جستجوی استاد راهنمای دانشگاهی

Dr. Didem Sari Ay serves as a Lecturer in the Department of Industrial Engineering at Alanya Alaaddin Keykubat University's Rafet Kayış Faculty of Engineering. She earned her PhD in Industrial and Manufacturing Systems Engineering from Iowa State University (2017) following an MS in Operations Research from North Carolina State University (2013) and a BS in Industrial Engineering from Sakarya University (2008). Her educational background includes: PhD, Industrial and Manufacturing Systems Engineering, Iowa State University (2013-2017) MS, Operations Research, North Carolina State University (2011-2013) BS, Industrial Engineering, Sakarya University (2004-2008) Dr. Sari Ay specializes in Operations Research with emphases on stochastic programming and energy systems optimization. Her work develops statistical methodologies for scenario generation quality assessment in wind power integration and unit commitment problems, addressing uncertainty through advanced optimization frameworks. She bridges theoretical stochastic models with practical energy market applications. Her 2016-2019 publications demonstrate consistent innovation in stochastic unit commitment, introducing reliability metrics and validation techniques for wind power scenarios. These works establish statistical foundations for decision-making under uncertainty in power systems, with significant contributions to scenario quality assessment frameworks. She received the Teaching Excellence Award from Iowa State University in 2016 and maintains active INFORMS membership since 2014. Administrative service includes Department Head duties at Alanya Alaaddin Keykubat University (2018-2019). No information is available regarding graduate student supervision, research grants, or laboratory affiliations.

• Operations Research
• Stochastic Programming
• Wind Power Integration
• +۳ مورد دیگر

Ozgur S. Oguz is an Assistant Professor at Bilkent University , Faculty of Computer Engineering, and the lead of the Learning for Intelligent Robotic Agents (LiRA) Lab . His research focuses on enhancing autonomous agents' capabilities in learning, reasoning, and planning, particularly for robotics applications. Education : PhD in Computer Science from TU Munich , studies at University of British Columbia (UBC) and Koç University , postdoctoral work at University of Stuttgart and Max Planck Institute for Intelligent Systems . His research explores algorithms for autonomous decision-making, with emphasis on deep learning , reinforcement learning , and robotics . Recent work includes diffusion-based reinforcement learning , hindsight experience prioritization , and hybrid manipulation planning , often addressing challenges in sequential task execution and tactile-based control. Key trends in his publications revolve around robotic manipulation , motion planning , and human-robot interaction . He has contributed to conferences like NeurIPS , ICRA , IROS , and journals such as IEEE TRO and Scientific Reports .

• Artificial Intelligence
• Robotics
• Deep Learning
• +۵ مورد دیگر

Burhaneddin İzgi serves as an Associate Professor in the Department of Mathematics Engineering at Istanbul Technical University, where he maintains an active research profile with projects extending through 2025. His work bridges theoretical mathematics with computational applications, particularly in game-theoretic problem solving. Research interests center on Game Theory and Stochastic Differential Equations, with specialized focus on matrix norm-based solution methods for zero-sum, fuzzy, and stochastic matrix games. Recent work integrates Artificial Intelligence techniques to address large-scale game complexity, reflecting interdisciplinary innovation across Numerical Analysis and Fuzzy Mathematics. Article trends (2022-2025) reveal consistent advancement of matrix norm methodologies across diverse game types, increasingly incorporating machine learning for computational efficiency. Publications demonstrate strong theoretical grounding in Mathematics while addressing practical applications in finance (e.g., IPO modeling) and decision systems. Scientific recognition includes: 2210 - Yurt İçi Yüksek Lisans Burs Programı (2008) 2211 - Yurt İçi Doktora Burs Programı (2010) Matematik Bölüm Birinciliği (2008) Üniversite İkinciliği ödülü (2008) Research funding includes TUBITAK-supported projects such as 'Stokastik Oyunlar İçin Matris Norm Tabanli Yeni Çözüm Yöntemleri Ve Yapay Zeka Uygulamalari' (2021-2023) and current grants developing chaos theory approaches for stochastic matrix games (2024-2025), demonstrating sustained external validation of his research program.

