Fatih Cengil

Fatih Cengil is a Visiting Assistant Professor in the Department of Engineering Technology & Industrial Distribution at Texas A&M University’s College of Engineering. He holds a Ph.D. in Industrial Engineering from the University of Arkansas (2024), an M.S. from Ozyegin University (2018), and a B.S. from Middle East Technical University (2014). His research focuses on operations research, machine learning, and power systems, with notable work on optimizing power flow solutions and pediatric vaccine distribution in low-resource settings.

Education:

• Ph.D., Industrial Engineering, University of Arkansas – 2024
• M.S., Industrial Engineering, Ozyegin University – 2018
• B.S., Industrial Engineering, Middle East Technical University – 2014

Research Interests: Dr. Cengil combines analytical methods from operations research with machine learning to solve complex problems in power systems and healthcare logistics. His work emphasizes scalable optimization techniques and their real-world applications, such as improving energy grid efficiency and equitable vaccine distribution in global health contexts.

Publications: His recent work bridges theoretical optimization (e.g., AC optimal power flow) with practical challenges like vaccine supply chain management in low- and middle-income countries, reflecting a commitment to interdisciplinary problem-solving.

Awards:

• Doctoral Academy Fellowship, University of Arkansas – 2020–2024

Advising & Grants: While specific grant details are not listed, his publications suggest involvement in collaborative research projects addressing energy and healthcare systems. No advisees are explicitly mentioned in the provided materials.