جستجوی استاد راهنمای دانشگاهی

• Artificial Intelligence
• Robotics
• Deep Learning
• +۵ 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 .

Burhaneddin İzgiمشاهده پروفایل

دانشیار

• Game Theory
• Stochastic Differential Equations
• Numerical Analysis
• +۳ 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.

• Statistical Analysis
• Stochastic Processes
• Applied Statistics
• +۸ 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 .

Zeynep Akşin Karaesmenمشاهده پروفایل

استاد

• Service Operations Management
• Behavioral Operations Management
• Call Center Operations
• +۴ 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.

Özgür Kıbrısمشاهده پروفایل

استاد

• Bargaining Theory
• Mechanism Design
• Political Economy
• +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.

Fehmi Tanrıseverمشاهده پروفایل

دانشیار

• Operations Management
• Finance
• Commodity Risk Management
• +۷ 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.

Savaş Dayanıkمشاهده پروفایل

استاد

• Stochastic processes
• Stochastic modeling
• Stochastic dynamic programming
• +۴ 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.

Özkan Kaleمشاهده پروفایل

دانشیار

• Earthquake Engineering
• Engineering Seismology
• Ground Motion Prediction
• +۳ 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.

• Hydrology
• Water Resources
• Coastal Sciences and Engineering
• +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).

Berkay Anahtarcıمشاهده پروفایل

استادیار

• Game Theory
• Mean-Field Games
• Machine Learning
• +۵ 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.

Dilek Günneç Danışمشاهده پروفایل

دانشیار

• Combinatorial optimization
• Network optimization models
• Social network analysis
• +۷ مورد دیگر

Dilek Günneç Danış is an Associate Professor in the Industrial Engineering Department at Özyeğin University, Turkey. Her academic work spans network optimization, social network analysis, and humanitarian logistics with applications in disaster management, marketing, and public health. Ph.D. in Operations Management/Management Science, University of Maryland (2012) M.Sc. in Industrial Engineering, Koç University (2007) B.Sc. in Mathematics with Minor in Operations Research, Middle East Technical University (2005) Research Interests : Combinatorial optimization and complex systems Network modeling for information propagation New product development under social influences Humanitarian logistics in refugee crises Disaster mitigation and infrastructure resilience Scientific Contributions : Developed agent-based models for refugee migration paths Created capacitated mobile facility location frameworks Advanced influence maximization algorithms for social networks Optimized disaster response logistics systems Scientific Awards : Best Poster Award (Business Analytics Workshop, 2017) Advised team: Third Place INFORMS Student Competition (2020)

• Earthquake Engineering
• Numerical Modeling
• Solid Mechanics
• +۳ مورد دیگر

Prof. Dr. Abdullah Gedikli is a Professor in the Civil Engineering Department at Istanbul Technical University's Faculty of Construction. He holds a PhD in Civil Engineering from ITU and has extensive experience in academic roles, progressing from Assistant Professor (1997–2007) to Associate Professor (2008–2013) before becoming a full Professor in 2013. His research focuses on earthquake engineering, numerical modeling, and solid mechanics, with notable contributions to structural analysis, geotechnical systems, and masonry behavior. Education: PhD in Civil Engineering, Istanbul Technical University (1992–1996) MSc in Structural Engineering (Thesis), Istanbul Technical University (1987–1989) BSc in Civil Engineering, Mediterranean University (1981–1985) His research interests span seismic vulnerability assessment of infrastructure, numerical simulations of masonry and pipeline systems, and experimental studies on erosion and sediment transport. Over 30 years, he has supervised 20+ theses, including works on seismic isolation, masonry wall behavior, and soil-structure interaction. His articles address critical civil engineering challenges such as earthquake-resistant design, fluid-structure interaction in storage tanks, and hydrological modeling. Notably, his work combines theoretical modeling with experimental validation, contributing to both academic and practical solutions for infrastructure resilience. He actively teaches courses like statics and structural analysis, reflecting his commitment to both research and education.

