions on medical imaging
Year: 2015