جست‌وجوی استاد و پژوهشگر

• Algebra
• Number Theory
• Mathematical Logic
• +۴ مورد دیگر

Akın Osman Atagün is a Professor in the Department of Mathematics at Kırşehir Ahi Evran University's Faculty of Arts and Sciences. With a career spanning since 2007, he has held full-time academic roles at Bozok University (2007-2012) and Ahi Evran University (2019-present). His leadership includes serving as Department Head (2022-) and Division Chair (2009-2013, 2020-). Education: PhD in Mathematics, Erciyes University (2006); MSc in Mathematics, Kırıkkale University (2001); BA in Mathematics, Erciyes University (1999). His research focuses on Algebra and Number Theory , Foundations of Mathematics , and Soft Set Theory , particularly in near-rings, fuzzy sets, and decision-making systems. Collaborative work with colleagues has advanced soft group theory, semigroup structures, and computational applications. Recent publications highlight trends in Soft Set Operations , Rough Set Applications , and Decision Systems , including novel characterizations of soft substructures and their use in uncertainty modeling. His work has been cited extensively, with an h-index of 25 (Google Scholar). Scientific Award: Scientific Publication Award, Bozok University (2012). He has supervised 14 thesis students, including PhD and MSc candidates, focusing on topics like Intuitionistic Fuzzy Sets , Soft Vector Spaces , and Decision Algorithms . His projects, such as "A New Approach to Semigroup Theory via Soft Sets" (2013-2014), underscore his contributions to mathematical frameworks.

• Solar Energy
• Thermal Energy Storage
• Computational Fluid Dynamics (CFD)
• +۵ مورد دیگر

Prof. Dr. İlker Tari is a Professor of Mechanical Engineering at FMV Işık University (since 2025) and previously at Middle East Technical University (METU) from 1998 to 2022. He leads solar energy research at METU's GUNAM center and contributes to projects like EU Horizon2020. His work bridges computational modeling and experimental validation in thermal systems. Education: Ph.D., Northeastern University (1998), Mechanical Engineering M.Sc., MIT (1994), Nuclear Engineering M.Sc., University of Michigan (1991), Nuclear Engineering B.Sc., Hacettepe University (1987), Nuclear Energy Engineering Research Focus spans solar energy applications, thermal energy storage, radiative transfer modeling, electronics cooling, and fuel cell systems. Recent work emphasizes phase change materials, fluidized bed storage, and machine learning in spectral models. Publications highlight advancements in photovoltaic cooling, solar hybridization for industries, and CFD-based granular flow analysis. Key trends include sustainable energy systems and computational modeling for heat transfer optimization. Projects: EU H2020 INSHIP (2017-2020) TÜBİTAK Solar Dryer (2017-2020) SFERA-III (2019-2023) SolarTwins (2020-2023) ECOSun Solar (2020-2023) InnoSolPower (2021-2024) Academic Leadership includes roles as Secretary-General of the International Centre for Heat and Mass Transfer (2019) and board member at METU's ENDAM center. He has supervised over 30 theses and teaches courses in thermodynamics, heat transfer, and solar energy.

• Engineering
• Electrical-Electronics Engineering
• Control Theory and Applications

Ali Murat Değirmenci is a Full Time Research Assistant at the Electrical and Electronics Engineering Department, Faculty of Engineering and Natural Sciences, Işık University. He is currently pursuing a PhD at Yıldız Technical University, having previously completed an MSc at İnönü University. Education: PhD in Control and Automation (2024–present), Yıldız Technical University MSc in Electrical-Electronics Engineering (2020–2023), İnönü University BSc in Electrical-Electronics Engineering (2014–2019), İnönü University His research focuses on control theory, particularly stability analysis and controller design for dynamic systems. He has applied these principles to projects like the Coupled Liquid Tanks System, emphasizing stability boundary locus techniques. Recent work includes optimizing fractional-order systems using genetic algorithms, reflecting his expertise in computational intelligence and control engineering. His publications address challenges in industrial automation and system modeling. He can be contacted at murat.degirmenci@isikun.edu.tr .

