جست‌وجوی استاد و پژوهشگر

Selcuk Pakerمشاهده پروفایل

استاد

• Electromagnetic Fields
• Microwave Systems
• Telecommunication Systems
• +۸ مورد دیگر

Prof. Dr. Selcuk Paker is a faculty member at the Department of Electronics and Communication Engineering , Faculty of Electrical and Electronics Engineering , Istanbul Technical University. His research spans electromagnetic field theory, microwave systems, and telecommunications, with a focus on antenna design, radar imaging algorithms, and bioelectromagnetics. Research Interests : Electromagnetic scattering, inverse scattering, radar systems, SAR imaging, GNSS algorithms, microwave heating, and wireless communication. Recent publications highlight his work in 5G antenna design , radar-based earthquake detection , and biological effects of RF exposure . He contributes to microwave and radar technologies, including applications in structural diagnostics and sensor networks.

Burhaneddin İzgiمشاهده پروفایل

دانشیار

• Game Theory
• Stochastic Differential Equations
• Numerical Analysis
• +۳ مورد دیگر

Burhaneddin İzgi serves as an Associate Professor in the Department of Mathematics Engineering at Istanbul Technical University, where he maintains an active research profile with projects extending through 2025. His work bridges theoretical mathematics with computational applications, particularly in game-theoretic problem solving. Research interests center on Game Theory and Stochastic Differential Equations, with specialized focus on matrix norm-based solution methods for zero-sum, fuzzy, and stochastic matrix games. Recent work integrates Artificial Intelligence techniques to address large-scale game complexity, reflecting interdisciplinary innovation across Numerical Analysis and Fuzzy Mathematics. Article trends (2022-2025) reveal consistent advancement of matrix norm methodologies across diverse game types, increasingly incorporating machine learning for computational efficiency. Publications demonstrate strong theoretical grounding in Mathematics while addressing practical applications in finance (e.g., IPO modeling) and decision systems. Scientific recognition includes: 2210 - Yurt İçi Yüksek Lisans Burs Programı (2008) 2211 - Yurt İçi Doktora Burs Programı (2010) Matematik Bölüm Birinciliği (2008) Üniversite İkinciliği ödülü (2008) Research funding includes TUBITAK-supported projects such as 'Stokastik Oyunlar İçin Matris Norm Tabanli Yeni Çözüm Yöntemleri Ve Yapay Zeka Uygulamalari' (2021-2023) and current grants developing chaos theory approaches for stochastic matrix games (2024-2025), demonstrating sustained external validation of his research program.

• Computer Architecture
• Parallel Algorithms
• Optimization
• +۴ مورد دیگر

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
• +۳ مورد دیگر

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.

• Computational Design
• Digital Fabrication
• Bio-Based Materials
• +۷ مورد دیگر

Dr. Gözde Damla Turhan is a Researcher at the Department of Architecture within the Faculty of Fine Arts and Design at İzmir University of Economics, a position she has held since September 2017. She holds a B.Sc. in Architecture from İzmir Ekonomi Üniversitesi (2014), followed by dual Master's degrees: M.Arch in Advanced Architectural Design (2016) and M.Sc. in Architecture (2016). Her Ph.D. in Design Studies (2022) focused on biobased materials, computational design, and digital fabrication. Current research interests include AI applications in design (machine learning, diffusion models, LLMs), and sustainable material innovation. Her work bridges architecture and computational technologies, emphasizing bio-based materials (e.g., bacterial cellulose), digital fabrication methods, and AI-driven design processes. She has explored topics like urban rehabilitation via GANs, NFT art hybrid experiences, and life cycle assessments of unconventional construction materials. Publications (2016–2023) span computational form-finding, material science, and digital tools in architecture. She actively contributes to design pedagogy, investigating how AI tools like diffusion models can reshape educational frameworks.

• Computer vision
• Machine learning
• Statistical data analysis
• +۳ مورد دیگر

Ceyhun Burak Akgül is a Part-Time Lecturer specializing in Computer Vision, Machine Learning, and Statistical Data Analysis. His research focuses on interdisciplinary applications of visual data processing, including medical imaging and 3D object recognition. He maintains a personal website at cba-research.com and can be contacted at cb.akgul@gmail.com . His work spans topics such as image captioning, visual dictionaries, and symbolic feature detection. Key contributions include developing algorithms for action recognition using depth cameras and frameworks for leaf and object recognition. His research also integrates medical applications, such as analyzing Alzheimer’s patient movements and automated diagnosis using imaging data. Akgül’s publications frequently address challenges in 3D shape descriptors, feature selection, and interdisciplinary methodologies. His recent work includes exploring visual dictionaries and improving image processing techniques through model-driven approaches. His academic contributions are evident in journals like the Journal of Visual Communication and Image Representation, and he has participated in competitions like SHREC. Despite his extensive publication record, no formal awards or grants are explicitly mentioned in the provided data.

