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Handan Kulan serves as Assistant Professor at Yeditepe University's Faculty of Computer and Information Sciences, Department of Information Systems and Technologies since 2024. Previously, she held faculty positions at Istinye University (2023), Uskudar University (2022), and Beykoz University (2020) across computer engineering and software engineering departments. Education: Ph.D. in Computer Engineering, Kadir Has University (2016-2020): Thesis on critical proteins in Down syndrome learning processes M.S. in Computer Science and Engineering, Sabanci University (2013-2014): Thesis analyzing protein residue networks B.S. in Genetics and Bioengineering, Yeditepe University (2007-2013) Second Major in Computer Engineering, Yeditepe University (2009-2013) Her research integrates machine learning with biomedical challenges, specializing in Down syndrome proteomics, neural network analysis of brain aging, and immune system disorders. She develops computational models for protein identification and applies gradient boosting algorithms to biological datasets, bridging AI with healthcare decision systems as demonstrated in her 2023 Springer book. Publications reveal consistent focus on computational approaches to Down syndrome, with recent conference presentations expanding into statistical clustering of biological data and gene ontology analysis for drug discovery. Her work demonstrates methodological evolution from protein network analysis to advanced predictive analytics. Awards: No specific scientific awards documented in source materials. Dr. Kulan actively supervises graduate theses while teaching core computer science courses including Deep Learning, Artificial Intelligence, and Data Structures at both undergraduate and graduate levels across multiple institutions. Her teaching portfolio reflects direct alignment with her research in AI-driven biomedical analysis.

• Bioinformatics
• Computational Biology
• Machine Learning
• +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

Assoc. Prof. Dr. Ayhan Gün is an Associate Professor in the Department of Electrical and Electronics Engineering at Kütahya Dumlupınar University's Faculty of Engineering. With a career spanning over two decades, he has held various academic positions including Research Assistant, Assistant Professor, and currently Associate Professor since 2024. His extensive administrative experience includes serving as Head of the Control and Command Systems Department (2007-2021) and various leadership roles in university-industry collaboration initiatives. Dr. Gün completed his Bachelor's degree at Near East University (1991-1996), Master's at Dumlupınar University (1998-2001), and PhD at Eskişehir Osmangazi University (2001-2007). His research focuses on control systems, mathematical modeling, artificial neural networks, robotics, SCADA, PLC programming, electromechanical systems, nonlinear control, fuzzy logic, optimization techniques, automation, biomechanics, and mechatronics. His recent publications demonstrate a consistent research trajectory in control engineering, with particular emphasis on optimization algorithms applied to quadrotor control, inverted pendulum systems, and electrical motor design. His work bridges theoretical control concepts with practical implementations in robotics and power systems. A significant portion of his research involves applying swarm intelligence and evolutionary algorithms to solve complex control problems. Bilim, Sanayi ve Teknoloji Bakanlığı Kurumsal Kapasitenin Arttırılması (2016) BİLİM SANAYİ VE TEKNOLOJİ BAKANLIĞI Çift Beslemeli İndüksiyon Generatörü Tasarımı ve İmalatı (2016) Dr. Gün has supervised multiple graduate students and managed numerous research projects, including the current 'Robotic Arm Design and Implementation for Patients with Hemiparetic Arms' project. His external roles include serving as an expert witness for judicial institutions, project referee for TÜBİTAK, and publication reviewer for IEEE Transactions. He has also contributed to regional development through his work with Kütahya Governorship's Planning and Development Board.

• Control Systems
• Mathematical Modeling in Electrical Engineering
• Artificial Neural Networks
• +12 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.

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

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.

