جستجوی استاد راهنمای دانشگاهی

• Mechanical Engineering
• Finite Element Methods
• Materials Science
• +۷ مورد دیگر

Mine Uysal is a Researcher at Yıldız Technical University, Faculty of Mechanical Engineering, Department of Mechanical Engineering. Her academic journey includes a BSc (2005), MSc (2010), and PhD (2015) in Mechanical Engineering from Pamukkale University and Yıldız Technical University, respectively. She began postdoctoral research at the University of Kentucky (College of Engineering) in 2017. PhD, Mechanical Engineering (2015, Yıldız Technical University) MSc, Mechanical Engineering (2010, Pamukkale University) BSc, Mechanical Engineering (2005, Pamukkale University) Her research focuses on advanced materials behaviors, including functionally graded materials, polymers, adhesively bonded joints, and finite element modeling for engineering systems. Key areas include composite structures, thermal/mechanical loading effects, and sustainable manufacturing techniques like nanofluid-assisted machining. Scientific contributions include 15 recent articles spanning topics such as delamination analysis in bonded beams, sustainable machining optimization, buckling behavior of graded polymers, and fracture mechanics in composite materials. Her work integrates finite element methods with experimental validation for adhesive joints and sandwich structures. Collaborative projects include research funded by The Scientific and Technological Research Council of Turkey (TUBITAK) and international postdoctoral work at the University of Kentucky.

• Cybersecurity
• Maritime Cyber Risk Assessment
• Dynamic Positioning Systems
• +۱۲ مورد دیگر

Pelin Bolat is an Associate Professor in the Department of Fundamental Sciences at Istanbul Technical University (ITU), College of Maritime Studies. She is actively engaged in maritime cybersecurity, risk assessment, and maritime safety research. Her work is supported by multiple BAP and EU-funded projects, with ongoing research extending into 2025. Her research interests include cybersecurity in maritime navigation systems, dynamic positioning, port state control, and GHG emissions in the maritime sector. She applies advanced methodologies such as fuzzy FUCOM, CORAS framework, and association rule mining to analyze cyber and operational risks. Her recent publications (2023–2025) reflect a strong trend in maritime cybersecurity, focusing on ECDIS, RADAR, ransomware, and cyber hygiene. These works span high-impact journals in maritime engineering and technology, demonstrating interdisciplinary engagement with computer science, safety engineering, and policy analysis. She serves as a principal investigator on several key projects, including cyber risk assessment of bridge navigation equipment and system dynamic modeling of maritime GHG emission measures. She also mentors 15 theses in progress, indicating her active role in student supervision. Her collaborative network includes researchers like Gökhan Kayişoğlu and international partners. While no formal awards are listed, her leadership in EU and BAP projects underscores her academic prominence.

• Fuzzy Logic
• Multi-criteria Decision Making
• Decision Science
• +۳ مورد دیگر

Başar Öztayşi is a Professor at the Department of Industrial Engineering , Istanbul Technical University , with expertise in fuzzy logic, multi-criteria decision making, and decision science. He has held administrative roles including Associate Professor (2017–present), Deputy Director of the Institute (2016–2017), and Assistant Professor (2013–2017). Fields of Study : Fuzzy Logic, Multi-criteria Decision Making, Decision Science Contact : oztaysib@itu.edu.tr , +90 212 293 1300 Research Interests focus on applying fuzzy set theory to complex decision problems, including financial management, risk assessment, and smart city energy systems. His work extends to industry 4.0 applications and process mining in e-commerce. Recent Publications (2024) analyze fuzzy approaches in financial management, risk assessment, and Industry 4.0, with subfields spanning bibliometric trends, allocation optimization, and sustainable energy planning. Earlier works explore AHP matrix consistency, file distribution models, and customer segmentation. Awards : Best Paper Award, FLINS 2018 Science - Art Awards

