Ümit DURUK is an Associate Professor in the Department of Mathematics and Science Education at Adiyaman University's Faculty of Education. He holds a Ph.D. in Science Education from Adiyaman University (2013-2017), following a Master's (2009-2012) and Bachelor's (2005-2009) in Science Education from Kocaeli University. Since 2011, he has served as a Research Assistant and was promoted to Associate Professor in 2021. His expertise spans Nature of Science , Metacognition , and Science Teacher Education . His research focuses on science education methodologies, including argumentation skills development, student interest dynamics, and curriculum analysis. Notable work includes studies on concept cartoon-supported scientific argumentation, situational interest in heat transfer, and nature of science representation in textbooks. He has authored/co-authored over 25 peer-reviewed articles and edited multiple books in educational sciences. Dr. DURUK has contributed to projects like the 'Science and Technology Program Planning' and 'Out-of-school Learning Environments in Science Teaching.' His teaching portfolio includes courses such as 'The Nature and History of Science' and 'Scientific Research Methods.' He is actively involved in international conferences, presenting on topics like pseudoscientific belief reduction and teacher training programs. His work emphasizes bridging theory and practice in science education through innovative pedagogical approaches.
Aygen KÖÇ KÖCA is an Associate Professor at Adiyaman University's Faculty of Education, Department of Mathematics and Science Education. She holds a PhD in Mathematics Education (2022) and has been a faculty member since 2014, advancing to Research Assistant (2014), Research Assistant Doctor (2022), and Associate Professor (2024). She currently serves as Deputy Director of the Research and Application Center and sits on the University's Accreditation Board. Education: BSc in Mathematics Education (Inonu University, 2007), MA in Algebra and Number Theory (Sakarya University, 2011), PhD in Mathematics Education (Adiyaman University joint with Inonu University, 2022). Fluent in English (YDS Level C). Research focuses on mathematics education for gifted students, special education methodologies, and teacher training. Key themes include problem-solving strategies in gifted populations, mathematics anxiety mitigation, and technology integration in pedagogy. Recent publications (2023-2024) analyze gifted student problem-solving attitudes, teacher candidate perceptions of gifted education, and online pedagogical methods. Her work bridges cognitive development with practical classroom strategies. Projects include culturally responsive mathematics activities for preschoolers (MATH MAGIC IN MOTION) and international comparative studies on gifted education policies. She has authored two books on gifted mathematics education and sustainable development in education. Teaching responsibilities include courses on gifted mathematics education, special education pedagogy, and research methods. Supervises graduate and undergraduate research projects in mathematics education innovation.
Assoc. Prof. Serkan Özel is a faculty member at Bogazici University’s Department of Mathematics and Science Education and director of the Education Technologies and Research Center. He holds a Ph.D. in Educational Psychology with a specialization in Educational Technology from Texas A&M University (2009) and a combined B.Sc./M.Sc. in Mathematics Education from Bogazici University (2004). Research Interests: STEM education, mathematics learning in early childhood, measurement and evaluation, pattern knowledge, and educational technology integration. Notable Projects: Led TUBITAK-funded research on abstraction in early pattern learning, computational thinking programs for middle schoolers, and international collaborations with NSF and IES grants. His recent publications focus on equality concepts in curricula, role modeling for self-regulation, and technology barriers in math education. Articles highlight cross-cultural studies, cognitive development, and pedagogical strategies. He has received the Teaching Excellence Award (2024) and participates in editorial boards like the International Journal of Educational Studies in Mathematics . Dr. Özel also contributes to children’s learning programs at Arter Contemporary Art Museum and consults on STEM initiatives. Scientific Awards: Vanderbilt Global Scholar (2024), Victory Science Award (2022), TASAM Strategic Vision Award (2021), SUNY Global Fellowship (2015). As an advisor, he has guided over 20 graduate theses on topics ranging from computational thinking to teacher competencies. His work bridges academic research with practical applications, including textbook development and professional development seminars for K-12 educators. Labs and Teams: Leads the Çocuk Öğrenme Laboratuvarı (Child Learning Lab) and collaborates with national institutions like TUSAŞ and TÜPRAŞ, alongside international networks such as the Cognitive Development Society.
