Find Academic Supervisors

• Supply Chain Management
• Modeling and Optimization
• Production and Service Systems Management
• +3 more

Prof. Şule Itır Satoğlu is a faculty member in the Department of Industrial Engineering at Istanbul Technical University, holding the rank of Professor since 2019. She has held multiple administrative roles, including Head of Department (2025–present), Vice Rector (2020–2024), and Vice Dean (2018–2020). Her research focuses on supply chain management, optimization, sustainable operations, and disaster response systems. She has a PhD in Industrial Engineering from Istanbul Technical University (2008), an MSc in Engineering Management (2002), and a BSc in Mechanical Engineering (2000). Her work emphasizes practical applications of optimization techniques in logistics, healthcare, and disaster management. Notable contributions include developing models for blood supply chains under uncertainty, UAV-based waste detection, and sustainable urban transport fleet electrification. She has collaborated on projects funded by public and private sectors, addressing issues like lean manufacturing integration with Industry 4.0 and RFID-enabled maintenance systems. Her publications span over two decades, with recent focus on multi-objective optimization in humanitarian logistics, smart waste collection systems, and energy-efficient drone surveillance. She is a member of the TMMOB Chamber of Mechanical Engineers and actively contributes to national technology initiatives through academic leadership roles.

Deniz AksenView profile

Professor

• Operations Research
• Logistics
• Vehicle Routing Problems
• +3 more

Deniz Aksen is a Professor in the Department of Business - Operations Management and Information Systems at Koç University's College of Administrative Sciences and Economics. His research focuses on optimization problems in logistics, supply chain management, and facility location, with particular expertise in vehicle routing problems and interdiction models. Education: PhD in Operations Research from Purdue University (2003) Master's Degree in Industrial Engineering from Boğaziçi University (1996) Bachelor's Degree in Industrial Engineering from Boğaziçi University (1994) Professor Aksen's research centers on combinatorial optimization with applications in logistics and supply chain management. His work spans vehicle routing problems , facility location , interdiction models , and metaheuristic solution methods . He has made significant contributions to the understanding of r-interdiction problems where facilities must be protected against potential attacks, and has applied his methods to practical contexts including election logistics and waste collection systems . His approach often combines mathematical modeling with innovative heuristic and metaheuristic techniques to solve complex optimization problems that arise in real-world settings. Analysis of Professor Aksen's recent publications reveals a strong focus on bilevel and trilevel optimization models applied to security and logistics problems. His work frequently addresses the interdiction theme - studying how to optimally protect facilities against potential attacks or disruptions. The research shows increasing sophistication in modeling approaches, moving from basic vehicle routing problems to complex multi-level decision frameworks that incorporate protection and interdiction considerations. His applications span diverse domains including election logistics, waste management, and critical infrastructure protection, demonstrating the versatility of his methodological contributions to operations research. Professional Activities: Member of editorial boards for operations research journals Reviewer for leading journals in operations research and management science Active participant in international conferences on optimization and logistics

Faruk PolatView profile

Professor

• Artificial Intelligence
• Reinforcement Learning
• Multiagent Systems
• +6 more

Faruk Polat is a Professor of Computer Science at the Department of Computer Engineering, College of Engineering, Middle East Technical University (METU) in Ankara, Turkey. He has been serving at METU since 1994, progressing from Assistant Professor (1994-1996) to Associate Professor (1996-2002) and then to full Professor (2002-present). He received his B.S. in Computer Engineering from METU in 1987, followed by M.S. and Ph.D. degrees from Bilkent University in 1989 and 1994 respectively, with a visiting scholar period at the University of Minnesota (1992-1993). His primary research interests include Artificial Intelligence, Reinforcement Learning, Multiagent Systems, Markov Decision Processes, and Partially Observable Markov Decision Processes. His work significantly contributes to computational biology applications, particularly in gene regulatory network modeling, and to multiagent path finding in virtual simulations and computer games. He has published extensively in top-tier journals and conferences, with recent publications extending into 2025. Professor Polat has supervised numerous graduate students who have gone on to successful careers in academia and industry, including positions at Meta, Google, Apple, Microsoft, and various universities. His research group continues to be highly active, with current PhD students working on reinforcement learning, multiagent path planning, and gene regulatory networks. His scientific contributions span multiple domains, with a clear trajectory from foundational work in multiagent systems to increasingly sophisticated applications in computational biology and autonomous systems. His recent publications indicate continued innovation in reinforcement learning techniques, particularly in handling partial observability and complex path planning problems. NATO Science Scholar at University of Minnesota (1992-1993) Member and Team Leader/Deputy Team Leader of National Informatics Olympiad Group (1995-2011) Professor Polat has advised numerous PhD and Master's students who have secured positions at leading technology companies and academic institutions worldwide. His research has been supported by grants including Tubitak 1001 Project (Grant No. 115G086). His work bridges theoretical advances in artificial intelligence with practical applications in computational biology and autonomous systems.

