Find Academic Supervisors

• Physical Education
• Sports Pedagogy
• Play in Physical Education
• +3 more

Fıkret Alincak is a Professor at Gaziantep University's Faculty of Sports Sciences, Department of Coach Education. He has been serving in this position since 2024, having previously held positions as Associate Professor (2018-2024), Assistant Professor (2017), Doctor Lecturer (2017-2018), and Lecturer (2011-2017) at the same institution. His educational background includes: Doctorate (2013-2016): Kırıkkale University, Institute of Health Sciences, Physical Education and Sports Master's (2010-2012): Gaziantep University, Institute of Health Sciences, Physical Education and Sports (with thesis) Bachelor's (2004-2008): Gaziantep University School of Physical Education and Sports, Department of Physical Education and Sports, Physical Education and Sports Teaching Program Professor Alincak's research focuses on Physical Education and Sports Education, with particular emphasis on Sports Pedagogy, Play in Physical Education, and Adapted Physical Education. His work explores the psychological aspects of sports participation, digital gaming behaviors among athletes and students, classroom management in physical education, and the impact of sports on mental resilience. He has conducted extensive research on traditional Turkish sports and their cultural significance, as well as on the challenges faced by physical education teachers in their professional development. His recent publications demonstrate a strong focus on contemporary issues in physical education, including digital gaming behaviors among athletes and students, psychological aspects of sports participation, and innovative approaches to teaching physical education. His research spans both theoretical and applied aspects of sports science, with particular attention to practical implications for educators and practitioners. Professor Alincak maintains active professional connections through YÖK Academic, ORCID, and Web of Science, and can be contacted at alincak@gantep.edu.tr or (0342) 317 22 96.

• Analysis
• Function Theory
• Graph Theory
• +5 more

Prof. Dr. Ali Hikmet Deger is a faculty member at the Department of Mathematics, Faculty of Science, Karadeniz Technical University. He has held various administrative roles, including Pedagojik Formasyon Koordinatörü (2024–present) and Vice Dean of the Faculty (2024–2025). Doctorate: Karadeniz Technical University, Mathematics (2011) Master’s: Karadeniz Technical University, Mathematics (2006) Bachelor’s: Atatürk University, Mathematics (2003) His research focuses on connections between suborbital graphs , special number sequences , and continued fractions , integrating graph theory with number theory and hyperbolic geometry . He explores how Fibonacci , Lucas , and Pell sequences generate geometric structures and identities in modular groups. Key trends in his 15 most recent publications (2025–2020) include: 2025: Lorentz matrix and Fibonacci/Lucas relations 2024: Metric comparisons in suborbital graphs 2023–2022: Matrix-graph duality, algorithmic vertex analysis 2021–2020: Continued fractions, Γ-invariant equivalence, and geometric transformations He has supervised four theses (2025–2021) and executed multiple projects, including TUBITAK-funded "Comparison of Metrics..." (2024–2025) and "Sürekli Kesirlerin Yinelenme Bağıntıları..." (2018–2022).

• Nuclear Physics
• Environmental Sciences
• Radiation Safety
• +3 more

Assoc. Prof. SÜLEYMAN FATİH ÖZMEN is an academic at Akdeniz University's Technical Sciences Vocational School in the Department of Electricity and Energy . With a focus on nuclear physics and environmental radiation safety, he has contributed extensively to understanding natural/artificial radioactivity in geological materials, wastewater sludge, and coastal ecosystems. Education: PhD in Physics (2017), Akdeniz University MSc in Natural Sciences (2008), Selcuk University BSc in Physics Education (2002), Middle East Technical University His research spans radiation safety , gamma spectroscopy , environmental monitoring , and mutation breeding applications . Key projects include TUBITAK-funded studies on submarine groundwater discharge and radiation mapping in coastal areas . Publications highlight collaborations with institutions like Heavy Ion Lab and TAEK. Scientific awards : Recognition for aluminum target preparation techniques at Warsaw Heavy Ion Laboratory (2011) Active in academic service, he serves on editorial committees and has participated in international symposia in Japan, Greece, and Turkey. His work addresses UN Sustainable Development Goals, particularly Life Below Water and Responsible Consumption .