Müjdat Çetin is a Professor of Electrical and Computer Engineering and serves as the Robin and Tim Wentworth Director of the Goergen Institute for Data Science and Director of the New York State Center of Excellence in Data Science at the University of Rochester. He previously held faculty positions at Sabancı University and was a Research Scientist at MIT, with visiting roles at Boston University, Northeastern University, and MIT. Education: PhD in Electrical Engineering, Boston University, 2001 MS in Electrical Engineering, University of Salford, 1995 BS in Electrical Engineering, Boğaziçi University, 1993 His research lies at the intersection of signal processing, machine learning, and data science, with applications in biomedical imaging, radar, and brain-computer interfaces. He develops probabilistic and deep learning models for robust information extraction from noisy and complex data. His work emphasizes computational imaging, sparse representations, and multimodal data fusion. The recent publications reflect a strong trend toward integrating Bayesian methods and deep learning in imaging sciences, particularly in medical image reconstruction, neuroimaging analysis, and radar systems. His group actively explores transformer architectures, federated learning, and model-based deep learning for solving inverse problems in imaging. Scientific Awards and Honors: IEEE Fellow IEEE Signal Processing Society Best Paper Award IET Radar, Sonar and Navigation Premium Award Elsevier Signal Processing Best Paper Award Turkish Academy of Sciences Distinguished Young Scientist Award (GEBİP) ODTÜ Mustafa Parlar Foundation Research Incentive Award TÜBİTAK Career Award Boston University Best Engineering Research Award Professor Cetin has advised numerous PhD and Master’s students and led significant research grants in data science and imaging. He has served as a Senior Area Editor for IEEE Transactions on Image Processing and IEEE Transactions on Computational Imaging, and held editorial roles in several top journals. He has chaired major conferences including ICASSP, ICIP, and IVMSP workshops. He leads a multidisciplinary research group focused on data science and imaging, collaborating with neuroscientists and medical researchers. The team develops novel algorithms for brain-computer interfaces, medical image analysis, and remote sensing systems, often integrating machine learning with physical models of data acquisition.
Yigit Yazicioglu is a Professor of Mechanical Engineering at Middle East Technical University (METU). He holds a Ph.D. from the University of Illinois at Chicago and has been affiliated with METU since 1997, progressing through roles including Lecturer, Assistant Professor, Associate Professor, and his current rank since 2021. His research focuses on solid acoustics in structural and bioacoustic applications, control systems, robotics, and automotive engineering. He has supervised numerous graduate students and led projects funded by TUBITAK, including work on legged robotics, fluid-structure interactions in biomedical contexts, and advanced control systems. Education: Ph.D. Mechanical Engineering (UIC, 2005), M.S. and B.S. from METU (1999, 1997). His teaching spans dynamics, control systems, and robotics courses. Recent research highlights include acoustic detection of vascular obstructions and compliant robotic leg design. He has contributed to over 30 peer-reviewed journal articles and supervised 20+ theses, with ongoing work in non-invasive medical diagnostics and advanced robotics. Key Projects: Low-power legged robot mobility (2018–2022) Acoustic-visual perception for legged robots (2010–2013) Electro-hydraulic control systems development (2007–2010) His academic contributions include pioneering work in bioacoustic signal analysis and robotic locomotion control, with applications in both engineering and biomedical fields. Current research emphasizes interdisciplinary approaches to solve complex problems in robotics and medical diagnostics.
Ahmet Kırış is a Professor in the Department of Mathematics Engineering at Istanbul Technical University, Turkey, with active research output through 2025. His work bridges applied mathematics and engineering, focusing on fractional calculus applications in vibration analysis, image processing, and thermoelasticity. He maintains an h-index of 8 (Scopus) with 26 publications and leads a current research project on image denoising. His research emphasizes fractional differential equations and computational modeling for complex physical systems. Key contributions include vibration analysis of rectangular plates using Chebyshev finite difference methods, fractional image denoising techniques, and electrohydrodynamic flow modeling. He frequently develops numerical strategies like wavelet collocation and fractional total variation to solve nonlinear boundary value problems in multi-dimensional domains. Analysis of his 2024-2025 publications reveals a cohesive trajectory in extending fractional calculus to real-world engineering challenges. Recent work demonstrates innovation in space-time fractional operators for image denoising, coupled thermoelastic plate dynamics, and adiabatic reactor modeling—showcasing how non-local mathematical frameworks solve problems where classical methods fail. Scientific recognition includes: Three instances of TOP 25 Hottest Articles award (2005) TUMTMK 13th National Congress Best Presentation Award (2003) TUMTMK 14th National Congress Best Work Award (2005) TUMTMK 15th National Congress Best Doctoral Second Prize (2007) Professor Kırış has supervised 4 students and currently directs the SRP-funded project "TVFF yöntemi ile gürültülü görüntülerin temizlenmesi" (Cleaning Noisy Images with TVFF Method) from May 2024-February 2025. His collaborative network spans international co-authors from Poland and India, reflecting strong cross-institutional partnerships in computational mathematics.
