Doç. Dr. Hüseyin ATEŞ , since 2023, serves as a Full-Time Associate Professor at the Department of Mathematics and Science Education, Faculty of Education, Kırşehir Ahi Evran University . His academic journey includes a Ph.D. in Science Education (2019) from Middle East Technical University , a Master’s in Science Teaching (2013) from Erciyes University , and a Bachelor’s degree in Mathematics and Science Education (2011) from Erzincan University . He also holds a Vocational Associate Degree in Law from Anadolu University (2018).
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.
Ümit DEMİRAL is an Associate Professor at Ahievran University's Faculty of Education , Department of Basic Education . His academic career spans over two decades, with roles including Research Assistant (2009-2014), Faculty Member (2015-present), and Associate Professor (2019-present). He also served as Institute Director (2022) and Deputy Institute Director (2017-2022). Born in 1979 in Şavşat, Artvin PhD in Science Education, Karadeniz Technical University (2014) MSc in Science Education, Gazi University (2006) BSc in Mathematics and Science Education, Gazi University (2003) His research focuses on teacher education , science education , preschool education , and socioscientific issues . He explores argumentation frameworks , risk perception analysis , and decision-making strategies in educational contexts, particularly through projects like TÜBİTAK-supported Disaster-Based Learning Experiences and Nature-Based Learning Environments . Recent publications analyze genetically modified organisms in science curricula, critical thinking in teacher training, and early childhood conceptual development . The 15 most recent articles (2017-2024) reflect his specialization in science communication and pedagogical innovation . Ümit has supervised 3 master's theses and collaborated with institutions including Karadeniz Technical University , Gazi University , and Van Yüzüncü Yıl University . His work appears in journals like Journal of Research in Science Teaching and International Journal of Science and Mathematics Education , with over 225 citations.
Assoc. Prof. Dr. Mustafa SIRAKAYA is an Associate Professor at Kırşehir Ahi Evran University's Vocational School of Technical Sciences, Department of Computer Technology, specializing in Computer and Instructional Technologies Education. He has served at the university since 2013, progressing from Instructor to Doctoral Lecturer and currently Associate Professor while also holding administrative positions including Department Head since 2016. Dr. SIRAKAYA completed his academic journey with a strong foundation in educational technologies: Bachelor's Degree in Computer Education and Educational Technologies from Eskişehir Osmangazi University (2004-2008) Master's Degree in Computer Education and Educational Technologies from Hacettepe University (2009-2011) PhD in Computer and Educational Technologies Education from Gazi University (2012-2015) His research focuses on the intersection of technology and education, with particular expertise in Educational Technologies, Information Technology Education, and Instructional Design. Dr. SIRAKAYA has established himself as a leading researcher in augmented reality applications in education, digital literacy, and innovative teaching methodologies. His systematic review "Augmented reality in STEM education" (2022) with 138 citations demonstrates his scholarly impact. His work bridges theoretical frameworks with practical classroom implementations, emphasizing how emerging technologies transform learning experiences. Analysis of his publication trends reveals a clear evolution from foundational augmented reality research toward contemporary explorations of artificial intelligence in educational contexts. His 2025 publication on digital fluency for gifted students represents the cutting edge of his current work, while his systematic reviews have established foundational knowledge in educational technology. The consistent theme across his work is practical application of technology to solve real educational challenges across various educational levels. Among his recognitions: "Başarı Belgesi" (Certificate of Achievement) from the Ministry of National Education (2012) Dr. SIRAKAYA has actively contributed to numerous research projects, serving as principal investigator for initiatives like "Artırılmış Gerçeklikle Zenginleştirilmiş Kitap Geliştirilmesi" (2023-2024) and "Eğitimde Artırılmış Gerçeklik Kullanımı ve Uygulama Geliştirme" (2022-2023). His project portfolio demonstrates significant impact in augmented reality applications for engineering education, STEAM programs for gifted students, and flipped classroom models. He has collaborated extensively with national institutions including TÜBA and TÜBİTAK on educational initiatives, demonstrating his ability to secure competitive research funding and translate findings into practical applications. His extensive collaboration with researchers like Didem Alsancak Sırakaya (44 joint publications) indicates participation in technology-enhanced learning research teams. His recent focus on AI applications suggests emerging work in artificial intelligence education laboratories or initiatives, continuing his trajectory of addressing the most current challenges in educational technology.
