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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.

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

Nezir KÖSE is a Professor and currently serves as the Dean of the Faculty of Economics and Administrative Sciences at Beykent University. He has previously held academic positions at Istanbul Gelişim University and Gazi University, where he advanced from Research Assistant to full Professor. His academic career spans over three decades, with continuous contributions in teaching, research, and administrative leadership. Beykent University – Faculty of Economics and Administrative Sciences (2020–Present) Istanbul Gelişim University – Faculty of Economics, Administrative and Social Sciences (2017–2020) Gazi University – Faculty of Economics and Administrative Sciences (1990–2017) Education: Doctorate, Institute of Social Sciences, Gazi University (1992–1998) Degree, Faculty of Economics and Administrative Sciences, Gazi University (1990–1992) Licence, Faculty of Science, Gazi University (1985–1989) His primary research interests include Econometrics , Macroeconomics , Financial Economics , Time Series Analysis , and Energy and Environmental Economics . He has made significant contributions to the analysis of inflation, exchange rate volatility, foreign direct investment, oil price impacts, and financial stability, with a regional focus on Turkey and emerging markets. His recent publications (2023–2025) reflect a dynamic research agenda involving cryptocurrency markets , climate change economics , machine learning applications , and nonlinear macroeconomic modeling . His work frequently employs advanced econometric techniques such as panel data analysis, VAR/SVAR models, GARCH models, and time-varying parameter estimation. Scientific Awards: No awards mentioned in the provided text. Nezir KÖSE has supervised numerous graduate students, including PhD candidates who have completed theses on topics such as foreign direct investment, financial stability, oil price effects, and inflation uncertainty. He has also contributed to academic grants and collaborative research projects, particularly in energy and financial economics. He teaches core courses including Econometrics I & II , Time Series Analysis , and Nonparametric Statistics , demonstrating a strong commitment to pedagogy. He has authored several textbooks in econometrics and statistics, enhancing educational resources in Turkish academia. There is no indication of lab or team leadership, but his collaborative publications suggest active participation in research groups.

• Econometrics
• Macroeconomics
• Financial Economics
• +7 more

Prof. Sadettin Emre Alptekin is a full Professor of Industrial Engineering at Galatasaray University, Faculty of Engineering and Technology, where he also serves as Vice Dean. Since joining the university as a research assistant in 2000, he has steadily advanced through the academic ranks, becoming an Assistant Professor (2006–2010), Associate Professor (2010–2023), and finally Professor in 2023. Education: PhD (Dr), Industrial Engineering, Istanbul Technical University, Institute of Science and Technology, 2001–2006 MSc, Industrial Engineering, Galatasaray University, Faculty of Engineering and Technology, 1999–2001 BSc, Industrial Engineering, Istanbul Technical University, Faculty of Management, 1995–1999 Languages: Advanced English (C1), Upper-Intermediate French (B2), Advanced German (C1) Research Interests: Prof. Alptekin’s research focuses on Computer Learning , Fuzzy Sets and Systems , and Decision Support Systems . His work integrates artificial intelligence, machine learning, and soft-computing techniques to solve complex industrial and managerial problems in areas such as supply chain management, quality function deployment, blockchain adoption, and mental-health prediction. Publication Trends: Across more than 50 refereed publications, Prof. Alptekin has consistently explored hybrid intelligent models that combine fuzzy logic, machine learning, and multi-criteria decision-making. Recent articles emphasize deep-learning-based anomaly detection in industrial time-series data, blockchain adoption in supply chains, and machine-learning applications in subjective well-being and mental-health modeling. Scientific Awards & Honors: No specific awards or medals are listed in the provided documents. Research Leadership & Funding: Since 2008 he has been the principal investigator (executive) of 12 nationally funded projects, covering topics such as Industry 4.0 sub-system design, Internet of Things applications, artificial neural networks in organizational decision-making, big-data analytics, and strategic decision processes. Graduate Advising: He has formally supervised at least 8 master’s theses and numerous undergraduate projects. Representative thesis titles include Gaussian-process-regression-based man-hour prediction, machine-learning-driven human-behavior modeling, recommender-system design for e-commerce, thyroid-nodule diagnosis from scintigraphic images, software-effort estimation via neural networks, spreadsheet heuristics for joint-replenishment problems, cross-selling decision systems in insurance, and profitability analyses of Turkish banks under disinflation. Laboratories & Teams: While no dedicated laboratory name is disclosed, his continuous role as Vice Dean and principal investigator implies active leadership of the Industrial Engineering department’s research clusters in intelligent systems and decision support technologies.

