جست‌وجوی استاد و پژوهشگر

Özlem İlk Dağمشاهده پروفایل

استاد

• Longitudinal Data Analysis
• Multilevel Modeling
• Interactive Graphics
• +۵ مورد دیگر

Prof. Dr. Özlem İlk Dağ is a Professor of Statistics at the Middle East Technical University (METU), Ankara, Turkey. She holds the position of Department Head of Statistics and serves on advisory boards for TUBITAK and the Journal of Biostatistics. Her academic journey includes roles from Research Assistant (1997) to Professor (2018), with affiliations in Actuarial Sciences and Biostatistics. Education: Ph.D. in Statistics (Iowa State University, 2004), M.S. and B.S. from METU. Research focuses on longitudinal data analysis, multilevel modeling, Bayesian methods, and biostatistics. She authored three editions of R Yazilimina Giris and a foundational book on multivariate longitudinal data analysis. Key contributions include developing marginalized transition random effects models (MTREM) and R packages like 'mmm'. Awards include METU's 20-year service recognition and teaching excellence. She has supervised numerous research projects and co-authored over 50 peer-reviewed articles across biostatistics, genomics, and statistical computing. Her work bridges statistical theory and application, with notable contributions to gene expression clustering, maternal antibody studies in veterinary science, and computational methods for longitudinal data. She maintains active collaborations in genomics and biostatistics, and her lab focuses on integrating statistical computing with biomedical research.

Sinan Yıldırımمشاهده پروفایل

پژوهشگر

• Bayesian Statistics
• Monte Carlo Methods
• Data Privacy
• +۳ مورد دیگر

Sinan Yıldırım is a Researcher in the Faculty of Engineering and Natural Sciences at Sabancı University, Turkey. His primary research focuses on Bayesian Statistics, Monte Carlo methods, and data privacy, with interdisciplinary applications in machine learning and signal processing. He holds a BSc and MSc in Electrical and Electronics Engineering from Boğaziçi University, followed by a PhD in Mathematical Statistics from the University of Cambridge. Postdoctoral research (2013-2015) at the University of Bristol’s School of Mathematics involved the EPSRC-funded project 'Intractable Likelihood: New Challenges from Modern Applications (i-like).' His work bridges theoretical statistics with practical problems in privacy, control systems, and energy optimization. Research interests emphasize Bayesian methodologies for privacy-preserving data analysis, dynamic modeling of complex systems, and stochastic optimization algorithms. Recent publications explore differential privacy in machine learning, Monte Carlo techniques for high-dimensional inference, and applications of Bayesian methods in robotics and energy systems. Advising and grants include contributions to multi-party resource sharing frameworks and privacy-aware algorithms. His work integrates computational methods with real-world challenges in engineering and policy modeling.

Berna Kılınçمشاهده پروفایل

استاد

• History and Philosophy of Probability Theory
• Kant’s Theoretical Philosophy
• Statistical Reasoning
• +۵ مورد دیگر

Prof. Berna Kılınç is a faculty member in the Department of Philosophy at Boğaziçi University, Faculty of Letters. She holds a Ph.D. from the University of Chicago and serves as Department Chair and Fourth Year Advisor. Her academic work spans philosophy of science, logic, epistemology, and the history of science, with a particular focus on probability theory and Kantian philosophy. Ph.D., University of Chicago, USA Her research interests include the history and philosophy of probability, Kant’s theoretical philosophy, statistical reasoning, and informal logic. She explores foundational questions in scientific reasoning, objectivity, and the evolution of logical thought, often bridging historical analysis with contemporary philosophical debates. The recent publications of Prof. Kılınç reflect a sustained engagement with logic, epistemology, and the philosophy of science. Her work spans from Kantian metaphysics to feminist epistemology and statistical methodology, demonstrating a broad yet coherent trajectory centered on the nature of scientific and logical reasoning. She frequently publishes on Ottoman science, the philosophy of chance, and meta-theoretical issues in research synthesis. No scientific awards were mentioned in the provided text. Prof. Kılınç has editorial and translation experience, having co-edited volumes of the World Congress of Philosophy and several issues of Felsefe Tartışmaları . She has translated philosophical texts into Turkish, contributing to the dissemination of analytic philosophy in Turkey. While specific grant information is not provided, her publications in international journals and edited volumes suggest active research engagement. She advises senior students as the Fourth Year Advisor, indicating a role in academic mentoring. There is no mention of specific labs or research teams in the provided information.

