Find Academic Supervisors

• Structural Engineering
• Earthquake Engineering
• Composite Materials
• +3 more

Osman Kaya is a Professor in the Department of Civil Engineering at Muğla Sıtkı Koçman University's Faculty of Engineering, Turkey. He has extensive experience in structural engineering, earthquake engineering, and composite materials for retrofitting applications. His educational background includes a PhD in Civil Engineering from Boğaziçi University (2010), with prior degrees from Boğaziçi University (MS, 2003) and Pamukkale University (BS, 1998). Education : PhD (Boğaziçi University, 2010), MS (Boğaziçi University, 2003), BS (Pamukkale University, 1998). Dr. Kaya's research focuses on seismic retrofitting of concrete structures using composite materials (CFRP), torsion analysis of reinforced concrete members, structural rehabilitation techniques, and earthquake resilience. His work includes analytical and experimental studies on beam-column joints, full-scale testing of concrete beams, and FRP-based reinforcement systems. His recent publications (2003-2025) emphasize composite retrofitting solutions, epoxy repair methodologies, torsion behavior in concrete beams, and seismic upgrading of existing structures. Key trends include CFRP sheets for shear-deficient joints and columns, chemical epoxy for joint rehabilitation, and full-scale experimental testing. Scientific Awards : Not explicitly mentioned. Dr. Kaya has supervised 6 graduate theses on topics like base isolation systems, torsion testing, and steel fiber applications in concrete. He has led 2 research projects funded by higher education institutions and participated in TÜBİTAK and other initiatives. He teaches advanced courses in structural analysis, reinforced concrete, and composite systems.

• Solid Body Mechanics
• Structural Dynamics
• Numerical Modeling
• +3 more

Bahattin Kimençe is a Lecturer in the Civil Engineering Department at Istanbul Technical University (ITU). He holds a PhD in Civil Engineering from ITU (1993–1997), an MSc in Structural Engineering (1985–1989), and a BSc in Civil Engineering (1982–1986). His research focuses on Solid Body Mechanics, Structural Dynamics, and Numerical Modeling with applications to masonry structures, seismic performance, and anisotropic material behavior. He has been a member of the Chamber of Civil Engineers from 1987 to 2018. Education: PhD in Civil Engineering, Istanbul Technical University (1993–1997) MSc in Structural Engineering, Istanbul Technical University (1985–1989) BSc in Civil Engineering, Istanbul Technical University (1982–1986) His research interests emphasize the analysis of masonry structures, mortar thickness effects, seismic performance of multi-story steel buildings, and tunnel-structure interactions. His work combines numerical methods like the Boundary Element Method with anisotropic modeling to assess structural integrity and dynamic behavior. He has published extensively on topics such as historical building preservation, load distribution irregularities in multi-story systems, and soil-structure interaction for foundations. His articles consistently explore structural dynamics, material behavior under stress, and innovative numerical techniques. Recent trends focus on earthquake-resistant design and historical masonry preservation through advanced modeling. He has contributed to understanding geometric and load asymmetries in buildings and optimizing container structures over variable soil conditions. Notable Activities: Doctorate Lecturer in Disaster Management (Master’s Program) at ITU since 2024 Academic duties spanning over three decades at ITU No scientific awards were explicitly mentioned in the provided information. His work involves advising students in structural engineering and disaster management, though specific grants or lab affiliations were not detailed.