• Game Theory
• Stochastic Differential Equations
• Numerical Analysis
• +۳ مورد دیگر

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
• +۸ مورد دیگر

Zeynep Akşin Karaesmen is a Professor in the Operations Management and Information Systems group at Koç University, where she has been since Fall 2002. She holds a PhD (1996) and MS (1994) in Operations Management from the Wharton School, University of Pennsylvania, and a BS in Industrial Engineering from Middle East Technical University (1990). Previously, she served as faculty at INSEAD and was a visiting scholar at Kellogg School of Management (2008-2009). Her research focuses on Service Operations Management Behavioral Operations Management Call Center and Healthcare Operations Stochastic Modeling Mathematical and Empirical Analysis Her recent publications analyze Call Center Delay Announcements Workforce Cross-Training Service System Design Human Capital Valuation Healthcare Capacity Planning Customer Retrial Behavior Scientific Awards TÜBA Social Sciences Incentive Award (2006) IBM Faculty Award (2011) Koç University Outstanding Faculty Member (2017) Wickham Skinner Best Paper Award (2016, 2nd Place) MSOM Service Management SIG Prize Finalist (2015) Best Paper Awards (multiple) She serves as Associate Editor for Management Science , Manufacturing & Service Operations Management , and other journals. Her teaching includes Operations Management (EMBA/MBA/undergraduate), Service Operations Management, and Supply Chain courses.

• Service Operations Management
• Behavioral Operations Management
• Call Center Operations
• +۴ مورد دیگر

Özgür Kıbrıs is a Professor of Economics at Sabancı University, where he has held academic and administrative roles including Dean of the Faculty of Arts and Social Sciences (2017–2020) and Economics Programs Coordinator. He earned his Ph.D. in Economics from the University of Rochester (2000) following earlier degrees in Industrial Engineering and Economics from Bilkent University. His research focuses on bargaining theory, mechanism design, political economy, decision theory, and behavioral economics, with notable contributions to reference point formation and experimental studies of economic behavior. His academic career includes visiting positions at Duke University (2011–2012) and the University of Rochester (2007–2008). Kıbrıs has been recognized with prestigious awards, including the Turkish Academy of Sciences Distinguished Young Scholar Award (2006) and multiple teaching accolades. He teaches advanced courses in microeconomic theory, game theory, and formal political analysis, emphasizing strategic reasoning and analytical rigor. His research spans topics such as voice pitch bias in political communication, social media's impact on press freedom, and the dynamics of protectionist policies in globalization. Kıbrıs collaborates internationally, evidenced by co-authored works on issues like investment implications of bankruptcy laws and state-society relations in civil conflicts. His work bridges theoretical economics with practical applications in policy design and institutional analysis.

• Bargaining Theory
• Mechanism Design
• Political Economy
• +۴ مورد دیگر

Prof. Dr. Mehmet Ozger is an Associate Professor at the Civil Engineering Department of Istanbul Technical University, specializing in Hydrology, Coastal Sciences and Engineering, and Water Resources Management. He holds a PhD in Water Engineering from Istanbul Technical University. His research focuses on climate variability, water resource optimization, and environmental modeling. Ozger has led numerous projects including hydrodynamic modeling of Istanbul Strait, flood risk assessments in Rize Province, and artificial wetland systems construction. He has also contributed to international collaborations on wave energy systems and drought prediction. His work frequently employs advanced computational methods like machine learning, fuzzy logic, and GIS-based decision frameworks. Ozger’s expertise is further reflected in his advisory roles for TÜBİTAK projects and executive responsibilities in high-budget engineering initiatives. Education: BSc (1995), MSc (2001), PhD (2007) in Civil Engineering/Water Engineering from ITU Labs: Hydraulics Laboratory at ITU Ayazaga Campus Research Interests: Climate change impacts on hydrology, urban flood management, and sustainable water resource systems. He has published extensively on topics like rainfall-runoff modeling, groundwater vulnerability assessment, and energy dissipation in hydraulic structures. Ozger’s projects often address real-world challenges such as dam optimization, coastal tunnel hydrodynamics, and artificial recharge systems in arid regions. Notable Projects: Technical reports for Golden Horn Tunnel hydrodynamics, Istanbul Canal environmental impact assessments, and flood risk mapping in Istanbul. He has secured funding for projects totaling over ₺2 million, including studies on wave energy conversion and drought forecasting in Texas.