• Data Mining
• Privacy-Preserving Computation
• Artificial Intelligence
• +۳ مورد دیگر

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.

• Financial Engineering
• Economics
• Econometrics
• +۳ مورد دیگر

Professor Nesrin Okay holds a Ph.D. in Economics from The City University of New York and is affiliated with Bogazici University. Her research focuses on Financial Engineering, Economics, Econometrics, and Statistical Analysis of Financial Markets, with particular emphasis on Stock Market Modeling and Forecasting, and Time Series Analysis. Education: Ph.D. in Economics, The City University of New York Her research interests include advanced econometric methodologies applied to financial markets, particularly in the context of emerging markets like Turkey. She explores topics such as volatility modeling, liquidity risk analysis, and the impact of renewable energy on economic indicators. Her work also examines structural breaks in economic data and policy uncertainties affecting financial systems. Publications span over two decades, with recent works addressing renewable energy’s role in current account dynamics and the Turkish banking system’s stability. Earlier research includes volatility modeling in financial markets and empirical analyses of liquidity risks on the Istanbul Stock Exchange. No scientific awards are listed. Advising and grants details are not provided in the text. No specific labs or teams are mentioned.

Zeynep Işıl Kalaylıoğluمشاهده پروفایل

استاد

• Bayesian Statistics
• Environmental Statistics
• Health Statistics
• +۳ مورد دیگر

Prof. Zeynep Işıl Kalaylıoğlu is a Professor of Statistics at the Department of Statistics, Middle East Technical University (METU), Ankara, within the Faculty of Arts and Sciences. She holds a Ph.D. in Statistics from North Carolina State University (2002) and has held roles including Associate Professor (2014–2022), Assistant Professor (2009–2014), and researcher at the National Cancer Institute (2002–2007). She has served in administrative roles such as Assistant to the Department Head and member of METU’s Wind Energy Research Center and Faculty Board. Ph.D.: Statistics, North Carolina State University, 2002 M.S.: Statistics with Computational Engineering minor, North Carolina State University, 1999 B.S.: Statistics with Computer Engineering minor, Middle East Technical University, 1995 Her research focuses on Bayesian statistical methodologies for environmental and health phenomena. Key areas include spatial/temporal modeling of atmospheric and ecological variables, prediction of migratory patterns (e.g., wind direction, bird movements), and risk modeling for breast cancer using mammogram data. She develops flexible models for circular and extremal data, emphasizing applications in ecology, epidemiology, and environmental science. Her recent publications address topics like goodness-of-fit tests for statistical distributions, predictive model selection for circular data, and Bayesian approaches for missing covariates in generalized linear models. Current projects include mobile apps for olive harvest optimization and frost预警 systems, reflecting her commitment to applied statistical solutions. Labs/Teams: She leads the BayeZian Research Group, collaborating with METU’s Ecosystem Research Center on interdisciplinary projects. Her teaching expertise spans mathematical statistics, Bayesian theory, and statistical inference at undergraduate and graduate levels.

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.

Barbaros Yetمشاهده پروفایل

دانشیار

• Decision-Making Under Uncertainty
• Bayesian Approaches
• Causal and Probabilistic Graphical Models
• +۵ مورد دیگر

Barbaros Yet is an Associate Professor in the Department of Cognitive Science at the Graduate School of Informatics, Middle East Technical University in Ankara, Turkey. His research focuses on decision-making under uncertainty, integrating human judgment, published evidence, and uncertain data into Bayesian approaches and probabilistic graphical models. Applications span healthcare (clinical decision support, trauma care modeling), agriculture (climate resilience policy), and operational systems (fleet reliability prediction). Research interests include Bayesian networks, causal reasoning, knowledge representation, and decision support systems. He has developed tools for shared clinical decision-making, trauma outcome prediction, and agricultural policy prioritization. His work emphasizes interpretable models that align with expert reasoning processes. Notable contributions include Bayesian network-based frameworks for spinal pathology assessment, aircraft reliability modeling, and trauma care prediction systems. His articles frequently bridge theoretical probabilistic modeling with practical applications in medicine and engineering. Active in interdisciplinary collaborations, he contributes to global health initiatives like the UKRI Action Against Stunting Hub. Professional links include ORCID (0000-0003-4058-2677), ResearchGate (https://www.researchgate.net/profile/Barbaros-Yet), and a Twitter presence (@barbarosyet). Contact via byet@metu.edu.tr.

