جست‌وجوی استاد و پژوهشگر

Ali Yaparمشاهده پروفایل

استاد

• Electromagnetics
• Microwave Engineering
• Antenna Technologies
• +۳ مورد دیگر

Professor Ali Yapar is a faculty member at Istanbul Technical University in the Electronics and Communication Engineering department. His research focuses on Electromagnetics , Microwave Engineering , and Antenna Technologies , with a particular emphasis on inverse scattering problems and microwave imaging for biomedical applications. He has supervised numerous graduate students and led projects related to breast cancer treatment and rough surface imaging. PhD in Electronics and Communication Engineering from Istanbul Technical University (1997) MSc in Electronics and Communication Engineering (1995) His recent publications analyze advanced techniques for microwave hyperthermia systems, reverse time migration methods, and Newton-based solutions for electromagnetic inverse scattering. Key projects include TUBITAK-funded initiatives on microwave tomography and brain stroke imaging. He serves as a project investigator and executive for electromagnetic research programs. Research areas span Electromagnetic Wave Propagation , Green's Function Applications , and Dielectric Material Analysis . Collaborations include IEEE members and international researchers in computational electromagnetics.

Ayhan Günمشاهده پروفایل

دانشیار

• Control Systems
• Mathematical Modeling in Electrical Engineering
• Artificial Neural Networks
• +۱۲ مورد دیگر

Assoc. Prof. Dr. Ayhan Gün is an Associate Professor in the Department of Electrical and Electronics Engineering at Kütahya Dumlupınar University's Faculty of Engineering. With a career spanning over two decades, he has held various academic positions including Research Assistant, Assistant Professor, and currently Associate Professor since 2024. His extensive administrative experience includes serving as Head of the Control and Command Systems Department (2007-2021) and various leadership roles in university-industry collaboration initiatives. Dr. Gün completed his Bachelor's degree at Near East University (1991-1996), Master's at Dumlupınar University (1998-2001), and PhD at Eskişehir Osmangazi University (2001-2007). His research focuses on control systems, mathematical modeling, artificial neural networks, robotics, SCADA, PLC programming, electromechanical systems, nonlinear control, fuzzy logic, optimization techniques, automation, biomechanics, and mechatronics. His recent publications demonstrate a consistent research trajectory in control engineering, with particular emphasis on optimization algorithms applied to quadrotor control, inverted pendulum systems, and electrical motor design. His work bridges theoretical control concepts with practical implementations in robotics and power systems. A significant portion of his research involves applying swarm intelligence and evolutionary algorithms to solve complex control problems. Bilim, Sanayi ve Teknoloji Bakanlığı Kurumsal Kapasitenin Arttırılması (2016) BİLİM SANAYİ VE TEKNOLOJİ BAKANLIĞI Çift Beslemeli İndüksiyon Generatörü Tasarımı ve İmalatı (2016) Dr. Gün has supervised multiple graduate students and managed numerous research projects, including the current 'Robotic Arm Design and Implementation for Patients with Hemiparetic Arms' project. His external roles include serving as an expert witness for judicial institutions, project referee for TÜBİTAK, and publication reviewer for IEEE Transactions. He has also contributed to regional development through his work with Kütahya Governorship's Planning and Development Board.

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.

Burhaneddin İzgiمشاهده پروفایل

دانشیار

• Game Theory
• Stochastic Differential Equations
• Numerical Analysis
• +۳ مورد دیگر

Burhaneddin İzgi serves as an Associate Professor in the Department of Mathematics Engineering at Istanbul Technical University, where he maintains an active research profile with projects extending through 2025. His work bridges theoretical mathematics with computational applications, particularly in game-theoretic problem solving. Research interests center on Game Theory and Stochastic Differential Equations, with specialized focus on matrix norm-based solution methods for zero-sum, fuzzy, and stochastic matrix games. Recent work integrates Artificial Intelligence techniques to address large-scale game complexity, reflecting interdisciplinary innovation across Numerical Analysis and Fuzzy Mathematics. Article trends (2022-2025) reveal consistent advancement of matrix norm methodologies across diverse game types, increasingly incorporating machine learning for computational efficiency. Publications demonstrate strong theoretical grounding in Mathematics while addressing practical applications in finance (e.g., IPO modeling) and decision systems. Scientific recognition includes: 2210 - Yurt İçi Yüksek Lisans Burs Programı (2008) 2211 - Yurt İçi Doktora Burs Programı (2010) Matematik Bölüm Birinciliği (2008) Üniversite İkinciliği ödülü (2008) Research funding includes TUBITAK-supported projects such as 'Stokastik Oyunlar İçin Matris Norm Tabanli Yeni Çözüm Yöntemleri Ve Yapay Zeka Uygulamalari' (2021-2023) and current grants developing chaos theory approaches for stochastic matrix games (2024-2025), demonstrating sustained external validation of his research program.

