معرفی
Prof. Dr. Numan CELEBİ serves as a Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Information Systems Engineering, where he has held academic positions since 2007. His career progression includes promotion to Associate Professor in 2013 and subsequent advancement to full Professor.
His educational foundation comprises a Doctorate in Industrial Engineering from Sakarya University (1998-2004) with thesis Inductive-rough clustering approach to part family generation, a Master's in Electrical and Electronics Engineering (1995-1997) with thesis Development of computer program for the implementation of Adapazari medium voltage distribution network (SCADA) system, and a Licence from Istanbul Technical University's Electrical-Electronic Engineering program (1985-1989).
CELEBİ's research spans Artificial Intelligence, Machine Learning, and Computer Vision, with significant contributions to optimization algorithms (Polar Bear Algorithm, Tug of War Optimization), intelligent transportation systems (traffic congestion detection, vehicle rerouting), and computer vision applications (object tracking, saliency detection, UAV-based plant recognition). His methodology frequently integrates Rough Set Theory and fuzzy systems for data analysis and decision support.
Analysis of his 15 most recent publications (2007-2023) reveals a clear research trajectory toward applying metaheuristic optimization and deep learning to real-world problems. His work demonstrates increasing focus on transportation systems (40% of recent publications), agricultural technology via UAVs (15%), and novel optimization frameworks (25%), with consistent methodological emphasis on hybrid algorithm design and real-time implementation.
As an educator, CELEBİ supervises graduate research through courses like ENF 524 Project and teaches specialized subjects including Meta Heuristic Optimization Methods, Intelligent Techniques in Data Analysis, and Data Science across undergraduate and graduate programs. His teaching portfolio spans discrete mathematics, computer networks, and cloud computing, reflecting interdisciplinary expertise.