• Bayesian Statistics
• Monte Carlo Methods
• Data Privacy
• +3 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. Cengiz Kahraman is a Professor in the Department of Industrial Engineering at Istanbul Technical University (ITU). He holds a PhD in Industrial Engineering from ITU and has held numerous academic and administrative roles, including Head of Department (2010–2013) and Vice Dean (2004–2008). His research focuses on fuzzy logic, multi-criteria decision making, engineering economics, and statistical analysis. He has supervised over 60 theses and led projects funded by TUBITAK and private institutions, including studies on fuzzy decision support systems, warranty cost analysis, and performance evaluation systems. Education: PhD in Industrial Engineering, Istanbul Technical University (1992–1996) MSc in Industrial Engineering, Istanbul Technical University (1988–1990) BSc in Industrial Engineering, Istanbul Technical University (1984–1988) Research Interests: Fuzzy logic extensions (e.g., spherical, Pythagorean, neutrosophic sets) Multi-criteria decision-making methodologies (AHP, TOPSIS, VIKOR) Applications in supply chain management, sustainability, and engineering economics Key Awards: Applied Soft Computing Journal Best Paper Award (2024) ITU Engineering Science Award (2023) TUBITAK Science Award (2018) Memorial Da Ruan Award (2014) Recent Projects: Intelligent multi-criteria legal tracking systems Fuzzy inference techniques for debt collection optimization Social innovation platforms for education volunteers Warranty cost modeling for Arçelik products Grants & Advising: Recipient of multiple TUBITAK Publication Incentives (2011–2015) Advisor to over 60 graduate students in fuzzy decision-making and engineering Directed projects totaling over ₺1.2 million in funding Labs/Teams: Leads research groups focusing on fuzzy decision systems and sustainable engineering solutions.

• Multi-criteria Decision Making
• Fuzzy Logic
• Engineering Economics
• +1 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

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.

• Regional Development
• Sustainable Development
• Agricultural Economics
• +4 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

Professor Burak Erman is a distinguished academic currently serving as a Professor of Science and Engineering at Koç University. He holds a Ph.D. from Istanbul Technical University (1974) and has held faculty positions at Robert College School of Engineering (1969–1971), Boğaziçi University (1971–1998), and Sabancı University (1998–2002). His research focuses on applying statistical mechanics to predict protein function, drug design, and protein-drug interactions. Erman has authored over 200 scientific papers, two books, and two edited volumes. Affiliations: Turkish Academy of Sciences, TÜBİTAK Science Board, and editorial boards of Computational Polymer Science and Polymer Gels and Networks . Collaborations: Max-Planck Institute, ESPCI Paris, and Cincinnati University. His research interests include protein dynamics, entropy changes in mutations, and computational methods for drug design. Key contributions include the Gaussian Network Model for protein behavior analysis and studies on KRAS mutations in cancer. Erman has received prestigious awards like the 2007 American Chemical Society Whitby Award. Awards: 1991 Simavi Science Award, 1991 TÜBİTAK Science Award, 2007 ACS Whitby Award. Labs/Teams: Erman Research Group focuses on protein dynamics and computational biology. Grants and advising details are not explicitly mentioned, but his extensive publications and collaborations highlight significant contributions to interdisciplinary research in biophysics and molecular biology.

• Statistical Mechanics
• Protein Dynamics
• Drug Design
• +3 more

Ceylan YALÇIN is an Assistant Professor at Çankaya University's Faculty of Arts and Sciences, Department of Computer Science (as of 2025). Previously held positions in Mathematics departments at Çankaya University and Türk Hava Kurumu Üniversitesi. Served as Deputy Dean (2022-2023). Holds a PhD from TOBB ETÜ (2017), Master's from TOBB ETÜ (2012), and dual Bachelor's degrees in Mathematics (Gazi University, 2010) and Law (Gazi University, 2021). Research focuses on mathematical analysis, applied mathematics, and time scales calculus with specializations in statistical convergence, fixed point theory, and dynamic equations. Publications include studies on b-metric spaces, interpolative metric contractions, and Hardy-type Tauberian conditions. Fluent in English with YÖKDİL scores of 90.