• Natural Language Processing
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Tuğba Dalyan is an Associate Professor in the Department of Computer Engineering at Istanbul Bilgi University, Faculty of Engineering and Natural Sciences. She holds a Ph.D. in Computer Engineering from Yıldız Technical University (2014), an MSc from Kocaeli University (2007), and dual BSc degrees in Mathematics and Computer Science and Business Administration (Minor) from Istanbul Bilgi University (2003). She has been a faculty member since 2016 and previously served as a Teaching Staff member and Research Assistant at the same institution. Her research focuses on Natural Language Processing , Machine Learning , Deep Learning , Text Mining , Data Science , and Big Data Analytics . Her work spans computational linguistics, sentiment analysis, author profiling, machine translation, and smart systems. She has led and contributed to numerous research projects, particularly in AI-driven urban solutions and health technologies. The most recent publications show a strong trend in Turkish NLP, zero-shot classification, multimodal AI (image captioning), emotional robotics, and decision support systems using fuzzy logic. Her work combines theoretical rigor with practical applications in smart cities, education, and healthcare. Best Paper Award , CICLing 2012 TÜBİTAK 2209-A student project awards (2022–2024) Horizon2020 Eşik Üstü Ödülü , MIMOSCSA 2024 TÜBİTAK 2242 competition: 2nd and 3rd place (2016, 2018) She has advised numerous student research projects, many of which have received national recognition. She has directed multiple TÜBİTAK and institutional research grants, including projects on smart homes, blockchain crowdfunding, mental health, and AI for social polarization. Her leadership roles include Head of Department, Vice Dean, and Director of Graduate Programs. Tuğba Dalyan leads research in AI and NLP with a strong emphasis on Turkish language technologies. She is involved in interdisciplinary teams working on emotional robots, smart city platforms, and citizen science ecosystems. Her lab activities focus on neural networks, text analysis, and intelligent systems development.

Emre Seferمشاهده پروفایل

دانشیار

• Bioinformatics
• Machine Learning
• Financial Networks
• +۳ مورد دیگر

Dr. Emre Sefer is an Associate Professor at the Faculty of Engineering, Özyeğin University, specializing in machine learning and bioinformatics. He holds a Ph.D. in Computational Biology from Carnegie Mellon University (2015), an M.S. in Computer Science from University of Maryland College Park (2011), and a B.S. in Computer Engineering from Boğaziçi University (2008). His research bridges graph machine learning with financial networks, bioinformatics, and data engineering. Ph.D.: Computational Biology, Carnegie Mellon University M.S.: Computer Science, University of Maryland College Park B.S.: Computer Engineering, Boğaziçi University Research focuses on applying machine learning to financial and biological networks: Bioinformatics : 3D genome modeling, protein modifications, transcriptomic analysis Graph Machine Learning : GNNs for fraud detection, drug response prediction, and network evolution Financial Networks : Cryptocurrency investment strategies, asset price prediction His lab (OzU Machine Learning in Finance and Bioinformatics Lab) develops graph-based deep learning methods for cross-domain applications, including NFT market analysis and chromatin structure prediction. He received the Best research paper award at Recomb 2016 for work on 3D genome architecture. Former postdoc at CMU Machine Learning Department Industry experience as Quantitative Strategist at Goldman Sachs and JPMorgan

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۵ مورد دیگر

Prof. Dr. Mehmet Reşit Tolun is a full-time Professor in the Department of Software Engineering at Çankaya University (Turkey) since 2022. Previously held full-time professor positions at Konya Food and Agriculture University (2020-2022), Aksaray University (2013-2017), and TED University (2011-2013), along with a part-time professorship at Başkent University (2017-2020). Specializes in Artificial Intelligence , Machine Learning , and Data Mining , with a focus on deep learning applications in aerospace, biomedical data analysis, and software process improvement. PhD in Computer Science (University of Kent, 1985) MSc in Computer Science (University of Kent, 1982) BSc in Physics and Computer Science (University of Kent, 1981) Research Interests span deep learning frameworks, hybrid expert systems, software engineering methodologies, and biomedical signal processing. Publications emphasize practical implementations in medical diagnostics, robotics, and agricultural pest detection. Scientific Awards include the IEEE Third Millenium Medal (2000). Supervised over 55 graduate students, including Burak Çetin, Uğur Özotuk, and Mahinur Doğan. Collaborated with researchers from Orta Doğu Teknik Üniversitesi , Çankaya University , and Aksaray University .