• Computer Learning
• Fuzzy Sets and Systems
• Decision Support Systems
• +3 more

Emine Ayaz is a Professor at Istanbul Technical University's Department of Electrical Engineering. Her research spans fault detection in electric motors, signal processing, and nuclear power plant monitoring, with recent work integrating deep learning (e.g., dual RNN architectures) and medical applications (e.g., parasitology, plant-based wound healing). Key Collaborations : International partnerships in motor diagnostics and nuclear engineering. Projects : Led grants on high-voltage training and predictive maintenance for TEİAŞ and industrial processes. Research Trends : Recent publications emphasize neural networks for motor fault classification, coherence analysis for insulation diagnostics, and interdisciplinary work in plant biotechnology and parasitology. Labs & Teams : Involved in projects analyzing vibration signals, wavelet transforms, and sensor fusion for industrial and nuclear systems.

• Electrical Engineering
• Mechanical Fault Detection
• Signal Processing
• +12 more

Assoc. Prof. Dr. Yasemin CEYHAN is an accomplished academic in nursing, currently serving as an Associate Professor at Kırşehir Ahi Evran University's Faculty of Health Sciences, Department of Nursing. She has been a full-time faculty member since 2013, initially as a Research Assistant (2013-2020) and subsequently as a Doctoral Teaching Member (2020-present). She holds multiple administrative positions including Head of Department (2020-present), Faculty Council Member (2022-present), and Quality Committee Member (2024-present). Dr. CEYHAN completed her Bachelor's Degree in Nursing at Ahi Evran University (2007-2011), followed by a Master's Degree in Nursing at Erciyes University (2012-2015), and earned her Doctorate in Internal Medicine Nursing from Erciyes University (2015-2019). She has completed numerous specialized courses in statistical analysis, meta-analysis, and healthcare research methodology. Her research primarily focuses on Internal Medicine Nursing with particular expertise in Chronic Obstructive Pulmonary Disease (COPD) management, cultural competency in nursing practice, and patient self-management in chronic diseases. She has developed significant expertise in psychometric evaluation of nursing instruments and has contributed substantially to understanding the relationship between cultural sensitivity and nursing care effectiveness. Her work bridges nursing practice with psychological, cultural, and physiological aspects of patient care. Analysis of her publication record reveals a clear evolution from descriptive studies to sophisticated analytical research employing structural equation modeling and randomized controlled trials. Her recent work demonstrates increasing methodological rigor with a focus on mediation and moderation effects in complex patient care scenarios, particularly in COPD management where she examines intricate relationships between symptoms, psychological factors, and self-management behaviors. Poster Presentation 3rd Prize (2014) from Eskişehir Osmangazi University Dr. CEYHAN has successfully supervised multiple Master's theses and currently mentors additional graduate students. She has secured and led several significant research projects funded by TÜBA, TÜBİTAK, and university research funds, focusing on chronic disease management, cultural competency assessment tools, and COPD patient care. Her research portfolio demonstrates a strong commitment to evidence-based nursing practice and instrument development. As an active member of the Turkish Respiratory Research Association (since 2018) and the Turkish Nurses Association (since 2015), Dr. CEYHAN maintains a robust collaborative research network that spans multiple Turkish universities, particularly Erciyes University. Her work reflects a team-oriented research approach with numerous co-authored publications demonstrating interdisciplinary collaboration.