• Hydrology
• Coastal Sciences and Engineering
• Water Resources Management
• +۳ مورد دیگر

Erdal Erel is a Professor of Operations Management (OM) and currently serves as the Vice Rector in charge of administrative and financial affairs at Bilkent University's Faculty of Business Administration. He holds a B.S. in Industrial Engineering from Istanbul Technical University (1981), an M.S. from Stanford University (1983), and a Ph.D. from Virginia Polytechnic Institute and State University (1987). His academic career has been dedicated to advancing research in Production Operations Management, focusing on manufacturing systems design, assembly/disassembly line balancing, scheduling, and project management. Erel's educational background includes: B.S. in Industrial Engineering, Istanbul Technical University (1981) M.S. in Industrial Engineering, Stanford University (1983) Ph.D. in Industrial Engineering and Operations Research, Virginia Polytechnic Institute and State University (1987) His research interests span several critical areas of operations management, including manufacturing systems design, assembly and disassembly line balancing, scheduling and sequencing methodologies, and project management. He has made significant contributions to robust optimization techniques applied to time-cost trade-offs and stochastic modeling in production systems. His work emphasizes practical solutions for complex operational challenges through advanced algorithms like ant colony optimization and beam search methods. Erel's publications reflect a focus on optimization in production systems, scheduling algorithms, and decision models under uncertainty. His research bridges theoretical advancements with real-world applications in manufacturing and service industries, addressing issues such as cost minimization, robust scheduling, and efficiency improvements in assembly line operations. Erel has contributed extensively to his field but no specific scientific awards are mentioned in the provided text. No specific information about advising students or grants is provided in the text. Erel's involvement in collaborative projects, including work with colleagues like I. Sabuncuoglu and J.B. Ghosh, highlights his role in interdisciplinary research teams focused on operational efficiency and advanced manufacturing technologies.

• Production Operations Management
• Manufacturing Systems Design
• Assembly and Disassembly Line Balancing
• +۴ مورد دیگر

Dr. Fehmi Tanrısever is an Associate Professor at Bilkent University's Faculty of Business Administration. He specializes in Operations Management and Finance, with research focusing on commodity risk management, start-up operations, and the interface between operational and financial decisions. He previously served at Eindhoven University of Technology until 2013 and holds a PhD from the University of Texas at Austin. Education: PhD in Supply Chain and Operations Management, McCombs School of Business, University of Texas at Austin (2009) Research Interests: Commodity Risk Management Operations-Finance Interface Start-up Operations Supply Chain Finance Fintech Energy Operations His work bridges operational decisions with financial implications, particularly in energy markets and pandemic scenarios. Publications Trends: Recent work emphasizes pandemic management strategies, energy market optimization, and financial hedging mechanisms. Papers often combine stochastic modeling with real-world applications in supply chain resilience and policy design. He is a Senior Editor for Production and Operations Management and has advised on energy market reforms like the Turkish Day-Ahead Electricity Market. No formal student advisees are listed in the provided materials.

• Operations Management
• Finance
• Commodity Risk Management
• +۷ مورد دیگر

Prof. Dr. Savaş Dayanık is a faculty member at Bilkent University, where he contributes to the fields of Industrial Engineering and Operations Research as a Professor. He holds a Ph.D. and M.Phil. from Columbia University and has been affiliated with Bilkent University for his M.S. and B.S. degrees, indicating a long-standing academic relationship with the institution. Education: Ph.D., 2002, Industrial Engineering and Operations Research, Columbia University M.Phil., 2000, Industrial Engineering and Operations Research, Columbia University M.S., 1996, Industrial Engineering, Bilkent University B.S., 1994, Industrial Engineering, Bilkent University His research focuses on advanced stochastic methodologies, including Stochastic Processes, Stochastic Dynamic Programming, and Stochastic Optimal Control. These theoretical frameworks are applied to practical challenges in Financial Engineering, Statistics, and Operations Management, bridging mathematical rigor with real-world problem-solving in industrial and financial systems.

• Stochastic processes
• Stochastic modeling
• Stochastic dynamic programming
• +۴ مورد دیگر

Özkan Kale is an Associate Professor at the Department of Civil Engineering, TED University. He holds academic affiliations with the Graduate Programs in Civil Engineering and has served as a Coordinator for academic activities. His professional experience includes roles as a research associate at Bogazici University Kandilli Observatory and Earthquake Research Institute (2015) and Rice University (2016). He teaches courses such as 'Structural Analysis', 'Earthquake Resistant Design', and 'Probability and Statistics for Engineers', reflecting his expertise in Civil Engineering education. Dr. Kale's research focuses on earthquake engineering and engineering seismology, particularly ground motion characterization, probabilistic seismic hazard analysis, and seismic design spectra. He has contributed to national and international projects, including the development of ground motion predictive models and strong-motion databases for Turkey and Europe. His work emphasizes uncertainty quantification in seismic evaluations and the application of advanced statistical methods to improve seismic risk assessment. Recent publications highlight his analysis of ground motions from the 2023 Türkiye earthquakes, evaluation of site effects in Kahramanmaraş, and development of regional ground-motion models. His research trends emphasize data-driven methodologies, regional adaptation of models, and practical applications for infrastructure resilience. Dr. Kale advises on academic projects and has been involved in several research grants focused on seismic hazard and risk mitigation. He actively contributes to the TED University academic community through teaching and coordinating graduate programs.

