جستجوی استاد راهنمای دانشگاهی

• Simulation Optimization
• Industrial Engineering
• Operations Research
• +۵ مورد دیگر

Mevlüde Ebrü Angün is an Associate Professor at Galatasaray University's Faculty of Engineering and Technology, Department of Industrial Engineering. Her research focuses on simulation optimization, industrial engineering, operations research, and disaster management. Doctorate in Operations Research, Katholieke Universiteit Brabant, Netherlands (2004) Postgraduate in Industrial Engineering, Boğaziçi University, Turkey (1998) Undergraduate in Industrial Engineering, Istanbul Technical University, Turkey (1995) Her research interests center on simulation optimization, stochastic programming, and disaster management. She applies these to retail operations, unmanned aerial vehicle (UAV) routing, and humanitarian logistics. Her work combines mathematical programming with practical applications in Turkey and international contexts. Scientific contributions include projects on UAV routing in disaster scenarios, retail assortment planning, and internal audit scheduling. She has supervised postgraduate theses on regression clustering and inventory optimization. Stochastic dual dynamic programming for disaster management Mixed-integer linear programming (MILP) for retail and auditing Risk-averse optimization under uncertainty She has served as a TUBITAK grant reviewer and peer reviewer for journals like Engineering with Computers and European Journal of Operational Research .

• Industrial Engineering
• Operations Research
• Energy Systems
• +۴ مورد دیگر

Oktay Karabağ is an Assistant Professor in the Department of Industrial Engineering at Izmir University of Economics , Turkey. His academic work focuses on complex systems optimization and energy efficiency in production environments. Current Staff Member Research Areas: Industrial Engineering, Energy Systems, Maintenance Optimization His research integrates Linear Programming and Markov Decision Processes to address production-energy trade-offs and maintenance scheduling challenges. Recent work explores deep reinforcement learning for multi-component systems and circular economy strategies in remanufacturing. Key publication trends show emphasis on: Energy-efficient production control Condition-based maintenance Stochastic optimization Time and buffer policies Supply chain sustainability Machine learning applications

• Optimization
• Simulation
• Stochastic Processes
• +۴ مورد دیگر

Dr. Emine Yaylalı is an Assistant Professor at Istanbul Technical University's Department of Industrial Engineering and concurrently affiliated with the Department of Business Administration. She holds a PhD from North Carolina State University. Her research focuses on optimization, simulation, and stochastic processes applied to public health challenges, particularly in infectious disease modeling (e.g., HIV, Hepatitis C), healthcare resource allocation, and cost-effectiveness analysis. Education: PhD in Industrial Engineering from North Carolina State University (2010-2012), Master’s degree from the same institution (2007-2010), and a Bachelor’s degree from Boğaziçi University’s Industrial Engineering Department (2002-2007). She also served as a Research Assistant at NC State (2007-2012). Her work emphasizes mathematical modeling for public health interventions, including HIV prevention strategies, pandemic response (e.g., COVID-19 modeling for Istanbul), and evaluating healthcare policies. She received the CROI 2016 Young Investigator Scholarship for her contributions to HIV research. Her recent projects address optimizing antiretroviral therapy initiation, fissure sealant cost-effectiveness, and pandemic non-pharmaceutical interventions. Awards: CROI 2016 Young Investigator Scholarship Labs/Teams: Collaborates with interdisciplinary groups in public health, including the CDC’s Division of HIV/AIDS Prevention and institutions like Frontiers Media SA. Her advising includes mentoring students on HIV/AIDS modeling, cost-effectiveness studies, and operations research applications in healthcare. She has contributed to over 50 peer-reviewed publications and actively participates in conferences such as CROI and INFORMS.