• Civil Engineering
• Hydraulic
• Coastal Sedimentation
• +3 more

Rifat Tür is an Assistant Professor at Akdeniz University , Faculty of Engineering, Department of Civil Engineering. His work focuses on hydraulic engineering, coastal structures, and drought forecasting. Education: PhD (2006-2010) in Civil Engineering, Gazi University MSc (2000-2003) in Civil Engineering, Akdeniz University BSc (1996-2000) in Civil Engineering, Süleyman Demirel University Research Interests: Coastal Engineering and Sedimentation Drought Monitoring and Forecasting Wave Height Prediction Artificial Intelligence in Civil Engineering Maritime Risk Assessment Port Handling Capacity Modeling Recent publications emphasize machine learning for climate prediction, coastal structure design, and drought resilience. He has contributed to TUBITAK-funded projects on coastal sedimentation and served as an Assistant Editor for the International Journal of Engineering & Applied Sciences .

Cemil ÖZView profile

Professor

• Computer Science
• Artificial Intelligence
• Computer Vision
• +9 more

Prof. Cemil ÖZ is a full-time Professor at Sakarya University's Faculty of Computer and Information Sciences, where he has held academic positions since 1998. He leads research in computer vision, artificial intelligence, and medical imaging applications, with ongoing projects in virtual simulation systems and machine learning diagnostics. Education PhD in Electrical and Electronics Engineering, Sakarya University (1995-1998), specializing in neural network-based robotic trajectory control Master's in Electronics and Computer Education, Marmara University (1989-1993), focusing on adaptive robotic control systems Bachelor's in Electronics and Communication Engineering, Yıldız University (1986-1989) Research Focus Prof. ÖZ's interdisciplinary research bridges computer science with healthcare, industrial applications, and security. Primary domains include: Medical AI : Machine learning for neuroimaging diagnostics (e.g., multiple sclerosis differentiation) Virtual Simulation : Industrial and educational systems (welding/driving simulators) Computer Vision : 3D reconstruction, object detection, and facial analysis Applied ML : Hybrid algorithms for predictive modeling in security and social media Publication Trends Recent articles (2019-2024) demonstrate strong emphasis on AI-driven healthcare solutions (38% of works), particularly neurological disorder diagnostics using MRI/spectroscopy data. Virtual training systems constitute 27% of output, focusing on industrial/educational simulations. Remaining publications advance computer vision techniques (3D reconstruction, object detection) and security applications (terrorism prediction, sentiment analysis). Methodologically, deep learning (YOLO, CNN) and sensor integration (Kinect) are predominant.

İhsan Hakan SELVİView profile

Professor

• Manufacturing Systems
• Production Systems
• Artificial Intelligence in Manufacturing
• +5 more

Prof. Dr. İhsan Hakan SELVİ is a distinguished Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Information Systems Engineering. With a career spanning over two decades at Sakarya University, he has progressed from Research Assistant positions (2001-2017) to his current professorship. His administrative leadership includes serving as Institute Director of the Institute of Science (2022), Deputy Head of Department (2016-2020), and multiple board memberships including the Sakarya Economic and Social Research Center (2023-2026). His research expertise spans manufacturing systems, particularly Seru production systems, assembly systems, deep learning applications in manufacturing, and Industry 4.0 technologies. His work bridges traditional industrial engineering with modern AI techniques, focusing on practical applications in production environments. He has developed conceptual models for smart seru production systems using deep learning for real-time monitoring and controlling, and has conducted extensive bibliometric analyses of production scheduling problems. Prof. SELVİ's scholarly output demonstrates strong trends in applying AI to manufacturing challenges, with increasing focus on deep learning approaches in recent years. His work shows interdisciplinary connections between industrial engineering, computer science, and operations research. His publications span high-impact journals in production research, computer-integrated manufacturing, and industrial engineering. Bilim Ödülü (Science Award) Teşekkür Belgesi (Certificate of Appreciation) As an academic advisor, he has supervised numerous graduate students across diverse topics including machine learning for anomaly detection in water consumption, protein structure prediction using deep learning, and automotive plant logistics optimization. His research projects include significant collaborations such as the "Kauçuk Hamuru tasarımı ve üretimi" project focusing on rubber compound design and Industry 4.0 applications in the rubber sector. He has also contributed to knowledge management and digital transformation through various book chapters and edited volumes. Prof. SELVİ leads or participates in multiple research teams focusing on production systems optimization, AI applications in manufacturing, and digital transformation. His current work continues to explore the intersection of deep learning and manufacturing systems, particularly in the context of Industry 4.0 implementation in Turkish industrial settings.

