جست‌وجوی استاد و پژوهشگر

Güven Kömürgöz Kırışمشاهده پروفایل

استاد

• Transformer Design
• Electromagnetic Analysis
• Entropy Generation
• +۵ مورد دیگر

Güven Kömürgöz Kırış is a Professor at Istanbul Technical University in the Department of Electrical Engineering . His work focuses on transformer design, electromagnetic analysis, and power systems optimization, with significant contributions to thermal management and insulation technologies. Research Interests: Transformer design and performance evaluation under varying ambient temperatures Leakage reactance and impedance modeling Finite element analysis for electromagnetic stress distribution Economic and technical comparison of transformer types (oil-immersed vs. dry-type) Motor design for hybrid and electric vehicles Recent Article Trends emphasize thermal analysis, insulation efficiency, and electromagnetic force modeling in transformers. His 2025 publications explore ambient temperature impacts and material comparisons, while 2024 work quantifies leakage impedance variations. Scientific Awards Recipient of Istanbul Technical University LEE Award Program (2022) Recipient of Istanbul Technical University Award Program (2022, 2023) Key Projects Leakage Inductance Modeling in Transformers (2020-2022) Reluctance Motor Design for EVs (2018-2019) BAP-funded Winding Technique Optimization (2016) TÜBİTAK Hybrid Vehicle Motor Modeling (2015-2018)

• Computational Biology
• Systems Biology
• Computer Science
• +۳ مورد دیگر

Andreas Wagner is a researcher affiliated with Helmholtz-Zentrum Dresden-Rossendorf , with a focus on interdisciplinary research spanning computational biology, systems biology, computer science, and materials science. His work explores genotype-phenotype mappings, evolutionary innovation, and robustness in biological systems, while also contributing to machine learning, numerical methods, and positron annihilation spectroscopy in physics. Wagner collaborates internationally, with co-authors from institutions in Germany, Austria, Finland, and beyond. Research Interests : Wagner's research bridges computational biology and systems biology, analyzing evolutionary processes through genotype networks, metabolic innovation, and gene regulatory circuits. He applies machine learning techniques to energy systems, such as solar power forecasting in federated learning frameworks. His physics work involves positron annihilation spectroscopy for material defect analysis, particularly in alloys and thin films. Publications & Data Science : He has published extensively on topics like robust numerical algorithms, adaptive cruise control optimization, and data-driven approaches for systematic reviews. His recent work includes matrix-free preconditioning methods and physics-regularized multi-modal image assimilation for medical imaging. Wagner contributes to open data initiatives, including datasets on radiation damage and material porosity via RODARE.