جست‌وجوی استاد و پژوهشگر

Beyza EKENمشاهده پروفایل

استادیار

• Software Defect Prediction
• Natural Language Processing
• Machine Learning in Software Engineering
• +۲ مورد دیگر

Beyza Eken serves as Assistant Professor in the Department of Software Engineering at Sakarya University's Faculty of Computer and Information Sciences, teaching core courses including Software Project Management, Natural Language Processing, and Graduation Projects while maintaining active research in software engineering and AI applications. Her academic credentials include: Doctorate in Computer Engineering from Istanbul Technical University (2015), thesis: "Software Defect Prediction" Master's in Computer Engineering from Istanbul Technical University (2011-2015), thesis: "Entity Name Recognition in Short Texts" Bachelor's in Computer Engineering from Sakarya University (2007-2011) Dr. Eken's research integrates machine learning with software engineering, specializing in defect prediction models that incorporate personalized developer factors and industrial deployment challenges. Her work bridges natural language processing for Turkish social media analysis with software quality assurance, demonstrating expertise in both theoretical modeling and practical implementation in industrial settings. Recent expansions include neuro-symbolic AI for test oracle generation and MLOps frameworks. Publication trends reveal consistent focus on empirical software engineering from 2018-2021 (defect prediction, community smells, industrial deployment), evolving into cutting-edge domains by 2023-2025 (neuro-symbolic testing, employee feedback analysis, MLOps). Her work shows strong industry-academia collaboration patterns with increasing methodological sophistication. Dr. Eken actively contributes to academic service as reviewer for ACM Transactions on Software Engineering and Methodology (2024) and IEEE Transactions on Software Engineering (2023). She leads research projects including "Developer-specific error prediction modeling" (2020) and the Mevlana exchange project with Ryerson University on data mining for defect prediction (2018), while supervising graduation projects and research area courses that develop student expertise in software engineering practices. Her international research engagement includes participation in the ASTERIx project at Università della Svizzera Italiana's Software Testing and Analysis Research Group (2023), demonstrating ongoing commitment to global collaboration in software engineering advancements.

Ayşe Tosun Kühnمشاهده پروفایل

دانشیار

• Software Engineering
• Software Quality
• Defect Prediction
• +۹ مورد دیگر

Ayşe Tosun Kühn is an Associate Professor in the Department of Computer Engineering at Istanbul Technical University (ITU), where she also serves in administrative roles such as Deputy Dean and Management Board Member of the ITU Artificial Intelligence and Data Science Application and Research Center. She earned her Ph.D. in Computer Engineering from Boğaziçi University and has held academic positions at Sabancı University and the University of Oulu. Her research lies at the intersection of software engineering, empirical methods, and data science, with a focus on software quality, defect prediction, technical debt, vulnerability analysis, and test-driven development. She leads numerous funded research projects, including those supported by TÜBİTAK and industry collaborations, applying machine learning and reinforcement learning to software engineering challenges. Her recent publications reflect a strong trend in applying advanced machine learning techniques—particularly deep learning and reinforcement learning—to problems in software analytics, developer behavior modeling, and delivery optimization. She has made significant contributions to empirical studies on test-driven development, defect prediction models, and vulnerability detection in code. Her work is frequently published in high-impact journals such as IEEE Transactions on Software Engineering, Empirical Software Engineering, and Journal of Systems and Software. She has served as a guest editor and editorial board member for the Turkish Journal of Electrical Engineering and Computer Sciences , and has contributed book chapters on data science in software engineering. Her research has been cited over 1,700 times, with an h-index of 23. Scientific Awards: None explicitly mentioned. She advises several graduate students and has collaborated extensively with researchers in Turkey and internationally. She has also contributed to industry applications through projects on software measurement, defect prediction, and AI-based analytics. She is actively involved in organizing and contributing to major software engineering conferences and workshops. She is a key member of ITU’s AI and Data Science initiatives, contributing to both academic research and practical implementations in software engineering.

Muhammed Kotanمشاهده پروفایل

استادیار

• Artificial Intelligence
• Computer Software
• Image Processing
• +۱۳ مورد دیگر

Muhammed Kotan is an Assistant Professor at the Department of Information Systems Engineering , Sakarya University , where he has served since 2022. His academic career includes roles as a Research Assistant (2011–2022) at Sakarya University and Afyon Kocatepe University. He holds a PhD in Computer and Information Engineering (2020), an MSc in Computer and Information Engineering (2014), and a BSc in Computer Engineering (2011) from Sakarya University. Research Interests : Artificial Intelligence, Computer Software, Image Processing, Machine Learning, Computer Vision, Medical Imaging, Energy Efficiency Optimization, Natural Language Processing, Sentiment Analysis, Feature Selection, 3D Reconstruction, Industrial Machine Detection, Optimization Algorithms, Real-Time Systems, User Reviews Analysis, E-Commerce Analytics. Key Contributions : Developed hybrid methods for 3D reconstruction and industrial machine defect detection, optimized tow train routing in manufacturing, and applied Marine Predators Algorithm for mental health screening. Scientific Recognition : Awarded the Eğitim Öğretimde Üstün Başarı Ödülü by Sakarya University (2024). Served as editor for the Sakarya University Journal of Computer and Information Sciences (2023–2024) and peer reviewer for journals like Signal, Image and Video Processing and Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi . Advising : Co-advisor for TÜBİTAK projects (2022–2024) and supervised student research on topics like cosmetic product recognition, natural language processing, and sentiment analysis. Designed courses in Digital Image Processing, Text Mining, and Advanced Information Systems.