• Earthquake Engineering
• Engineering Seismology
• Ground Motion Prediction
• +۳ مورد دیگر

Prof. Ercan Kahya is a Professor of Civil Engineering at Istanbul Technical University (ITU), holding roles as Rector of Taskent Architecture and Construction Institute (2021–2024) and ITU-TRNC Rector (2012–2020). He earned his Ph.D. in Hydrology from UCLA and has held academic positions at Selcuk University and visiting roles at American Universities in Dubai. His research focuses on hydrology, water resources, coastal sciences, and hydroclimatology, addressing drought analysis, climate impacts, and modeling. Over 20 students have completed theses under his supervision, covering topics like flood risk, precipitation modeling, and climatic variability. His work integrates advanced statistical methods, machine learning, and environmental data analysis. Recently, he has explored gridded precipitation products, drought indices, and climate change effects on rainfall patterns. Education: Ph.D. in Hydrology, University of California, Los Angeles (1989–1993) M.Sc. in Civil Engineering, Polytechnic University, New York (1986–1988) B.Sc. in Civil Engineering, Istanbul Technical University (1980–1984) Research Interests: Drought dynamics, hydroclimatic modeling, climate teleconnections, and environmental data analytics. His articles highlight advancements in streamflow prediction, drought forecasting via machine learning, and spatial analysis of climate indices. He has contributed to policy-related studies on flood risk and erosion assessment. Currently, he oversees ongoing research on energy efficiency in Uzbekistan’s residential buildings and the Black Sea region’s hydrological challenges. His memberships include the International Association of Hydrological Sciences and the Nutrigenetics Epigenetics Association (Vice President, 2020–2024).

• Hydrology
• Water Resources
• Coastal Sciences and Engineering
• +۳ مورد دیگر

Ibrahim Altunbas is a Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU), College of Engineering. He is actively involved in research on next-generation wireless communication systems, with a strong focus on satellite networks, terahertz and millimeter-wave communications, non-orthogonal multiple access (NOMA), spatial modulation, and hybrid RF/FSO systems. His work integrates theoretical modeling with practical design for high-efficiency and reliable wireless links. His research interests span a wide range of advanced topics in telecommunications, including antenna selection, full-duplex communication, index modulation for drone networks, and error performance analysis in fading environments. The fingerprint of his research highlights key areas such as Error Performance , Fading Channels , Antenna Selection , Outage Probability , and Transmit Antenna Selection , reflecting his deep expertise in physical layer communication design. The recent trend in his publications shows a strong emphasis on satellite-based communication using emerging technologies like Rate-Splitting Multiple Access (RSMA), NOMA, and HAPS-assisted networks. His work frequently addresses challenges in power allocation, decoding order optimization, I/Q imbalance, and pointing errors in high-frequency systems. These contributions demonstrate a consistent effort toward enhancing spectral efficiency, energy efficiency, and reliability in future wireless networks. Episode-Based Broadcast Performance Award (2021) ITU BAP International Scientific Cooperation Development Support (2015) ITU Rectorate Scholarship Program (2001) Project Performance Award (2017) Vehbi Koç Foundation Scholarship (1997) As Principal Investigator (PI), he has led multiple BAP-funded research projects at ITU, including studies on turbo and LDPC coding in THz channels, NOMA for satellite networks, index modulation for drone communications, and multi-hop spatial modulation systems. These projects highlight his leadership in driving innovation in wireless technologies. While specific grant amounts are not listed, the volume and continuity of funded projects indicate sustained research support. He is currently supervising 29 theses, reflecting his active role in mentoring graduate students in cutting-edge communication research. His research is conducted within the framework of ITU’s Department of Electronics and Communication Engineering, where he collaborates with students and researchers on projects involving simulation, performance analysis, and system design for future wireless networks. His lab focuses on physical layer innovations, particularly in multi-antenna systems, satellite-HAPS integration, and novel modulation techniques.

