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M. Tolga AkçuraView profile

Professor

• Marketing Strategy
• Brand Valuation
• Consumer Behavior
• +7 more

Professor Tolga Akçura is a distinguished faculty member at Özyeğin University's Faculty of Business, Department of Business Administration. With over 25 years of academic experience, he has developed and taught courses on marketing strategy, marketing analytics, and marketing research at prestigious institutions including Carnegie Mellon University, Purdue University, and Long Island University. At Özyeğin University, he teaches Marketing Strategy, Integrated Marketing Communication Strategies, Innovation, Business Model Development, and Advanced Topics in Marketing for undergraduate, graduate, and executive students. Professor Akçura holds a B.Sc. in Industrial Engineering from Boğaziçi University (1990), an MA in Business Administration from Boğaziçi University (1996), an MBA from Carnegie Mellon University (1998), and a Ph.D. in Quantitative Marketing from Carnegie Mellon University (2000). Before joining academia, he worked for Procter & Gamble across multiple European locations including Brussels, London, Manchester, and Istanbul. His research focuses on the intersection of Information Technology and Marketing, Brand Valuation, Consumer Learning Behavior, Structural Choice Models, Brand Equity dynamics, and Competitive Pricing Strategies. Professor Akçura has made significant contributions to marketing science through his extensive publication record in top-tier journals. His recent scholarly work demonstrates a strong trend toward digital marketing, AI applications in marketing analytics, healthcare marketing, and the strategic implications of data-driven decision making. His publications span from foundational work on brand equity to cutting-edge research on patient-generated health data and deep learning applications in campaign participation prediction. William W. Cooper Award (awarded twice for publications in Management Science and Marketing Science) Professor Akçura has successfully bridged academic research with practical business applications through his role as founder of eBrandValue A.Ş. and as a Y-Combinator alum (YCW15). He is an active member of professional organizations including the Institute for Operations Research and Management Science, American Marketing Association, and Direct Marketing Institute. His industry experience complements his academic work, providing students with valuable real-world insights into marketing strategy and implementation.

Özlem İlk DağView profile

Professor

• Longitudinal Data Analysis
• Multilevel Modeling
• Interactive Graphics
• +5 more

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.

Veysel GümüşView profile

Associate Professor

• Turbulence modeling
• Computational Fluid Dynamics
• Hydrological and meteorological drought
• +3 more

Dr. Veysel Gümüş is an Associate Professor at Harran University's Faculty of Engineering, Department of Civil Engineering, where he has been since 2014. His research focuses on turbulence modeling, computational fluid dynamics, hydrological drought analysis, and time-series trend analysis. Licence (2003), Master's (2006), and Doctorate (2014) in Civil Engineering from Harran and Çukurova Universities. His research interests span hydrological drought , computational fluid dynamics , climate trend analysis , and GIS applications in hydrology . His recent work emphasizes drought risk assessment, wind speed trends, and fluid flow simulations using AI techniques. Publications since 2023 highlight his expertise in Mann-Kendall tests , copula-based drought analysis , and CMIP6 climate projections across Turkey and Morocco. He has supervised over 15 graduate theses and served as an editor/hakem for 10+ journals, including ASCE and Theoretical and Applied Climatology.

• Biostatistics
• Statistical Analysis
• Applied Statistics
• +5 more

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.

Zeynep Işıl KalaylıoğluView profile

Professor

• Bayesian Statistics
• Environmental Statistics
• Health Statistics
• +3 more

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.

• Limnology
• Hydrography
• Ecology
• +5 more

Prof. Dr. Ekrem MUTLU serves as a full-time Professor in the Department of Geography at Kastamonu University's Faculty of Humanities and Social Sciences since 2025, following his promotion from Associate Professor (2023-2025). Previously, he held academic positions at the Faculty of Fisheries (2013-2023), including roles as Assistant Professor and Department Chair. His extensive academic service includes membership in University Senate (2020-2022), Faculty Administrative Board, and leadership of the Social Responsibility Unit. Dr. MUTLU earned his PhD in Fisheries Engineering from Atatürk University (2013), Master's in Aquaculture from Mustafa Kemal University (2004), and BSc in Fisheries from Ondokuz Mayıs University (1999). His research focuses on limnology, hydrography, and ecology with particular emphasis on freshwater systems, water quality assessment, heavy metal pollution, and environmental toxicology across Anatolia's river basins and reservoirs. His scholarly output demonstrates significant expertise in water quality assessment methodologies, particularly through Water Quality Index applications and multivariate statistical analyses. Recent publications reveal strong emphasis on Black Sea basin hydrology, dam/reservoir ecosystems, and health risk assessments related to heavy metal contamination in freshwater systems. His work bridges environmental science with practical applications for sustainable water resource management. 2024 B-field highest publication award recipient at Kastamonu University TÜBİTAK International Scientific Publications Incentive Award (2004) Multiple ministry acknowledgments from Orman ve Su İşleri Bakanlığı (2015-2016) Consistent university commendations since 2013 As an active thesis supervisor, he has guided 15 graduate students (2017-2025) across sustainable agriculture, fisheries engineering, and environmental science disciplines. His leadership extends to directing 24 research projects funded by national institutions, including comprehensive water quality assessments of Çavuşköy Deresi, Sevindik Göleti, and Kirazlıköprü Barajı. He also commands the Aras Research and Application Vessel and oversees the Water and Wastewater Analysis Laboratory. Dr. MUTLU maintains active research collaborations with institutions including Trakya University, Eskişehir Osmangazi University, and Giresun University, with his work contributing significantly to regional water resource management strategies in northern Turkey.