Erdinç Altuğمشاهده پروفایل

استاد

• Unmanned Aerial Vehicles (UAVs)
• Quadcopter Design
• Flight Control Systems
• +۵ مورد دیگر

Erdinç Altuğ serves as a Professor in the Department of Mechanical Engineering at Istanbul Technical University, specializing in advanced aerial robotics and control systems. His work bridges theoretical control methodologies with practical UAV applications. Research interests focus on Unmanned Aerial Vehicle design and fault tolerance Quadcopter dynamics and vertical takeoff systems Adaptive control for parametric variations Rapid prototyping of hybrid VTOL platforms His recent publications demonstrate consistent innovation in autonomous flight systems, particularly in fault-tolerant operational modal analysis and modular multi-drone configurations. Current projects include: Hibrit İnsansız Hava Aracı Ile Otonom Teslimat Sistemi Geliştirilmesi (TUBITAK, 2020-2022) Mini Jet Motorlu Dikine Kalkıp İnebilen Otonom Taşıyıcı Robot Geliştirilmesi (TUBITAK, 2018-2021) Kampüs içi ve bina içi ortamlarda çalışacak otonom taşıma aracı algoritmaları (SRP, 2018-2021) Supervising 26 graduate works, his research impacts both academic and industrial UAV development.

ZİYATTİN TAŞمشاهده پروفایل

مدرس

• Functional Analysis
• Banach Spaces
• Graph Theory
• +۳ مورد دیگر

ZİYATTİN TAŞ is a Lecturer in the Mathematics Department at the Faculty of Arts and Sciences, Bingöl University. He holds a Ph.D. in Mathematics from Yüzüncü Yıl University (2005) after completing his M.Sc. at Harran University (1995) and B.Sc. at Yüzüncü Yıl University (1993). His research focuses on functional analysis, Banach spaces, graph theory, and topological descriptors. He has published extensively in international journals like Journal of Discrete Mathematical Sciences & Cryptography and Graphs and Linear Algebra . Educations: B.Sc. (1993), M.Sc. (1995), Ph.D. (2005) Research interests include metric geometry, topological indices of molecular structures, and mathematical properties of graphs. His recent work involves analyzing entropy measurements in hexagonal cycloarene structures and domination connectivity in paths/cycles. He has collaborated on studies applying topological descriptors to Remdesivir drug design and silicate carbide analysis. Over 20 peer-reviewed articles, including contributions to QSPR analysis of octanes and Petersen graph topological correlations. No explicit awards listed, but active in national/international conferences since 2007.

Semih Doğuمشاهده پروفایل

استادیار

• Electromagnetic Theory
• Microwave Imaging
• Inverse Scattering Problems
• +۳ مورد دیگر

Semih Doğu is an Assistant Professor at the Department of Electronics and Communication Engineering , Faculty of Electrical and Electronics Engineering , Istanbul Technical University . His research focuses on Electromagnetic Theory , Microwave Imaging , Inverse Scattering Problems , and Antenna Design . Doctorate: Istanbul Technical University (2023) Master's: Istanbul Technical University (2017) Bachelor's: Yıldız Technical University (2015) His research interests emphasize microwave-based diagnostics, including: Microwave imaging for breast cancer detection Antenna optimization for medical and security applications Inverse problem solving in electromagnetic systems Through-the-wall imaging for surveillance Semih Doğu's recent publications demonstrate his expertise in: Neural networks for temperature monitoring in hyperthermia Ku/Ka-band antenna designs for satellite systems Microwave salinity sensing Algorithm development for improved imaging accuracy He contributes to the ITU Electromagnetics Research Group , participating in projects like: Microwave Brain and Breast Imaging Device Development Compressed Sensing for Energy-Efficient Communication Microwave Tissue Analysis

