Sabit Ekin

Oklahoma State University, Texas A&M University

Papers

Total Citations

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About

Sabit Ekin is a versatile researcher whose work spans next-generation wireless communications, biomedical sensing, and technology-driven rural education. His most influential contribution lies in the domain of 6G cellular networks, where his work on D-RAN — a deep reinforcement learning-based framework for demand-driven, elastic, user-centric radio access network optimization — has garnered 17 citations since 2022, reflecting growing interest in intelligent, adaptive architectures capable of supporting the heterogeneous application demands anticipated in beyond-5G systems. Ekin's research portfolio extends meaningfully into health monitoring technology, with his work on noncontact respiratory anomaly detection using infrared light-wave sensing demonstrating a commitment to leveraging wireless technologies for real-world clinical applications. This non-invasive approach to detecting abnormal breathing patterns holds significant promise for early diagnosis and remote patient monitoring. Perhaps most notably, Ekin has also engaged with community impact through his PETE-Kits initiative, a case study introducing smart and connected technologies to rural high school students and teachers to foster entrepreneurship. This breadth — from theoretical network design to humanitarian application — marks Ekin as a researcher dedicated to both technical innovation and societal advancement.