Harun İLÇİOĞLU is a Lecturer at the Department of Turkish Language at Kastamonu University since 2019. He holds a PhD in Turkish Language Education from Abant İzzet Baysal University (2018-2025), an MSc in Modern Turkish Language from Pamukkale University (2009-2013), and a BA in Turkish and Social Sciences Education from Sakarya University (2006-2009). He has served as Chair of the Commission at Kastamonu University (2020-2022). Educational Background PhD: Turkish Language Education, Abant İzzet Baysal University (2018-2025) MSc: Modern Turkish Language, Pamukkale University (2009-2013) BA: Turkish and Social Sciences Education, Sakarya University (2006-2009) His research focuses on Turkish Education , emphasizing technological integration in language teaching. He has contributed to projects like the UN-Supported Turkish Language Education (2022) and 3 Dakikada Türkçe (2015-2016). His work explores the use of AI, films, and music in teaching Turkish to foreigners. Key publications include a 2024 study on AI-driven Turkish speech robots, a 2023 analysis of idiom teaching through films, and a 2018 book on teaching Turkish through songs. He also co-edited the 2024 book Current Discussions in Teaching Turkish to Bilinguals and Foreigners . Active in international conferences, he chaired a session on AI and Turkish education at the 2023 International Symposium on Teaching Turkish as a Heritage and Foreign Language . Certifications include a Turkish Teaching Certificate from Yunus Emre Institute (2016) and training in multicultural teaching environments (2008).
Professor Mehmet Barış Horzum is a distinguished academic at Sakarya University's Faculty of Computer and Information Sciences, Department of Data Science and Analytics. Previously affiliated with the Faculty of Education's Department of Computer and Instructional Technologies Education, his career demonstrates a trajectory from educational technology to data science applications in education. His research bridges psychology, chronobiology, and educational technology, making significant contributions across multiple disciplines. PhD in Educational Technology from Ankara University (2007) Master's in Computer and Instructional Technologies Education from Sakarya University (2003) Bachelor's in Science and Mathematics Education from Sakarya University (2001) Prof. Horzum's research focuses on the intersection of chronobiology and educational psychology, particularly examining how chronotype (morningness-eveningness preference) influences learning outcomes, cyberbullying behaviors, and technology use patterns. His work extends to educational technology, online learning barriers, and English Medium Instruction (EMI) success factors. His research methodology spans quantitative approaches including structural equation modeling and longitudinal studies, as well as qualitative investigations into disaster response and educational practices. His publication record shows consistent productivity with numerous high-impact articles in journals such as Higher Education, Computers in Human Behavior, and Chronobiology International. His recent work demonstrates increasing interdisciplinary reach, connecting educational research with disaster management, mental health, and data science applications. Prof. Horzum has supervised numerous graduate students across diverse research topics in educational technology and has served as principal investigator on multiple research projects funded by TÜBİTAK and university sources. His editorial work spans multiple international journals, reflecting his standing in the academic community. His laboratory work focuses on learning analytics, adaptive educational systems, and the application of chronobiological principles to educational design. Current projects include cloud-based distance education platforms and investigations into the psychological impacts of digital technologies on learning.
Gözde YOLCU ÖZTEL serves as Assistant Professor in the Department of Software Engineering at Sakarya University's Faculty of Computer and Information Sciences. With a Ph.D. in Computer and Information Engineering completed in 2019, she has established herself as an active researcher in artificial intelligence with significant contributions to computer vision applications. Her educational journey includes: Ph.D. in Computer and Information Engineering (2014-2019) with thesis on deep learning-based interest detection through facial analysis M.Sc. in Computer and Information Engineering (2012-2014) focusing on Kinect-based virtual mirror design B.Sc. in Computer Engineering (2007-2011) from Sakarya University Dr. YOLCU ÖZTEL's research bridges deep learning with practical healthcare and public safety applications. Her work demonstrates exceptional adaptability to emerging challenges, particularly in developing AI systems for pandemic response (masked face detection, social distancing monitoring) and medical diagnostics (monkeypox/skin lesion classification). She specializes in creating efficient mobile-compatible deep learning models that maintain accuracy while operating on resource-constrained devices. Analysis of her 15 most recent publications reveals a clear trajectory toward healthcare-oriented computer vision, with increasing focus on mobile medical applications since 2020. Her research consistently combines novel deep learning architectures with real-world implementation constraints, particularly smartphone deployment. The integration of traditional computer vision techniques (like LBP) with modern deep networks represents a distinctive methodological signature across her work. She actively contributes to research through TÜBİTAK 2209 projects as student advisor and leads institutional research initiatives including SAYZEK-ATP (2024) and MAG Engineering Research Support Group. Her project portfolio spans from mathematical assistant software development to emergency drone-based object detection and MRI-based brain tumor classification. Dr. YOLCU ÖZTEL teaches core software engineering courses including Database Management Systems, Artificial Intelligence Fundamentals, and Data Mining while maintaining active research output. She previously organized the 2017 Facial Expression Recognition workshop, demonstrating ongoing commitment to academic community building.
