جستجوی استاد راهنمای دانشگاهی

Asst. Prof. Zehra Evrim Kanat serves as an Assistant Professor in the Textile and Fashion Design Department at Canakkale Onsekiz Mart University's Faculty of Fine Arts since 2020, following research assistant roles at Tekirdağ Namik Kemal University (2014-2020) and Ege University (2009-2014). Her expertise bridges academic research and industry applications in textile engineering. Her educational foundation includes: Doctorate in Textile Engineering from Ege University (2008-2013) Postgraduate in Textile Engineering from Ege University (2005-2007) Undergraduate in Textile Engineering from Ege University (1997-2002) Dr. Kanat's research centers on textile engineering and design, with specialized focus on thermal and moisture management properties of fabrics. She investigates yarn technology, cloth construction, and smart textile applications to enhance comfort in sportswear and technical garments. Her methodological approach integrates artificial neural networks and statistical modeling for predictive analysis of fabric behavior under varying humidity conditions, contributing significantly to thermophysiological comfort research. Publication trends reveal consistent advancement in thermal resistance modeling of knitted and woven fabrics, with recent expansion into smart textiles for sports applications and biomimetic design principles. Her work demonstrates strong interdisciplinary connections between textile science, materials engineering, and functional apparel design. Her research leadership includes: EU-supported project on Textile Insights and Future Aspects (2023-2024) Study on Hatay Silk's fiber properties versus Chinese-Japanese hybrid silk (2022-2023) TUBITAK-funded expert system for woven fabric defect diagnosis (2017-2018) Multiple projects on moisture management properties of technical textiles Dr. Kanat actively contributes to academic discourse through peer review for leading textile journals and participates in interdisciplinary art exhibitions that explore cultural and historical textile narratives.

• Textile Engineering
• Textile Design
• Yarn Technology
• +۵ 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.

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

Selda Güney is an Assistant Professor in the Department of Electrical and Electronics Engineering at Başkent University's Faculty of Engineering. She holds a PhD (2013), Master's (2007), and Bachelor's (2004) in Electrical-Electronics Engineering from Karadeniz Technical University. Her professional experience includes roles as an R&D Engineer at DEKA Digital (2004-2005), Research Assistant at Karadeniz Technical University (2005-2013), and Assistant Professor at Başkent University (2013-present). Her research spans: Machine Learning : Applications in medical imaging, radar, and industrial systems Signal/Image Processing : Focus on real-time classification and fault detection Pattern Recognition : Electronic nose systems and biometric analysis Her recent publications demonstrate strong emphasis on deep learning applications in healthcare (chest X-ray classification, fracture detection) and industrial automation (real-time fault detection systems). Over 70% of her last 15 articles involve medical/industrial AI implementations using convolutional networks. Awards & Honors: TÜBİTAK Domestic PhD Scholarship IBEC ERASMUS Scholarship Research Leadership: Supervised 20+ graduate theses (e.g., radar data classification, medical image steganography) and led 9 R&D projects including: AI-based pathology classification in lung X-rays VR glove development Smart parking systems She is a member of IEEE and ISOCS, and teaches courses including Pattern Recognition, Signals and Systems.

• Machine Learning
• Signal Processing
• Image Processing
• +۳ مورد دیگر

İzzet Özdemir is an Associate Professor in the Department of Civil Engineering at Izmir Institute of Technology (IYTE). He holds a B.S. from Orta Doğu Teknik Üniversitesi, an M.S. from Universität Stuttgart, and a Ph.D. from Eindhoven University of Technology, all in Civil Engineering. His research focuses on advanced materials modeling, microscale mechanics, and fluid-structure interaction in biomedical and engineering applications. Key areas include crystal plasticity, strain gradient plasticity, and micromechanical modeling of size effects in materials processing. Education: B.S., Civil Engineering, Orta Doğu Teknik Üniversitesi M.S., Civil Engineering, Universität Stuttgart Ph.D., Civil Engineering, Eindhoven University of Technology Research emphasizes computational modeling of material behavior under extreme conditions, with recent work on magnetically driven micro-swimmers and fracture mechanics in polycrystalline systems. His publications span topics from microforming simulations to photocatalytic thin films. Publications reflect interdisciplinary strengths in mechanical engineering, materials science, and applied mathematics. Ongoing work explores bioinspired propulsion systems and nanoscale deformation mechanisms.

