I am an Associate Professor at Eskisehir Osmangazi University (ESOGU), Department of Computer Engineering.
I obtained my MSc degree on a Fulbright scholarship from Rochester Institute of Technology, NY, USA in Electrical Engineering in 2010. I also earned my Ph.D. from the Microsystems Engineering Department of the same university in 2015. Following my doctorate, I gained industrial experience in various companies as a Senior Engineer in the USA.
My early industrial experience was in manufacturing fault detection, classification, and process control at the world-renowned GLOBALFOUNDRIES microchip manufacturing factory in New York. Subsequently, I continued my career as a Senior Data Scientist at the R&D center of ASML-HMI, located in Silicon Valley, USA. In 2019, I returned to Türkiye as part of the TÜBİTAK project call 2232 International Leading Researchers Program, also referred to as the reverse brain drain program. Upon my return, I began my academic position as a faculty member in the Computer Engineering Department of Eskişehir Osmangazi University. I received my Associate Professorship (Doçent) title in August 2023, and in April 2023, I was elected as a Senior member of the IEEE (Institute of Electrical and Electronics Engineers).
In 2023, I was also appointed as an NVIDIA University Ambassador and became a certified instructor for the NVIDIA Deep Learning Institute. In this capacity, I deliver educational workshops on deep learning and facilitate official NVIDIA certification in academic environments.
My research specialization lies in artificial intelligence (AI) and deep learning, with a focus on their applications in systems engineering and smart operations. My work is particularly centered on AI-driven intelligent systems in manufacturing processes. I strive to bridge academic research with industrial practice, leveraging machine learning and data science to enhance operational efficiency and predictive capabilities in industrial settings. My contributions in these areas have resulted in internationally recognized patents and numerous publications.
My primary research interests include:
- Machine Learning and Deep Learning for smart manufacturing applications
- Data mining and anomaly detection
- Predictive maintenance and condition monitoring
- Automated process control, Manufacturing Execution Systems and Expert Systems.
I usually collaborate with companies from the industry on various aspects of A.I. applications primarily focusing on Smart Manufacturing technologies. For any inquires please contact me via email dreyupcinar at gmail dot com.
NOTE: I am always open to work with highly motivated and committed students who are interested in doing research in AI. Send me a brief email explaining your motivations and project ideas (if you have any) at dreyupcinar at gmail dot com
A link to my CV here
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Academic performance award