Nilüfer YURTAYView profile

Professor

• Machine Learning
• Data Mining
• Artificial Intelligence
• +7 more

Prof. Dr. Nilüfer YURTAY is a distinguished faculty member at Sakarya University's Faculty of Computer and Information Sciences, Department of Computer Engineering. Her academic career spans over three decades, beginning as a Research Assistant in 1992 and advancing to her current position as Professor. Current Courses: Computer Engineering Design, Optimization, Medical Statistics and Medical Informatics, Graduation Projects, Data Mining Applications, and Specialization Areas Previously Taught: Discrete Operational Structures, Data Mining, Applied Engineering Experience Training Professor YURTAY's research spans multiple domains of computer science with a focus on practical applications. Her work demonstrates consistent excellence in machine learning, data mining, and artificial intelligence, particularly applied to medical informatics, traffic safety analysis, and assistive technologies for visually impaired individuals. She has made significant contributions to feature selection algorithms, metaheuristic optimization techniques, and medical diagnosis systems. Her publication record reveals a strong trajectory of high-impact research, with recent works focusing on real-time object detection (AYOLO), traffic accident analysis using decision trees, binary chaotic optimization algorithms, and voice-assisted systems for visually impaired students. These publications appear in reputable journals including IEEE ACCESS, Applied Sciences, and Engineering Science and Technology. Professor YURTAY has supervised numerous graduate students, guiding research in data mining applications in healthcare, Turkish text-to-speech synthesis, pattern recognition in bioinformatics, and demand prediction for ATMs. Her academic leadership extends to developing educational resources, including her textbook 'Ayrık İşlemsel Yapılar' (Discrete Operational Structures). Her research group maintains active projects in medical informatics, traffic safety analysis, and assistive technologies, reflecting her commitment to solving real-world problems through computational methods. Professor YURTAY's work bridges theoretical computer science with practical applications that address societal challenges in healthcare, transportation, and accessibility.

Murat İSKEFİYELİView profile

Associate Professor

• Anomaly detection
• Critical infrastructure
• Deep learning
• +18 more

Murat İSKEFİYELİ serves as an Associate Professor in the Department of Cyber Security Engineering within the Faculty of Computer and Information Sciences at Sakarya University. His academic career at the institution spans 27 years since 1998, progressing from Research Assistant through Lecturer (2009-2010), Assistant Professor (2010), and current Doctor Lecturer (2018) positions. His educational trajectory includes: Doctorate (2002-2010): Sakarya University Institute of Science, Electronics, thesis on "Modeling and performance analysis of WiMAX (IEEE 802.16)-Profibus interconnection element using petri nets" Master's Degree (1998-2002): Sakarya University Institute of Science, Electrical and Electronics Engineering (MA with Thesis) Bachelor's Degree (1994-1998): Sakarya University Faculty of Engineering, Electrical-Electronics Engineering Dr. İSKEFİYELİ's research integrates cybersecurity with artificial intelligence methodologies, focusing on anomaly detection systems for critical infrastructure and IoT environments. His work develops lightweight intrusion detection mechanisms using deep learning architectures, with specialized applications in facial anti-spoofing and two-factor authentication systems. He also pioneers optimization algorithms for multistage pumping stations and load-shifting operations in industrial control systems through dynamic programming approaches. No scientific awards were documented in the source material. Advising activities and research funding details were not specified in the provided information. Research laboratory affiliations and team structures were not mentioned in the available documentation.

