جستجوی استاد راهنمای دانشگاهی

FEYYAZ KOÇمشاهده پروفایل

پژوهشگر

• Renewable Energy
• Energy Harvesting
• Triboelectric Nanogenerators
• +۲ مورد دیگر

FEYYAZ KOÇ serves as a Research Assistant at Bingöl University's Faculty of Engineering and Architecture since 2015, concurrently pursuing his doctorate in Renewable Energy Systems. His academic foundation includes a Licence in Electrical and Electronics Engineering from Gediz University (2010-2015) and an MSc in Renewable Energy Systems from Bingöl University (2019-2021). His research expertise centers on renewable energy systems with specialized focus on triboelectric nanogenerators for energy harvesting. KOÇ pioneers material optimization techniques using boron minerals, pumice, and functionalized silicone to enhance nanogenerator efficiency, while bridging electrical engineering with machine learning applications for electrical device classification and smart grid solutions. Recent publication trends (2021-2025) reveal concentrated advancements in triboelectric nanogenerator technology, with significant contributions in high-impact journals like Nano Research and Energy Technology. His work demonstrates evolving sophistication from fundamental stability analysis (2016) to cutting-edge material science applications. As an active researcher with ongoing doctoral studies, KOÇ maintains strong research momentum through conference engagements like SENSDETECH 2025. His work operates within Bingöl University's Renewable Energy Systems framework, focusing on practical energy solutions without dedicated lab infrastructure specified in current documentation.

• Algorithmic Game Theory
• Graph Theory
• Approximation Algorithms
• +۵ مورد دیگر

Buğra Çaşkurlu is an Assistant Professor in the Department of Artificial Intelligence Engineering at TOBB University of Economics and Technology, where he has been affiliated since 2014. Previously, he served as a Postdoctoral Research Associate at West Virginia University (2010-2013). He holds a PhD and MS in Computer Science from Rensselaer Polytechnic Institute, and a BS from Bilkent University. His research spans algorithmic game theory , graph theory , and approximation algorithms , with applications in network design, operations research, and computer security. Key focus areas include equilibrium computation, coalition formation, resource allocation, and optimization in networked systems. His publications demonstrate consistent focus on game-theoretic modeling and algorithmic solutions, with recent work exploring Nash equilibria, social coalition structures, and security-aware systems. Earlier contributions address combinatorial optimization and network coding challenges.

• Artificial Intelligence
• Medical Artificial Intelligence
• Image Processing
• +۳ مورد دیگر

Ali Erbey serves as a Lecturer at Usak University's Vocational School of Distance Education, Department of Computer Technologies, holding academic positions continuously since 2013 with promotion to Lecturer PhD in 2025. He concurrently holds significant administrative roles including Head of Department (2015-2020, 2024-Present) and Assistant Director of Vocational School (2020-Present). His research specialization centers on Artificial Intelligence applications in medical contexts, evidenced by dedicated courses in Medical AI I/II alongside Image Processing and advanced programming disciplines. Teaching portfolio spans 22 undergraduate courses including core computer science subjects like Algorithms, Data Structures, and Software Architectures, with emerging focus on 3D Modeling and medical informatics systems. No scientific awards or grant activities are documented in available records. Administrative leadership dominates his professional trajectory, with no student advisement details provided. Current responsibilities integrate academic instruction with institutional management within Turkey's vocational higher education framework.

Huseyin GUNERمشاهده پروفایل

مدرس

• Bioinformatics
• Computational Biology
• Proteomics
• +۷ مورد دیگر

Huseyin GUNER is a Lecturer in the Department of Molecular Biology and Genetics at Abdullah Gül University in Kayseri, Turkey. With a strong background spanning physics, computer science, and molecular biology, he bridges computational approaches with biological research to tackle complex scientific questions. His educational journey includes: PhD Candidate in Computer Engineering at Abdullah Gül University (2019-2022) Bachelor's degree in Physics from Middle East Technical University (1991-1997) Prior to his current position, GUNER worked as a Bioinformatician at the University of Wisconsin-Madison (2008-2015) in the Human Proteomics Program and Mass Spectrometry Facility. His research expertise spans bioinformatics, computational biology, proteomics, and mass spectrometry, with significant contributions to software development for proteome analysis including MASH Suite Pro and the recently developed BrAIn system for brain organoid analysis. His interdisciplinary approach integrates artificial intelligence with molecular biology to address challenges in drug discovery, cancer biology, neuroscience, and stem cell research. Analysis of GUNER's publication record reveals a consistent focus on developing and applying computational methods to biological problems. His work demonstrates expertise in both theoretical algorithm development and practical experimental validation. Recent publications show increasing emphasis on AI applications in neuroscience and continued contributions to proteomics methodology. His research has practical implications for drug discovery, disease modeling, and diagnostic tool development, particularly in areas like inflammatory bowel disease treatment, multiple sclerosis therapy, and cancer immunotherapy. GUNER has published 27 scientific articles that have garnered 9,253 reads and 817 citations, indicating substantial impact in his research areas. His collaborative network spans multiple disciplines and institutions including Johns Hopkins Medicine, Izmir International Biomedicine and Genome Institute, and University of Wisconsin-Madison. As a lecturer, GUNER contributes to academic training in molecular biology and genetics while maintaining an active research program. His unique background in physics, computer science, and molecular biology enables him to approach complex biological problems from multiple perspectives, fostering innovative solutions at the intersection of computational and experimental biology.