Özgür Özmen
About Özgür Özmen
Özgür Özmen is a Research Scientist at Oak Ridge National Laboratory, where he has worked since 2016. He has a diverse background in engineering and research, with previous roles at Ebi and Auburn University, and holds advanced degrees in management and engineering.
Work at Oak Ridge National Laboratory
Özgür Özmen has been a Research Scientist at Oak Ridge National Laboratory since 2016. His work focuses on operations planning methods and operations research applications. He has contributed to the development of data-driven simulation models to analyze social dynamics. Previously, he held the position of Postdoctoral Research Associate from 2013 to 2016 and participated as an Astro Participant from 2012 to 2013. His research activities include verification and validation processes for multi-agent systems and the utilization of parallel and hybrid simulation techniques.
Education and Expertise
Özgür Özmen holds a Doctor of Philosophy degree in Engineering and Philosophy from Auburn University, which he completed from 2007 to 2010. He also earned a Master of Science in Management Engineering from Galatasaray Üniversitesi in 2006. His undergraduate education includes a Bachelor of Science in Industrial Engineering from Yildiz Technical University, completed in 2005. Özmen has expertise in systems analysis and documentation, particularly within complex adaptive systems.
Previous Work Experience
Before joining Oak Ridge National Laboratory, Özgür Özmen worked as an R&D Specialist at Ebi - Elektronik Bilgi Iletisim Hizmetleri A.s. from 2005 to 2006. He also served as a Business Intelligence Analyst at Tanı Pazarlama Ve İletişim Hizmetleri A.s. from 2006 to 2007. At Auburn University, he worked as a Graduate Research Assistant and Graduate Teaching Assistant from 2007 to 2012, gaining valuable experience in research and education.
Research Contributions
Özgür Özmen has made significant contributions to research at Oak Ridge National Laboratory, particularly in the areas of operations planning and simulation modeling. He has been involved in developing data-driven simulation models that analyze social dynamics and has engaged in verification and validation processes for multi-agent systems. His work utilizes advanced simulation techniques, enhancing the understanding of complex systems.