• Modeling and Optimization
• Supply Chain Management
• Operations Research
• +3 more

Assoc. Prof. Dr. Barış Keçeci is an Associate Professor in the Industrial Engineering program at Başkent University. He earned his PhD in Industrial Engineering from Gazi University (2014), Master's Degree from Başkent University (2008), and BSc from Gazi University (2002). Research interests include Modeling and Optimization, Supply Chain Management, Operations Research, Decision Science, and Multi-Criteria Decision Making, with a focus on logistics and transportation systems. His work often integrates advanced algorithms like fuzzy logic and neural networks for solving complex optimization problems. Recent publications emphasize variants of the Traveling Salesman Problem (e.g., with hotel selection, clustered trips), vehicle routing with simultaneous pickup/delivery, and applications of hesitant fuzzy models. These studies span sectors like defense industry, tourism, and shared mobility systems. Advising includes Master's theses on topics such as pandemic-era educational quality, intelligent transportation systems, and ERP software selection. Notable advisees include Neslişah Albayrak Melis Boran Cemal Aykut Gencel Nelişah Albayrak İpek Damla Akpinar Pelin Akyıl Kurt

Fahrettin ÇakırView profile

Assistant Professor

• Managerial Sciences
• Operations Research
• Business Analytics
• +3 more

Fahrettin Çakır is an Assistant Professor at Boğaziçi University , where he teaches courses in management and operations research. His academic background includes a double undergraduate degree in Economics and Mathematics from Boğaziçi University, followed by a Master's and Ph.D. in Economics and Business Administration from The University of Iowa. MIS 113 - Principles of Management MIS 128 - Managerial Communication His research focuses on Managerial Sciences , Operations Research , and Business Analytics , with a particular emphasis on predictive modeling in the Orienteering Problem with Stochastic Profits and routing optimization. He has also explored Islamic Economics through studies on interest-free rotating savings and credit associations (ROSCA) in Turkey. Recent publications highlight his work on AI applications in corporate social responsibility analysis, stochastic routing strategies, and simulation-based model evaluation. These studies span interdisciplinary domains such as organizational behavior, environmental sustainability in airport operations, and computational finance.

Süleyman MeteView profile

Associate Professor

• Operations Research
• Modeling and Optimization
• Multi-criteria Decision Making
• +4 more

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.

• Computer Networks
• Wireless Communication
• Unmanned Aerial Vehicles (UAVs)
• +3 more

Talip Tolga Sarı is a Research Assistant at the Department of Computer Engineering , Istanbul Technical University , where he has been affiliated since 2019. He holds a PhD in Computer Engineering (2021), a Master's in Computer Engineering (2018), and dual Bachelor's degrees in Computer Engineering and Electronics & Communication Engineering (2015). Education PhD in Computer Engineering, Istanbul Technical University (2021) Master's in Computer Engineering (2018) Bachelor's in Computer Engineering (2015) Bachelor's in Electronics & Communication Engineering (2015) Research interests span Computer Networks , Wireless Communication , and Unmanned Aerial Vehicles (UAVs) , with a focus on semantic communication , UWB localization , and topology control for resilient networks. His recent publications address UAV swarm coordination , smart campus frameworks , and assisted localization systems , reflecting interdisciplinary applications of computer science in real-world problems. Key trends in his 15 most recent articles include decentralized UAV networks, semantic communication architectures, and UWB-based indoor positioning. His work combines machine learning, cross-layer routing, and software-defined networking paradigms, with citations spanning Computer Science , Robotics , and Network Security . Awards : Highest Performance Award, Istanbul Technical University (2025)

• Operations Research
• Fuzzy Logic
• Modeling and Optimization
• +3 more

Assistant Professor Tusan Derya is affiliated with Başkent University in the College of Engineering , Industrial Engineering Department . Their research focuses on Operations Research Fuzzy Logic Modeling and Optimization with applications in routing problems and logistics. Their recent publications address variations of the Traveling Salesman Problem (2020-2024), Team Orienteering (2016), and Vehicle Routing (2011) using Mixed-Integer Programming and Fuzzy Logic approaches. They have contributed to Portfolio Optimization models (2024) and Autonomous Distribution Systems (2024).