• Crystal Plasticity
• Strain Gradient Plasticity
• Fluid-Structure Interaction
• +۴ مورد دیگر

Assoc. Prof. Dr. Onur Behzat Tokdemir is an Associate Professor in the Civil Engineering Department at Istanbul Technical University (ITU), with prior affiliation at Middle East Technical University (METU). His expertise spans Construction Technologies, Project Management, and Construction Management, with a focus on integrating Artificial Intelligence (AI) and Machine Learning (ML) into infrastructure development. He holds a Ph.D. from Illinois Institute of Technology and has extensive industry experience in project management roles with firms like Renaissance Holding and Qatar Project Management. Education: B.Sc. from METU (1990-1995), M.Sc. from Illinois Tech (1995-1997), Ph.D. from Illinois Tech (1997-2003). His research emphasizes AI-driven solutions for construction safety, cost prediction, and digital twin applications. Notable projects include the EU-funded 'DIGITWINS4CIUE' and the strategic tender decision support system leveraging ML. Awards include the ITU Academic Performance Publication Award (2022-2024) and METU's Prof. Dr. Mustafa N. Parlar Award (2019). He has advised over 15 theses on topics like AI in safety assessment, labor efficiency prediction, and post-disaster housing frameworks. Active memberships include the American Society of Civil Engineers (ASCE) and the Chamber of Civil Engineers.

• Construction Technologies
• Project Management
• Construction Management
• +۵ مورد دیگر

Assoc. Prof. Dr. Süleyman KILIÇ is a faculty member at Ahi Evran University , where he serves in the Faculty of Engineering and Architecture , Department of Mechanical Engineering . He holds a PhD in Mechanical Engineering (2016) and an MSc (2009) from Niğde University, and a BSc (2006) from Kırıkkale University. Research Interests: Manufacturing Technologies Material Design and Behavior Finite Element Analysis Friction Stir Welding Advanced High-Strength Steels Springback Behavior Article Trends: Recent publications focus on friction stir welding of aluminum alloys, springback analysis in sheet metal forming, yield criteria modeling (Barlat89, Hill48), and temperature/strain rate effects on material properties. His work combines experimental testing with numerical simulations for automotive and aerospace applications. Scientific Awards: Best Presentation Award at 2nd International Mediterranean Science and Engineering Congress (2017) Advising: Supervised 4 Master's theses (2023-2024) on topics like agricultural tire technologies, friction stir welding, and springback optimization. Collaborated extensively with researchers on material testing and forming limit diagrams.

• Manufacturing Technologies
• Material Design and Behavior
• Finite Element Analysis
• +۳ مورد دیگر