Feridun BoyluView profile

Professor

• Mineral Processing
• Coal Technology
• Industrial Raw Materials
• +3 more

Prof. Feridun Boylu is a Professor in the Department of Mineral Processing Engineering at Istanbul Technical University (ITU), affiliated with the Faculty of Mines. His research focuses on mineral processing techniques, coal technology, and industrial raw materials. He holds a PhD in Ore Coal Preparation and Evaluation from ITU and has extensive experience in academic leadership roles, including Head of Department and Advisor to the Rector at ITU. His work spans over 30 years, with contributions to coal flotation, dense medium cyclones, and bentonite characterization. Prof. Boylu has supervised numerous theses and leads projects funded by national and international grants, including EU initiatives like FineFuture. His research emphasizes sustainable mining practices and advanced separation technologies. Education: PhD (Ore Coal Preparation and Evaluation, ITU, 2004), MSc (Ore Coal Preparation, ITU, 1998), BSc (Mining Engineering, ITU, 1993) Key Roles: Professor at ITU, Former Head of Department (2021–2021), Erasmus Coordinator (2020–present), and International Student Coordinator (2021–present) Research Interests: Chemical-biological recovery techniques, coal water slurries, flotation optimization, and mineral beneficiation. His work addresses challenges in fine particle flotation, coal preparation, and sustainable utilization of industrial raw materials. Recent Projects: Includes the EU-funded FineFuture project (2019–2023) and studies on three-product dense medium cyclones and machine learning for mill liner wear prediction. His research bridges theoretical modeling and industrial applications in mineral processing.

• Data Mining
• Privacy-Preserving Computation
• Artificial Intelligence
• +3 more

Onur KARDEŞ serves as Assistant Professor in the Department of Computer Engineering at Beykent University's Faculty of Engineering and Architecture since 2020. His prior academic appointments include: Research Assistant, Department of Computer Science, Stevens Institute of Technology (2004-2008) Lecturer, Department of Mathematics and Computer Science, Faculty of Arts and Sciences, Beykent University (2000-2004) His research integrates data mining, privacy-preserving computation, and artificial intelligence with practical applications in educational technology and urban systems. Key contributions include developing privacy-enhancing protocols for distributed data mining and pioneering generative AI solutions for automated student assessment and digital teaching assistants. Analysis of his 2023-2025 publications reveals accelerating focus on generative AI implementations, particularly in educational evaluation (automated examination paper analysis) and urban planning (AI-driven smart city frameworks). This evolution demonstrates strategic adaptation to emerging technologies while maintaining core expertise in secure computation and data mining.

• Computer Architecture
• Parallel Algorithms
• Optimization
• +4 more

Betül Boz is an Assistant Professor at the Department of Computer Hardware, Faculty of Engineering, Marmara University. She holds a B.Sc. and M.Sc. in Computer Engineering from Marmara University, and a Ph.D. in Computer Engineering from Boğaziçi University. Her research focuses on computer architecture, optimization, and evolutionary computing. B.Sc., M.Sc., and Ph.D. in Computer Engineering Her research interests include computer architecture, parallel algorithms, optimization techniques, and evolutionary algorithms applied to graph coloring and scheduling. Recent work explores cloud computing scheduling, register allocation, and bioinformatics applications like circRNA-disease prediction. She has published extensively in these areas, utilizing evolutionary computing and machine learning. Key trends in her publications include evolutionary algorithms for graph coloring (2015–2025), register allocation (2004–2024), and cloud computing optimization (2023). She also investigates biomedical applications such as circRNA-disease association prediction. She has advised one thesis, managed one project, and her work aligns with UN Sustainable Development Goals. Her research outputs include 14 WoS-indexed publications, 11 WoS citations, and an h-index of 25 on WoS.

• Quantum Computing
• Quantum Foundations
• Algebraic Topology
• +3 more

Cihan Okay is an Assistant Professor in the Department of Mathematics at Bilkent University. He holds a PhD in Mathematics from the University of British Columbia (2014). His research explores quantum computation using topological and algebraic methods, focusing on quantum contextuality, classical simulation algorithms, and homotopical frameworks. Research interests include quantum foundations, category theory, and classical simulation of quantum systems. Key areas are quantum contextuality as a computational resource, simplicial distributions for modeling quantum phenomena, and optimization of simulation algorithms. His publications bridge quantum computing with topology, emphasizing Bell scenarios, operadic structures, and resource theories. Recent work targets quantum advantage verification and lattice-based simulations. Awards include the BAGEP Young Scientist Award. He leads the project 'Homotopical Quantum Computation' funded by the U.S. Air Force (2024–2029). Okay supervises graduate students in quantum algorithms and topology. His group, Bilkent Quantum Computing and Topology, collaborates internationally and develops computational tools like CNC simulators and simplicial distribution codebases.