Özgün Ünlüمشاهده پروفایل

دانشیار

• Algebraic Topology
• Category Theory
• Group Actions on Manifolds

Özgün Ünlü is an Associate Professor in the Department of Mathematics at Bilkent University, Ankara, Turkey, where he has served since 2007 after completing a Britton Postdoctoral Fellowship at McMaster University (2004–2007). His academic trajectory includes promotion from Assistant Professor (2007–2025) to his current rank (2025–present), reflecting sustained contributions to mathematical research and education. Education: B.Sc. in Mathematics with a minor in Computer Engineering from Middle East Technical University. Ph.D. in Mathematics from the University of Wisconsin-Madison under Prof. Alejandro Ádem. Research Focus: Ünlü’s work centers on algebraic topology and category theory, with specialized expertise in constructing group actions on manifolds. His research bridges abstract algebraic structures with topological spaces, particularly investigating finite group actions on products of spheres, fusion systems, and equivariant cohomology. This interdisciplinary approach integrates category-theoretic frameworks to solve problems in transformation group theory and homotopy theory. Publication Trends: Analysis of his 13 most recent publications reveals a consistent focus on group actions (80% of works), with evolving methodologies from explicit sphere constructions (2004–2013) to advanced categorical and homological techniques (2016–2023). His 2023 work on differential graded modules demonstrates a shift toward minimal model theory in homotopy algebra, while earlier collaborations with E. Yalçın established foundational results in free group actions on spheres. Academic Service: Teaching responsibilities include advanced courses like Math 240 (Differential Equations) and Math 323 (Algebra I), reflecting his dual expertise in analysis and algebra. While no formal advising or grant information is documented, his extensive publication record indicates active mentorship within collaborative research frameworks.

BAYRAM ÇETİNمشاهده پروفایل

استاد

• Measurement and Evaluation in Education
• Educational Statistics
• Research Methods in Education
• +۳ مورد دیگر

Professor BAYRAM ÇETİN is affiliated with Gaziantep University , where he serves in the Faculty of Education within the Department of Educational Sciences , specializing in Measurement and Evaluation in Education . His academic career spans multiple institutions, including Gazi University and Sakarya University. Doctorate in Measurement and Evaluation in Education (2005, Hacettepe University) Master’s in Measurement and Evaluation in Education (2002, Hacettepe University) Licence in Classroom Teaching (1993, Çukurova University) His research focuses on educational measurement , psychometric modeling , statistical analysis in education , and assessment equity . He has developed numerous scales and rubrics for educational evaluation, emphasizing SOLO taxonomy , CHAID analysis , and generalizability theory . Professor Çetin has authored 12 books/chapters, including Research Methods in Education and Measurement and Evaluation in Education , and published over 65 peer-reviewed articles. His recent work explores online formative assessment , ADHD diagnostics , and cross-cultural PISA data . He has supervised 25+ theses, including studies on cyberbullying , metacognition , and test development . He has held administrative roles such as Director of Research and Application Center (2022) and Dean (2020). His projects include international collaborations like Erasmus+ KA201 and national grants on virtual reality in medical education .