Hakan AYDOĞAN is an Assistant Professor in the Department of Forest Industry Engineering at the Faculty of Forestry, Kastamonu University, Turkey, where he also serves as Institute Deputy Director since 2023. Previously, he worked as a Research Assistant at the same institution from 2015-2022. His educational background includes: PhD in Quantitative Methods from Marmara University (2017-2022) Master's Degree in Business Administration from Brunel University, England (2013-2014) BSc in Forest Industry Engineering from Bartın Faculty of Forestry, Bülent Ecevit University (2005-2009) Dr. Aydoğan's research focuses on Forest Industry Management, with particular emphasis on optimization techniques, statistical quality control, and time series analysis in the wood products industry. His interdisciplinary work bridges forestry engineering with business administration, applying quantitative methods to solve industry challenges. His publication record demonstrates strong expertise in predictive modeling, particularly using artificial neural networks and regression methods for industrial applications. His scholarly impact is reflected in citation metrics: 54 citations and h-index of 4 in Google Scholar. His research spans wood product manufacturing, economic growth analysis, heat transfer prediction, and statistical quality control methods, with a recent shift toward renewable energy applications in forestry. Scientific recognition: YLSY Scholarship (1416 Law) from Ministry of National Education (2010) Faculty and Department First Place Plaket from Bartin University (2009) Dr. Aydoğan has successfully led multiple research projects including TÜBİTAK-funded initiatives on data analysis methods in forestry (2023) and thesis proposal training for graduate students (2024). He has established a robust research network with 16 collaborators, most frequently working with Osman Emre Özkan, Mustafa Öncel, and Hasan Vurdu. His teaching portfolio includes graduate courses in Optimization Techniques, Statistical Quality Control, and Advanced Statistics in Forest Industry, alongside undergraduate courses in Production Planning, Operations Research, and Investment Planning.

• Forest Industry Management
• Time Series Analysis
• Operations Research
• +۵ مورد دیگر

Tuğba Süzek is an Associate Professor in the Department of Computer Engineering at Muğla Sıtkı Koçman University, Turkey. She holds a PhD in Bioinformatics from George Mason University (2012), an MSc from Johns Hopkins University (2000), and a BSc from Middle East Technical University (1997). Academic Background: BSc: Computer Engineering, Middle East Technical University (1993-1997) MSc: Bioinformatics, Johns Hopkins University (1998-2000) PhD: Bioinformatics, George Mason University (2003-2012) Research Interests center on bioinformatics , machine learning in healthcare , cancer genomics , transcriptomics , and molecular data analysis . She develops tools like TCGAnalyzeR for pan-cancer cohort discovery and CompCorona for coronavirus transcriptome analysis. Recent Articles span lung cancer pathogenesis, orthodontic malocclusion prediction, microbiome-host disease associations, and AI-driven diagnostic tools. Her work bridges cheminformatics and bioinformatics for drug repurposing. Scientific Awards ORISE Fellowship (2000) Patent Holder: System for Early Diagnosis of Skeleton Syndromes (2024) Advising and Grants include supervising student theses on AI in orthodontics and molecular cancer research . She leads EU-funded projects like Intraperitoneal immune modulation and TÜBİTAK grants for drug repurposing and neurodegenerative disease analysis .

• Bioinformatics
• Machine Learning in Healthcare
• Cancer Genomics
• +۳ مورد دیگر

Murat Pala is a Professor of Civil Engineering at Adiyaman University's Faculty of Engineering. He holds a Doctorate from Sakarya University (2004) and has served as Dean of the Engineering Faculty at Adiyaman University (2014–2016, 2019–present). His research focuses on structural engineering, materials science, and applications of artificial neural networks in civil engineering. Key areas include soil-structure interaction, cold-formed steel analysis, and renewable energy systems. Education: Ph.D., Natural Sciences, Sakarya University (1997–2004) M.Sc., Natural Sciences, Sakarya University (2001–2006) B.Sc., Civil Engineering, Sakarya University (1997–2001) Research interests span structural dynamics, material behavior under load, and computational modeling. Notable contributions include formulations for distortional buckling stress in steel structures and neural network-based prediction models for concrete properties. He has authored over 20 peer-reviewed articles, with recent work on earthquake damage assessment and solar pond insulation effects. Administrative roles include Dean of Engineering (Adiyaman University) and editorships at journals like Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi . His professional experience includes academic leadership at Kilis 7 Aralık University and Gaziantep University.

• Structural Engineering
• Civil Engineering
• Materials Science
• +۴ 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.