• Operations Research
• Multiple Criteria Decision Making
• Data Envelopment Analysis
• +1 more

Dr. Muhammed Maruf is an Assistant Professor at the Faculty of Economics and Administrative Sciences , Kırşehir Ahi Evran University since 2019, with prior roles at Şırnak University (2017-2019) and Dokuz Eylül University (2011-2017). He holds a PhD in Business Administration (2013-2017) and an MSc in Management Science (2011-2013) from Dokuz Eylül University, and a BSc in Business Administration (2002-2005) from Erciyes University. Licenses : YÖKDİL (2017, 82), ÜDS (2011, 71) Administrative Roles : Research Application Center Director (2019-), Deputy Department Head (2019-), Head of Department (2018-), Dean Assistant (2018-), Faculty Council Member (2017-) His research focuses on Operations Research and Multiple Criteria Decision Making , applying advanced methods like CRITIC , MAIRCA , DEA , and Fuzzy Logic to analyze performance in municipal governance, tourism websites, banking transformation, and political participation. Collaborative work spans 13 co-authors, notably with Kadir Özdemir (6 publications) and Bekir Gündoğmuş (5 publications). Key Trends : 15+ journal articles (2021-2025), 4 books, 4 book chapters Methodological Expertise : CRITIC-MAIRCA integration, Fuzzy DEA, Grey System Theory Project Leadership : 2 projects (2020-2021, 2022-2024), 2 as co-researcher Academic Impact : Google Scholar h-index 8 (157 citations), YÖKSİS h-index 6 (365 total points). His 43+ total publications include 28 journal articles and 9 conference proceedings.

• Geophysical Engineering
• Applied Geophysics
• Electro Magnetic and Electrical Methods
• +11 more

Özgür Aktürk is an Assistant Professor in the Department of Geological Engineering at Akdeniz University, Faculty of Engineering, where he has been serving since 2011. His academic journey began at Ankara University, continued with a master's and doctorate at Middle East Technical University, and includes research experience at the University of Tennessee. He is actively involved in teaching and research in geotechnical and geophysical engineering, with strong industry collaboration through his R&D company. Doctorate: Middle East Technical University, 2010 Undergraduate: Ankara University, 2001 His research interests span Applied Geophysics , Engineering Geology , Electrical Resistivity Imaging , Soil and Rock Mechanics , Seismic Hazard Assessment , and Numerical Modeling . He applies these to practical problems such as tunnel stability, dam safety, karst investigations, and urban infrastructure. His work integrates field geophysics with computational models to assess geotechnical risks. The recent articles reflect a consistent focus on geophysical subsurface characterization, particularly using electrical resistivity methods, and geotechnical stability analysis. Key themes include urban geophysics for subway systems , karst cavity detection , soil liquefaction , and statistical analysis of geological materials . His collaborations with researchers like V. Doyuran, K. Kayabalı, and F. Uçar highlight interdisciplinary and applied research trends. He has supervised multiple master's students on topics related to tunnel deformation, landslide hazards, and geophysical site assessment. Although no formal scientific awards are listed, his extensive publication record and participation in funded projects indicate active research engagement. He is a member of the Engineering Geology Association and the Chamber of Geological Engineers, and has served on thesis juries. Özgür Aktürk has founded JeoTasarım Proje ve Mühendislik under Akdeniz University TEKNOKENT, demonstrating a commitment to applied research and technology transfer. His work bridges academic research and practical engineering solutions, particularly in water resources and geohazard mitigation projects.