Feza Buzlucaمشاهده پروفایل

دانشیار

• Computer Software
• Computer and Communication Networks
• Object-Oriented Modeling
• +۴ مورد دیگر

Assoc. Prof. Feza Buzluca is affiliated with Istanbul Technical University as an Associate Professor in the Faculty of Computer and Informatics, Department of Computer Engineering . His academic career spans over two decades at ITU, including administrative roles like Vice Dean (2015-2018) and Faculty Board Membership (2016-). PhD in Control and Computer Engineering from Istanbul Technical University Fields: Computer Software, Communication Networks, Object-Oriented Modeling, Microservices His research focuses on software quality assessment , particularly for microservices architectures using fuzzy logic and code metrics. He explores object-oriented systems through machine learning for defect prediction, module extraction, and design pattern analysis. Recent work includes embedded software testing prioritization and cognitive radio network optimization . Key projects: Personal website and ORCID profile highlight 41 research outputs (2001-2024) and 1 project on microservices-based e-payment systems . Collaborations span IEEE/ACM conferences and journals like Journal of Systems and Software . Contact: Office 4318, Ayazaga Campus, 34000 Istanbul | buzluca@itu.edu.tr

SERHAT KILIÇARSLANمشاهده پروفایل

دانشیار

• Data Mining
• Machine Learning
• Bioinformatics
• +۲ مورد دیگر

Serhat Kiliçarslan is an Associate Professor at the Software Engineering Department of Bandırma Onyedi Eylül Üniversitesi, Faculty of Engineering and Natural Sciences. He also serves as Deputy Director of the Distance Education Application and Research Center and Deputy Head of the Software Engineering Department. His academic roles include Doctor Lecturer at Bandırma Onyedi Eylül Üniversitesi and Lecturer positions at Gaziosmanpaşa University since 2012. Education: No formal education details provided in the text. His research focuses on data mining, machine learning, bioinformatics, deep learning, and image processing. Key areas include feature extraction methods for agricultural pest classification, medical image analysis using deep learning architectures, and development of novel activation functions for neural networks. His work bridges computer science with applications in healthcare, agriculture, and industrial quality control. Recent publications (2023–2025) highlight advancements in AI-driven solutions for medical diagnosis (e.g., glaucoma, melanoma), agricultural product classification (hazelnuts, apples), and material science modeling. His research emphasizes hybrid approaches combining optimization algorithms with deep learning frameworks. Statistical Contributions: 41 articles (out of 329), 31 papers/congresses (out of 185), and 4 books/chapters (out of 46) within his department attributed to his work. No scientific awards or grant details are mentioned in the provided text. He holds student office hours on Tuesdays 11:00–13:00.

• Artificial Intelligence
• Machine Learning
• Medical Imaging
• +۳ مورد دیگر

Begüm Şener is a Research Assistant in the Department of Computer Engineering at Başkent University, focusing on artificial intelligence and machine learning applications in medical imaging and software engineering. She holds both a Master's (2020) and Bachelor's (2016) degree from Başkent University in Computer Engineering. Research Focus: Combines deep learning with medical diagnostics for Alzheimer's disease, diabetes, breast cancer, and brain cancer detection through imaging and statistical analysis. Technical Expertise: Applies machine learning techniques to software bug prediction using object-oriented metrics and software metrics. Publication Output: 6 journal articles and 31 conference papers with an H-index of 5, demonstrating consistent interdisciplinary contributions. Journal Roles: Acted as a peer reviewer for multiple journals including Journal of Engineering and Applied Science (2024) and Gazi University Journal of Science Part C (2024).

Kemal Gökhan NALBANTمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Fuzzy Decision-Making Systems
• +۳ مورد دیگر

Kemal Gökhan NALBANT is an Assistant Professor at the Department of Software Engineering, Faculty of Engineering and Architecture, Istanbul Beykent University, and serves as Deputy Director of the Institute of Science. His academic career spans multiple institutions including Istinye University and Istanbul Beykent University. Assistant Professor (2019–Present) Deputy Director, Institute of Science Published in 25+ international/national journals Active in 5G, AI, and Metaverse research Research focuses on Artificial Intelligence and Fuzzy Decision-Making Systems applied to: Digital Marketing & Metaverse Textile Defect Detection Campus Environment Design Renewable Energy Optimization Industrial IoT Reliability Recent articles emphasize machine learning and interval type-2 fuzzy methodologies across diverse domains. Collaborates with researchers in Turkey, China, and international networks. No scientific awards recorded in available texts.

Ferdi DOĞANمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Ferdi Doğan is an Assistant Professor in the Department of Computer Engineering at Adıyaman University. He holds a PhD in Software Engineering (2021, Fırat University), an MSc in Computer Systems (2012, Sakarya University), and a BSc in Computer Systems (2002, Selçuk University). His research focuses on artificial intelligence, machine learning, deep learning, image processing, and cybersecurity. He has led TÜBİTAK projects on AI-driven solar panel defect detection, SCADA system security, and post-earthquake psychological analysis using AI. He is a member of IEEE and ACM, and has presented at over 10 international conferences. Professional Experience: Joined Adıyaman University as a Lecturer in 2007, became Department Head (2011-2019), and is currently Director of the Research and Application Center. He advises graduate theses and consults on TÜBİTAK projects. His applied research includes AI in agriculture, solar energy, and SCADA security algorithms. Teaching: Courses include Artificial Neural Networks, Internet Programming, and Software Engineering. He has taught at both undergraduate and graduate levels since 2002, with over 50 recorded courses in programming, algorithms, and web design. Awards: No specific awards listed but has secured TÜBİTAK grants and participated in international projects. His work has been cited over 12 times in peer-reviewed journals.