Hüseyin EskiView profile

Lecturer

• Computer Engineering
• Software Development
• Data Communication
• +2 more

Hüseyin Eski is a Lecturer at the Department of Computer Engineering , Faculty of Computer and Information Sciences , Sakarya University, since 2021. Previously, he served as a Research Assistant at the same department from 2002 to 2021. Education: Doctorate (PhD) in Computer and Information Engineering, Sakarya University (2009–2020) Master's in Computer and Information Engineering (with thesis), Sakarya University (2003–2005) Bachelor’s in Computer Engineering, Sakarya University (1997–2002) Research Interests include computer engineering, software development, and applications of data communication technologies. His work aligns with the United Nations Sustainable Development Goals (SDGs) , particularly in addressing climate action and sustainable technological solutions.

Muhammed KotanView profile

Assistant Professor

• Artificial Intelligence
• Computer Software
• Image Processing
• +13 more

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.

Sümeyye KAYNAKView profile

Assistant Professor

• Artificial Intelligence
• Cloud Computing
• Environmental Informatics
• +3 more

Sümeyye KAYNAK serves as an Assistant Professor in the Department of Computer Engineering at Sakarya University's Faculty of Computer and Information Sciences. Her academic profile demonstrates interdisciplinary expertise bridging computer science with environmental sustainability and educational technology through computational modeling and data-driven solutions. Her educational foundation includes: Doctorate (2019) from Sakarya University Institute of Science/Computer and Information Engineering with thesis on solar energy potential modeling using 3D data Master's degree (2014) from same institution focusing on AI-based student counseling infrastructure Bachelor's degree (2012) in Computer Engineering from Sakarya University Faculty of Engineering Dr. KAYNAK's research integrates advanced computational methodologies across multiple domains. Her primary focus areas include Artificial Intelligence applications for resource allocation in cloud manufacturing (utilizing genetic algorithms and AHP), Environmental Informatics for flood modeling and hydrological analysis, and Sustainable Energy systems through solar potential estimation tools. Recent work demonstrates significant expansion into geospatial web components for earth science agencies and digital twin frameworks for urban infrastructure resilience, reflecting growing emphasis on climate change adaptation technologies. Publication analysis from 2012-2025 reveals a clear research evolution: early work (2012-2018) concentrated on educational AI systems and solar energy tools, while current output (2023-2025) prioritizes environmental applications with city-scale flood impact modeling, hydroinformatics, and open data frameworks. This trajectory shows increasing sophistication in real-time data analytics and cross-domain integration, particularly between manufacturing systems and environmental monitoring. No scientific awards were documented in the source materials. Regarding academic mentoring, the available documentation contains no references to graduate student supervision or grant-funded research projects. No laboratory affiliations or research team leadership roles were specified in the provided information.

• Science Education
• Socio-scientific Issues
• Argumentation
• +3 more

Mustafa Sami TOPÇU is a Turkish academic and science educator currently serving as an Assistant Professor at the Department of Mathematics and Science Education within the Faculty of Education at Yildiz Technical University since 2014. He holds a PhD in Science Education from Middle East Technical University (2008) and has conducted research at the University of Florida (2007) and University of Missouri-Columbia (2014-2015). Research Interests Socioscientific Issues (SSI) in education Argumentation and reasoning skills Epistemological beliefs in science STEM education integration Design thinking and computational thinking Model-based pedagogy Academic Contributions include 191 WoS publications (with 154 H-index), 12 projects, and editorial roles in journals like International Journal of Science and Mathematics Education . He received the TÜBİTAK Teşvik Ödülü (2018) for his international-level work in science education. Key Trends in Recent Publications (2023-2025) demonstrate: Integration of computational thinking with biology topics (circulatory system, digestive system) Innovative engineering design applications for environmental education Development of model-based and design thinking approaches Focus on teacher training in SSI and CT instruction Exploration of moral/epistemic dimensions in science education Adaptation of pedagogical tools for Turkish context

MEHMET SİNCARView profile

Professor

• Educational Administration
• School Leadership
• Technology Leadership
• +3 more