• High-Energy Physics
• Particle Physics
• Proton-Proton Collisions
• +5 more

Muammer Altan Çakır is a Professor in the Department of Physics Engineering at Istanbul Technical University, actively engaged in high-energy physics research with significant contributions to the CMS Collaboration at CERN. His work focuses on proton-proton collisions, Higgs boson physics, and top quark studies using Large Hadron Collider data. His research interests span experimental particle physics with emphasis on proton-proton collisions , Higgs boson characterization , lepton physics , and transverse momentum analysis . Recent work explores charm baryon production, Drell-Yan processes, and muon identification techniques using advanced multivariate methods in the CMS detector. Analysis of his 15 most recent publications reveals a strong focus on precision measurements in high-energy collisions, particularly in Higgs physics (3 publications), top quark physics (2), and detector optimization (2). His work consistently addresses fundamental questions in the Standard Model through advanced statistical techniques and large-scale data analysis. Doktora sonrası araştırma bursu (2010) Landes Baden Württenberg Doktorarbeit Stipendium (2006) LPC Fall Guest Visitor Faculty (2017) Multiple Performans ödülü awards (2012, 2013, 2015) Professor Çakır has supervised 15 students and leads multiple research projects including GPU-based distributed computing platforms for big data processing, real-time predictive maintenance systems, and deep learning applications for top quark spin correlation studies. His current projects integrate generative AI with domain-specific physics research while developing scalable open-source big data architectures for industrial applications. His laboratory work centers on CMS detector data analysis, with recent focus on online data visualization tools and multivariate techniques for particle identification. Current projects explore GPU-accelerated computing frameworks and generative AI applications for physics-informed design systems.

Barbaros YetView profile

Associate Professor

• Decision-Making Under Uncertainty
• Bayesian Approaches
• Causal and Probabilistic Graphical Models
• +5 more

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 IslamView profile

Professor

• Statistical Inference
• Robust Statistical Methods
• Nonparametric Methods
• +4 more

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.

• Multidimensional Scaling
• Nonlinear Optimization
• Multivariate Analyses
• +3 more

Ulaş Akküçük is a faculty member at Boğaziçi University with the academic rank of Associate Professor . His teaching areas include Linear Programming, Probability and Statistics, Multivariate Analysis, Marketing Research, and Production and Operations Management . His research focuses on Multidimensional Scaling (MDS), Nonlinear Optimization, Clustering, Network Models Applied to Marketing, and Green Supply Chain Management .

• Destination Marketing
• Consumer Behavior in Tourism
• Tourism Management
• +7 more

Ahmet UŞAKLI is an Associate Professor in the Department of Tourism Administration at Boğaziçi University, Faculty of Economics and Administrative Sciences. He holds a Ph.D. in Tourism Management from Gazi University (2016), supported by a TÜBİTAK scholarship, an M.S. in Hotel Administration from the University of Nevada, Las Vegas (2009) under the Fulbright Scholarship, and a B.S. in Tourism Management Education from Gazi University (2005). Research Interests: His research spans destination marketing, consumer behavior in tourism, and methodological aspects of hospitality and tourism research. He has a particular focus on brand equity, service quality, AI in hospitality, and the use of advanced statistical methods like PLS-SEM. Publication Trends: His recent publications (2022–2025) emphasize wine tourism, gender differences in service perception, AI adoption in restaurants, and methodological rigor in structural modeling. These works appear in high-impact journals such as Tourism Management , Journal of Destination Marketing & Management , and International Journal of Contemporary Hospitality Management . Ph.D. Scholarship Program of TÜBİTAK U.S. Department of State’s Fulbright Scholarship Program Advising and Teaching: He teaches research methods and multivariate data analysis at the PhD level, marketing research at the master's level, and various tourism management courses at the undergraduate level. He actively mentors students and uses structured tools like Calendly for academic advising. Labs and Teams: While no formal lab is mentioned, he collaborates internationally with scholars in Greece, China, and the U.S., particularly in wine tourism and methodological research. He contributes to special issues and edited volumes on cutting-edge topics in hospitality research.

• Statistics
• Econometrics
• Panel Data Analysis
• +5 more

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.

• Biometrics
• Genetics
• Animal Science
• +3 more

Assoc. Prof. Dr. Serdar GENÇ is a faculty member at Ahi Evran University, Faculty of Agriculture, Department of Agricultural Biotechnology since 2015. He holds a PhD and Master's in Animal Science from Namık Kemal University and a Bachelor's in Animal Production from Ankara University. His career spans roles such as Department Vice Head and Bologna Coordinator. PhD : Animal Science, Namık Kemal University (2014) MSc : Animal Science, Namık Kemal University (2010) BSc : Animal Production, Ankara University (2006) GENÇ's research focuses on biometrics, genetics, and statistical modeling in livestock , particularly Holstein cattle, Simmental cattle, and Anatolian buffalo. He explores genetic parameter estimation, lactation curve analysis, and environmental impacts on dairy productivity. His most recent work includes comparisons of statistical models for milk yield prediction, genetic characterization of donkey populations, and applications of automatic linear modeling in agricultural data. He has led projects on genomic selection, DNA banking for local breeds, and socio-economic studies of regional agricultural products. Notable awards include the TÜBİTAK Publication Encouragement Award (2018, 2009) . He has advised over 5 Master's theses on topics like milk yield in Simmental cattle and morphometric studies in donkeys. GENÇ is actively involved in academic conferences, editorial boards, and projects related to animal genetic resource conservation , with a strong focus on data-driven approaches to livestock improvement.