• Numerical Analysis
• Applied Mathematics
• Computational Mathematics
• +۳ مورد دیگر

Emre Mengi is a Professor in the Department of Mathematics at Koc University, affiliated with the School of Computational Sciences and Engineering. He holds a PhD (2006) and Master’s (2003) in Mathematics from New York University, and a B.A. (2000) in Computer Engineering from Middle East Technical University. Research areas: Numerical Analysis , Eigenvalue Optimization , and Model Reduction Current focus: Subspace frameworks for nonlinear eigenvalue problems and pseudospectral abscissa minimization His recent work emphasizes large-scale stability analysis of descriptor and Hamiltonian systems, distance-to-instability measures, and L∞-norm computation for robust control. He has developed algorithms for nonsmooth eigenvalue optimization and software tools like Eigopt. Scientific Awards : BAGEP Award (2014), Householder Award Honorable Mention (2008), Janet Fabri Prize Honorable Mention (2007), IMA Leslie Fox Prize (2004), Continuous Optimization Young Researcher Award

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)

Didem Gözüpekمشاهده پروفایل

استاد

• Graph Theory
• Approximation Algorithms
• Network Optimization
• +۲ مورد دیگر

Didem Gözüpek is Professor in Computer Engineering at Gebze Technical University and Director of the Graph Theory and Network Optimization (GRANET) Research Laboratory. Her research examines combinatorial optimization problems in communication networks using graph-theoretic approaches. Her award-winning work includes contributions to equimatchable graph characterization, reload cost optimization, and cognitive radio network scheduling. Recent publications advance knowledge in packing coloring and structural graph theory. She leads TUBITAK-funded projects on domination in graphs and combinatorial optimization applications to urban systems.

Shervin Rahimzadeh Arashlooمشاهده پروفایل

استادیار

• Machine Learning
• Computer Vision
• Kernel Methods
• +۴ مورد دیگر

Shervin Rahimzadeh Arashloo is an Assistant Professor in the Department of Computer Engineering at Bilkent University, Faculty of Engineering. His research focuses on machine learning, kernel methods, anomaly detection, and computer vision applications in fields like face recognition and environmental modeling. He holds a Ph.D. and has extensive academic publications since 2007. His work integrates advanced statistical techniques with real-world challenges, such as hydrological drought modeling, sediment transport prediction, and face spoofing detection. Key contributions include novel one-class classification frameworks, kernel fusion methodologies, and multi-output regression models for environmental systems. Research trends in his publications emphasize robust anomaly detection via kernel-based approaches, optimization of classifier combinations, and application of machine learning to geospatial and biometric security problems. No awards are explicitly mentioned in the provided materials. His lab likely focuses on interdisciplinary projects combining computer science with environmental engineering, though specific lab/team details are not elaborated here.

Nizami Gasilovمشاهده پروفایل

استاد

• Fuzzy differential equations
• Interval analysis
• Numerical methods
• +۳ مورد دیگر

Prof. Dr. Nizami Gasilov is a faculty member at Başkent University's Faculty of Engineering, specializing in computer engineering. His research focuses on fuzzy differential equations, interval analysis, numerical methods, and plasma physics. Teaches courses including Discrete Structures, Numerical Analysis Techniques, and Differential Equations Holds a PhD in Computational Mathematics and Cybernetics from Lomonosov Moscow State University (1989) Recent work analyzes fuzzy and interval differential equations for deterministic uncertainty modeling, with applications in tokamak plasma dynamics and recommender systems. His publications span journals like Kybernetika and Soft Computing. Active in editorial roles for multiple journals in 2024.