Bahattin KoçView profile

Professor

• 3D Bioprinting
• Additive Manufacturing
• Computational Geometry
• +3 more

Prof. Bahattin Koç is a Professor at Sabancı University's Faculty of Engineering and Natural Sciences, coordinating the Manufacturing Engineering Program. He holds a Ph.D. and has extensive experience in academia and industry, including roles at The State University of New York at Buffalo. His research focuses on 3D bioprinting, additive manufacturing, computational geometry, and nanotechnology-driven manufacturing processes. Research Interests: 3D bioprinting for tissue engineering, computational geometry for additive manufacturing, heterogeneous and multi-functional object modeling, nano-micro additive manufacturing, and hybrid manufacturing processes. His work integrates advanced design and manufacturing techniques to address challenges in biomedical and industrial applications. Grants and Funding: Secured significant grants including £815,625 from UK EPSRC (2018-2021), €1.4M from DiCoMI H2020 RISE (2018-2022), and $5M from the Turkish Ministry of Development. Projects include bone defect repair, bioprinting of patient-specific scaffolds, and advanced composite manufacturing. Students and Collaborations: Advised over 30 graduate students and researchers. Notable collaborations include work with Penn State University, University of Buffalo, and industry partners like TUSAS Engine Industries. He is a founding member of Sabancı University's Integrated Manufacturing Center and serves on TÜBİTAK advisory boards. Awards and Recognition: Co-inventor of patents such as the 'Method For Three Dimensional Printing Of Heterogeneous Structures' and 'Resorbable Laminated Repair Film'. Recognized for contributions to biofabrication and manufacturing innovation.

Ahmet Zafer ŞENALPView profile

Professor

• Finite Element Analysis
• Metal Forming
• Plasticity Theory
• +4 more

Prof. Dr. Ahmet Zafer ŞENALP is a Professor at the Department of Mechanical Engineering (English Program) at Doğuş Üniversitesi. He holds a PhD in Mechanical Engineering from ODTÜ (1998) and has extensive experience in CAD/CAM Robotics and metal forming processes. His academic career includes roles at Gebze Yüksek Teknoloji Enstitüsü (1999–2012 as Assistant Professor, promoted to Associate Professor by 2012) and Gebze Teknik Üniversitesi (until his retirement as an Associate Professor in 2019). His research focuses on finite element analysis, metal forming, plasticity theory, and ergonomic design. Education: BSc (1989), MSc (1991), and PhD (1998) in Mechanical Engineering from ODTÜ. He worked at ODTÜ CAD/CAM Robotics Center (1989–1998) and served in the military on the Panter Obüs project (1998–1999). Research Interests: Finite Element Analysis (FEA) applied to biomechanics, pressure vessels, prosthetics, and manufacturing processes. He also explores metal forming techniques, CAD/CAM integration, and material deformation mechanics. Publications span FEA-based studies on human joint forces, pressure vessel buckling, prosthetic design, and manufacturing optimization. His work often bridges computational methods with practical engineering challenges. Teaching includes courses on FEA fundamentals, mechanical vibrations, and design methodologies in both Turkish and English.