• Mathematical Analysis
• Applied Mathematics
• Statistical Convergence
• +3 more

Tümay Kadakci Koca is an Associate Professor in the Department of Geological Engineering, Faculty of Engineering at Muğla Sıtkı Koçman University. She holds a Ph.D. in Applied Geology from Dokuz Eylül University (2021), an MSc in Applied Geology (2011), and a BSc in Geological Engineering from Hacettepe University (2009). Research Focus: Engineering geology, rock mechanics, slope stability analysis, geotechnical engineering, and soft computing applications in geological problems. Academic Contributions: Over 15 publications focusing on rock slope stability in mining operations, soil burn severity mapping post-wildfires, and geomechanical properties of sedimentary rocks. Scientific Recognition: Recipient of Kemal Erguvanlı Engineering Geology Award (2022) and Altın Çekiç Geology Research/Article Award (1900). Projects: Led TÜBİTAK-funded research on post-fire soil burn severity in Muğla, contributed to dam reservoir landslide analyses, and consulted for private mining projects in Turkey. Her work integrates numerical modeling with field studies, emphasizing Turkey-specific geological challenges and environmental impacts.

• Engineering Geology
• Rock Mechanics
• Slope Stability
• +5 more

Mine Çağlar is a Professor in the Department of Mathematics at Koç University, specializing in probability theory and stochastic processes with applications in mathematical finance and risk analysis. Her work addresses fundamental problems in Markov additive processes, Lévy processes, and Brownian motion, contributing to both theoretical advances and practical financial modeling. Her academic credentials include: PhD in Statistics and Operations Research from Princeton University (1997) Master’s in Industrial Engineering from Bilkent University (1991) B.A. in Industrial Engineering from Middle East Technical University (1989) Professor Çağlar’s research centers on extreme event analysis in stochastic processes, particularly maximum drawdown, maximum loss, and optimal stopping problems. She investigates path properties of spectrally negative Lévy processes and develops mathematical frameworks for degenerate market models. Her work bridges abstract probability theory with real-world financial applications, including risk management and hedging strategies. Recent publications demonstrate sustained innovation in stochastic analysis, with a focus on long-time behavior of complex processes and boundary-crossing phenomena. Analysis of her 15 most recent publications (2018–2024) reveals a cohesive research trajectory emphasizing Markov additive processes (40% of articles), Lévy process extremes (30%), and financial applications (20%). Key methodological trends include path decomposition techniques, Monge-Ampère equations on Wiener space, and stochastic flow modeling. Her work increasingly integrates fluid dynamics concepts like Çinlar models for turbulence simulation, reflecting interdisciplinary expansion into applied mathematics. Her scholarly recognition includes: Hayri Körezlioğlu Research Award (2013) Parlar Foundation Research Incentive Award (2005)

• Probability
• Stochastic Processes

Kamil Yılmaz , Professor of Economics at Koç University , Istanbul, Turkey, is a leading scholar in macroeconomics and financial econometrics. A member of the Science Academy and Senior Scholar at the Istanbul Policy Center , his research focuses on network connectedness, global financial systems, and Turkish economic policy. He previously worked at the World Bank and held visiting positions at the University of Pennsylvania. Education: PhD and MA in Economics from University of Maryland; BA from Boğaziçi University Research Areas: Macroeconomics, Financial Econometrics, International Trade, Network Analysis, Inflation Dynamics Awards: Richard Stone Prize, Dennis J. Aigner Award Honorable Mention, TÜBA Encouragement Award His work explores financial market interconnectedness , pandemic policy impacts , and economic shock propagation . He has received multiple TÜBİTAK grants for research on inflation modeling and financial networks. Kamil Yılmaz also engages in public policy debates, particularly regarding inflation data transparency in Turkey. Scientific Awards Richard Stone Prize in Applied Econometrics (2020) TÜBA Encouragement Award in Social Sciences (2003) Dennis J. Aigner Award Honorable Mention (2016) International Journal of Forecasting Best Paper Award (2015)

• Macroeconomics
• Financial Econometrics
• International Trade
• +3 more