• Operations Research
• Supply Chain Management
• Mathematical Optimization
• +3 more

Gözde Önder is an Assistant Professor in the Industrial Engineering Department at Başkent University, Ankara. Her academic profile indicates active engagement in operations research with focus on complex optimization problems relevant to transportation and logistics systems. Contact information shows affiliation with the Industrial Engineering Program through university email send@baskent.edu.tr and phone extension 4016. Her research interests concentrate on Operations Research , Supply Chain Management , and Mathematical Optimization with specific emphasis on time-constrained routing problems. Current investigations prominently feature traveling repairman problems, vehicle routing with time windows, and multi-depot optimization systems. Methodologically, she employs integer programming, biogeography-based metaheuristics, and combinatorial optimization techniques to address NP-hard problems in service scheduling and transportation networks. Analysis of her publication timeline reveals consistent scholarly output from 2015 through 2025, with increasing focus on time-window constrained systems and multi-depot extensions of classical routing problems. Her work demonstrates strong collaboration with Prof. İmdat Kara and other researchers at Turkish institutions, primarily published in operations research conferences and journals including Transportation Research Procedia and Journal of the Faculty of Engineering and Architecture of Gazi University. Teaching responsibilities include core industrial engineering courses: OLASILIK VE İSTATİSTİĞE GİRİŞ (Introduction to Probability and Statistics) TEDARİK ZİNCİRİ YÖNETİMİ (Supply Chain Management) YÖNEYLEM ARAŞTIRMASI I & II (Operations Research I & II) İSTATİSTİKSEL ANALİZ (Statistical Analysis) LOJİSTİK YÖNETİMİ (Logistics Management) Professional activities include serving as a reviewer for Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi (Gazi University Journal of Engineering and Architecture) in 2023, indicating active participation in academic quality assurance processes within her field.

• Operations Research
• Combinatorial Optimization
• Vehicle Routing Problems
• +5 more

Prof. TEMEL ÖNCAN is a Professor of Industrial Engineering at Galatasaray University's Faculty of Engineering and Technology, specializing in Operations Research. He has been serving in this position since 2016, after previously holding the ranks of Associate Professor (2009-2015) and Assistant Professor (2006-2009) at the same institution. His academic journey began with a Doctorate from Bogazici University's Department of Industrial Engineering (1998-2004), following a Postgraduate degree from the same institution (1996-1998). His educational background includes: Doctorate (1998-2004) from Bogazici University, Faculty of Engineering, Department of Industrial Engineering Postgraduate (1996-1998) from Bogazici University, Faculty of Engineering, Department of Industrial Engineering Prof. Öncan's research interests span Operations Research, Combinatorial Optimization, Vehicle Routing Problems, Facility Location Problems, Assignment Problems, Network Design, Warehouse Management, and Scheduling. His work has resulted in numerous publications in prestigious journals such as European Journal of Operational Research, Networks, and Annals of Operations Research. His recent research focuses on conflict-constrained optimization problems, facility location models, and warehouse management systems, demonstrating consistent contributions to theoretical and applied aspects of Operations Research. His publication trends show a strong focus on combinatorial optimization problems with practical applications in logistics, transportation, and supply chain management. Many of his recent works address complex variants of classical optimization problems with additional constraints that better reflect real-world scenarios. Prof. Öncan has successfully supervised 12 theses across various topics in Operations Research and has led numerous research projects funded by TUBITAK and higher education institutions. His projects have focused on conflict-constrained optimization problems, facility location models, and warehouse management systems. He has held significant managerial roles, including University Executive Board Member at Galatasaray University's Continuing Education Application and Research Center since 2012. His international experience includes postdoctoral research at the University of Montreal (2005-2006), University of New Brunswick (2005), and a visiting lecturer position at Columbia University (2004-2005).

Necati ARASView profile

Professor

• Inventory Control
• Product Recovery Network Design
• Reverse Logistics Management
• +7 more

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.