• Wireless Communications
• Satellite Networks
• Millimeter Wave Communications
• +۱۲ مورد دیگر

Berkay Anahtarcı is an Assistant Professor in the Department of Mathematical Engineering at Özyeğin University. He received his B.Sc. from Boğaziçi University in 2008, followed by his M.Sc. and Ph.D. from Sabancı University in 2011 and 2015, respectively, under the supervision of Professor Plamen Djakov. His educational background includes: B.Sc. in Mathematics, Boğaziçi University, 2008 M.Sc. in Mathematics, Sabancı University, 2011 Ph.D. in Mathematics, Sabancı University, 2015 Dr. Anahtarcı's research spans both theoretical mathematics and applied interdisciplinary fields. His early work focused on Functional Analysis and Spectral Theory of Differential Operators, particularly spectral gaps of Dirac and Mathieu operators. More recently, his research has evolved toward Game Theory with a focus on Mean-Field Games and Machine Learning, especially Reinforcement Learning. This transition demonstrates his ability to bridge pure mathematics with cutting-edge applications in artificial intelligence. His publication record shows a clear progression from theoretical mathematics (2012-2018) to increasingly applied work in game theory and machine learning (2020-2025). The majority of his recent publications center on learning algorithms for mean-field games, inverse reinforcement learning, and related computational frameworks. Among his notable achievements is the Faculty Teaching and Learning Excellence Award from Özyeğin University in 2024. He is also the principal investigator for the TUBITAK 1001 research grant "Inverse Reinforcement Learning for Mean-Field Games" (2024-2027), one of Turkey's most competitive research funding programs. Dr. Anahtarcı has been teaching courses in both Mathematics and Industrial Engineering departments at Özyeğin University and Sabancı University since 2014, demonstrating his interdisciplinary approach to education and research. His work has been published in prestigious venues including the Journal of Machine Learning Research, Dynamic Games and Applications, and IEEE Conference on Decision and Control.

• Game Theory
• Mean-Field Games
• Machine Learning
• +۵ مورد دیگر

Süleyman Mete is an Associate Professor in the Industrial Engineering Department at Gaziantep University's Faculty of Engineering. He has been serving in this position since 2021, following previous roles as a Doctor Lecturer at Gaziantep University (2019-2021) and Munzur University (2017-2019). His academic career began as a Research Assistant at Gaziantep University (2011-2016) and Tunceli University (2010-2011). Dr. Mete earned his Doctorate in Industrial Engineering from Gaziantep University (2013-2017), followed by a Master's degree in Industrial Engineering from the same institution (2011-2013). He completed his undergraduate studies in Industrial Engineering at Selcuk University (2005-2010). Dr. Mete's research focuses on Operations Research, Modeling and Optimization, and Multi-criteria Decision Making. His work spans several specialized areas including disassembly line balancing, humanitarian logistics, risk assessment, and fuzzy logic applications. His research integrates mathematical programming with practical industrial applications, particularly in disaster response, sustainable manufacturing, and supply chain optimization. He has developed innovative approaches combining various multi-criteria decision-making methods with fuzzy logic to address complex real-world problems in occupational safety, transportation, and humanitarian aid distribution. His extensive publication record demonstrates a clear trajectory toward increasingly complex applications of optimization techniques, particularly in humanitarian contexts. Recent work shows a strong focus on drone-assisted logistics, urban mobility sustainability, and advanced risk assessment methodologies using various fuzzy set approaches. His research consistently bridges theoretical methodological development with practical applications in industrial engineering problems. University 2% Most Influential Scientist (2023) University 2% Most Influential Scientist (2022) Dr. Mete has successfully supervised numerous graduate students through their thesis work, with a particular focus on humanitarian logistics, disassembly line balancing, and risk assessment applications. His research projects include "Sustainable, Digital, and Smart Humanitarian Logistics in Disaster Relief Operations" (EU-funded) and "Data-Driven and Web-Based Decision Support System Development for Integrated Optimization of Vector Control Process" (Tübitak 1505). He has also served as a visiting researcher at Karlsruhe Institute of Technology (KIT) in Germany under the TÜBİTAK 2219 Postdoctoral Research Program. Dr. Mete's work demonstrates strong integration between theoretical methodological development and practical applications, particularly in humanitarian contexts and industrial engineering problems. His research group appears to focus on optimization techniques applied to real-world challenges in disaster response, sustainable manufacturing, and supply chain management.

• Operations Research
• Modeling and Optimization
• Multi-criteria Decision Making
• +۴ مورد دیگر