Assoc. Prof. Duygu Koçak is an academic at Alanya Alaaddin Keykubat University's Faculty of Education, specializing in Measurement and Evaluation in Education. She holds a Ph.D. from Ankara University (2016) and conducted postdoctoral research at the University of Toronto (2018-2019). Her roles include Associate Professor, Department Head, and Deputy Head of Department at her current institution. Her research focuses on educational measurement, psychometrics, and statistical methodologies in education. Her academic journey includes positions at Adıyaman University (2014-2016) and lecturing roles since 2016. She has authored/co-authored over 30 peer-reviewed articles on topics like test validity, Monte Carlo simulations, and learning disabilities. Notable works include the 'Academic Jealousy Scale' (2019) and studies on homework impact (2020). Dr. Koçak has contributed to edited volumes on data analysis and measurement tools. She serves as a referee for journals like the Journal of Measurement and Evaluation in Education and Psychology and has presented at international conferences on educational statistics and assessment.
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.
GÜÇLÜ ŞEKERCİOĞLU is an Associate Professor at Akdeniz University, Faculty of Education, Department of Educational Sciences. Currently serving as Director of the Center for Measurement, Evaluation, Certification Research and Application and Director of the Institute of Educational Sciences since 2022, they also hold the position of Vice Dean of the Faculty of Education (2022-2025). Their academic career spans over 15 years at Akdeniz University, progressing from Research Assistant (2010-2011) to Assistant Professor (2011-2019) and currently Associate Professor (2019-present). Academic background includes: Doctorate (2003-2009): Ankara University, Institute of Educational Sciences, Measurement and Evaluation Postgraduate (1998-2001): Ankara University, Institute of Educational Sciences, Measurement and Evaluation Undergraduate (1993-1997): Ankara University, Faculty of Educational Sciences, Psychological Services in Education Dr. Şekercioğlu's research focuses on the intersection of psychometrics, educational measurement, and statistical analysis in educational contexts. Their work demonstrates deep expertise in measurement invariance, differential item functioning, scale development and validation, and advanced statistical methods in education. They have developed specialized knowledge in analyzing international assessments like PISA and TIMSS, with particular attention to cross-cultural measurement equivalence. Their research methodology combines rigorous quantitative approaches with practical applications in educational settings, contributing significantly to the understanding of how psychological constructs can be reliably measured across diverse populations. Analysis of their publication record reveals a strong emphasis on measurement theory and its practical applications in educational contexts. Their work consistently addresses critical issues in cross-cultural assessment, scale adaptation, and the psychometric properties of educational instruments. A notable trend is the application of advanced statistical techniques to solve practical measurement problems in education, particularly focusing on how tests function across different language groups and cultural contexts. They have made significant contributions to understanding measurement invariance in international assessments like PISA, with implications for fair and valid cross-national comparisons. Dr. Şekercioğlu has supervised 8 theses at various levels and serves on numerous doctoral and master's thesis committees. Their research is supported by multiple grants, including several TÜBİTAK projects addressing critical educational issues such as child sexual abuse prevention, nursing education assessment, and language acquisition among immigrant children. They actively contribute to the academic community through peer review activities for journals like Educational Sciences: Theory & Practice and Hacettepe Education Faculty Journal.
Bekir Taner Dincer is a Professor at Muğla Sıtkı Koçman University, Faculty of Engineering, Department of Computer Engineering. He has been actively teaching courses including Web Development and Programming, Artificial Intelligence, Data Mining, Natural Language Processing, and Senior Design Projects for multiple academic years including the upcoming 2025-2026 term. Dr. Dincer earned his Bachelor's degree in Statistics from Middle East Technical University (1988-1993), followed by a Master's degree in Statistics and Computer Science from Muğla Sıtkı Koçman University (1996-1998), and completed his Doctorate in Computer Science from Ege University's International Computer Institute (1998-2004). His research focuses on Information Retrieval, Natural Language Processing (particularly for Turkish language), and related computational linguistics areas. His work addresses challenges in Turkish language processing including morphological analysis, constituent chunking, information retrieval systems, and term weighting methods. He has made significant contributions to adapting information retrieval techniques for agglutinative languages like Turkish, which presents unique challenges compared to Indo-European languages. His publication record shows a consistent research trajectory with recent work (2013-2018) focusing on risk-sensitive evaluation methods, learning to rank, entity recognition in big data, and specialized approaches for Turkish language processing. His research often bridges theoretical information retrieval concepts with practical applications for Turkish text processing. Dr. Dincer has served as editor for prestigious publications including the International ACM SIGIR Conference proceedings and ACM Transactions on Information Systems journal, demonstrating recognition of his expertise by the international research community. He has supervised numerous graduate students, guiding PhD and Master's theses on topics including unsupervised syntactic disambiguation for Turkish, statistical analysis of word roots and affixes, and information retrieval system design. His research has been supported by TÜBİTAK projects including the Design of a Statistics-Driven Selective Information Retrieval System (2015-2018) and the Design of a Statistical Information Access System (2011-2014).