Özlem İlk Dağمشاهده پروفایل

استاد

• Longitudinal Data Analysis
• Multilevel Modeling
• Interactive Graphics
• +۵ مورد دیگر

Prof. Dr. Özlem İlk Dağ is a Professor of Statistics at the Middle East Technical University (METU), Ankara, Turkey. She holds the position of Department Head of Statistics and serves on advisory boards for TUBITAK and the Journal of Biostatistics. Her academic journey includes roles from Research Assistant (1997) to Professor (2018), with affiliations in Actuarial Sciences and Biostatistics. Education: Ph.D. in Statistics (Iowa State University, 2004), M.S. and B.S. from METU. Research focuses on longitudinal data analysis, multilevel modeling, Bayesian methods, and biostatistics. She authored three editions of R Yazilimina Giris and a foundational book on multivariate longitudinal data analysis. Key contributions include developing marginalized transition random effects models (MTREM) and R packages like 'mmm'. Awards include METU's 20-year service recognition and teaching excellence. She has supervised numerous research projects and co-authored over 50 peer-reviewed articles across biostatistics, genomics, and statistical computing. Her work bridges statistical theory and application, with notable contributions to gene expression clustering, maternal antibody studies in veterinary science, and computational methods for longitudinal data. She maintains active collaborations in genomics and biostatistics, and her lab focuses on integrating statistical computing with biomedical research.

Fatma Arslanمشاهده پروفایل

استاد

• Mineral Processing
• Metallurgy
• Flotation
• +۵ مورد دیگر

Prof. Dr. Fatma Arslan is a Professor in the Department of Mineral Processing Engineering at Istanbul Technical University (ITU). She holds a PhD from Columbia University. Her research focuses on metallic minerals, industrial raw materials, and chemical-biological recovery techniques. She has held significant administrative roles, including Head of Department (2000–present), Dean (2012–2016), and Director of Research and Application Center (2013–2017). Her work emphasizes sustainable mineral processing, with contributions to flotation, leaching, and recycling of metals from secondary sources. She has authored over 35 publications and led projects on metal recovery from electronic waste and copper refining slags. Key research areas include hydrometallurgical processes, ion flotation, and environmental remediation. Prof. Arslan has advised numerous students and collaborates internationally on mineral processing innovations. Education: PhD in Metallurgical Engineering from Columbia University (1987–1991); License in Metallurgical and Materials Engineering from ITU (1977–1982). Research Interests: Flotation, leaching, cyanidation, metal recovery from waste, and sustainable mineral processing. Her recent work explores HPGR preprocessing for gold ore cyanidation and ion flotation for metal recovery. She has pioneered methods for recycling metals from printed circuit boards and copper slags. Prof. Arslan also contributes to UN Sustainable Development Goals related to resource efficiency and environmental protection.

Serkan Arıkanمشاهده پروفایل

دانشیار

• Educational Measurement and Evaluation
• Computerized Adaptive Testing
• Large-Scale Educational Assessments
• +۵ مورد دیگر

Assoc. Prof. Dr. Serkan Arıkan is a faculty member at Boğaziçi University's Faculty of Education, Department of Mathematics Education. His research focuses on educational measurement, computerized adaptive testing, non-routine problem solving, and large-scale assessment frameworks like PISA and TIMSS. He has developed psychometric tools for STEM competency evaluation and conducted bias detection studies in international exams. Education : PhD in Secondary Science and Mathematics Education (METU, 2010), Postdoc (Tilburg University, 2015) Awards : Outstanding Achievement in Teaching Award (2021-2022) Research Trends : His recent work includes psychometric validation of self-compassion scales, extending the Community of Inquiry framework for technology integration, and adaptive test design using multiple matrix sampling. He investigates how socioeconomic factors, item bias, and emotional skills intersect with academic performance. Projects : Leads TÜBİTAK-funded AI-based test design and computerized adaptive mathematics test initiatives. Conductor of Boğaziçi University Adaptive Testing Laboratory.