Burak Ermanمشاهده پروفایل

استاد

• Statistical Mechanics
• Protein Dynamics
• Drug Design
• +۳ مورد دیگر

Professor Burak Erman is a distinguished academic currently serving as a Professor of Science and Engineering at Koç University. He holds a Ph.D. from Istanbul Technical University (1974) and has held faculty positions at Robert College School of Engineering (1969–1971), Boğaziçi University (1971–1998), and Sabancı University (1998–2002). His research focuses on applying statistical mechanics to predict protein function, drug design, and protein-drug interactions. Erman has authored over 200 scientific papers, two books, and two edited volumes. Affiliations: Turkish Academy of Sciences, TÜBİTAK Science Board, and editorial boards of Computational Polymer Science and Polymer Gels and Networks . Collaborations: Max-Planck Institute, ESPCI Paris, and Cincinnati University. His research interests include protein dynamics, entropy changes in mutations, and computational methods for drug design. Key contributions include the Gaussian Network Model for protein behavior analysis and studies on KRAS mutations in cancer. Erman has received prestigious awards like the 2007 American Chemical Society Whitby Award. Awards: 1991 Simavi Science Award, 1991 TÜBİTAK Science Award, 2007 ACS Whitby Award. Labs/Teams: Erman Research Group focuses on protein dynamics and computational biology. Grants and advising details are not explicitly mentioned, but his extensive publications and collaborations highlight significant contributions to interdisciplinary research in biophysics and molecular biology.

Cevdet Aykanatمشاهده پروفایل

استاد

• Parallel Computing
• High-Performance Computing
• Graph and Hypergraph Partitioning
• +۴ مورد دیگر

Prof. Cevdet Aykanat is a Professor of Computer Engineering at Bilkent University, Ankara, Turkey. He earned his BS/MS in Electrical Engineering from METU and PhD from Ohio State University as a Fulbright scholar. His research focuses on parallel computing, sparse matrix algorithms, graph partitioning, and high-performance computing for big data. He has been affiliated with Bilkent since 1989 and has held roles like Associate Provost. Education: BSc/MSc (METU Electrical Engineering), PhD (Ohio State University Electrical & Computer Engineering). Research interests include parallel scientific computing, combinatorial optimization, distributed systems, and large-scale data analysis. His work spans over 100 publications in top journals like IEEE Transactions and SIAM, with 5,500 citations and an H-index of 40. Awards: 1996 TUBITAK Investigator Award, 2007 METU Parlar Science Award. He led 6 TUBITAK projects and participated in EU-funded projects like PRACE-1IP to PRACE-6IP. Publications emphasize efficient parallel algorithms for sparse computations, graph partitioning, and distributed systems. His work addresses latency reduction, load balancing, and scalable data processing in HPC environments. Grants: Funded by TUBITAK, Intel SSD, and EU programs. Academic service includes editorial roles at IEEE Transactions on Parallel and Distributed Systems.

• Distance Education
• Online Learning
• Educational Technology
• +۷ مورد دیگر

Aras Bozkurt is a faculty member and researcher at Anadolu University's Open Education Faculty in Türkiye, holding a PhD in Distance Education. His work focuses on empirical studies in distance education, online learning, educational technology, and AI integration in education through critical theories like connectivism, rhizomatic learning, and heutagogy. He employs emerging methodologies including social network analysis and sentiment analysis, with a particular emphasis on the implications of generative AI and human-machine interaction. Editorial Leadership : Editor-in-Chief of Open Praxis and Asian Journal of Distance Education, Associate Editor for journals including Higher Education Research and Development and Online Learning Research Contributions : Over 250 Web of Science publications, h-index of 60 on Google Scholar, 47 funded projects, and 7 thesis advisories Bozkurt's research explores critical educational paradigms, with recent publications analyzing generative AI's impact on academic integrity, OER transparency, and the sustainability of open universities. His work bridges theoretical frameworks with practical applications in digital education ecosystems, focusing on ethical AI implementation and algorithmic challenges. Scientific contributions include 15 recent articles (2023-2026) covering generative AI literacy, colonial legacy disruptions in education, AI ethics frameworks through activity theory, and dropout analysis in open distance learning systems. These publications demonstrate a consistent focus on critical AI studies, educational sustainability, and digital transformation.

