معرفی
Orhan Ecemiş serves as an Associate Professor at Gaziantep University's Technical Sciences Vocational School within the Electronics and Automation Department, specializing in Robotics and Artificial Intelligence. His academic appointment commenced in 2024 following progression from Doctor Lecturer (2022-2024) and Lecturer (2009-2022) positions. He currently holds administrative roles as Head of Department and Deputy Director of Vocational School/College at Gaziantep University, having previously served in these capacities during 2010-2014 and 2020-2022.
His educational background includes a Doctorate in Econometrics from Akdeniz University (2011-2016), a Master's in Computer Education from Gazi University (2001-2004), and undergraduate studies in Computer Teaching at Gazi University (1996-2000).
Ecemiş specializes in Quantitative Decision Methods, Multi-Criteria Decision Making, Data Analytics, and Operations Research, with significant contributions to Artificial Intelligence applications. His research bridges computer science and economic modeling, focusing on practical decision support systems across diverse domains including energy policy, logistics optimization, and digital transformation. His work consistently applies advanced mathematical frameworks to real-world problems, particularly utilizing neutrosophic logic and machine learning techniques for complex decision environments.
His 15 most recent publications demonstrate strong thematic continuity in applying Multi-Criteria Decision Making methods to contemporary challenges, with increasing focus on sustainability metrics, digital technologies, and economic forecasting. The research spans energy policy evaluation, cloud computing selection, green logistics, and international trade analysis, reflecting both methodological sophistication and practical relevance to Turkish and European contexts.
As an academic supervisor, he has guided at least one Master's thesis to completion in 2025. His teaching portfolio encompasses computer programming, web technologies, algorithms, and data science applications across undergraduate and associate degree programs since 2014. While specific grant information isn't detailed in the source material, his extensive publication record across international journals and conference proceedings indicates substantial research activity.