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

Prof. OĞUZ ÇİLİNGİR is a distinguished academic at Eskisehir Osmangazi University , serving as Professor (2025–Present) in the Department of Medical Genetics within the Medical Faculty . He previously held roles including Associate Professor (2021–2025), Assistant Professor (2006–2021), and Lecturer (2004–2006). He has been Head of Department since 2025 and Director of the Center since 2008. Education: PhD in Medical Genetics from Eskisehir Osmangazi University (2001); MD from İstanbul University-Cerrahpaşa, Cerrahpasa Faculty of Medicine (1992). His research focuses on Medical Genetics , Clinical Medicine , Molecular Genetics , and Cytogenetics , with over 297 publications. Key themes include pediatric cardiomyopathies , autoimmune syndromes , cardiac amyloidosis , and chromosomal abnormalities . He has supervised 13 theses, including PhD and postgraduate studies. Notable Research Trends: He investigates genetic variants in congenital heart defects , neurogenetic disorders , and cancer prognosis , with a focus on lncRNAs , miRNAs , and gene-environment interactions . His work spans genetic counseling , epigenetics , and population-specific mutations . Non-Academic Experience: PhD research at East London University (1993–1994).

• Medical Genetics
• Clinical Medicine
• Genetic Counseling
• +۴ مورد دیگر

Gökalp Güzel serves as Assistant Professor of Cardiovascular Surgery at Gaziantep University Faculty of Medicine, specializing in complex cardiac and vascular interventions with emphasis on clinical outcomes optimization. His academic role integrates surgical practice, research, and medical education within Turkey's public health system. Educational background includes: Medical Degree: Atatürk University Faculty of Medicine (1985-1993) Specialization: Cardiovascular Surgery, Gaziantep University (2007-2013) Health Management: Anadolu University (2017-2020) International Relations: Anadolu University (2020-2023) Research focuses on translational cardiovascular surgery with expertise in mechanical circulatory support, hybrid vascular techniques, and battlefield vascular trauma management. His work bridges clinical innovation and evidence-based protocol development for resource-constrained environments, particularly evident in military operation surgical experiences. Publication analysis reveals consistent contributions to cardiovascular literature since 2011, with recent emphasis on heart failure prognosis and carotid stenting outcomes. The portfolio demonstrates methodological rigor in evaluating both conventional and novel surgical interventions across diverse clinical scenarios from congenital defects to complex aortic pathologies. Professional leadership includes dual roles as Cardiovascular Surgery Clinic Administrative Manager at Gaziantep Dr. Ersin Arslan Hospital (2016-2018, 2022-2023) and Ministry of Health specialist physician (2013-2023), complemented by teaching First Aid and Medical Ethics courses that reflect his commitment to holistic surgical education.

• Cardiovascular Surgery
• Vascular Surgery
• Heart Failure
• +۳ مورد دیگر

Dr. Memik Bünyamin Üzümcü is an Assistant Professor at the Faculty of Fine Arts, Department of Textile and Fashion Design at Gaziantep University. With a PhD in Textile Engineering from Ege University (2017), he focuses on Textile Engineering , Fiber Technology , Sustainable Textiles , and Fiber Art . Education: PhD (2017), MSc (2011), BSc (2009) from Ege University Current Role: Assistant Professor at Gaziantep University (since 2019) Previous Roles: Research Assistant at Ege University (2010-2018), Bartin University (2009-2010) Research Interests include: Yarn and fabric technology Natural fiber applications Sustainable textile production Fiber-art intersections Recycling textile wastes Predictive modeling in textile quality Recent Research Trends show emphasis on: UV resistance in coated fabrics Recycled cotton fiber performance Natural dye-fiber interactions Plant-based fiber developments Compact yarn defect prediction Medical textile structures Scientific Recognition : RIETER Award (2016) Project Prize from Uludağ Textile Exporters' Association (2013) Academic Leadership : Dean's Assistant at Gaziantep University (2022-). Supervised 4 master's theses and contributed to 11 research projects.