• Information Retrieval
• Natural Language Processing
• Turkish Language Processing
• +۴ مورد دیگر

Bekir Taner Dincer is a Professor at Muğla Sıtkı Koçman University, Faculty of Engineering, Department of Computer Engineering. He has been actively teaching courses including Web Development and Programming, Artificial Intelligence, Data Mining, Natural Language Processing, and Senior Design Projects for multiple academic years including the upcoming 2025-2026 term. Dr. Dincer earned his Bachelor's degree in Statistics from Middle East Technical University (1988-1993), followed by a Master's degree in Statistics and Computer Science from Muğla Sıtkı Koçman University (1996-1998), and completed his Doctorate in Computer Science from Ege University's International Computer Institute (1998-2004). His research focuses on Information Retrieval, Natural Language Processing (particularly for Turkish language), and related computational linguistics areas. His work addresses challenges in Turkish language processing including morphological analysis, constituent chunking, information retrieval systems, and term weighting methods. He has made significant contributions to adapting information retrieval techniques for agglutinative languages like Turkish, which presents unique challenges compared to Indo-European languages. His publication record shows a consistent research trajectory with recent work (2013-2018) focusing on risk-sensitive evaluation methods, learning to rank, entity recognition in big data, and specialized approaches for Turkish language processing. His research often bridges theoretical information retrieval concepts with practical applications for Turkish text processing. Dr. Dincer has served as editor for prestigious publications including the International ACM SIGIR Conference proceedings and ACM Transactions on Information Systems journal, demonstrating recognition of his expertise by the international research community. He has supervised numerous graduate students, guiding PhD and Master's theses on topics including unsupervised syntactic disambiguation for Turkish, statistical analysis of word roots and affixes, and information retrieval system design. His research has been supported by TÜBİTAK projects including the Design of a Statistics-Driven Selective Information Retrieval System (2015-2018) and the Design of a Statistical Information Access System (2011-2014).

• Earth Physics
• Applied Geophysics
• Paleomagnetism
• +۳ مورد دیگر

Prof. Turgay İşseven is a Professor at the Department of Geophysical Engineering, Faculty of Mining, Istanbul Technical University. He holds a PhD in Geophysical Engineering from the same institution. His primary research interests include Earth Physics, Applied Geophysics, and Paleomagnetism, with a focus on tectonic evolution, volcanic rock analysis, and gravity modeling in regions like Eastern Anatolia and Thrace Basin. He has led multiple projects funded by TÜBİTAK and BAP, investigating topics such as the paleomagnetic properties of volcanic rocks and the structural analysis of sedimentary basins. Prof. İşseven has advised numerous graduate students and contributed to over 20 publications in peer-reviewed journals. His work integrates advanced geophysical techniques like Ground Penetrating Radar (GPR) and deep learning for subsurface imaging and object detection. Key projects include the investigation of Lake Van's volcanic formations and the development of software for gravity data processing. He is also involved in teaching courses on Geomagnetism and Paleomagnetism. Educational Background: PhD in Geophysical Engineering, Istanbul Technical University (2001) MSc in Geophysical Engineering, Istanbul Technical University (1995) BSc in Geophysical Engineering, Istanbul Technical University (1991) Research Interests: Gravity anomalies and structural modeling Paleomagnetic studies of volcanic rocks Geophysical exploration techniques (GPR, resistivity) Tectonic evolution of Anatolia and the Eastern Mediterranean Projects: Investigation of Miocene-Quaternary volcanic rocks in Lake Van using paleomagnetic methods Gravity modeling of sedimentary basins in Eastern Anatolia Development of GravPack, a MATLAB-based gravity data processing tool Advising and Labs: Advisor to 7+ graduate students (e.g., Nedim Aydın, Orhan Apaydın) Collaborations with institutions like the Eurasian Geosciences Institute His research contributes to UN Sustainable Development Goals related to climate action and sustainable cities, through studies on earthquake hazard mitigation and geological resource management.

Seden Acun Özgünlerمشاهده پروفایل

استاد

• Durability
• Damage
• Maintenance and Repair in Architectural Structures
• +۵ مورد دیگر

Prof. Dr. Seden Acun Özgünler is a faculty member at the Faculty of Architecture, Istanbul Technical University , where she has served as Professor since 2021. Her research spans material science in architecture, focusing on durability, maintenance, and sustainable building technologies . She has supervised numerous theses and led projects on natural binders, thermal insulation, and historical preservation . Education: PhD in Building Science (Dr), Istanbul Technical University. Academic Roles: Department Head (2023), Associate Professor (2013-2021), Research Assistant (1999-2003). Research Trends include: Material Innovation: Mycelium-based composites, natural hydraulic binders, and geopolymer concrete. Sustainability: LCIA models, waste material utilization, and energy-efficient designs. Historical Preservation: Volcanic tuff conservation, grouting methods for masonry repair, and adaptive reuse of structures. Scientific Awards: 2nd Young Türkiye Summit Academy Award (2017) for Mimar Sinan Cultural Wealth Preservation. Publication-based Academic Performance Awards (2022, 2025) from Istanbul Technical University. Key Projects involve biocomposite materials, natural cement reproduction, and chromic glass applications in facades. Her work bridges traditional building techniques with modern sustainability through experimental and computational approaches.