• Biostatistics
• Statistical Analysis
• Applied Statistics
• +۵ مورد دیگر

Professor Ufuk Karadavut serves at Karabük University Faculty of Medicine, Department of Basic Medical Sciences, where he holds the position of Professor and currently serves as Vice Dean. Previously, he was Dean of the Faculty of Medicine from 2021-2022 and has held multiple leadership roles including Head of Department since 2020. With an extensive publication record of 493 works and significant contributions to both medical and agricultural statistics, his career spans multiple Turkish universities including Ahi Evran University and Bingöl University. PhD, Selçuk University, Institute of Science (2001-2005) Bachelor's Degree, Ankara University, Faculty of Agriculture, Department of Animal Science (1987-1991) Professor Karadavut's research spans biostatistics, medical informatics, and agricultural statistics, with particular expertise in statistical experimental design. His work bridges healthcare applications (medical informatics, clinical data analysis) with agricultural science (crop breeding, animal husbandry). He has developed statistical methodologies applicable across diverse fields, from analyzing palliative care outcomes to optimizing chickpea breeding programs for drought tolerance. His research demonstrates a consistent pattern of applying advanced statistical techniques to solve practical problems in both medical and agricultural contexts. Analysis of his recent publications reveals a strong focus on applying statistical methodologies to address contemporary challenges. In medical informatics, he examines healthcare quality, medical education, and pandemic impacts. In agricultural science, his work centers on crop improvement (particularly chickpeas and other legumes) and animal breeding. His statistical approaches include multivariate analysis, QTL mapping, growth modeling, and machine learning techniques, demonstrating methodological versatility across disciplinary boundaries. While specific awards aren't detailed in the available information, his h-index of 11 (UNIS) and 8 (WoS), along with 583 total citations, indicate significant scholarly impact. His research has attracted funding from major Turkish research bodies including TÜBİTAK and university-supported projects. Professor Karadavut has supervised 13 theses across multiple institutions and taught diverse courses ranging from medical bioinformatics to agricultural statistics. His research portfolio includes 31 projects, with recent work focusing on climate change adaptation in livestock, medical informatics applications, and advanced statistical methodologies for agricultural research. He has collaborated extensively with researchers across multiple Turkish institutions, demonstrating strong interdisciplinary networking capabilities.

Semih Doğuمشاهده پروفایل

استادیار

• Electromagnetic Theory
• Microwave Imaging
• Inverse Scattering Problems
• +۳ مورد دیگر

Semih Doğu is an Assistant Professor at the Department of Electronics and Communication Engineering , Faculty of Electrical and Electronics Engineering , Istanbul Technical University . His research focuses on Electromagnetic Theory , Microwave Imaging , Inverse Scattering Problems , and Antenna Design . Doctorate: Istanbul Technical University (2023) Master's: Istanbul Technical University (2017) Bachelor's: Yıldız Technical University (2015) His research interests emphasize microwave-based diagnostics, including: Microwave imaging for breast cancer detection Antenna optimization for medical and security applications Inverse problem solving in electromagnetic systems Through-the-wall imaging for surveillance Semih Doğu's recent publications demonstrate his expertise in: Neural networks for temperature monitoring in hyperthermia Ku/Ka-band antenna designs for satellite systems Microwave salinity sensing Algorithm development for improved imaging accuracy He contributes to the ITU Electromagnetics Research Group , participating in projects like: Microwave Brain and Breast Imaging Device Development Compressed Sensing for Energy-Efficient Communication Microwave Tissue Analysis

• Mathematics Education
• Teacher Education
• Algebra Teaching
• +۴ مورد دیگر

Ali Bozkurt is a Professor in Mathematics Education at the Gaziantep Education Faculty , Gaziantep University. His academic career spans over two decades, with previous roles including Associate Professor (2013-2019) and Assistant Professor (2008-2013) at the same institution. He holds a PhD (2007), MS (2001), and BS (1999) in Mathematics Education from Selçuk University. Research Focus: Mathematics education, teacher training, algebraic/geometric reasoning, technology integration, STEM education, and educational activity design. Key Projects: Led TÜBİTAK and higher education institution-funded projects on innovative mathematics pedagogy, technology-enhanced classrooms, and quality of mathematics instruction. Publications include 31 books/chapters and 59 articles, emphasizing cognitive demand in textbooks, ethical decision-making in teaching, and activity evaluation frameworks. His work has been presented at international conferences like ICME-15 and ERME. He collaborates with scholars such as Mehmet Fatih Özmantar and Begüm Özmuşul on algebraic habits and geometric reasoning. Scientific Contributions: Developed the Activity Evaluation and Feedback Tool (AEFT) and analyzed mathematics instruction quality in Turkey and Syria. Advising: Mentors graduate students and pre-service teachers, particularly in algebraic/geometric reasoning and classroom practices.