• Internal Medicine Nursing
• Chronic Obstructive Pulmonary Disease (COPD) Care
• Cultural Competency in Nursing
• +5 more

Associate Professor Ahmet Şensoy specializes in Finance at Bilkent University's Faculty of Business Administration. He holds a PhD in Mathematics from Bilkent (2013) and has professional experience at Borsa Istanbul's Research and Business Development Department (2012–2017), with visiting research stints at Nasdaq OMX (2014–2015). His research focuses on Asset Pricing, Market Microstructure, Sustainability, and Corporate Finance. He has received the TÜBİTAK Incentive Award (2018) and TÜBA Young Scientist Award (2020). He serves as an associate editor for journals like International Review of Financial Analysis and a guest editor for Annals of Operations Research . His teaching includes Advanced Empirical Finance and Risk Management. Research Interests: - Asset Pricing Mechanisms - Cryptocurrency Market Dynamics - ESG Integration in Corporate Strategy - Behavioral Finance and Investor Behavior - Regulatory Impact on Corporate Productivity Publications highlight interdisciplinary themes such as pandemic economics (Production and Operations Management), green credit policies (Technological Forecasting and Social Change), and cryptocurrency market structures (Journal of Financial Research). His work bridges theoretical finance with real-world applications in emerging markets and sustainability. Editorial Roles: International Review of Financial Analysis International Review of Economics and Finance Research in International Business and Finance Emerging Markets Finance and Trade Grants and Advising: While specific grants aren't listed, his extensive publication record across top-tier journals indicates substantial research engagement. He collaborates with institutions like the TÜBİTAK and TÜBA.

• Asset Pricing
• Market Microstructure
• Sustainability
• +3 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.

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

İBRAHİM HALİL EFENDİOĞLU is an Associate Professor at Gaziantep University's Faculty of Economics and Administration, Department of Business Administration. Previously, he served as a Lecturer at Gaziantep University's Presidency, Department of Informatics from 2016 to 2023. His academic journey includes a Doctorate in Business Administration from Hasan Kalyoncu University (2015-2019), a Master's in Computer Education from Gazi University (2006-2008), and a Bachelor's in Computer Engineering from Mersin University (2000-2004). His primary research interests focus on the intersection of marketing and emerging digital technologies. EFENDİOĞLU's work spans digital marketing, artificial intelligence applications in marketing, Metaverse marketing, blockchain technology, and NFT marketing. His research demonstrates how these emerging technologies are reshaping consumer behavior and marketing strategies in both Turkish and global contexts. His recent publications (2023-2024) reveal a strong trend toward examining cutting-edge digital marketing phenomena. His work covers diverse areas including AI-powered marketing, Metaverse consumer behavior, cryptocurrency adoption, and NFT market dynamics. These publications appear in both Turkish and international journals, demonstrating his ability to contribute to scholarly discourse across linguistic boundaries. 2024 Kamu UBYT Programı Araştırmacı Teşvik Ödülü (TÜBİTAK) Yayın Teşvik Ödülü 3rd. Best Paper Award (International Islamic Marketing Association, 2023) EFENDİOĞLU has supervised graduate students, including NİHAL BÜLBÜL's thesis on social media marketing activities and their impact on purchase intention. His teaching responsibilities span undergraduate, graduate, and associate degree levels, covering courses in electronic commerce, marketing principles, digital marketing, and information technologies. He has also participated in numerous research projects related to digital marketing, Metaverse applications, and e-commerce education. His interdisciplinary background in computer engineering and business administration uniquely positions him to analyze the technological and behavioral aspects of digital marketing phenomena. This dual expertise is evident in his research that bridges technical understanding of emerging platforms with consumer behavior insights.

• Marketing
• Digital Marketing
• Metaverse Marketing
• +6 more

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.

• Applied econometrics
• panel data econometrics
• agricultural economics
• +2 more

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.

• Educational Measurement and Evaluation
• Psychometrics
• Test Development
• +7 more

Prof. Dr. Kumru Didem Atalay is a distinguished academic at Başkent University, specializing in Industrial Engineering . With a PhD in Statistics from Ankara University (2007), she has made significant contributions to Operations Research , Fuzzy Logic , and Decision Support Systems . Her work bridges statistical analysis with real-world applications in healthcare logistics, pandemic response, and manufacturing optimization. Education: PhD (2007), MS (2000), BS (1998) in Statistics from Ankara University Current Role: Professor in Industrial Engineering at Başkent University Her research focuses on stochastic processes , fuzzy modeling , and healthcare operations , particularly in pandemic-era service quality and microchannel manufacturing. She has developed innovative methods for project scheduling , risk analysis , and multi-criteria decision-making . Recent publications examine Covid-19's impact on education quality and fuzzy linear programming for project scheduling . She applies intuitionistic fuzzy models to optimize manufacturing systems and hesitant fuzzy regression for pandemic death count estimation. Scientific recognition includes a Runner-up Prize at the 15th ICMSEM (2021) and a Bronze Medal at ISIF21 (1970). She supervises advanced research on topics like multi-trip home healthcare routing and fuzzy quality function deployment .