• Power Systems
• Renewable Energy
• Optimization Models
• +۴ مورد دیگر

Dr. Hamza Abunima is an Assistant Professor at the Electrical Electronics Engineering Department of Uskudar University since 2021. He holds a PhD in Power Systems and Energy Conversion from Universiti Sains Malaysia (2020), an MSc in Electrical Engineering from Universiti Teknikal Malaysia (2015), and a BSc in Electrical Engineering from The Islamic University of Gaza (2011). His research focuses on power systems optimization, renewable energy integration, and smart grid technologies. He has published extensively on topics such as mixed-integer programming for scheduling, microgrid operations, and photovoltaic system reliability. Abunima has led or participated in projects like the establishment of a Power Systems and Electric Machines Laboratory (expiring 2024) and research on industrial energy problems (expiring 2024). His administrative roles include Erasmus Coordinator (2022–2023) and membership in the Exam Schedule Preparation Committee (2023–present). He teaches courses such as Power Systems, Fuzzy Logic and Neural Networks, and Circuit Theory II. His research interests emphasize optimizing energy systems through mathematical modeling and control strategies, with a focus on renewable energy integration challenges and grid stability. Recent work includes studies on PV system efficiency, demand-side management, and stochastic optimization for microgrids.

Necati ARASمشاهده پروفایل

استاد

• Inventory Control
• Product Recovery Network Design
• Reverse Logistics Management
• +۷ مورد دیگر

Necati ARAS is a Professor in the Department of Industrial Engineering at Bogazici University. He holds a PhD from Bogazici University (1999). His research focuses on inventory control, reverse logistics, supply chain optimization, and the application of artificial neural networks in complex systems. He has published extensively on topics including facility location, wireless sensor networks, disaster preparedness, and competitive market strategies. Education: PhD, Bogazici University, 1999 ARAS's work bridges theoretical optimization with real-world applications, particularly in logistics, network security, and smart cities. His contributions include models for minimizing contagion spread in networks, optimizing multi-tier cloud computing, and improving vehicle routing efficiency. Recent research emphasizes strategic resource allocation and mitigating misinformation in social networks. Despite no listed awards, his prolific publication record (over 70 articles) reflects sustained academic impact. His research often addresses humanitarian challenges like disaster response and infrastructure protection. ARAS has advised numerous projects but no specific student names are provided in the text. His research teams likely focus on interdisciplinary collaboration between operations research, computer science, and civil engineering.

Bekir AŞIKمشاهده پروفایل

استادیار

• Economics
• Finance
• Monetary Policy
• +۵ مورد دیگر

Bekir AŞIK is an Assistant Professor and Department Head of Finance and Banking at Beykent University's Faculty of Economics and Administrative Sciences. With extensive experience in economic research and teaching, he specializes in monetary policy, business cycles, and economic growth dynamics, particularly within the Turkish context and emerging markets. Education Dr. AŞIK completed his academic training at Yildiz Technical University: Doctorate in Economics (2010-2017): Thesis on 'Characteristics of business cycles in developing countries and their estimation using dynamic stochastic general equilibrium models: The case of Turkey' Degree in Economics (2004-2007): Thesis on 'The role of openness and human capital in long-term growth (a panel data application for emerging markets)' Licence in Economics (2000-2004) Research Focus Dr. AŞIK's research spans several critical areas in contemporary economics: Business cycle analysis in emerging market economies Monetary policy transmission mechanisms and inflation dynamics Asymmetric relationships in economic variables Digital transformation's economic impacts Financial development and economic growth linkages Policy uncertainty effects on financial markets His methodological approach often employs advanced econometric techniques including ARDL, NARDL, and GARCH-MIDAS models to analyze complex economic phenomena. Publication Trends Dr. AŞIK's recent scholarly output demonstrates increasing focus on digital economy impacts, asymmetric price transmission mechanisms, and sophisticated econometric modeling of Turkish economic data. His publications span international journals with rigorous peer review processes, showing consistent contribution to economic discourse with particular attention to emerging market contexts. Academic Contributions Author of multiple scientific books including 'Monetary and Fiscal Policy Applications in Türkiye' (2023) and 'The Political Economy of Covid 19' (2021) Over 15 peer-reviewed journal articles in national and international publications Regular participation in international conferences including Socioeconomics meetings and Eurasian Economics conferences Extensive teaching portfolio covering macroeconomics, monetary policy, and econometrics Academic Leadership As Department Head since 2022, Dr. AŞIK oversees the academic programs and faculty within the Finance and Banking department. He teaches courses including Turkish Economy, Monetary Policy and Theory, Macroeconomics, and Applied Econometrics across multiple academic years, demonstrating commitment to both research excellence and educational quality.