MEHMET SİNCAR is a Professor at Gaziantep University Faculty of Education , Department of Educational Sciences with specialization in Educational Administration since 2019. His academic career spans over two decades, including roles as Associate Professor (2014-2019) and Doctor Lecturer (2010-2014) at the same institution. PhD in Education Administration and Supervision (2005-2009), İnönü University MA in Educational Sciences (2002-2004), Gaziantep University BSc in Electronics and Computer Education (1995-1999), Gazi University Research focuses on educational administration , school leadership , and technology integration in education. Recent publications examine AI ethics in educational leadership, metaverse applications in higher education, and social justice leadership practices across Turkey and Greece. 15 most recent works (2025-2019) reveal expertise in: Social justice leadership models Metaverse ethics and education Technology leadership challenges Educational policy analysis Quantitative leadership assessment Comparative education studies As advisor, he has supervised 4 doctoral and 16 master's theses covering topics from: Metaverse ethics Cross-cultural leadership Gender in education Teacher development Organizational psychology Policy implementation

• Mathematics Education
• Statistics
• Applied Statistics
• +4 more

Associate Professor RECEP BİNDAK is a faculty member at Gaziantep University's Faculty of Education, Department of Mathematics and Science Education. With a Doctorate in Mathematics from Dicle University (2004), he has built an extensive academic career spanning over two decades, including positions at Mardin Artuklu University and Gaziantep University's Technical Sciences Vocational School. His educational background includes a Doctorate (2000-2004) from Dicle University's Institute of Sciences in Mathematics, a Master's degree (1994-1997) from Yuzuncuyil University's Institute of Sciences in Mathematics, and a Bachelor's degree (1987-1991) in Mathematics Teaching from Dicle University's Faculty of Education. BINDAK's research focuses on mathematics education, statistics, and educational psychology, with particular emphasis on mathematical self-efficacy, problem-solving attitudes, measurement techniques, and quantitative research methods. His work bridges theoretical statistical concepts with practical educational applications, making significant contributions to both fields. He has published extensively on topics ranging from mathematical justification skills in middle school students to psychometric properties of Likert scales and teacher burnout predictors. His recent publications (2018-2024) reveal a strong trend toward interdisciplinary research combining mathematics education with psychological factors affecting student performance. The majority of his work centers on middle school mathematics education, examining variables like self-efficacy, problem-solving attitudes, and mathematical justification skills. He also maintains active research in statistical methodology, particularly in bootstrap methods and nonparametric techniques, demonstrating his dual expertise in both educational theory and quantitative analysis. TUBITAK Publication Incentive Award (2011) TUBITAK Publication Incentive Award (2012) Professor BINDAK has supervised 22 graduate theses (1 doctoral and 21 master's), reflecting his commitment to mentoring the next generation of researchers. His students have explored diverse topics within mathematics education, including mathematical connection self-efficacy, geometric justification skills, and the relationship between school climate and teacher burnout. His teaching portfolio spans doctoral, master's, undergraduate, and associate degree levels, with courses focused on statistics, probability, data analysis, and mathematical research methods. As evidenced by his extensive publication record and thesis supervision, Professor BINDAK maintains an active research laboratory focused on quantitative educational research, with particular attention to measurement theory, statistical methodology in education, and mathematics learning processes. His work continues to influence both educational practice and research methodology in Turkey's academic community.

Hüseyin ToktamişView profile

Professor

• Thermoluminescence Dosimetry
• Solid State Physics
• Materials Science
• +3 more

Hüseyin Toktamiş is a Professor at Gaziantep University's Faculty of Engineering, Department of Physics Engineering . His career spans over two decades at the same institution, progressing from Research Assistant (2000-2011) to Lecturer (2011-2016), Associate Professor (2016-2021), and finally Professor since 2021. PhD in Physics Engineering (Gaziantep University, 2008) MS in Physics Engineering (Gaziantep University, 2002) BS in Physics Engineering (Gaziantep University, 2000) His research focuses on thermoluminescence dosimetry and solid-state physics , particularly for dental biomaterials , semiconductors , and natural minerals . Recent publications highlight applications of artificial neural networks in TL analysis and radiation response of industrial materials like SiC. Key scientific contributions include: Development of retrospective dosimetry methods for dental cements Analysis of kinetic parameters in TL glow curves Investigation of thermal treatments on radiation sensitivity International conference leadership roles Awarded 2020 Silver Medal at Istanbul International Invention Fair , he has supervised 8 theses across dental ceramics , quartz analysis , and SIM card dosimetry . His work includes 8 funded projects, notably a TÜBİTAK study on artificial and natural thermoluminescent materials.