Theses

"Energy Management System of Hybrid Fuel Cell/Battery System Under Low-Temperature Conditions", Ph.D. Thesis (2026), G.T.U., TURKIYE,

Advisor: Dr. Assistant Prof. Recep ÖNLER

"Elektrikli Aracın Tasarım ve Simülasyonu", M.Sc. Thesis (2018), G.R.U., TURKIYE,

Advisor: Prof. Dr. Hakan ADATEPE

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Articles

B. Gok, F.C. Yilmaz, M.F. Serincan, R. Onler, “Robust state of charge prediction for lithium-ion batteries in diverse operating environments via machine learning”, Measurement, 253 pp. 117595, https:// doi.org/10.1016/j.measurement.2025.117595.

Conference Proceedings

B. Gok, H. Adatepe, "Design and Simulation of Electric Vehicles", International Conference on Agriculture, Technology, Engineering and Sciences (ICATES 2018), Lviv, Ukraine, 19-20 September 2018.

B. Gok, O.B. Saban, M.F. Serincan, "Farklı Çalışma Koşullarında Lityum-İyon Bataryaların Performans Değerlendirmesi", 7th International Erciyes Conference on Scientific Research, Kayseri, Türkiye, 09-10 March 2022.

B. Gok, O.B. Saban, M.F. Serincan, R. Onler, "Evaluation of Lithium-Ion Battery Under Low Operating Temperatures by Pulse and Impedance Tests", 4th International Marmara Scientific Research and Innovation Congress, Istanbul, Türkiye, 11-12 March 2023.

B. Gok, R. Onler, "A Parametric Approach for Enhancing Pem Fuel Cell Performance: Detailed Examination of The One-Dimensional Model", 8. International Göbeklitepe Scientific Studies Congress, Şanlıurfa, Türkiye, 02-03 March 2024.

H. Kumek, B. Gok, B. Turgut, R. Onler, U. Gürol, “Comparison of Corrosion Behavior of Wire Arc Additive Manufactured Various Stainless Steel Components”, Additive Manufacturing Conference (AMC 2024), Antalya, TURKEY, 25-27 April 2024.

F.C. Yilmaz, B. Gok, M.F. Serincan, R. Onler, “Robust remaining discharge energy estimation for Li-ion battery in diverse current rates via machine learning”, 3rd International Conference on Artificial Intelligence and Power Engineering, Nara, Japan, 28-31 October 2025.

B. Gok, F.C. Yilmaz, M.F. Serincan, R. Onler, “Machine Learning-Based Prediction of Remaining Discharge Energy in Li-Ion Batteries Under a Real-world Conditions”, 10th International Conference on Renewable Energy and Conservation, Florence, Italy, 21-23 November 2025.

Projects

“Elektrikli Araçlar için Batarya Sağlık Durumu ve Şarj Durumunun Gerçekçi Çalışma Şartları Altında Dinamik Olarak Makine Öğrenmesi Yöntemleri ile Öngörülmesi” Araştırmacı, Proje No: 2024-A-113-22 Başlama Tarihi: 14.06.2024 (YÖK ADEP, GTU113).

Ders Kodu	Ders Adı

• Third Cycle (Doctoral): Makine Mühendisliği (2026)
• Second Cycle (Master's): Enerji Sistemleri Mühendisliği (2018)
• First Cycle (Undergraduate): Makine Mühendisliği (2015)