Professor Şaban NAZLIOĞLU is a faculty member at Pamukkale University, Department of International Trade & Finance, Faculty of Economics and Administrative Sciences, Denizli-Turkey. He has been serving as a Professor since 2018, following previous roles as Associate Professor (2012-2018), Assistant Professor (2011-2012), and Research Associate (2010-2011) at the same institution. He has extensive experience in academic administration, having served as Chair of the Department of Econometrics (2011-2014, 2016-2018) and Coordinator of the Scientific Research Projects Unit (2016-2018). Dr. NAZLIOĞLU received his undergraduate education at Erciyes University, Faculty of Economics and Administrative Sciences, Department of Management (2002), followed by a Master's degree in Economic Policy (2006) and PhD in Economic Policy (2010), both from Erciyes University's Institute of Social Sciences. His research interests center on applied econometrics, panel data econometrics, agricultural economics, commodity prices, and international trade. He has developed innovative methodological approaches in panel stationarity testing with gradual structural shifts, contributing significantly to the field of econometrics. His work bridges theoretical econometric developments with practical applications in energy markets, agricultural economics, and international finance. Dr. NAZLIOĞLU's research has resulted in numerous publications in high-impact journals, with a focus on panel data methods, unit root testing, causality analysis, and their applications to energy, agricultural, and financial markets. His work demonstrates a consistent pattern of methodological innovation applied to substantive economic questions, particularly in emerging markets and international contexts. TÜBA (Turkish Academy of Sciences) "The Outstanding Young Scientists Award (GEBIP)-2015" TÜBİTAK (Scientific and Technological Research Council of Turkey) "Incentive Award-2015" Pamukkale University Social Sciences "Science Award-2016" Pamukkale University Social Sciences "Research Performance Award-2012" Dr. NAZLIOĞLU has supervised numerous graduate students and has been actively involved in research projects, including "A New Panel Unit Root Test with Gradual Structural Shifts" (TÜBİTAK-SOBAG 1001/Project No: 215K086) and "Are Commodity Price Shocks Temporary or Permanent? A New Perspective with Panel Unit Root Analysis" (TÜBA-GEBİP 2015). He has served as a referee for prestigious journals including Agricultural Economics, Economic Modelling, Energy Economics, and others. He is an active member of professional organizations such as the International Association for Applied Econometrics (IAAE), International Trade and Finance Association, and Society for the Study of Emerging Markets. He has developed the GAUSS TSPD Library for Time Series and Panel Data Methods, which is publicly available on GitHub. This library covers several unit root, co-integration & causality tests, demonstrating his commitment to sharing methodological tools with the broader research community.
Prof. Cenap Sancar is a faculty member at Karadeniz Technical University in the Faculty of Architecture, Department of Urban and Regional Planning . With a career spanning over 35 years, he has held academic positions ranging from Research Assistant (1990-2000) to Professor (2017-present). His work bridges urban planning , GIS applications , and regional development , with a focus on sustainability and social equity . Education : Doctorate (1993-2000), Postgraduate (1989-1993), Undergraduate (1985-1989) in Architecture from Karadeniz Technical University. Managerial Roles : Head of Department (2009-2019), Deputy Head of Department (2005-2009). His research interests include urban ecology , transportation planning , and heritage conservation , often integrating GIS and remote sensing . Recent publications explore affordable housing , campus mobility , and landslide risk mapping , reflecting interdisciplinary trends in urban studies and environmental engineering . Scientific awards include recognition from Istanbul Metropolitan Municipality (2007) and Trabzon Belediyesi (1996). He has supervised 11 theses and contributed to 19 projects, including TUBITAK-funded research on rural area typologies and data design.