Mohammad Qamarul Islamمشاهده پروفایل

استاد

• Statistical Inference
• Robust Statistical Methods
• Nonparametric Methods
• +۴ مورد دیگر

Prof. Mohammad Qamarul Islam is a Professor in the Statistics Department at Middle East Technical University (METU), Turkey, a position held since 2016. Previously, he served as Professor (2010-2016), Associate Professor (2005-2010), and Assistant Professor (1999-2005) in the Economics Department at Cankaya University. His academic career spans over four decades with prior appointments at METU (1983-1999) and Pakistani institutions including Gomal University and Karachi University. Education: Ph.D. in Statistics (1989), Middle East Technical University, Turkey M.Sc. in Statistics (1972), University of Karachi, Pakistan Research Focus: Prof. Islam specializes in advanced statistical methodologies with emphasis on Statistical Inference and Robust Methods . His work bridges theoretical statistics and practical applications through Nonparametric Techniques , Multivariate Analysis , and Econometric Modeling . Current investigations focus on regression under non-standard error distributions and experimental design optimization, contributing significantly to statistical theory validation in real-world scenarios. Publication Trends: His 2012-2016 publications reveal concentrated expertise in multivariate regression under non-ideal conditions (non-normal/elliptical errors), demonstrating methodological innovations for robust parameter estimation. Recent work extends to model uncertainty quantification in time series, reflecting his evolving focus on practical statistical challenges in economic and scientific data analysis. Academic Service: Information regarding student advising, research grants, laboratory affiliations, or scientific awards is not documented in the provided materials.

Sıdıka Melek Başakمشاهده پروفایل

استاد

• Industrial Engineering
• Optimization
• Fuzzy Logic
• +۳ مورد دیگر

Prof. Dr. Sıdıka Melek Başak is a faculty member at Yeditepe University , affiliated with the Faculty of Engineering and Department of Industrial and Systems Engineering . Her primary research areas include Industrial Engineering , Fuzzy Logic , and Stochastic Processes . Education: PhD in Econometrics (1987-1990), Marmara University MS in Mathematics (1978-1980), Hacettepe University BSc in Mathematics (1972-1978), Middle East Technical University Her research integrates Fuzzy Logic with optimization techniques for environmental site characterization, human mortality modeling, and migration analysis. She has developed geometric partitioning metaheuristics and fuzzy areal assessment frameworks to address complex optimization problems. Notable trends in her publications include fuzzy-based modeling for environmental systems, stochastic optimization methods, and hybrid Bayesian-fuzzy approaches for forecasting international migration patterns. Her work spans interdisciplinary applications in engineering , demographics , and public policy . Grants & Projects: Economic Costs of Violence against Young Children in Turkey (Principal Investigator, completed 2012) PURE Protection Groundwater Resources (Principal Investigator, EU-funded, completed 1999)

• Statistics
• Econometrics
• Panel Data Analysis
• +۵ مورد دیگر

Assoc. Prof. Elif Tuna serves in the Department of Statistics at Yildiz Technical University's Faculty of Arts & Science, where she advanced from Research Assistant (2002) to Assistant Professor (2012) before promotion to Associate Professor. Her doctoral training in Econometrics at Marmara University established her interdisciplinary approach bridging statistical theory and socioeconomic applications. Her educational qualifications include: Doctorate in Econometrics, Marmara University (2005-2010) Postgraduate in Statistics, Yildiz Technical University (2002-2005) Undergraduate in Econometrics, Istanbul University (1997-2001) Tuna's research centers on entropy-based statistical methodologies, panel data modeling, and nonlinear econometric analysis. She pioneers applications in environmental economics (Environmental Kuznets Curve validation), happiness economics during crises, and market concentration metrics. Her work consistently integrates information theory with real-world socioeconomic phenomena, particularly migration patterns and pandemic impacts. Recent publications (2021-2024) reveal intensified focus on dynamic modeling of pandemic effects using Markov switching frameworks, while maintaining her foundational work on entropy applications. She demonstrates methodological versatility across time series, panel data, and categorical analysis, with geographic emphasis on Turkish socioeconomic contexts. Scientific Awards: No awards documented in source materials She has supervised 2 graduate theses and contributed to two major funded projects: a 2014-2016 basin-level water resource study and a 2005-2007 nationwide evaluation of Turkish statistics education. Her collaborative work often involves cross-disciplinary teams from economics and environmental science departments. No dedicated laboratory facilities or permanent research teams are specified, though her project involvement suggests participation in university-wide research consortia.