Tuğçe Bilenمشاهده پروفایل

استادیار

• Artificial Intelligence
• Computer and Communication Networks
• Digital Twin
• +۴ مورد دیگر

Tuğçe Bilen is an Assistant Professor at Istanbul Technical University's Department of Artificial Intelligence and Data Engineering, within the School of Computer and Informatics. Her research focuses on Artificial Intelligence and Computer and Communication Networks, particularly Digital Twin technologies, 6G wireless systems, and smart IoT applications. PhD in Computer Engineering (2017-2022), Istanbul Technical University Master's in Computer Engineering (2016-2017), Istanbul Technical University Licence in Computer Engineering (2010-2015), Istanbul Technical University Her research explores Digital Twin middleware for smart farms, energy-aware task scheduling in 6G edge networks, aeronautical ad-hoc network optimization, and cloud-based protocol enhancements. Recent work addresses metaverse-driven supply chain optimization and secure routing for aircraft networks. Key publication trends show strong focus on: Digital Twin integration across domains 6G wireless network architectures Adaptive routing algorithms Energy-efficient IoT systems Security in airborne communication Machine Learning for network management Scientific recognition includes: Serhat Özyar Young Scientist of the Year Honorary Award (2023) Doctoral Thesis Award from Istanbul Technical University (2023) TÜBA Doctoral Science Awards-Teknofest (2023) She serves as Principal Investigator for the Unsupervised Learning-Based Management of Ad Hoc Airborne Network Topology project (2024-2026) and holds a patent for Parametric Parsing Based Routing System in Content Delivery Networks (2021). As IEEE member since 2015, she contributes to telecommunications standards.

• Artificial Intelligence
• Natural Language Processing
• Computational Linguistics
• +۶ مورد دیگر

Ayşenur Akyüz Birtürk serves as a Lecturer in the Department of Computer Engineering at Middle East Technical University (METU), Ankara, where she has taught since February 1994. Her academic career spans foundational programming courses to advanced graduate seminars in AI and Computational Linguistics, reflecting 30+ years of institutional commitment. She earned all her degrees from METU, culminating in a 1998 Ph.D. focused on Turkish language computational analysis. Her educational journey includes: B.S. in Computer Engineering (1985) M.S. in Computer Engineering (1988) with thesis on “A Model for Representing Concepts: Conceptual Dependency Theory” Ph.D. in Computer Engineering (1998) with thesis on “A Computational Analysis of Turkish using the Government-Binding Approach” Dr. Birtürk’s research centers on Artificial Intelligence and Natural Language Processing , with pioneering work in Turkish language parsing evolving into modern Recommender Systems . She integrates semantic relations and multi-domain data to build hybrid engines for movies, books, and music, emphasizing user modeling through knowledge representation and data mining techniques. Analysis of her 2010-2015 publications reveals two dominant threads: adaptive recommender systems (80% of output) using semantic similarity and dynamic clustering, and renewable energy analytics (20%) applying machine learning to wind/hydrological data. This pivot from NLP to energy forecasting demonstrates methodological versatility while maintaining core AI expertise. Her scientific recognition includes: TUBITAK scholarships throughout education (1977-1988) Multiple national contest awards in high school (1979-1980) Leadership in TUBITAK-funded energy and healthcare projects Dr. Birtürk has supervised 17 Master’s theses in NLP and recommender systems while securing competitive grants including METU-ISTEC #17435 (2006-2008; 504,000 YTL) and HASAT (2010-2013; 601,637 YTL). Her industry consultancy spans medical form design (FormAnalitik), question-answering systems, and retail intelligence platforms, translating academic research into real-world tools.

• Mathematics Education
• Differential Geometry
• Natural Sciences
• +۳ مورد دیگر

Prof. Hülya KADIOĞLU is a Mathematics Education faculty member at Yıldız Technical University's Faculty of Education , Department of Mathematics and Science Education. With over 15 years of academic experience, she has held positions from Lecturer to Full Professor since 2024. PhD in Mathematics from Gazi University (2007-2011) Postdoctoral research at Idaho State University (2011-2012) Research Interests span differential geometry, Lie algebras, and mathematics education innovation. Her work combines geometric structures with computational methods while developing novel educational approaches for mathematical concepts. Awards include multiple TÜBİTAK Publication Incentive Prizes (2013, 2018) and Yıldız Technical University Faculty-Level Authorship Awards (2018). She has supervised multiple graduate theses and managed 9 funded projects, including several TÜBİTAK initiatives focused on mathematics education and geometric understanding. Her publication record includes 39 WoS-indexed articles with 26 H-index and over 52 total citations.