Professor Erdal Bay is a prominent academic at Gaziantep University's Faculty of Education, Department of Educational Sciences, where he serves as a Professor specializing in Curriculum and Instruction. With a distinguished academic career spanning over two decades, he has held various academic positions including Professor at Gaziantep Islamic Science and Technology University, Associate Professor, and Assistant Professor roles at Gaziantep University and Atatürk University. Doctorate in Education Programs and Instruction from Atatürk University (2008) Master's in Education Programs and Instruction from Atatürk University (2003) Undergraduate degree in Educational Sciences from Atatürk University (2000) Additional degree in Political Science and Public Administration from Anadolu University (2023) Professor Bay's research interests span Curriculum and Instruction, Education Policies, Social and Historical Foundations of Education, and Character Education. His scholarly work demonstrates a strong focus on constructivist learning approaches, cross-cultural educational comparisons, and citizenship education. He has made significant contributions to understanding educational paradigms and their evolution, particularly examining constructivism's trajectory in educational theory. His recent publications reveal a consistent focus on STEAM education, computational thinking, and character development in early childhood settings. Notably, his work examines Turkish educational policies within international contexts, comparing approaches across countries like Germany, Russia, and Balkan nations. His research on political foundations of social studies curricula demonstrates how government programs shape citizenship education in Turkey. Professor Bay has conducted extensive research on teacher education, including professional development for Syrian refugee teachers and Kosovar educators. His work often explores effective instructional strategies and their impact on student achievement across various educational contexts. As a dedicated academic, he has supervised numerous research projects, including those focused on cultural diplomacy through gastronomy and Turkish world citizenship education. His scholarly output includes 20 books and book chapters, 74 articles, 68 conference presentations, and 37 research projects, demonstrating remarkable productivity and influence in the field of education.
Feride KULALI ÖZDEK serves as an Associate Professor at Uskudar University's School of Health and Medical Sciences in the Department of Nuclear Technology and Radiation Safety. She holds dual leadership roles as Deputy Director of SHMYO and Director of ÜSMERA, while also heading the Radiotherapy and Audiometry programs. Her academic journey began with undergraduate studies in Physics at Süleyman Demirel University (2005), followed by a Master's (2009) and Doctorate (2016) in Nuclear Physics from the same institution. She joined Uskudar University as a PhD Lecturer in 2018. Her research spans Radiation Protection , Nuclear Physics , and Earthquake Prediction Methods , with particular expertise in radon monitoring systems and gamma-ray shielding materials. Key projects include investigating radon concentration correlations with seismic activity, developing radiation shielding composites, and assessing radiation exposure in medical and environmental contexts. Her work bridges nuclear physics with practical applications in public health and disaster prediction. Analysis of her 15 most recent publications (2014-2025) reveals three dominant research streams: (1) Radon-based seismological prediction systems (40% of output), (2) Radiation shielding materials development (30%), and (3) Medical radiation dosimetry applications (20%). Her work demonstrates strong interdisciplinary connections between nuclear physics, environmental science, and medical applications. Administrative leadership includes significant roles across 17 committees (2018-2025), particularly in curriculum development, quality assurance, and international student affairs. She has supervised one master's thesis on AI applications for nuclear power plant safety and teaches 16 undergraduate courses including Reactor Theory, Radiation Physics, and Accelerator Physics.