Burak Galip Aslanمشاهده پروفایل

مدرس

• Decision-support systems
• Expert systems
• Forecasting
• +۷ مورد دیگر

Burak Galip Aslan is a Lecturer in the Computer Engineering Department at Izmir Institute of Technology (IZTECH). He has been affiliated with the institution since 2000. His academic journey includes a B.Sc. in Electrical and Electronics Engineering from Dokuz Eylul University (2000), an M.Sc. in Computer Software from IZTECH (2003), and a Ph.D. in Computer Engineering from Ege University (2010). Education: B.Sc. Electrical and Electronics Engineering, Dokuz Eylul University (2000) M.Sc. Computer Software, Izmir Institute of Technology (2003) Ph.D. Computer Engineering, Ege University (2010) Research Interests: His work focuses on educational technology, adaptive learning systems, and computational methods in education. Key areas include decision-support systems, Bayesian modeling for academic achievement, cloud-based e-learning architectures, and learning style analysis through behavioral data. He also explores hands-on educational approaches in computer hardware instruction for secondary students. Courses Taught: Core courses include Logic Design (CENG 214), Microprocessors (CENG 384), Probability and Statistics (CENG 222), Professional Ethics in Computer Engineering (CENG 411), and Research Methodology (CENG 518). His teaching integrates laboratory work involving digital circuits, microcontroller programming, and ethical considerations in technology. Publications: His research highlights include studies on Bayesian techniques in language education, cloud deployment for e-learning systems, and learning style validation frameworks. Recent work emphasizes practical educational tools like hardware teaching modules for high school students. Laboratory Contributions: Develops hands-on experiments in digital systems design, including BCD-to-7-segment displays, combinational circuits, and microcontroller-based projects. These labs emphasize troubleshooting, ADC interfacing, and embedded systems development.

Orhan Deniz GENÇAĞAمشاهده پروفایل

استادیار

• Signal and Image Processing
• Machine Learning
• Knowledge Discovery and Data Mining
• +۹ مورد دیگر

Orhan Deniz GENÇAĞA is an Assistant Professor in the Department of Electrical and Electronic Engineering at Antalya Bilim University since 2017. Prior to this, he held postdoctoral and research associate roles at SUNY Albany (2007), National Oceanic and Atmospheric Administration (NOAA) Center of CUNY (2009–2011), University of Texas Department of Space Sciences, and Carnegie Mellon University. His academic career spans interdisciplinary projects in signal processing, statistics, and systems modeling. Education: Ph.D. in Electrical and Electronic Engineering from Boğaziçi University M.S. in Electrical and Electronic Engineering from Boğaziçi University B.S. in Electrical and Electronic Engineering from Yıldız Teknik University Research Interests: GENÇAĞA’s work focuses on statistical signal processing, Bayesian inference, uncertainty modeling, causality, chaos theory, and remote sensing. His expertise extends to heavy-tailed processes, acoustic echo cancellation, source separation, and system identification, with applications in machine learning, information theory, and speech processing. Professional Roles and Affiliations: He chaired the IEEE Pittsburgh Signal Processing and Control Systems Societies, served as general chair for the First ECEA, and organized MaxEnt 2007. Additionally, he is a member of the editorial board of Entropy and an inventor in two US patents. Scientific Awards: NATO Research Fellowship