Hüseyin Emre Becerمشاهده پروفایل

استاد

• Fine Arts Core Field
• Design
• Graphic Design

Prof. Dr. Hüseyin Emre Becer is a Professor at the Faculty of Fine Arts , Graphic Design Department , Yeditepe University since 2018. He previously held academic positions at Marmara University (1989–2005), İhsan Doğramacı Bilkent University (1986–1989), and Dokuz Eylül University (1983–1986). Education: Doctorate from Marmara University (1982–1986), Master’s in Graphic Arts (1982–1986), and Undergraduate in Graphic Arts (1976–1980). His research focuses on Fine Arts Core Field , Design , and Graphic Design , with emphasis on typography, visual hierarchy, and historical design principles. His work explores the application of mathematical concepts like the Golden Ratio in graphic design, modernist typography , and interdisciplinary art practices such as collage. Prof. Becer’s recent publications analyze trends in typography , graphic design education , and visual communication , bridging traditional and digital design methodologies. He has contributed to academic discourse on packaging design , advertising strategies , and design pedagogy . Scientific Awards: Birincilik Ödülü (First Prize) - Philatelic Music Circle, İNGİLTERE İkincilik Ödülü (Second Prize) - TÜRKİYE Şeref Mansiyonu (Honorable Mention) - Aydın Doğan Vakfı, TÜRKİYE Özel Ödül (Special Award) - Çankaya Belediyesi, TÜRKİYE He has guided over 20 Master’s and PhD theses, including studies on corporate identity design , digital typography , and political poster analysis . Currently, he teaches courses in Typography , Packaging Design , and Graphic Design Theory , while organizing workshops on visual communication and design education .

• Early Childhood Education
• STEM Education
• Science and Technology Education
• +۳ مورد دیگر

Ali İbrahim Can GÖZÜM serves as an Associate Professor in the Department of Preschool Education at Kafkas University's Dede Korkut Faculty of Education. With dual doctoral degrees in Preschool Education from Gazi University and Science Education from Ondokuz Mayıs University, he specializes in early childhood science and technology education. His academic journey includes progressive appointments from Research Assistant (2013) to Associate Professor (2022), alongside administrative roles including Dean Assistant and Career Center Director. His research focuses on early childhood STEM education , digital game mediation , and cognitive development , reflected in over 90 publications with significant international impact (Google Scholar h-index: 18). Current projects examine flipped classroom models in language education and nature-based learning environments. His editorial leadership includes Editor-in-Chief of e-Kafkas Journal of Educational Research and Associate Editor for Frontiers in Education 's STEM section. Notable scientific recognition includes TUBITAK's Publication Incentive Award. His advising includes master's theses on self-regulation and number sense development. Active in professional development, he conducts workshops on digital parenting and AI libraries, demonstrating commitment to bridging research with practical educational applications.

Özkan Ergeneمشاهده پروفایل

دانشیار

• Mathematics Education
• Prospective Mathematics Teacher Education
• Problem Solving and Problem Posing
• +۱۲ مورد دیگر

Özkan Ergene is an Associate Professor in the Department of Mathematics and Science Education at Sakarya University Faculty of Education . He has been actively contributing to the field of mathematics education since 2015 and currently serves as the Head of the Department of Mathematics Education and Deputy Head of the Department of Mathematics and Science Education. His academic work spans teaching, research, editorial duties, and leadership in academic organizations. Education: Doctorate in Mathematics Teaching, Marmara University Institute of Educational Sciences, 2019 Master's in Mathematics Teaching, Marmara University Institute of Educational Sciences, 2014 Bachelor's in Mathematics Teaching, Marmara University Atatürk Faculty of Education, 2012 (Top student) His research interests center on mathematics education , particularly prospective mathematics teacher education , problem solving and posing , mathematical modeling , and measurement and evaluation . He also explores the integration of artificial intelligence and innovative methods like origami and ethnomathematics in teaching. His recent publications reflect a strong focus on conceptual understanding in calculus, AI in education, and teacher/student perceptions. The analysis of his recent articles reveals a consistent trend in investigating mathematical thinking processes , especially in areas like infinite sets , integrals , and problem posing . He frequently employs qualitative and instrument development methodologies, often focusing on pre-service teachers and secondary students . The integration of technology , particularly AI tools like ChatGPT, is an emerging and prominent theme in his latest work. Scientific Awards: TUBİTAK_2211 Yurt İçi Lisansüstü Burs Programı Doktora Bursiyerliği TUBİTAK_2211 Yurt İçi Lisansüstü Burs Programı Yüksek Lisans Bursiyerliği He actively supervises graduate students, with several ongoing and completed master’s theses under his guidance, such as those on the flipped classroom model and mathematical modeling. He has served as a consultant for TÜBİTAK projects and has been involved in numerous research grants, demonstrating his role in securing and managing academic funding. His editorial contributions include peer review for high-impact journals like Education and Information Technologies , Journal of Pedagogical Research , and International Journal of Science and Mathematics Education . He is a member of several academic communities, including the European Society for Research in Mathematics Education (ERME) and the British Society for Research into Learning Mathematics . He has organized and moderated sessions at international conferences like ERPA Congress and UFBMEK, and he leads the Mathematics Education Community at his university, highlighting his active role in fostering academic collaboration.