Müştak Erhan Yalçınمشاهده پروفایل

استاد

• Nonlinear Circuits and Systems
• Chaos Theory
• Cellular Neural Networks
• +۳ مورد دیگر

Prof. Müştak Erhan Yalçın is a Professor of Electronics and Telecommunications Engineering at Istanbul Technical University (ITU). He holds a Ph.D. from Katholieke Universiteit Leuven (2004) and degrees from ITU (1997, 1993). His research focuses on nonlinear circuits, chaos theory, cellular neural networks, and embedded systems. He has authored numerous publications in top-tier journals and conferences, with recent work emphasizing secure communication, GPS spoofing detection, and chaotic systems applications. He actively contributes to the academic community through editorial roles (e.g., Associate Editor of IEEE Transactions on Circuits and Systems-II) and organizing international conferences. Notable recognitions include elevation to IEEE Senior Member (2019) and inclusion in ITU's Career-Long Impact category (2024). Education: Ph.D. in Electronics Engineering, Katholieke Universiteit Leuven, 2004 M.Sc., Istanbul Technical University, 1997 B.Sc., Istanbul Technical University, 1993 Research Interests: Nonlinear Circuits and Chaos Theory Cellular Neural Networks and Wave Computing Embedded Systems and Hardware Security Chaotic Signal Processing and Cryptography Recent Projects: TÜBİTAK-funded project on active shield design (2021) Development of GPS spoofing detection methods (2024) Secure communication systems using chaotic oscillators Grants & Awards: IEEE Senior Member (2019) Associate Editor, IEEE Transactions on Circuits and Systems-II (2020–2021) Recipient of TÜBİTAK 1505 Collaboration Program (2021) Labs & Teams: Leading research on nonlinear systems and embedded security within ITU's Electronics and Telecommunications Engineering Department, collaborating with industry partners like Aselsan.

Ali Danandeh Mehrمشاهده پروفایل

استاد

• Stochastic Hydrology
• Hydroinformatics
• Extreme Hydrologic Events
• +۱ مورد دیگر

Ali Danandeh Mehr is a Professor in the Department of Civil Engineering at Antalya Bilim University, Turkey, with a focus on stochastic hydrology, hydroinformatics, and climate change impacts on water resources. He has held adjunct research positions at the University of Tabriz (Iran), Middle East University (Jordan), and the University of Oulu (Finland). PhD in Civil Engineering from Istanbul Technical University Bachelor’s degree from Islamic Azad University His research spans drought forecasting , extreme hydrologic events , and hydroclimatic modeling , leveraging advanced machine learning and hybrid algorithms. Recent work includes the S-Transformer deep learning model, MOGGP multi-objective genetic programming, and Wavelet-Entropy Clustering for drought risk mapping. He has authored over 90 peer-reviewed journal articles and six books, with recognition as a World’s Top 2% Scientist (Stanford/SCOPUS, 2019–2022) and Top 1% Highly Ranked Scholar (ScholarGPS™, 2022). Current roles include Associate Editor for Discover Water (Springer) and J. Civil. Env. Eng. (University of Tabriz).

• Analysis
• Functional Analysis
• Fixed Point Theory
• +۲ مورد دیگر

Arife Aysun KARAASLAN serves as an Assistant Professor in the Computer Engineering Department at Üsküdar University since 2021. With a strong foundation in pure mathematics, she bridges theoretical mathematics with computational applications in her academic role. Education: BSc in Mathematics, Gazi University (2010) MSc in Mathematics, Yıldız Technical University (2013) PhD in Mathematics, Yıldız Technical University (2021) Her research focuses on advanced mathematical theories including Functional Analysis and Fixed Point Theory, with particular expertise in Contraction Mappings and Metric Spaces. This theoretical foundation extends to interdisciplinary applications such as mathematical modeling of brain tumors using fractional operators. Her work demonstrates the critical intersection between pure mathematics and biomedical computational modeling. Her recent publications reveal a dual research trajectory: advancing fundamental fixed point theorems in probabilistic spaces while developing sophisticated mathematical models for medical applications, particularly in oncology. This combination of pure and applied mathematics showcases her versatility in bridging abstract theory with real-world biomedical problems. As an educator, she actively mentors 100-150 undergraduate students as their academic adviser and serves on the university's Internship Commission. Her teaching portfolio includes core mathematics and computer engineering courses such as Calculus I/II, Differential Equations, Linear Algebra, Statistics, and specialized courses like Analysis of Algorithms and Web Programming.