• Paleoclimatology
• Climate Change
• Statistical Geology
• +۴ مورد دیگر

Zeki Bora Ön serves as faculty at Muğla Sıtkı Koçman University within the Faculty of Engineering, Department of Electrical and Electronics Engineering, specializing in Circuits and Systems. His academic profile uniquely bridges engineering disciplines with earth sciences through advanced statistical analysis of paleoclimate data. Education: Bachelor's Degree: Boğaziçi University - Faculty of Science and Literature - Mathematics Department (1996-2009) Master's Degree: Muğla Sıtkı Koçman University - Institute of Natural Sciences - Geological Engineering (2012-2013) Doctorate: Istanbul Technical University - Eurasia Institute of Earth Sciences - Earth System Science (2013-2018) Dr. Ön's research centers on paleoclimatology with specialization in Bayesian statistical methods applied to geological data. His primary focus involves reconstructing past climate conditions in Anatolia and the Eastern Mediterranean using sediment records from lakes including Acıgöl, Gölcük, and Hazar. He has pioneered innovative analytical frameworks, particularly Bayesian change point analysis, to examine significant climatic events such as the 4.2 ka BP event and the Holocene-Anthropocene boundary. His interdisciplinary methodology combines geological evidence with advanced statistical techniques to establish precise chronologies of environmental changes across multiple temporal scales. His publication pattern reveals a clear progression toward increasingly sophisticated statistical modeling of paleoclimate data, with recent work emphasizing Bayesian hierarchical regression approaches. His research spans from the last millennium to multi-million year records, providing critical insights into both historical climate variability and long-term climate patterns across Southwest Asia. Scientific Recognition: Best Thesis Award (2019) Dr. Ön has participated in numerous research initiatives including TÜBİTAK 1002 projects on Quaternary climate changes in Southwest Anatolia, paleohydrology of the Sakarya River, and high-resolution climate records from Lake Gölcük. His scholarly contributions extend to peer review services for leading journals including Journal of Quaternary Science and Quaternary Science Reviews, demonstrating his standing within the international paleoclimate research community. His academic work operates within Muğla Sıtkı Koçman University's geological research infrastructure while maintaining extensive international collaborations. His findings significantly contribute to understanding regional climate dynamics in Anatolia and their connections to global climate systems throughout the Quaternary period.

• Paleoclimatology
• Quaternary Geology
• Environmental Changes
• +۵ مورد دیگر

Sena Akçer Ön is an Associate Professor in the Department of Geological Engineering at Muğla Sıtkı Koçman University's Faculty of Engineering. With extensive expertise in paleoclimatology and Quaternary geology, she has established herself as a leading researcher in environmental change studies through lake sediment analysis across Anatolia. Her educational background includes a Bachelor's Degree (1997-2001), Master's Degree (2001-2003), and Doctorate (2003-2011), all from Istanbul Technical University in Geological Engineering and Earth System Science, with additional research at Universität Bern in 2012. Dr. Akçer Ön's research focuses on paleoclimatology, Quaternary geology, and environmental changes, with particular emphasis on lake sediment analysis across Anatolia. Her work spans from the high-altitude Lake Gölcük to Lake Hazar in Eastern Anatolia and the unique stromatolite-forming Lake Salda. She employs advanced methodologies including Bayesian statistics, XRF core scanning, and multi-proxy analyses to reconstruct climate history over timescales ranging from the last millennium to the past 485,000 years. Her research has significant implications for understanding climate-society interactions throughout history. Analysis of her most recent publications reveals a consistent focus on high-resolution climate reconstruction using Anatolian lake sediments. Her work demonstrates sophisticated integration of statistical methods with geological data, particularly evident in her Bayesian approaches to climate reconstruction. The geographic scope of her research covers key locations across Turkey including Lake Acıgöl, Lake Salda, Lake Gölcük, and Lake Hazar, providing a comprehensive picture of regional climate variability. Dr. Akçer Ön has served as thesis advisor for multiple graduate students including ILIYA BAUCHI-DANLADI (2021) and Rana Salihoğlu. She has been involved in several significant research projects including 'Ancient and Future Forests' (2021-2023) as Principal Investigator, as well as European Union projects such as HYPOX (2009-2012), ESONET (2008-2011), and EMCOL (2005-2008). Her TÜBİTAK project 'Quaternary Period Paleoclimate of Southwest Anatolia' (2014-2017) further demonstrates her leadership in the field. Her work extends to international collaborations and she has served on editorial boards for journals including Biogeosciences (2019), Arabian Journal for Science and Engineering (2017), and Quaternary International (2017). Dr. Akçer Ön's research contributes significantly to our understanding of regional climate dynamics and their societal implications throughout history.