Recep Firat Cekinel is a Turkish NLP researcher who recently obtained his Ph.D. in Computer Engineering from Middle East Technical University (METU). He spent 13 months as a visiting predoctoral researcher at the University of Tübingen and is currently a researcher on the EU-funded EXA4MIND project, where he develops NLP pipelines that convert natural language into database queries using large language models. His research focuses on responsible, scalable AI systems and bridges foundational NLP work with real-world applications. Education: Ph.D. in Computer Engineering, Middle East Technical University (METU), Türkiye Visiting Predoctoral Researcher, University of Tübingen, Germany (13 months) Research Interests: Dr. Cekinel’s work spans natural language processing , multimodal fact-checking , explainable AI , and large language models . He is particularly interested in building responsible and scalable AI systems that integrate foundational research with practical deployments, such as natural-language interfaces for high-performance computing environments. Recent Publication Trends: His 2025 publications reveal a concentrated effort on multilingual and multimodal fact-checking , satire-style debiasing , and NL-to-database-query generation . Earlier work explores graph-based event extraction , Turkish irony detection , and cultural-heritage text mining , demonstrating a trajectory from low-resource Turkish NLP toward globally applicable, responsible-AI systems. Contact & Code: Email: rfcekinel@ceng.metu.edu.tr Office: METU Computer Eng. Dept. A-206, 06800 Ankara, Turkey Phone: +90-(312)-210-5593 GitHub: firatcekinel Google Scholar: profile available
Tarik Kelestemur is a roboticist specializing in autonomous systems, with affiliations including Boston Dynamics AI Institute and Northeastern University. His work bridges robotics, artificial intelligence, and computer engineering, focusing on tactile manipulation, 3D semantic understanding, and policy learning frameworks. His research interests include: Robotics Artificial Intelligence Machine Learning Computer Engineering Autonomous Systems Human-Robot Interaction Recent publications highlight advancements in diffusion policies, vision foundation models, and 3D relational object graphs. Tarik received an Outstanding Paper Award Finalist at CoRL 2024 and contributes to open-source robotics projects like point_cloud_proc and icub_arm_imitator .
Matteo Poggi is a Tenure-Track Assistant Professor at the University of Bologna, where he teaches courses on Logic Circuits and Computer Architectures. His academic career is deeply rooted in computer vision and 3D perception, with a focus on stereo vision, depth estimation, and SLAM systems. Dr. Poggi earned his MSc and PhD degrees from the University of Bologna in 2014 and 2018 respectively, working on stereo vision under the supervision of Prof. Stefano Mattoccia. His educational background has provided a strong foundation for his current research endeavors in computer vision and 3D scene understanding. Dr. Poggi's research primarily focuses on stereo matching, multi-view stereo, optical flow, single-image depth estimation, online adaptation, federated learning, and neural SLAM. His work bridges the gap between theoretical computer vision and practical applications, with particular emphasis on robustness in real-world scenarios. His recent publications demonstrate a growing interest in 3D Gaussian splatting, neural radiance fields, and environmental monitoring applications like river plastic detection. His scholarly output shows a consistent trajectory of high-impact publications at top computer vision conferences including CVPR, ICCV, and ECCV. The trend in his work reveals an evolution from traditional stereo vision techniques toward more advanced neural representations and applications in environmental monitoring. His research has significant implications for autonomous systems, robotics, and environmental science. Area Chair for CVPR 2026 Associate Editor for IJCV Outstanding Reviewer at CVPR 2025 Dr. Poggi actively collaborates with researchers across the globe, as evidenced by his extensive publication record. His GitHub profile shows active engagement with the research community through open-source implementations of his work. While specific grant information isn't provided in the available texts, his numerous publications in top venues suggest successful funding for his research endeavors. His work appears to be conducted within a vibrant research group at the University of Bologna, with connections to other researchers in the computer vision community as seen through his GitHub followers and collaborators. His research has practical applications in autonomous driving, robotics, and environmental monitoring.
Ali Emre Turgut is an Associate Professor at Middle East Technical University (METU) in Ankara, Turkey. His research intersects robotics, control systems, and bio-inspired design, with a focus on swarm robotics, UAVs, and complex systems. He maintains a formal email address ( aturgut@metu.edu.tr ) and an online presence at users.metu.edu.tr/aturgut . Education B.Sc. in Electrical Engineering, METU (1996) M.Sc. in Electrical Engineering, METU (1999) Ph.D. in Electrical Engineering, METU (2008) Research Interests center on swarm robotics , mechatronics , and unmanned aerial vehicles (UAVs) . His work explores self-organization in robotic swarms, bio-inspired control mechanisms, and adaptive systems for complex environments. Key themes include: Swarm intelligence for collective motion and task specialization Design and control of aerial and legged robots Applications in environmental monitoring, manufacturing, and biological interaction Publication Trends highlight his leadership in swarm robotics, with recent works addressing predictive flocking algorithms, biohybrid platforms, and exoskeleton-assisted motor learning. His studies often integrate hardware design with computational models. Advising and Grants information is unavailable in the provided texts, though his active research role since 2008 suggests significant contributions to graduate training and funded projects in robotics.