Burak Gökgürمشاهده پروفایل

استادیار

• Operations Management
• Pricing Strategies
• Production Systems Optimization
• +۵ مورد دیگر

Burak Gökgür is an Assistant Professor of Operations Management at the Business School of Sabancı University, located in Tuzla, İstanbul, Turkey. His research focuses on operations management, pricing strategies, production systems optimization, scheduling algorithms, constraint programming, and heuristic approaches. He holds a Ph.D. and has published extensively in journals like OR Spectrum, International Journal of Production Research, and European Journal of Operational Research. His work addresses complex operational challenges such as dynamic pricing mechanisms, inventory control in fluctuating environments, and optimization of manufacturing systems. Teaching includes courses like MGMT 201 (Introduction to Management) and OPIM 611 (Modeling in Operations Management). No scientific awards or grants are explicitly mentioned in the provided materials. He advises no listed students, and no lab affiliations are noted.

Raha Akhavanمشاهده پروفایل

استاد

• Stochastic Modeling
• Health and Humanitarian Logistics
• Medical Decision Making
• +۳ مورد دیگر

Raha Akhavan is a **Professor of Operations Management & Business Analytics** at the Sabanci School of Management, Sabanci University (Nov 2021–present). Previously, she served as Associate Professor at the same institution (2016–2021) and at Universidad de los Andes in Colombia (2014–2016), with earlier roles as an Assistant Professor (2009–2014) and a Senior Industrial Engineer at Intel Corporation (2006–2009). Education: Ph.D., Industrial and Systems Engineering, North Carolina State University (May 2011) M.Sc., Industrial and Systems Engineering (Operations Research co-major), North Carolina State University (August 2005) B.Sc., Industrial Engineering, Sharif University of Technology (December 2001) Research Interests : Stochastic modeling applied to health and humanitarian logistics, medical decision making, revenue management, vehicle routing problems, and manufacturing systems. Her work bridges theoretical operations research with practical applications in healthcare, disaster management, and environmental science. Publications : Over 30 peer-reviewed articles in top journals like Decision Analysis , Information Systems Research , and European Journal of Operational Research , focusing on dynamic policies for healthcare crises, disaster risk management, and optimization frameworks for logistics and infrastructure systems. Awards & Memberships : Member of INFORMS, IISE, IEEE, and ASQ. No specific awards listed, but her extensive publication record reflects recognition in her field. Grants & Labs : Active in collaborative projects involving disaster response, urban air quality modeling, and healthcare logistics. No specific grant details provided.

Emre Berkمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Management
• Inventory Control
• +۴ مورد دیگر

Emre Berk is a Professor at Bilkent University's Faculty of Business Administration, specializing in Operations Management. He holds a PhD in Operations Management from the University of Washington and has taught at institutions such as MIT at Zaragoza and Texas A&M. His research focuses on perishable inventory control, supply chain dynamics, and sustainable operations. Berk has been funded by NSF and TÜBİTAK, with publications in top journals like Management Science and Operations Research. He currently serves as an Associate Editor for IISE Transactions. Education: B.S. in Mechanical Engineering, Bogazici University M.S. in Mechanical Engineering, Washington State University (Fulbright Scholar) MBA and PhD in Operations Management, University of Washington Research Interests: Revenue Management Supply Chain Strategy Perishable Inventory Systems Information-Driven Inventory Policies Carbon Economies Optimization of Decentralized Systems His recent work explores inventory systems under uncertainty, sustainability in operations, and disruption resilience. Over 30 peer-reviewed articles highlight his contributions to inventory theory, stochastic modeling, and supply chain economics. Grants & Funding: NSF (National Science Foundation) TÜBİTAK (Turkish Scientific Council)