• Statistical Analysis
• Stochastic Processes
• Applied Statistics
• +8 more

Prof. Dr. Aziz ŞAHİN is a Professor in the Department of Animal Science at the Faculty of Agriculture, Kirşehir Ahi Evran University, Turkey. With over two decades of academic experience, he has progressed from Research Assistant to Professor, holding positions at both Gaziosmanpaşa University and Ahi Evran University. His scholarly contributions span numerous research areas within animal science, with particular emphasis on biometrics, genetics, and breeding of both large and small livestock. Dr. ŞAHİN earned his Bachelor's degree in Animal Science from Ondokuz Mayıs University (1996-2000), followed by a Master's degree in Animal Science from Gaziosmanpaşa University (2001-2004), and completed his PhD in Animal Science at the same institution (2004-2010). His academic journey reflects a consistent dedication to advancing knowledge in animal breeding and genetics. His research primarily focuses on Biometrics and Genetics, Cattle Breeding and Improvement, and Small Animal Breeding and Improvement . Analysis of his publication record reveals a strong emphasis on buffalo and cattle breeding, with particular attention to lactation curves, genetic parameter estimation, meat quality characteristics, and environmental factors affecting dairy production. His work bridges theoretical genetic principles with practical applications in livestock management. Dr. ŞAHİN has received significant recognition for his scholarly contributions, including the prestigious TÜBİTAK Yayın Teşvik award in both 2012 and 2014. His research impact is evident through substantial citation metrics across multiple platforms: UNIS (389 citations, h-index 10), Web of Science (174 citations, h-index 7), Scopus (207 citations, h-index 8), and Google Scholar (747 citations, h-index 15). As an academic mentor, Dr. ŞAHİN has supervised numerous graduate students, serving as primary advisor for 9 Master's theses and 1 Doctoral dissertation. His research program has been supported by 21 funded projects from higher education institutions and public organizations, including significant work on Anatolian buffalo genetics, DNA banking, and lactation parameter analysis. He has also held important administrative roles including Head of Department (since 2024) and Faculty Board Member (since 2018). Dr. ŞAHİN maintains active collaborations with researchers across Turkish institutions, particularly with colleagues at Ondokuz Mayıs University and other agricultural research centers. His ongoing work continues to advance understanding of livestock genetics and breeding practices in the Turkish context.

• Biometrics and Genetics
• Cattle Breeding and Improvement
• Small Animal Breeding and Improvement
• +3 more

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

• Share structures of companies
• ISE
• Financing
• +2 more

Dr. Mehmet Dinç is a full-time Associate Professor in the Psychology Department at the Faculty of Economics, Administrative and Social Sciences, Harran University . He specializes in clinical psychology, digital addiction, and narrative therapy, with a focus on technology's impact on child and adolescent development. Education PhD in Psychological Counseling & Guidance, Marmara University (2017) MA in Narrative Therapy, University of Melbourne (2020) MA in Clinical Psychology, Okan University (2010) MA in Educational Management, RMIT University (2007) BA in Psychological Counseling & Guidance, Marmara University (2003) His research explores the intersection of digital behavior and mental health, particularly in adolescents, with a focus on internet gaming disorder, resilience, and therapeutic approaches like narrative therapy. He has developed cross-cultural assessment tools and contributed to understanding digital addiction. His work includes collaborations on projects such as the EU-funded "Okula Geç Kalma" (Late to School) initiative, addressing educational challenges through psychological frameworks. He also authored books on technology awareness and addiction, bridging academic research and public education.

• Clinical Psychology
• Digital Addiction
• Educational Psychology
• +3 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.

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