• Textile Engineering
• Fiber Technology
• Textile Technology
• +۳ مورد دیگر

Dr. Atilla SUNCAK serves as an Assistant Professor in the Department of Computer Technologies at Kastamonu University's Vocational School, where he has held academic positions since 2014. Initially appointed as a Lecturer until 2025, he was promoted to his current rank in 2025. His expertise spans artificial intelligence applications with a specialized focus on Turkish language processing. His academic credentials include: PhD in Computer Engineering, Dokuz Eylül University (2016-2022) MSc in Computer Engineering, Dokuz Eylül University (2012-2016) BSc in Computer Engineering, Dokuz Eylul University (2007-2012) Dr. SUNCAK's research concentrates on Artificial Intelligence, Data Mining, and Machine Learning with distinctive emphasis on Natural Language Processing for Turkish. His work develops computational methods for detecting defective expressions in Turkish sentences and implements machine learning solutions across diverse domains including hospitality analytics and environmental education through mobile applications. His 11 publications since 2014 demonstrate consistent advancement in Turkish NLP, with recent works (2023-2025) focusing on deep learning optimization for language understanding. The research trajectory shows increasing sophistication in hyperparameter tuning and hybrid modeling approaches while expanding into practical applications like tree species identification and customer satisfaction prediction. No scientific awards or honors are documented in his academic record. While he has not supervised any thesis students, Dr. SUNCAK contributed as a researcher to the TÜBİTAK-funded project 'ÇAGRISIM: Educational Game for Developing Turkish and the Individual' (2013-2015). His teaching portfolio encompasses 104 courses including Object-Oriented Programming, Data Mining, and Mobile Programming. He maintains active research collaborations with Özlem Aktaş (9 joint publications), Çağdaş Can Birant (3 publications), and emerging partnerships with Fatma Selin Sak and Hilal Öztay Çağan, focusing on interdisciplinary applications of NLP and educational technology.

• Artificial Intelligence
• Data Mining
• Machine Learning

Prof. Dr. Kerem Pekkan serves as a Professor in the Department of Mechanical Engineering at Koç University's College of Engineering, where he leads groundbreaking research at the intersection of cardiovascular engineering and biomechanics. His exceptional contributions to science were recognized with the prestigious METU Parlar Foundation 2020 Science Award, highlighting his impact on advancing pediatric cardiovascular solutions. His research spans cardiovascular engineering, biomechanics, congenital heart disease, pediatric cardiology, and AI-driven medical imaging. Pekkan focuses on developing patient-specific computational models and medical devices for congenital heart defects, particularly Tetralogy of Fallot and Fontan circulation. His work integrates advanced MRI techniques, fluid-structure interaction modeling, and machine learning to optimize surgical outcomes for pediatric patients. Analysis of his 15 most recent publications (2023-2025) reveals a dominant trend toward AI-enhanced cardiovascular diagnostics and device innovation. Key themes include machine learning applications in cardiac tissue characterization, novel valve designs for neonatal reconstruction, and hemodynamic optimization of Fontan procedures using 4D flow MRI. His research consistently bridges engineering principles with clinical cardiology to address unmet needs in pediatric cardiovascular care. Scientific Awards: METU Parlar Foundation 2020 Science Award As a core faculty member in Koç University's Mechanical Engineering department, Pekkan actively supervises graduate students through numerous Master's and PhD thesis projects focused on cardiovascular biomechanics. His research is supported by competitive grants enabling advanced in-vitro testing facilities and computational resources. Current projects include AI-based clinical decision tools and genetically modified bioprosthetic valves. He directs a specialized cardiovascular fluid mechanics laboratory equipped for particle image velocimetry, 3D tissue mapping, and patient-specific phantom modeling. The team collaborates closely with medical institutions to translate engineering innovations into clinical practice, with ongoing work on self-powered ventricular assist devices and personalized surgical planning systems.

• Cardiovascular Engineering
• Biomechanics
• Congenital Heart Disease
• +۳ مورد دیگر