Çağın Araratمشاهده پروفایل

دانشیار

• Financial Mathematics
• Stochastic Analysis
• Optimization
• +۱ مورد دیگر

Çağın Ararat is an Associate Professor in the Department of Industrial Engineering at the Faculty of Engineering, Bilkent University, Ankara, Turkey. His research focuses on financial mathematics, stochastic analysis, optimization, and machine learning, with particular interest in multivariate risk measures and set-valued analysis. He received his education from the following institutions: PhD in Operations Research and Financial Engineering from Princeton University (2015), advised by Birgit Rudloff. Dissertation: "On set-valued functionals: multivariate risk measures and Aumann integrals". MA in Operations Research and Financial Engineering from Princeton University (2012). BSc in Industrial Engineering from Bilkent University (2010), Summa Cum Laude. High School from İzmir High School of Science (2006). Ararat's research spans several areas in applied mathematics and financial engineering. In Financial Mathematics , he investigates risk measures, multivariate risk, set-valued risk measures, systemic risk, and dynamic risk measures. His work in Stochastic Analysis includes set-valued stochastic analysis, set-valued martingales, Aumann integrals, stochastic differential inclusions, and backward stochastic differential equations. In the field of Optimization , he focuses on set-valued convex analysis, set optimization, vector optimization, risk-averse stochastic optimization, and quasiconvex functions. Additionally, he has interests in Machine Learning , particularly in black-box vector optimization, Pareto front identification, Gaussian processes, and the multi-objective bandit problem. His notable scientific awards include: Fulbright Scholar (2022-2023) at the University of Southern California. Ararat has advised numerous graduate students, including 12 Master's and 1 PhD student to completion, with several current Master's students. His research has been supported by grants from the Turkish National Science Foundation (TÜBİTAK), including the National Young Researchers Career Development Program (3501 - CAREER) from 2018 to 2021 and the Scientific and Technological Research Projects Support Program (1001) from 2024 to 2026.

N. Ziya Perdahçıمشاهده پروفایل

دانشیار

• Network Science
• Social Network Analysis
• Data Analytics
• +۳ مورد دیگر

N. Ziya Perdahçı is an Associate Professor at Bogazici University, specializing in Management Information Systems . His research focuses on network science applied to social, educational, and business contexts, including stochastic block models, customer segmentation, and digital platform analysis. He teaches courses in programming, databases, and business application development. Education: Undergraduate: Bogazici University, Physics M.A.: Bogazici University, Physics Ph.D.: Bogazici University, Physics Research Interests: Stochastic Block Models Statistical Social Network Analysis Customer/Product Segmentation Technology Adoption Users’ Interconnectedness Analytics Social Network Correlations Patents: Electricity generation device (TR 2007 07104B, 2007) Ceramic sliced helical heater (24466, 1990) His recent work explores digitalization in art (NFTs, Metaverse), technology acceptance models for website analysis, and co-purchase behavior in e-commerce. He has published extensively on network-based theories in education, healthcare, and cloud computing environments. He collaborates frequently with Mehmet Nafiz Aydin and Kenan Kafkas on interdisciplinary projects combining physics principles with information systems research. His book chapters cover metadata action networks and big data analytics frameworks.

Nuh Aygünمشاهده پروفایل

استادیار

• Game Theory
• Economics of Information
• Repeated Games and Reputation
• +۱ مورد دیگر

Nuh Aygün is an Assistant Professor at Bilkent University . His research focuses on Game Theory , Economics of Information , Repeated Games and Reputation , and Decision Theory . PhD : Managerial Economics and Strategy, Kellogg School of Management, Northwestern University (2012) MA : Economics, Sabanci University (2006) BSc : Mathematics, Middle East Technical University (2004) BSc : Economics, Middle East Technical University (2004) Aygün’s research explores theoretical foundations in economics and game theory. He has published extensively on topics like behavioral implementation , incomplete information , and reputation dynamics , often in collaboration with leading scholars such as Mehmet Barlo and Serdar Yuksel. His recent publications (2022–2023) focus on mechanism design under incomplete information , computational implementation , and game-theoretic models of freelancing under adverse selection . Earlier works span stochastic control in reputation games , utility representations , and epsilon-Nash implementation .