Assistant Professor Sukru Kitis is a dedicated academic at Kütahya Dumlupınar University's Simav Faculty of Technology, Department of Electrical-Electronics Engineering. With over 15 years of academic experience, he has progressed from Instructor (2009-2019) to Doctor Lecturer (2019-present), currently serving as Deputy Head of Department since 2022. His academic journey includes a Bachelor's and Master's in Electrical-Electronics Engineering from Niğde University, followed by a PhD from Sakarya University. His educational background includes: 1999-2004: Bachelor's in Electrical-Electronics Engineering, Niğde University 2004-2007: Master's in Electrical-Electronics Engineering, Niğde University 2008-2019: PhD in Electrical-Electronics Engineering, Sakarya University Professor Kitis's research spans two primary domains with significant interdisciplinary connections: biomedical engineering and renewable energy systems. His biomedical work focuses on advanced signal processing techniques for EEG and ECG analysis, novel filter design for medical applications, and increasingly, machine learning approaches to medical diagnostics including thyroid cancer examination, obesity stage detection, and neurological disorder assessment. His energy research centers on geothermal heating system automation, solar energy applications, and innovative vehicle design using alternative energy sources. These research strands converge in his recent work on providing energy for biomedical devices using renewable resources. His publication record demonstrates strategic evolution from circuit design and biomedical instrumentation (2012-2017) toward data-driven healthcare solutions (2018-2025), while maintaining parallel expertise in sustainable energy systems. This dual focus creates unique opportunities for students interested in the intersection of healthcare technology and sustainable engineering. Professor Kitis has received recognition for his scholarly contributions, most notably the Best Paper award in 2017. His research impact extends through: 93 publications including journal articles and conference proceedings 3 major research projects related to forest fire monitoring, electric vehicle design, and geothermal system automation 2 scientific awards including Best Paper 2017 As an educator and mentor, Professor Kitis supervises numerous graduate students working on cutting-edge projects at the intersection of electrical engineering, biomedical applications, and renewable energy. His administrative roles as Department Head (2019-2021) and current Deputy Head of Department demonstrate leadership within his academic community while maintaining active research and teaching responsibilities. His lab environment emphasizes practical application of theoretical concepts, with students working on real-world problems in medical device development, energy system optimization, and data-driven healthcare solutions. The interdisciplinary nature of his research creates a dynamic environment where electrical engineering principles meet medical and environmental challenges.
Dr. Ali Aycan Gürbüz serves as Doctor Lecturer (Assistant Professor) in the Department of Cartoon and Animation at Dumlupinar University's Faculty of Fine Arts. With continuous service since 2011, he teaches extensive undergraduate and graduate coursework while leading research in animation production technologies and arts education methodology. His educational background includes: Bachelor's in Business Administration, Anadolu University (2004-2007) Bachelor's in Painting, Dumlupinar University (2006-2007) Bachelor's in Visual Communication Design, Dumlupinar University (2007-2010) Master's in Graphics, Dumlupinar University (2011-2014) Proficiency in Arts (doctoral equivalent), Eskişehir Osmangazi University (2015-2020) Research focuses on motion capture integration, 3D printing applications for animation assets, and optimizing physical learning environments for audiovisual education. His work bridges technical innovation with pedagogical practice in cartoon and animation production. Recent publications (2022-2025) demonstrate applied research in animation technology development and arts education, with significant contributions to motion capture documentation and workshop design principles. Key themes include hybrid digital-physical production workflows and environmental factors affecting creative learning. Current research leadership includes: 'Young Entrepreneurs on the Path to Creative Cultural Industries' (2022-2024) 'Increasing psychological well-being through art practices' (2024) 'Effects of Physical Features of Workshops on Learning' (2023-2024) He advises Master's students through Thesis Management courses and supervises undergraduate animation projects within the department's studio environment.
