Prof. Dr. Abdeldjalil Ouahabi | Bioengineering – Full Professor at University of Tours, France
Professor Abdeldjalil Ouahabi is a distinguished academic and a leading figure in electrical and computer engineering, recognized globally for his pioneering work in image and signal processing. With decades of commitment to scientific innovation, he has become a driving force in the integration of artificial intelligence into medical imaging, communication systems, and sustainable education technologies. Through cross-disciplinary research and international collaborations, he continues to shape the future of intelligent systems and data-driven analysis. His prolific academic output, active editorial roles, and contributions to institutional development position him as an exemplary nominee for the Best Researcher Award.
Profile Verified:
🔹Education:
Professor Ouahabi’s academic journey began with advanced training in automatic control and signal processing, culminating in a Ph.D. from one of Europe’s leading institutes. He later achieved a State Doctorate in Electrical and Computer Engineering through a joint program that exemplified his international academic approach. His formal education, deeply rooted in mathematical modeling and engineering, laid the groundwork for his lifelong specialization in signal interpretation, AI-driven algorithms, and multiscale analysis methods. His dual academic background across two continents empowered him with a broad and adaptable perspective on complex engineering challenges.
🔹Experience:
Over a career spanning more than three decades, Professor Ouahabi has served as a full professor at a renowned European university, where he also contributed to strategic international relations and academic leadership. Previously, he taught and conducted research at prominent institutions in North Africa and Europe, holding senior academic roles. Beyond teaching, he has led and participated in cutting-edge research projects across biomedical engineering, telecommunications, and intelligent systems. His roles as general and scientific chair at major international conferences reflect his commitment to knowledge dissemination and his leadership within the global research community.
🔹Research Interest:
His research interests lie at the intersection of signal processing, artificial intelligence, and biomedical imaging. He is particularly known for his work on multiresolution algorithms, wavelet transforms, fractal analysis, and sampling theories. His innovative applications of deep learning models to challenges in brain imaging, face recognition, and environmental monitoring have attracted wide attention. Recently, his focus has expanded to encompass sustainable digital technologies, hybrid learning environments, and AI-driven medical diagnostics. His interdisciplinary approach bridges theoretical rigor with real-world relevance, often producing transformative insights across engineering, health, and educational systems.
🔹Award:
Professor Ouahabi’s contributions have earned him several accolades, including the Outstanding Reviewer Award from Elsevier journals such as Knowledge-Based Systems (2018) and Measurement (2016). He also received the Best Paper Award from the IEEE Instrumentation and Measurement Society in 1999, recognizing his long-standing impact in precision engineering. His reputation has led to invitations as a distinguished visiting professor and international collaborator on flagship AI projects, including one with a Fields Medal laureate. These honors underscore his consistency in scholarly excellence, peer recognition, and societal relevance.
🔹Publications:
📘 “Neonatal EEG classification using attention-based CNN”, Biomedical Signal Processing and Control (2025) – Cited by 15 articles.
🧠 “Advanced genetic image encryption for intelligent transport systems”, Computers and Electrical Engineering (2025) – Cited by 22 articles.
🌍 “Post-COVID-19 education and sustainability”, Sustainability (2023) – Cited by 30 articles.
🔬 “Brain tumor segmentation using PSO and ANOVA”, Cancers (2022) – Cited by 40 articles.
📊 “Image denoising using compressive sensing with regularization”, Sensors (2022) – Cited by 25 articles.
📹 “Medical video coding based on 2nd-generation wavelets”, Electronics (2019) – Cited by 28 articles.
🔍 “A review on wavelet denoising in medical imaging”, IEEE WoSSPA (2013) – Cited by 45 articles.
🔹Conclusion:
In conclusion, Professor Abdeldjalil Ouahabi exemplifies the ideals of research excellence, innovation, and global engagement. His sustained contributions to signal processing and artificial intelligence have profoundly influenced both academic knowledge and practical technologies. Through leadership in education, high-impact publications, and influential collaborations, he continues to push the boundaries of what’s possible in engineering and biomedical research. His record of achievements, dedication to mentoring, and ongoing research into sustainable and intelligent systems make him a compelling candidate for the Best Researcher Award. His work not only advances the frontiers of science but also empowers the global community through applied knowledge and strategic vision.