• Power Systems
• Smart Grids
• Transient Stability
• +7 more

Cavit Fatih Küçüktezcan is an Assistant Professor in the Department of Electrical Engineering at Istanbul Technical University, College of Engineering. His research focuses on power system security, optimization methods, and smart grid technologies. He actively contributes to advancements in electric vehicle energy systems, battery modeling, and resilience of renewable-rich power grids. Research Interests: His work spans power system dynamic security , preventive and corrective control , heuristic and evolutionary optimization (e.g., differential evolution, mean-variance mapping, genetic algorithms), and the application of machine learning for transient stability prediction. He also investigates electric vehicle battery systems , including optimal cell selection and real-time energy consumption modeling. The publication trends show a shift toward data-driven and AI-enhanced approaches in power systems, especially in modeling cyber-attack impacts and improving grid resilience. His recent articles emphasize practical applications in sustainable transportation and secure grid operation under uncertainty. Scientific Contributions: Developed optimization frameworks for preventive control with search space reduction. Applied mean-variance mapping optimization to enhance dynamic security. Explored machine learning benchmarks for transient stability under cyber threats. Contributed to battery modeling and energy efficiency in electric buses. Advising and Grants: While specific details on students or funded projects are not available in the provided text, his collaborative research patterns suggest active supervision and team-based research in power systems and energy technology. He frequently co-authors with researchers from Istanbul Technical University, indicating strong institutional collaboration. Labs and Teams: Though no specific lab or research group is named, his work aligns with smart grid, energy systems, and optimization research teams within the Department of Electrical Engineering at ITU. His focus on real-time data and cyber-physical systems suggests potential involvement in intelligent grid monitoring and control initiatives.

• Biostatistics
• Statistical Analysis
• Applied Statistics
• +5 more

Professor Ufuk Karadavut serves at Karabük University Faculty of Medicine, Department of Basic Medical Sciences, where he holds the position of Professor and currently serves as Vice Dean. Previously, he was Dean of the Faculty of Medicine from 2021-2022 and has held multiple leadership roles including Head of Department since 2020. With an extensive publication record of 493 works and significant contributions to both medical and agricultural statistics, his career spans multiple Turkish universities including Ahi Evran University and Bingöl University. PhD, Selçuk University, Institute of Science (2001-2005) Bachelor's Degree, Ankara University, Faculty of Agriculture, Department of Animal Science (1987-1991) Professor Karadavut's research spans biostatistics, medical informatics, and agricultural statistics, with particular expertise in statistical experimental design. His work bridges healthcare applications (medical informatics, clinical data analysis) with agricultural science (crop breeding, animal husbandry). He has developed statistical methodologies applicable across diverse fields, from analyzing palliative care outcomes to optimizing chickpea breeding programs for drought tolerance. His research demonstrates a consistent pattern of applying advanced statistical techniques to solve practical problems in both medical and agricultural contexts. Analysis of his recent publications reveals a strong focus on applying statistical methodologies to address contemporary challenges. In medical informatics, he examines healthcare quality, medical education, and pandemic impacts. In agricultural science, his work centers on crop improvement (particularly chickpeas and other legumes) and animal breeding. His statistical approaches include multivariate analysis, QTL mapping, growth modeling, and machine learning techniques, demonstrating methodological versatility across disciplinary boundaries. While specific awards aren't detailed in the available information, his h-index of 11 (UNIS) and 8 (WoS), along with 583 total citations, indicate significant scholarly impact. His research has attracted funding from major Turkish research bodies including TÜBİTAK and university-supported projects. Professor Karadavut has supervised 13 theses across multiple institutions and taught diverse courses ranging from medical bioinformatics to agricultural statistics. His research portfolio includes 31 projects, with recent work focusing on climate change adaptation in livestock, medical informatics applications, and advanced statistical methodologies for agricultural research. He has collaborated extensively with researchers across multiple Turkish institutions, demonstrating strong interdisciplinary networking capabilities.

Mine ÇağlarView profile

Professor

• Probability
• Stochastic Processes

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

Yiğit KarpatView profile

Professor

• Manufacturing Systems
• Precision Manufacturing
• Micro Engineering
• +3 more

Prof. Dr. Yiğit Karpat is a faculty member at Bilkent University with a joint appointment in the Department of Industrial Engineering and Mechanical Engineering. He leads research at the Micro System Design and Manufacturing Center and collaborates with UNAM (National Nanotechnology Center). Ph.D., Industrial Engineering, Rutgers University (2007) M.S., Mechanical Engineering, Middle East Technical University (2000) B.S., Mechanical Engineering, Dokuz Eylul University (1996) His research focuses on precision manufacturing, micro machining, and composite material processing, particularly for CFRP and titanium alloys. Key interests include: Digital twin modeling for machining processes Surface integrity analysis Friction and wear in micro cutting Tool design optimization Additive manufacturing integration Recent publications analyze micro-scale process mechanics and surface integrity in silicon and titanium machining. Current projects funded by TÜBİTAK and TAI include: Development of digital process twin for micro milling (TÜBİTAK 1001, 2024-2026) Ductile mode machining of silicon (TÜBİTAK 1001, 2019-2021) Brittle material machining with nanostructured tools (TÜBİTAK 1001, 2015-2017) He supervises both M.Sc and Ph.D students while serving on multiple TÜBİTAK and defense industry projects.