Assoc. Prof. Mahmut F. Aksit is a Faculty Member at the Mechatronics Engineering department of Sabancı University's Faculty of Engineering and Natural Sciences . He holds a Ph.D. in Mechanical Engineering from Rensselaer Polytechnic Institute (1998) and has over 25 years of experience in academia and industry. Ph.D. in Mechanical Engineering, Rensselaer Polytechnic Institute (1998) M.S. in Mechanical Engineering, Rensselaer Polytechnic Institute (1993) B.S. in Mechanical Engineering, Boğaziçi University (1991) His research spans renewable energy systems , turbomachinery seals , unmanned aerial vehicles , and high-temperature material behavior . He has developed innovative solutions for wind turbine infrastructure , micro-hydro systems , and quad tilt-wing UAVs . Recent publications focus on 3D thermo-elastohydrodynamics , cloth seal leakage performance , and friction characteristics of superalloys . His work combines computational modeling with experimental validation, particularly in tribology and fluid dynamics . Elected Vice President of ASME Turkey Executive Committee (2009) Graduating Class Award, Sabancı University (2009) ASME Gas Turbine Institute Heat Transfer Technical Committee (2006) He has led projects on hydrogen sealing systems , brush seal contact loads , and automated fabric labeling systems , supported by TUBITAK, EUAS, and industry partners. His team collaborates internationally on gas turbine lubrication systems and renewable energy solutions .
Tezcan Kartal is a Professor in the Department of Mathematics and Science Education at the Faculty of Education, Ahi Evran University, Turkey. His academic journey includes a PhD in Science Education from Gazi University (2013), a Master's in Primary School Science Education from Selçuk University (2007), and a Bachelor's in Science Education from Selçuk University (2004). His research focuses on science education , technological pedagogical content knowledge (TPACK) , socioscientific issues , and teacher training methodologies . Key areas include technology integration in STEM education, microteaching efficacy, and argumentation-based learning in science contexts. Kartal's publications (113 total) emphasize science pedagogy, technology acceptance in education, and socioscientific discourse. Recent trends show a shift toward digital learning impacts post-COVID, virtual laboratories, and AI in teacher training. Scientific Awards: None reported. Advising & Grants: Supervised 9 graduate students (5 Master’s, 1 PhD). Led/co-led 13 research projects, including technology-enhanced labs (2024–2026) and entrepreneurship in science education (2020). Collaborations: Worked with 56+ researchers across institutions; frequent collaborators include İbrahim Kızıltepe (21 studies), Adem Taşdemir (19), and Büşra Kartal (14). Active in national curriculum development workshops (e.g., Türkiye Yüzyılı Maarif Modeli).
Serdal Baltacı is an Associate Professor in the Department of Mathematics and Science Education at Ahi Evran University's Faculty of Education. He holds a PhD in Primary School Mathematics Education from Karadeniz Technical University (2009-2014) and a bachelor's degree from Atatürk University. His professional journey includes positions as an Instructor (2007-2015), Assistant Professor (2015-2019), and Associate Professor (2019-present). He has also served as Director of the Vocational School since 2015. Research Focus Baltacı's research centers on mathematics education innovations, particularly technology integration (GeoGebra, dynamic software), statistics/probability pedagogy, and gifted education. His work emphasizes contextual learning environments, teacher training methodologies, and STEM applications in early education. Recent projects explore online learning efficacy and AI integration in mathematics instruction. Publication Trends His scholarly output demonstrates strong thematic consistency in mathematics pedagogy, with evolving focus areas: early works (2012-2016) emphasized gifted education and geometric software applications, while recent publications (2020-present) prioritize online learning, teacher self-efficacy, and statistical literacy. Quantitative methods dominate his research, with frequent use of experimental designs and scale validations. Projects & Advising He has led 13 research projects, including TÜBİTAK-funded initiatives on peer instruction models and parental expectations in mathematics education. Current projects examine AI applications in teaching and international curriculum comparisons. As a thesis advisor, he has guided 12+ graduate students, with research topics spanning technology-enhanced learning, problem-solving strategies, and inclusive mathematics education.