Ersel Aydinli is a Professor in the Department of International Relations at Bilkent University. He previously taught at George Washington University and Middle East Technical University. His research focuses on international security, non-state actors, and Turkey’s foreign policy. He holds an MA from George Washington University, a PhD in Political Science from McGill University, and a post-doctorate from Harvard’s Kennedy School. Education: MA in International Relations, George Washington University PhD in Political Science, McGill University Post-doctorate, Harvard University’s Kennedy School Research Interests: Disciplinary sociology of International Relations Non-state actors in global security Turkey’s security and foreign policy evolution Peripheral theorizing and non-Western perspectives Publications Overview: Aydinli’s work bridges theoretical innovation with empirical analysis, particularly in non-state actorness frameworks, Turkish foreign policy dynamics, and transnational security governance. His books like Violent Non-State Actors and Widening the World of International Relations emphasize expanding disciplinary perspectives beyond Western-centric frameworks. His articles in journals like Journal of Peace Research and Foreign Affairs highlight transnational security challenges and methodological rigor. Editorial Role: He serves as Editor-in-Chief of All Azimuth: A Journal of Foreign Policy and Peace , furthering discourse on global security and diplomacy. Grants & Advising: No explicit grants or advisee information provided in texts. Focus remains on prolific publishing and editorial leadership.
Dr. İsmail Arı is an Assistant Professor in the Computer Science department at Özyeğin University . He holds a PhD from the University of California, Santa Cruz (2004), MS from University of Maryland (2000), and BS in Electrical & Electronics Engineering from Boğaziçi University (1998).
Selçuk Karabatı is a Professor of Operations Management at the College of Administrative Sciences and Economics, Koç University (Turkey). His research spans retail operations, sustainable supply chains, and production systems optimization. He holds a PhD from the University of Texas at Austin and has previously taught graduate courses in Service Operations Management , Operations Strategy , and Sustainable Operations Management at Koç University. Education : PhD (University of Texas at Austin), MS (University of Southern California), BS (Boğaziçi University) Editorial Roles : Senior/Associate Editor at Production and Operations Management and IIE Transactions His research focuses on Supply Chain Management , Retail Operations , and Sustainable Operations , with applications in inventory control, pricing strategies, and production planning. Recent and historical publications reveal expertise in optimization frameworks , dynamic pricing , portfolio rebalancing , and retail analytics . While no explicit scientific awards are listed in the provided text, his work has consistently addressed challenges in inventory substitution, auction mechanisms, and logistics coordination.
Prof. Dr. Nuri Dogan is a Professor at Hacettepe University, Faculty of Education, Department of Educational Sciences, where he serves as Head of the Department of Educational Sciences since 2021 and previously as Head of the Department of Measurement and Evaluation in Education since 2019. He earned his BA (1996), MA (1999), and PhD (2002) from Hacettepe University's Department of Educational Measurement and Evaluation. After working as a research assistant (1998-2002) and lecturer (2003-2010), he became an Associate Professor in 2011 and a full Professor in 2016. He conducted post-doctoral research at University of Massachusetts-AMHERST under Ronald K. Hambleton in 2014-2015 with a TÜBİTAK scholarship. His research focuses on educational measurement and evaluation, psychometrics, test development, classical test theory, item response theory, and computerized adaptive testing. He teaches courses on measurement and evaluation in education, test development, scaling techniques, classical test theory, psychological foundations of measurement, research techniques, computerized measurement applications, and various other topics related to educational assessment. His extensive body of work demonstrates strong expertise in educational assessment methodologies, with particular emphasis on the technical aspects of measurement and evaluation. Dogan's publication record shows a clear progression from foundational work in classical test theory to more sophisticated applications in computerized adaptive testing and multistage testing. His recent work (2023-2024) reveals a strong focus on practical applications of measurement theory in large-scale assessments like PISA, with increasing integration of data mining and machine learning approaches. His research spans both theoretical psychometrics and practical applications across various educational contexts. Scientific Awards: TÜBİTAK scientist support program (BİDEP) scholarship for post-doctoral research at University of Massachusetts-AMHERST Prof. Dogan has supervised 55 graduate students (28 master's and 27 PhD candidates) whose research spans educational measurement, psychometrics, test development, and various applications of assessment methodology. His research projects include significant work on computerized adaptive testing, multistage testing, measurement invariance, and large-scale international assessments like PISA. He has received multiple research grants from TÜBİTAK and other national and international funding bodies. Prof. Dogan also chairs the Board of Directors of the Association for Measurement and Evaluation in Education and Psychology (EPODDER) and has been actively involved in numerous national and international research projects related to educational assessment and measurement.