İsmail Arıمشاهده پروفایل

استادیار

• Cloud Computing
• Big Data
• Machine Learning
• +۱۲ مورد دیگر

Dr. İsmail Arı is an Assistant Professor in the Computer Science department at Özyeğin University . He holds a PhD from the University of California, Santa Cruz (2004), MS from University of Maryland (2000), and BS in Electrical & Electronics Engineering from Boğaziçi University (1998).

Selçuk Karabatıمشاهده پروفایل

استاد

• Retail Operations Management
• Sustainable Operations Management
• Supply Chain Management
• +۳ مورد دیگر

Selçuk Karabatı is a Professor of Operations Management at the College of Administrative Sciences and Economics, Koç University (Turkey). His research spans retail operations, sustainable supply chains, and production systems optimization. He holds a PhD from the University of Texas at Austin and has previously taught graduate courses in Service Operations Management , Operations Strategy , and Sustainable Operations Management at Koç University. Education : PhD (University of Texas at Austin), MS (University of Southern California), BS (Boğaziçi University) Editorial Roles : Senior/Associate Editor at Production and Operations Management and IIE Transactions His research focuses on Supply Chain Management , Retail Operations , and Sustainable Operations , with applications in inventory control, pricing strategies, and production planning. Recent and historical publications reveal expertise in optimization frameworks , dynamic pricing , portfolio rebalancing , and retail analytics . While no explicit scientific awards are listed in the provided text, his work has consistently addressed challenges in inventory substitution, auction mechanisms, and logistics coordination.

• Educational Measurement and Evaluation
• Psychometrics
• Test Development
• +۷ مورد دیگر

Prof. Dr. Nuri Dogan is a Professor at Hacettepe University, Faculty of Education, Department of Educational Sciences, where he serves as Head of the Department of Educational Sciences since 2021 and previously as Head of the Department of Measurement and Evaluation in Education since 2019. He earned his BA (1996), MA (1999), and PhD (2002) from Hacettepe University's Department of Educational Measurement and Evaluation. After working as a research assistant (1998-2002) and lecturer (2003-2010), he became an Associate Professor in 2011 and a full Professor in 2016. He conducted post-doctoral research at University of Massachusetts-AMHERST under Ronald K. Hambleton in 2014-2015 with a TÜBİTAK scholarship. His research focuses on educational measurement and evaluation, psychometrics, test development, classical test theory, item response theory, and computerized adaptive testing. He teaches courses on measurement and evaluation in education, test development, scaling techniques, classical test theory, psychological foundations of measurement, research techniques, computerized measurement applications, and various other topics related to educational assessment. His extensive body of work demonstrates strong expertise in educational assessment methodologies, with particular emphasis on the technical aspects of measurement and evaluation. Dogan's publication record shows a clear progression from foundational work in classical test theory to more sophisticated applications in computerized adaptive testing and multistage testing. His recent work (2023-2024) reveals a strong focus on practical applications of measurement theory in large-scale assessments like PISA, with increasing integration of data mining and machine learning approaches. His research spans both theoretical psychometrics and practical applications across various educational contexts. Scientific Awards: TÜBİTAK scientist support program (BİDEP) scholarship for post-doctoral research at University of Massachusetts-AMHERST Prof. Dogan has supervised 55 graduate students (28 master's and 27 PhD candidates) whose research spans educational measurement, psychometrics, test development, and various applications of assessment methodology. His research projects include significant work on computerized adaptive testing, multistage testing, measurement invariance, and large-scale international assessments like PISA. He has received multiple research grants from TÜBİTAK and other national and international funding bodies. Prof. Dogan also chairs the Board of Directors of the Association for Measurement and Evaluation in Education and Psychology (EPODDER) and has been actively involved in numerous national and international research projects related to educational assessment and measurement.