Osman ÇİL , an Associate Professor at Ahi Evran University, Faculty of Education, Department of Basic Education , specializes in mathematics education, curriculum development, and educational technology. Holding a Ph.D. from Syracuse University (2014) , an M.S. from Syracuse University (2010) , and a B.A. from Gazi University (2006) , his work bridges Turkish and international educational frameworks (e.g., TIMSS cognitive domains). He has taught courses like "Mathematics Teaching" and "Constructivist Approaches" at both undergraduate and graduate levels. Education: Ph.D., Mathematics Education, Syracuse University (2014) M.S., Mathematics Education, Syracuse University (2010) B.A., Classroom Teaching, Gazi University (2006) Research Interests: Realistic Mathematics Education STEM Integration in Elementary Education Teacher Anxiety and Self-Efficacy Curriculum Analysis via Bloom Taxonomy Digital Storytelling in Math Teaching Game-Based Learning Applications Collaborations: Worked with scholars like Okan Kuzu (2018-2022), Ahmet Salih Şimşek (2018-2019), and Benjamin Dotger (2015) Projects: Directed "Design-Based Natural Disaster Education" (TÜBA/TÜBİTAK, 2021) Coordinated "Math Curriculum Analysis via Bloom Revisions" (2018-2020) Metrics: h-index : 5 Citations : 82
Kamile Şanlı Kula is a Professor at the Department of Mathematics , Faculty of Arts and Sciences , Ahi Evran University , Turkey. She holds a PhD in Statistics (2005) and MSc in Statistics (1999) from Ankara University , and a BSc in Statistics (1997) from Eskişehir Osmangazi University . Her academic career spans institutions including Ankara University (1999-2005) and Eskişehir Osmangazi University (2007). Academic Ranks: Professor (2016–), Associate Professor (2011–), Assistant Professor (2007–2011) Professional Roles: Head of Department (2017–), Faculty Board Member (2016–), Project Evaluation Committee (2015–2019) Her research focuses on Applied Statistics , Operations Research , and Statistical Analysis , with a notable emphasis on Type-2 Fuzzy Logic and Robust Regression techniques. Recent publications address student anxiety, burnout, and life satisfaction, often applying fuzzy logic to handle outliers in datasets. Key projects include studies on cerebrovascular patient anxiety (2017–2019), exam anxiety in 8th-grade students (2017), and vocational school math anxiety (2015–2017). She has supervised 10 master's theses on topics like geometric software impact and educational psychology metrics, collaborating with researchers such as Türkan Erbay Dalkılıç and Ayşen Apaydın. She serves on editorial boards for journals like Journal of Biometry Studies and Mathematical Sciences and Applications E-Notes , and is a member of the Turkish Statistical Association (since 2005) and Statisticians Association (since 1997). Her work integrates statistical methods with psychological and educational applications, particularly in fuzzy logic and outlier-resistant models.
Mert Akın İnsel is an Assistant Professor in the Department of Chemical Engineering at Yıldız Technical University's Faculty of Chemical and Metallurgical Engineering. He graduated as the top student of his department and second in his faculty from the Department of Chemical Engineering at Yıldız Technical University. After completing his undergraduate studies, he continued with graduate and doctoral studies at Yıldız Technical University, successfully defending his Ph.D. dissertation in 2025 titled "Applications of Artificial Intelligence in Energy Production." His educational background includes: Doctorate (2021-2025): Yildiz Technical University, Graduate School of Natural and Applied Sciences, Department of Chemical Engineering Postgraduate (2018-2021): Yildiz Technical University, Graduate School of Natural and Applied Sciences, Department of Chemical Engineering Double Major Undergraduate (2015-2020): Yildiz Technical University, Faculty of Chemical and Metallurgical Engineering, Department of Mathematics Engineering Undergraduate (2014-2018): Yildiz Technical University, Faculty of Chemical and Metallurgical Engineering, Department of Chemical Engineering Dr. İnsel's research focuses on computer-aided modeling, simulation, and optimization in chemical engineering, with particular emphasis on enhancing process efficiency and accuracy through artificial intelligence, machine learning, and image processing techniques. His work spans multiple disciplines including energy systems, nanotechnology, biomedical applications, and waste management. He actively participates in multidisciplinary projects that integrate numerical methods to solve complex engineering problems. His research publications demonstrate a strong trend toward applying AI and machine learning techniques to solve problems across various domains including energy production, biomedical applications, and materials science. A significant portion of his work involves the development of novel computational approaches for energy systems optimization, drug delivery mechanisms, and waste-to-energy conversion processes. His