Prof. Dr. Mehmet GENÇTÜRK is a Professor at the Faculty of Economics and Administrative Sciences , Mehmet Akif Ersoy University , with a dual departmental affiliation in Business Administration and Accounting and Finance . His career spans over two decades, with extensive publications and thesis supervision. Education: License: Selçuk University, Business Administration (1993) Master’s: Süleyman Demirel University (1996) Doctorate: Süleyman Demirel University, Business Administration (2002) His research focuses on share structures, financing, accounting practices, and corporate value , with recent studies on pandemic impacts on financial decisions , machine learning in hospital finance , and digitalization in accounting . The 15 most recent articles reflect interdisciplinary work in health economics, organizational behavior, and Islamic finance . Supervised theses include: Demirtaş İbrahim (PhD, 2024) on working capital and firm performance Işık Zeynep (Master’s, 2024) on digitalization in accounting Acar Duygu (Master’s, 2024) on e-applications in accounting
Onur KARDEŞ serves as Assistant Professor in the Department of Computer Engineering at Beykent University's Faculty of Engineering and Architecture since 2020. His prior academic appointments include: Research Assistant, Department of Computer Science, Stevens Institute of Technology (2004-2008) Lecturer, Department of Mathematics and Computer Science, Faculty of Arts and Sciences, Beykent University (2000-2004) His research integrates data mining, privacy-preserving computation, and artificial intelligence with practical applications in educational technology and urban systems. Key contributions include developing privacy-enhancing protocols for distributed data mining and pioneering generative AI solutions for automated student assessment and digital teaching assistants. Analysis of his 2023-2025 publications reveals accelerating focus on generative AI implementations, particularly in educational evaluation (automated examination paper analysis) and urban planning (AI-driven smart city frameworks). This evolution demonstrates strategic adaptation to emerging technologies while maintaining core expertise in secure computation and data mining.
Meltem ACAR GÜVENDİR is an Associate Professor in the Department of Educational Sciences at Trakya University's Faculty of Education. She holds a PhD in Measurement and Evaluation in Education from Ankara University (2013) and has conducted postdoctoral research at the University of California, Los Angeles (UCLA). Her research focuses on large-scale educational assessment, including analyses of PISA, TIMSS, and OBBS datasets using hierarchical linear modeling. She specializes in value-added assessment, meta-analyses of study abroad impacts, and psychometric evaluation of educational policies. Academic roles include serving as Head of the Measurement and Evaluation Commission (since 2018) and Deputy Head of the Department of Educational Sciences (2016–2018). She co-edits the International Journal of Assessment Tools in Education and has contributed to over 60 peer-reviewed articles and book chapters. Her work explores student achievement predictors, test anxiety measurement, and international student integration. Key projects include a TÜBİTAK-funded study on scale development processes and participation in the EU-funded CA19103 initiative addressing LGBTI+ inequalities. She has supervised numerous research projects and delivered keynotes on educational measurement methodologies.
Enver Erdinç DİNÇSOY is an Associate Professor at Trakya University's Faculty of Applied Sciences. He holds a Doctoral Degree from Okayama University (2010) and a Master's Degree from the same institution (2004). His research focuses on regional development, spatial planning, and agricultural economics with specialization in Turkey and Japan. Education: PhD in Regional Development (Okayama University, 2010), MSc in Economics (Okayama University, 2004) Research interests include regional GDP disparities, sustainable development, agricultural land use, tourism inventory analysis, and econometric modeling of macroeconomic factors. He has published extensively on topics such as Japan-Turkey comparative studies, Thrace regional development, and agricultural production trends in Okayama Prefecture. His work analyzes spatial dimensions of economic growth, tourism impacts, and policy effectiveness in regional development projects. Recent publications (2018-2020) focus on inflation-economy relationships, Kosovo trade dynamics, and commercial banking strategies. Grants and advising details are not explicitly stated in provided texts. He has contributed to multiple international conferences and authored/co-authored books on regional development and banking sector analysis.
Ceyhun Burak Akgül is a Part-Time Lecturer specializing in Computer Vision, Machine Learning, and Statistical Data Analysis. His research focuses on interdisciplinary applications of visual data processing, including medical imaging and 3D object recognition. He maintains a personal website at cba-research.com and can be contacted at cb.akgul@gmail.com . His work spans topics such as image captioning, visual dictionaries, and symbolic feature detection. Key contributions include developing algorithms for action recognition using depth cameras and frameworks for leaf and object recognition. His research also integrates medical applications, such as analyzing Alzheimer’s patient movements and automated diagnosis using imaging data. Akgül’s publications frequently address challenges in 3D shape descriptors, feature selection, and interdisciplinary methodologies. His recent work includes exploring visual dictionaries and improving image processing techniques through model-driven approaches. His academic contributions are evident in journals like the Journal of Visual Communication and Image Representation, and he has participated in competitions like SHREC. Despite his extensive publication record, no formal awards or grants are explicitly mentioned in the provided data.