Orhan Kaplanمشاهده پروفایل

مدرس

• Mathematics Education
• Algebra Teaching
• STEAM Education
• +۴ مورد دیگر

Dr. Orhan Kaplan serves as a Lecturer at Gaziantep University's Nizip Vocational School in the Marketing and Advertising Department since 2019, with prior appointment in the Mathematics Education Department at Nizip Faculty of Education (2021). Holding a doctorate in Curriculum and Instruction (Mathematics Education) from the University of Florida, he maintains active research in mathematics education with particular focus on algebra pedagogy, STEAM integration, and educational technology. His research interests encompass Mathematics Education , Algebra Teaching Methodologies , STEAM Curriculum Development , Educational Technology Integration , and Critical Thinking Development . Current projects include TÜBİTAK-funded research on 'Artificial Intelligence Applications in Mathematics Education' and comparative analyses of mathematics curricula across Türkiye and the United States. Recent publications reveal a strong emphasis on digital technology's impact on creative thinking (2025), ChatGPT integration in teacher education (2024), and critical analysis of algebra curricula (2025). His scholarly work spans quantitative studies using PISA data, qualitative analyses of teacher reflections, and historical examinations of NCTM's evolution regarding equity and assessment. Certificate of Appreciation for Master's Education (Turkish Consulate General, New York) Certificate of Appreciation for Upward Bound Program Services (University of Florida) Measurement and Evaluation Certificate (Gaziantep) As an educator, Kaplan teaches courses including Primary School Mathematics Teaching, Problem Solving in Mathematics, and Communication in Mathematics Classrooms. He has served on organizing committees for international symposia including BİLTEK-IV (2021) and NCTM Annual Meeting Exposition (2018), demonstrating active engagement in global mathematics education communities through his National Council of Teachers of Mathematics membership since 2012.

Selin Aslanمشاهده پروفایل

استادیار

• Applied Mathematics
• Computational Mathematics
• Imaging Science
• +۲ مورد دیگر

Selin Aslan serves as an Assistant Professor in the Department of Mathematics at Koç University, Istanbul, Turkey, where she conducts research at the intersection of computational mathematics and imaging science. Her academic appointments and research activities are centered within the university's mathematics department, contributing to both undergraduate and graduate education in mathematical sciences. Her educational qualifications include: PhD in Mathematics from Virginia Polytechnic Institute and State University (2018) Master's in Mathematics from Rochester Institute of Technology (2013) B.A. in Mathematics from Ege University (2010) Dr. Aslan's research program focuses on developing advanced computational methods for solving inverse problems in imaging, with particular expertise in phase retrieval, tomographic reconstruction, and ptychography. Her work bridges theoretical mathematics with practical applications in medical imaging, microscopy, and materials science, emphasizing algorithmic innovation and computational efficiency. She integrates techniques from deep learning, optimization theory, and high-performance computing to address challenges in image reconstruction under physical constraints. Analysis of her publication record reveals a consistent trajectory toward solving complex imaging problems through hybrid approaches that combine physics-based models with data-driven techniques. Her recent work demonstrates increasing emphasis on scalability for large datasets, robustness in photon-limited scenarios, and real-time processing capabilities, with applications spanning biomedical imaging to advanced microscopy. No scientific awards were documented in the available sources. Information regarding student advising and research grant activities was not specified in the provided materials, though her publication record suggests active research collaboration. Her computational focus implies engagement with high-performance computing resources for large-scale image reconstruction tasks. While specific laboratory infrastructure details were unavailable, her research on multi-GPU implementations and distributed computing indicates utilization of advanced computational facilities for handling large-scale imaging datasets.

Savaş Dayanıkمشاهده پروفایل

استاد

• Stochastic processes
• Stochastic modeling
• Stochastic dynamic programming
• +۴ مورد دیگر

Prof. Dr. Savaş Dayanık is a faculty member at Bilkent University, where he contributes to the fields of Industrial Engineering and Operations Research as a Professor. He holds a Ph.D. and M.Phil. from Columbia University and has been affiliated with Bilkent University for his M.S. and B.S. degrees, indicating a long-standing academic relationship with the institution. Education: Ph.D., 2002, Industrial Engineering and Operations Research, Columbia University M.Phil., 2000, Industrial Engineering and Operations Research, Columbia University M.S., 1996, Industrial Engineering, Bilkent University B.S., 1994, Industrial Engineering, Bilkent University His research focuses on advanced stochastic methodologies, including Stochastic Processes, Stochastic Dynamic Programming, and Stochastic Optimal Control. These theoretical frameworks are applied to practical challenges in Financial Engineering, Statistics, and Operations Management, bridging mathematical rigor with real-world problem-solving in industrial and financial systems.