interdisciplinary approach bridges chemical engineering with computer science, resulting in innovative solutions for complex engineering challenges. Dr. İnsel has received several academic awards, including: Academic Performance Award from Yıldız Technical University (2024) Academic Performance Award from Yıldız Technical University (2023) 1st Rank in Department of Chemical Engineering (Undergraduate) from Yıldız Technical University (2018) 2nd Rank in Faculty of Chemical Metallurgical Engineering (Undergraduate) from Yıldız Technical University (2018) He serves as Assistant Coordinator at Yıldız Technical University's Occupational Health and Safety Coordination Office and has held various managerial positions including Event and Administration Manager. Dr. İnsel is also involved in several research groups and projects, including Waste Biorefinery Technologies for Accelerating Sustainable Energy Processes (WIRE) through COST, Sabiotek at Yıldız Technical University, and Multidisciplinary Nanoscience Technology at Istanbul University-Cerrahpaşa. Dr. İnsel has been actively involved in multiple funded research projects through TUBITAK, focusing on areas such as optimization of heat exchangers, solar energy prediction, gasification processes, and quality control in food production. His work demonstrates a strong commitment to applying advanced computational techniques to solve practical engineering problems across diverse domains.
Şükrü İLGÜN is a Professor in the Department of Mathematics and Science Education at Kafkas University 's Dede Korkut Faculty of Education. With a PhD in Geometry and an MSc in Mathematics Education from Atatürk University, he has held full-time academic positions since 2014, including department head roles. His research focuses on mathematics education, student anxiety, and innovative teaching methods like scenario-based learning, mathematical modeling, and technology integration. PhD: Geometry, Atatürk University (2011-2013) MSc: Mathematics Education, Atatürk University (2001-2004) BA: Mathematics Teaching Program, Erzincan Faculty of Education (1996-2000) Research Themes include: Geometry instruction and anxiety reduction Algebra teaching through scenario-based learning Interdisciplinary connections (e.g., Social Sciences & Math) Digital literacy and classroom technology Gifted student education Error analysis in mathematical reasoning His recent publications analyze topics such as geometric modeling , student number sense , and mathematical anxiety across diverse educational contexts. Collaborations with Esra Altıntaş (80 joint works) and Seyfullah Hızarcı (9 joint works) highlight his extensive academic network.
Begüm Özmusul is a Research Assistant at Gaziantep University's Nizip Faculty of Education, Department of Mathematics and Science Education, where she has been actively engaged in research and teaching since 2019. Her work bridges theoretical frameworks in mathematics education with practical classroom applications. Her academic credentials include: Doctorate in Mathematics Education (2019-2024), Gaziantep University Master's in Mathematics Education (2016-2019), Gaziantep University Bachelor's in Primary Education Mathematics Teaching (2012-2016), Gaziantep University Özmusul's research centers on algebraic habits of mind and teacher knowledge development , employing mixed-methods approaches to investigate how pre-service teachers acquire algebraic reasoning skills and translate them into classroom practice. She examines curriculum materials, teacher cognition, and student justification processes through cognitive and sociocultural lenses, with particular focus on Turkish educational contexts and refugee student inclusion challenges. Her publication trajectory reveals intensive focus on adapting assessment tools for algebraic knowledge and analyzing textbook activities through developmental psychology principles. Recent work emphasizes problem-based pedagogy for developing algebraic thinking and cross-cultural challenges in mathematics instruction. Özmusul served as lead researcher on the national project "Effect of Problem-Based Algebra Teaching within the Framework of Algebraic Habits of Mind on Pre-Service Teachers' Algebra Teaching Knowledge Development" (2022-2024), funded by higher education institutions. Prior to her academic career, she gained practical classroom experience as a teacher with Turkey's Ministry of Education (2017-2019).
Associate Professor DİDEM AYDIN ARI serves in the Department of Mathematics at the Faculty of Engineering and Natural Sciences, holding a core academic position focused on advanced mathematical instruction and research. Her institutional role directly supports the faculty's mission in engineering and natural sciences education. Her research specialization centers on: Mathematical Analysis Function Theory These areas involve rigorous investigation of function properties, transformations, and applications in theoretical and applied mathematics, contributing to foundational advancements in scientific problem-solving methodologies.
