Assoc. Prof. Dr. Suhail Odeh | Intelligent Systems | Research Excellence Award
Assoc. Prof. Dr. Suhail Odeh | Intelligent Systems | Bethlehem University | Palestine
Assoc. Prof. Dr. Suhail Odeh is an accomplished academic and researcher from Bethlehem, Palestine, holding dual Palestinian and Jordanian nationality, with extensive expertise in software engineering, artificial intelligence, physics, and intelligent systems. He earned a PhD in Computer Engineering from Universidad de Granada in Spain, where his doctoral work focused on developing intelligent systems for medical classification and diagnosis, supported by a graduate diploma in computer engineering and a strong science foundation built through an MSc in Physics and a BSc in Physics and Electronic Technology from Al-Quds University. Throughout his career, Suhail Musa Odeh has held significant academic roles, including Associate Professor at Bethlehem University, Chair of the Software Engineering Department, Assistant Professor in Computer and Information Systems, visiting professor at the University of Cyprus, research visitor at the University of Sherbrooke, and post-doctoral researcher at L’Aquila University and Granada University, where he contributed to advancements in intelligent agents, multi-agent control environments, and autonomous behavior modeling. His earlier professional experience includes teaching at Palestine Technical College, the Palestine Polytechnic University, and Beit Sahour Secondary School, as well as conducting physics research at Al-Quds University.
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Featured Publications
A Hybrid Fuzzy Genetic Algorithm for an Adaptive Traffic Signal System
– Advances in Fuzzy Systems, 2015 (49 citations)
Using an Adaptive Neuro-Fuzzy Inference System (ANFIS) Algorithm for Automatic Diagnosis of Skin Cancer
– Journal of Communication & Computer, 2011 (46 citations)
Off-line Signature Verification and Recognition: Neural Network Approach
– International Symposium on Innovations in Intelligent Systems, 2011 (40 citations)
Management of an Intelligent Traffic Light System by Using Genetic Algorithm
– Journal of Image and Graphics, 2013 (37 citations)
A Comparison of Classification Methods as Diagnostic System: A Case Study on Skin Lesions
– Computer Methods and Programs in Biomedicine, 2016 (30 citations)