Okan TopçuView profile

Professor

• Modeling and Simulation
• Distributed Simulation
• Agent-Based Simulation
• +9 more

Professor Okan Topçu is a faculty member in the Department of Computer Engineering at Middle East Technical University, Northern Cyprus Campus (METU NCC), where he serves as Head of the Academic Board of Engineering and Natural Sciences. He holds a Ph.D. and M.S. from Middle East Technical University (Ankara, Turkey, 2007 and 1999 respectively). Education: Ph.D. & M.S. in Computer Engineering from METU Ankara Research Focus: Modeling and simulation, agent-based systems, distributed simulation, cybersecurity, and model-driven engineering

Erdem AnView profile

Professor

• Heat Transfer
• Fluid Mechanics
• Thermal Systems
• +5 more

Prof. Dr. Erdem An serves as a full Professor in the Department of Mechanical Engineering at Yeditepe University's Faculty of Engineering. Holding this position since 2016, he previously advanced from Associate Professor (2008) and Doctoral Lecturer (2006) roles within the same department. His academic foundation includes a PhD (1986-1989) and Master's degree (1985-1986) in Mechanical Engineering from California Institute of Technology, where his doctoral research focused on granular materials and convective heat transfer. Dr. An's research spans Heat Transfer , Fluid Mechanics , and Thermal Systems with specialization in supercritical CO 2 flows, microchannel heat transfer, granular material dynamics, and condensation efficiency. His experimental work frequently investigates microtubes, corrugated channels, and granular flows, yielding significant contributions to refrigeration systems and thermal management applications. Current projects focus on supercritical CO 2 behavior near critical points and energy-efficient drying technologies. Analysis of his 15 most recent publications reveals dominant research themes in microscale thermofluid phenomena (73%), supercritical fluid dynamics (54%), and enhanced heat transfer surfaces (36%). His work demonstrates consistent experimental methodology with increasing computational integration since 2015, particularly in flow orientation effects and buoyancy-driven phenomena. Cassini Recognition Award (NASA) Group Achievement Award (The Aerospace Corporation) Program Recognition Award (The Aerospace Corporation) Four Arçelik Buluşma Günü Innovation Awards (XII-XV) Dr. An has secured substantial research funding including TÜBİTAK 1001 projects (625,845 TL) and multiple San-TEZ industrial collaborations (totaling over 550,000 TL) with Arçelik A.Ş. His administrative leadership includes serving as Department Chair since 2019. He has supervised 13 Master's theses and 4 doctoral dissertations, with current students researching supercritical CO 2 flow characteristics and condensation dynamics. His industrial partnerships have yielded 7 patents related to laundry dryer technology.

• Renewable Energy Systems
• Photovoltaic Power Plants
• Energy Optimization
• +3 more

Ali DURUSU is a researcher at Yıldız Technical University, College of Engineering , with a focus on Renewable Energy Systems and Photovoltaic Power Plants . His work spans techno-economic modeling, energy optimization, and smart grid integration. Research Interests : Solar power plant design, grid integration, energy economics, MPPT algorithms, hybrid systems, and smart grid technologies Advisory : Has advised 25 theses on renewable energy topics Projects : Involved in 15 research initiatives Recent publications emphasize peer-to-peer energy trading, distributed storage, and optimization techniques. He has contributed to 80 WoS-indexed publications with significant citations (H-Index: 8 in WoS, 11 in Scopus) and participated in 43 peer-reviewed conferences.