Emre ÇANKAYAView profile

Assistant Professor

• Optimization
• Health and Disaster Logistics
• Production and Inventory Planning
• +3 more

Dr. Emre ÇANKAYA serves as an Assistant Professor in the Department of Industrial Engineering at Doğuş University's Faculty of Engineering, specializing in mathematical optimization and logistics systems. His academic journey spans doctoral research at Özyeğin University and professional experience at TÜBİTAK/TÜSSİDE. His educational credentials include: Ph.D. in Industrial Engineering, Özyeğin University (2022) Master's in Industrial Engineering, Özyeğin University (2017) Bachelor's in Industrial Engineering, Özyeğin University (2013) ÇANKAYA's research integrates mathematical modeling with practical applications in high-stakes domains. His work bridges theoretical optimization techniques and real-world implementation challenges, particularly in disaster response systems and industrial production environments. Methodologically, he specializes in developing heuristic algorithms for NP-hard problems while maintaining computational efficiency. Publication analysis reveals a consistent focus on combinatorial optimization with dual applications: manufacturing processes (label printing logistics) and humanitarian operations (disaster relief). His research demonstrates sophisticated adaptation of inventory routing frameworks to volatile environments, showing particular innovation in multi-phase heuristic development for time-sensitive supply chains. Teaching responsibilities encompass core industrial engineering subjects including Simulation Modeling, Supply Chain Management, and Operations Research, delivered primarily in English to international student cohorts. His industry experience at Kumport Port Services informs practical case studies in transportation network design.

• Econometrics
• Operational Research
• Statistics
• +7 more

Prof. Tuba Yakıcı Ayan is a Professor of Econometrics at Karadeniz Technical University (KTU), Faculty of Economics and Administrative Sciences, where she has served since 1994. She currently acts as Deputy Head of the Department of Econometrics and coordinates both the Erasmus and Farabi exchange programmes for her faculty. Education Doctorate (1997–1999) – Atatürk University, Business Administration (Quantitative Methods) Postgraduate (1988–1990) – Karadeniz Technical University, Business Administration Undergraduate (1981–1986) – Istanbul Technical University, Business Engineering Undergraduate (1989–1992) – Karadeniz Technical University, Civil Engineering Research Interests Her scholarly work centres on econometrics , operational research and statistics , with particular emphasis on fuzzy decision-making models , efficiency and performance analysis , transportation optimisation , financial risk modelling , and energy-economic policy evaluation . A recurring theme is the application of advanced quantitative and artificial-intelligence techniques to socio-economic and managerial problems. Publication Trends Across more than thirty-nine refereed articles (2002-2024), a clear evolution emerges: early studies focused on Turkish banking efficiency and export performance; recent contributions integrate fuzzy logic, neural networks and gravity models into tourism demand, health-system benchmarking, sovereign credit rating, and sustainable-development assessments. Scientific Awards & Recognition Editorial board member and frequent reviewer for several SSCI/SCI journals (e.g., American Journal of Operations Research, Uluslararası İktisadi ve İdari İncelemeler Dergisi) Organiser and scientific committee member of 18th International Symposium on Econometrics, Operations Research and Statistics (2017) Advising & Grants Prof. Yakıcı Ayan has supervised five completed theses (one PhD and four master’s) on topics ranging from public-transport route optimisation to adaptive neuro-fuzzy credit-rating systems. She has participated in one funded TÜBİTAK-supported symposium project and regularly mentors students within the Erasmus and Farabi mobility programmes. Laboratories & Teams While no dedicated laboratory is listed, she actively leads the research group on quantitative methods within the Department of Econometrics, collaborates with colleagues across Turkey and Europe on multi-criteria decision-making projects, and supports data-driven policy analysis for regional development agencies.

