Fatih Cengil Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Fayetteville

unknown

1 h-index 6 pubs 18 cited

Research Areas

Links

ORCID Lab Website Research Group

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OverviewAI-generated summary

Fatih Cengil's research focuses on accelerating solutions to complex optimization problems, particularly in the domain of power systems and public health logistics. His work includes developing machine learning approaches to speed up the process of finding globally optimal solutions for the AC Optimal Power Flow problem and enhancing the tightening of its convex relaxations. This area of research has seen recent publications in 2022, 2024, and 2025.

In parallel, Cengil investigates logistical challenges in global health, with a specific emphasis on pediatric vaccine tender scheduling and procurement in low- and middle-income countries. His publications in this domain, appearing in 2024 and 2025, aim to improve the efficiency and effectiveness of vaccine supply chains. Cengil collaborates with researchers Sandra D. Ekşioğlu and Burak Ekşioğlu from the University of Arkansas at Fayetteville on these projects, evidenced by six shared publications. His academic profile includes an h-index of 1, with 6 total publications and 18 citations.

Metrics

h-index: 1
Publications: 6
Citations: 18

Selected Publications

Learning to accelerate tightening of convex relaxations of the AC optimal power flow problem (2025) DOI
Vaccine tender scheduling and procurement: A taxonomic review (2025) DOI
Learning to Accelerate Tightening of Convex Relaxations of the AC Optimal Power Flow Problem (2024) DOI
Learning to accelerate globally optimal solutions to the AC Optimal Power Flow problem (2022) DOI