Gönenç Onayمشاهده پروفایل

استادیار

• Logic
• Algebra
• Machine Learning
• +۳ مورد دیگر

Gönenç Onay is a mathematician affiliated with Galatasaray University as an Assistant Professor, focusing on logic, algebra, and machine learning. He actively bridges pure mathematics with applied computational methods, contributing to seismic data analysis through the Sismomath platform and co-organizing interdisciplinary workshops and seminars. PhD in Pure Mathematics (Paris) Master’s from University Grenoble Experienced in teaching/research roles across Paris, Istanbul, and Münster His research spans mathematical logic, algebraic structures, and machine learning optimization techniques. Recent work introduces the SMB optimizer, challenging existing methods like ADAM and SGD. He is deeply involved in academic outreach, organizing seminars and workshops on mathematics education and formal sciences. Publications highlight his interdisciplinary efforts in machine learning and seismic data analysis. He collaborates internationally, as seen in the 2024 workshop co-organized with Pascale Roure at Yıldız Teknik University, featuring Oxford scholars. He engages in academic mentorship and promotes cross-disciplinary dialogue, particularly between French and Turkish educational approaches in mathematics.

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 .

Bayram SÖZBİRمشاهده پروفایل

استادیار

• Summability Theory
• Approximation Theory
• Time Scale Analysis
• +۳ مورد دیگر

Bayram SÖZBİR is an Assistant Professor at the Management Information Systems Department of Doğuş University's Faculty of Economics and Administrative Sciences since 2024. His academic journey includes a PhD and MSc in Mathematics from Sakarya University, focusing on Time Scale Analysis, and a BSc in Mathematics from Istanbul University. PhD: Sakarya University (2015), Thesis: 'New Convergence Types on Time Scales and Asymptotically Equivalent Functions' MSc: Sakarya University (2012), Thesis: 'Certain Convergence Types and Their Applications to Approximation Theory' BSc: Istanbul University (2010), Faculty and Department Second Place His research lies at the intersection of Summability Theory , Approximation Theory , and Time Scale Analysis . Key contributions include novel convergence criteria for functions on time scales, extending classical statistical convergence to weighted and lacunary frameworks, and applications to Korovkin-type approximation theorems. Recent publications focus on (α,β)-statistical convergence, lacunary statistical boundedness, and complex-valued symmetric fractional derivatives on time scales. Co-authors include Selma ALTUNDAĞ and Metin BAŞARIR, with works appearing in journals like Mathematical Methods in the Applied Sciences and Advances in Difference Equations . Scientific Awards : 2015: TÜBİTAK 2211-A Domestic Doctorate Scholarship 2015: Sakarya University Institute Third Place 2012: Istanbul University Faculty and Department Second Place As an educator, he teaches Mathematics and Programming courses at Doğuş University, including Web Programming, Human-Computer Interaction, and Algorithm Development.

Yusuf Sahillioğluمشاهده پروفایل

استاد

• Computer Graphics
• 3D Shape Processing
• Geometric Algorithms
• +۳ مورد دیگر

Professor Yusuf Sahillioğlu is a faculty member in the Computer Engineering Department at Middle East Technical University (METU), Faculty of Engineering, specializing in computer graphics and geometric processing. His academic journey includes a BS from Bilkent University, MS from University of Florida, and PhD from Koç University, followed by postdoctoral work at Koç University and University of Pennsylvania. His research focuses on 3D shape correspondence , deformation algorithms , deep learning for 3D data , and geometry processing . Key contributions include novel methods for isometric shape matching, topologically-stable correspondence, and real-time secondary animation. His recent work integrates deep learning with traditional geometric approaches for mesh segmentation, point cloud classification, and 3D scene extrapolation. His 15 most recent publications (2021-2025) reveal a strong trend toward real-time geometric algorithms (e.g., spring-decomposed skinning), kernel computation for mesh processing, and deep generative models for 2D-to-3D conversion. The research consistently bridges theoretical geometry with practical applications in animation, reconstruction, and medical imaging. Award highlights include: METU Academic Performance Award (2018) METU Young Scientist Awards (2015-2017) TÜBİTAK 1001 Grants (2016, 2020, 2024) for 3D content analysis, shape matching, and reconstruction TÜBİTAK 3501 Career Grant (2015) for virtual medicine applications He teaches core courses including Data Structures, Operating Systems, Computer Graphics, and Advanced Digital Geometry Processing. His lab focuses on geometric algorithms with applications in medical imaging, animation, and 3D printing, maintaining strong industry and international collaborations through projects like TÜBİTAK-funded initiatives.