Özgür Kabakمشاهده پروفایل

استاد

• Multi-criteria Decision Making
• Operations Research
• Modeling and Optimization
• +۳ مورد دیگر

Prof. Özgür Kabak is a Professor of Industrial Engineering at Istanbul Technical University, with affiliations in both the Department of Industrial Engineering and Department of Business Administration. He holds a PhD in Industrial Engineering from Istanbul Technical University (2008) and has served in academic roles since 2001. His research focuses on multi-criteria decision making, operations research, and optimization methodologies. Education: PhD in Industrial Engineering, Istanbul Technical University (2004–2008) MSc in Industrial Engineering, Istanbul Technical University (2001–2003) BSc in Industrial Engineering, Istanbul Technical University (1997–2001) Research Interests: Multi-criteria decision analysis and group decision-making frameworks Optimization models in transportation, logistics, and supply chain management Data-driven approaches for sustainability and risk assessment Applications of fuzzy logic and belief degree theory in decision support systems Recent work trends include: Integration of deep learning with optimization techniques Risk assessment and resource allocation for forest fire management Large-scale scheduling challenges in petrochemical and airline industries Methodological advancements in project portfolio selection Key projects: Feldspar Blending Optimization (TÜBİTAK-funded, 2023) Crude Oil Process Optimization (TÜPRAŞ collaboration, 2021–2022) Warehouse Process Improvement for Automotive Parts (2017–2019) Decision support systems for automotive industry failures (TOFAŞ collaboration) Labs/Teams: Active in developing decision support systems and optimization models through collaborative projects with private and public institutions.

Barış Yıldızمشاهده پروفایل

استادیار

• Urban Mobility
• City Logistics
• Network Design and Optimization
• +۹ مورد دیگر

Barış Yıldız is an Assistant Professor in the Department of Industrial Engineering at Koç University, where he focuses on network design and optimization in transportation systems. His work addresses urban mobility, autonomous vehicles, and logistics challenges, emphasizing sustainable and efficient solutions. He leads projects funded by the European Research Council (ERC) and TÜBİTAK, including initiatives on crowdshipping, social aid distribution, and shared transportation networks. Research Interests: Urban logistics, autonomous and electric vehicles, optimization algorithms, machine learning applications in transportation, and multi-modal network design. His projects often integrate public transit systems to enhance delivery efficiency and reduce environmental impact. Key Projects: GoodMobility (ERC STG 2022) : Developing a network-centric logistics framework prioritizing public value over traditional business models. Social Aid Distribution Network (TÜBİTAK 1001) : Leveraging public transit for efficient in-kind donation delivery via volunteer couriers. Shared Network Design (TÜBİTAK 3502) : Optimizing shared transportation networks to reduce costs and emissions in urban logistics. Publications span transportation optimization, drone routing, electric vehicle infrastructure, and algorithmic innovation in logistics. His work is published in top journals like Transportation Research Part C and Operations Research .

Orhan Torulمشاهده پروفایل

دانشیار

• Macroeconomics
• Economic Inequality
• Political Economy
• +۳ مورد دیگر

Orhan Torul is an Associate Professor of Economics at Boğaziçi University in Istanbul, Turkey. He holds a Ph.D. in Economics from the University of Maryland (2013) and has held academic positions at institutions including the University of Chicago and the University of Oslo. His research focuses on macroeconomics, economic inequality, political economy, and public policy, with notable work on intergenerational mobility, fiscal policy, and the distributional consequences of economic policies. Torul has been recognized with prestigious awards such as the Boğaziçi University Outstanding Achievement in Research Award (2023) and the Science Academy Young Scientists Award (BAGEP, 2023). Education includes a B.S. in Business Administration from Middle East Technical University (2006), M.A. degrees from Boğaziçi University (2009) and the University of Maryland (2011), and a Ph.D. from the University of Maryland (2013). His research has been supported by grants including Boğaziçi University BAP projects and TÜBİTAK funding. Torul has also served as Vice Chair of the Department of Economics and Director of the Center for Economics and Econometrics at Boğaziçi University. His research interests emphasize policy-relevant studies on income inequality, political economy dynamics, and institutional design. Recent work examines Turkey's economic inequality trends (2002-2022), intergenerational educational mobility, and the implications of informal economic sectors for public finance. Torul's publications span journals and conferences, addressing topics from electoral probabilities to experimental economics. Professional highlights include a Fulbright Visiting Scholars Program fellowship (2021-2022) at the University of Chicago and participation in the Lindau Nobel Laureate Meetings (2014). He contributes to both Turkish and international academic communities through teaching, research, and policy engagement.