Elvin ÇobanView profile

Associate Professor

• Healthcare and Humanitarian Operations
• Optimization
• Service Systems
• +3 more

Elvin Çoban serves as Associate Professor and Chair of the Industrial Engineering Department within Ozyegin University's Faculty of Engineering, specializing in optimization applications for healthcare systems, humanitarian logistics, and service operations. Her research bridges theoretical operations research with real-world implementation in critical infrastructure domains. Education Background: PhD in Operations Management and Manufacturing, Carnegie Mellon University (2012) MS in Operations Management and Manufacturing, Carnegie Mellon University (2010) MS in Industrial Engineering, Sabanci University (2008) BS in Manufacturing Systems Engineering, Sabanci University (2006) Dr. Çoban's research program focuses on developing mathematical models for complex decision-making under uncertainty, with significant contributions to disaster response logistics using drone technology and healthcare operations management. Her work integrates machine learning with combinatorial optimization to solve scheduling problems in medical facilities and vaccine distribution networks, while also exploring energy systems through electric vehicle charging infrastructure modeling. Current projects emphasize predictive analytics for post-disaster damage assessment and resource allocation during pandemics. Analysis of her 15 most recent publications (2019-2024) reveals three dominant research thrusts: (1) humanitarian logistics (35% of output), particularly drone routing for disaster assessment; (2) healthcare operations (50%), including operating room scheduling and vaccine distribution; and (3) energy systems (15%), focused on electric vehicle infrastructure optimization. Methodologically, her work combines stochastic programming, metaheuristics, and machine learning to address data-scarce environments. Research Funding and Advisory: Principal Investigator for TUBITAK 1001 project (2021-2024): Information Gathering and Damage Prediction for Post-Disaster Drone Assessment Researcher for TUBITAK 3501 project (2013-2016): Blood Supply Chain Optimization Consultant for TEA Networks (2018-2021) and TUBITAK 1507 workforce management project (2014-2016) Advises three graduate students: Kian Farajkhah (PhD candidate), Birce Adsanver (MSc 2020), and Gulsah Alper (MSc 2015) on optimization applications in disaster response and healthcare She leads an active research group at Ozyegin University that collaborates with government agencies and industry partners on projects involving real-time decision support systems. Current initiatives focus on integrating real-world constraints into optimization models for medical logistics and developing scalable algorithms for drone-based disaster assessment networks, with ongoing recruitment for TUBITAK-funded humanitarian logistics research positions.

• Applied Optimization
• Metaheuristic Approaches
• Transportation and Logistics Systems
• +5 more

Mahir Yıldırım is an Assistant Professor in the Department of Industrial Engineering at the Faculty of Engineering and Natural Sciences, Istanbul Bilgi University. He holds a PhD in Industrial Engineering from Sabancı University and has held postdoctoral positions at Eindhoven University of Technology and Sabancı University. He currently serves as Vice Head of the Department of Industrial Engineering and previously served as Vice Dean of the Faculty of Engineering and Natural Sciences (2018–2019). Education: PhD, Industrial Engineering, Sabancı University, 2014 MS, Industrial Engineering, Sabancı University, 2008 BS, Industrial Engineering, Istanbul Technical University, 2006 Postdoctoral Researcher, Eindhoven University of Technology, 2015–2016 Postdoctoral Researcher, Sabancı University, 2014–2015 His research focuses on applied optimization , metaheuristic algorithms , and transportation and logistics systems . He develops advanced computational methods for vehicle routing, bin packing, and time-dependent network optimization, with applications in sustainable logistics and industrial automation. His work bridges theoretical algorithm design and real-world implementation in intelligent transportation and production systems. The recent publications show a strong trend in hybrid optimization techniques , combining metaheuristics like ant colony optimization with mathematical programming (matheuristics), applied to complex logistics problems. His work increasingly integrates real-time data and network dynamics, particularly in transportation systems, while maintaining a focus on multi-objective and sustainable design. Scientific Awards and Honors: TÜBİTAK 2219 Postdoctoral Fellowship (2015–2016) TÜBİTAK 2214-A Doctoral Research Fellowship (2014) Sabancı University Faculty of Engineering Excellence in Teaching Award (2012–2013) Sabancı University Full Doctoral Scholarship (2009–2014) TÜBİTAK 2209 Master’s Fellowship (2006–2008) Sabancı University Full Master’s Scholarship (2006–2008) Dr. Yıldırım has advised both PhD and MSc students, contributing to academic development in optimization and logistics. His research has been supported by national grants from TÜBİTAK and institutional scholarships. He actively contributes to academic service through administrative roles and curriculum development in industrial engineering education. He teaches courses such as Metaheuristic Approaches in Optimization, Facilities Design and Planning, and Production Systems, aligning closely with his research expertise. While no formal lab is mentioned, his collaborative work with researchers like Bülent Çatay and Vildan Özkır suggests strong research team involvement in optimization and logistics projects.