• Digital Design
• Embedded Systems
• Circuits and Systems Theory
• +۶ مورد دیگر

Professor Ece Olcay Güneş is affiliated with the Faculty of Electrical and Electronics Engineering at Istanbul Technical University , where she holds the rank of Professor in the Department of Electronics and Communication Engineering. Her career spans over two decades, including administrative roles such as Deputy Head of Department (2023–2024, 2023–2026) and Graduate Program Coordinator (2013–2021). Research Focus : Digital Design, Embedded Systems, Stochastic Computing, and Artificial Intelligence. Key Contributions : Hardware-software co-optimization, resolver error compensation, post-quantum cryptography acceleration, and stochastic vision machine simulation. Awards : GLSVLSI'23 Best Paper Award (2023). Grants : BAP and TUBITAK-funded projects in approximate computing, genetic risk analysis, and RF transmitter design. Contact : gunesec@itu.edu.tr

• Computer Architecture
• Multi-core Systems
• Fault-Tolerant Computing
• +۴ مورد دیگر

Dr. Işıl Öz is an Assistant Professor in the Computer Engineering Department at Izmir Institute of Technology (IZTECH). She holds a B.Sc. and M.Sc. in Computer Engineering from Marmara University and a Ph.D. from Boğaziçi University. Before joining IZTECH in 2018, she worked as a postdoctoral researcher and ERCIM/Marie Curie Fellow at the Swedish Institute of Computer Science (SICS). Her research focuses on computer architecture, performance optimization, and reliability of multi-core systems, with a strong emphasis on fault-tolerant computing and GPGPU applications. Key projects include the TÜBİTAK-funded FTGPGPU initiative analyzing hardware fault tolerance for GPU applications. She teaches courses such as Operating Systems, Advanced Computer Architecture, and Parallel Programming Patterns. Her work spans machine learning-based vulnerability prediction, compiler design for reliable execution, and approximation techniques for efficient parallel computing. Publications appear in venues like ACM Computing Surveys, The Journal of Supercomputing, and International Journal of Parallel Programming. Awards: ERCIM/Marie Curie Fellowship Labs/Teams: Parsiyte Research Group (focused on parallel and distributed systems) Grants: TÜBİTAK ARDEB 3501 (FTGPGPU project)

Müzeyyen ERTÜRKمشاهده پروفایل

استاد

• Fixed Point Theory
• Intuitionistic Fuzzy Normed Spaces
• Convex Minimization
• +۳ مورد دیگر

Müzeyyen ERTÜRK is a Professor at Adıyaman University's Faculty of Arts and Sciences, Department of Mathematics. She earned her Ph.D. from Yıldız Technical University (2014) and M.Sc./B.Sc. from Harran University, focusing on Fixed Point Theory and Ergodic Theorems. Education: Ph.D. in Mathematics (2014), Yıldız Technical University M.Sc. in Mathematics (2009), Harran University B.Sc. in Mathematics (2006), Harran University Her research interests include Fixed Point Theory, Intuitionistic Fuzzy Normed Spaces, Convex Minimization Problems, and Iterative Algorithms for Variational Inequalities. She has published extensively on these topics, collaborating with researchers like Faik Gürsoy and Vatan Karakaya. Article Trends (2018–2025): Recent publications focus on iterative methods (Picard, Mann, Gradient Projection), applications to variational inequalities, and convergence analysis in Hilbert/Banach spaces. Keywords include Optimization, Functional Analysis, and Nonexpansive Mappings. Supervision: Advised Ph.D. theses on fixed point algorithms, convex optimization, and perturbation resilience. Supervised students include Ahmet Salkım and Gülşah Paf Şahin.