جستجوی استاد راهنمای دانشگاهی

Ali Mostafazadeh is a Professor at the Department of Mathematics, College of Sciences, Koç University. His research spans Mathematical Physics, focusing on Quantum Mechanics, Scattering Theory, and PT-Symmetry. He has made significant contributions to understanding non-Hermitian Hamiltonians, electromagnetic wave propagation, and geometric scattering phenomena. Education: PhD in Physics (1994) from The University of Texas, BA in Physics and Mathematics (1989) from Boğaziçi University His work explores the intersection of mathematics and physics, particularly through spectral singularities, transfer matrix methods, and nonlinear optical systems. Recent publications highlight advancements in broadband directional invisibility, exact Born approximations, and time-dependent Hilbert spaces in quantum systems. 2011 Outstanding Success Award 2007 TÜBİTAK Science Award 2006 Werner-von-Siemens Excellence Award 2001 TÜBA Outstanding Young Scientists Award 2001 Parlar Foundation Research Incentive Award

• Mathematical Physics
• Quantum Mechanics
• Scattering Theory
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Fatih Ecevit is Full Professor of Mathematics at Boğaziçi University, serving as Vice Chair of the Mathematics Department. Former research associate at Max-Planck-Institut für Mathematik in den Naturwissenschaften, Leipzig (2005-2007). Research develops computational methods for high-frequency scattering problems, including: Boundary element methods for wave propagation Asymptotic analysis of scattering phenomena Galerkin formulations for integral equations Lattice sum evaluations in graph theory Principal investigator for TÜBİTAK-funded project: 'Hybrid integral equation methods for high-frequency scattering problems' (2017-2020). Teaches graduate and undergraduate courses in numerical analysis, partial differential equations, and real analysis.

• Numerical Analysis
• Partial Differential Equations
• Scattering Theory
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Professor Ali Yapar is a faculty member at Istanbul Technical University in the Electronics and Communication Engineering department. His research focuses on Electromagnetics , Microwave Engineering , and Antenna Technologies , with a particular emphasis on inverse scattering problems and microwave imaging for biomedical applications. He has supervised numerous graduate students and led projects related to breast cancer treatment and rough surface imaging. PhD in Electronics and Communication Engineering from Istanbul Technical University (1997) MSc in Electronics and Communication Engineering (1995) His recent publications analyze advanced techniques for microwave hyperthermia systems, reverse time migration methods, and Newton-based solutions for electromagnetic inverse scattering. Key projects include TUBITAK-funded initiatives on microwave tomography and brain stroke imaging. He serves as a project investigator and executive for electromagnetic research programs. Research areas span Electromagnetic Wave Propagation , Green's Function Applications , and Dielectric Material Analysis . Collaborations include IEEE members and international researchers in computational electromagnetics.

• Electromagnetics
• Microwave Engineering
• Antenna Technologies
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Tayfun Günel is a Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU) , Faculty of Electrical and Electronics Engineering. He holds a PhD (1993), MSc (1988), and BSc (1986), all from ITU. His research spans microwave circuits, radar systems, antennas, and optimization using genetic algorithms and soft computing. His research interests include Microwave Circuits , Radar and Antennas , Optimization , and Genetic Algorithms . His work focuses on impedance matching, microstrip antennas, noise modeling, and metamaterial-based microwave components. He has taught courses such as Electromagnetic Fields, Radar Systems, and Satellite Communication Systems. The recent publications reflect a strong trend in microwave circuit design , antenna miniaturization , and the application of evolutionary algorithms (genetic algorithms, PSO) and machine learning (neural networks, SVR) in electromagnetic design and optimization. There is a consistent focus on practical microwave components like transmission lines, patches, and amplifiers, often using nanomaterials (e.g., carbon nanotubes) and metamaterials . His work bridges theoretical modeling with computational optimization for real-world RF and radar applications. Email: gunelmur@itu.edu.tr Professor Günel has supervised 2 completed PhD theses, 2 ongoing PhD theses, 23 completed master's theses, and 1 ongoing master's thesis, demonstrating a significant contribution to student mentoring. There are no specific grants or funding sources mentioned in the provided text. He is affiliated with research in microwave systems and antenna design , likely operating within the broader research ecosystem of the Electronics and Communication Engineering Department at ITU, which includes labs such as the Microwave Systems and Antennas Laboratory and the Radar and Microwave Technologies Research Laboratory.

• Microwave Circuits
• Radar Systems
• Antennas
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İBRAHİM TEKİN is an Associate Professor at Alanya Alaaddin Keykubat University's RAFET KAYIŞ FACULTY OF ENGINEERING, Department of Fundamental Engineering Sciences. Previously, he held positions at Bursa Technical University and Gebze Technical University. He earned his B.Sc., M.Sc., and Ph.D. in Mathematics from Gebze Technical University between 2004 and 2016. His research focuses on inverse problems, mathematical modeling, partial differential equations, and inverse scattering. Key areas include time-dependent coefficient identification in fractional PDEs, nonlinear hyperbolic systems, and scattering theory applications in wave dynamics. He has published extensively in journals like Journal of Computational and Applied Mathematics and Mathematical Methods in the Applied Sciences . Administratively, he served as Vice President of the Department at Bursa Technical University (2019–2017) and Head of the Department of Mathematics (2020). He teaches applied mathematics courses and has supervised numerous research projects in inverse problem methodologies. His work bridges theoretical mathematics with engineering applications, addressing challenges in diffusion processes, wave equations, and fractional calculus. Current research trends emphasize high-order PDEs and numerical methods for inverse problem solutions.

• Inverse Problems
• Mathematical Modelling
• Partial Differential Equations
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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

• Electromagnetic Theory
• Microwave Imaging
• Inverse Scattering Problems
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Prof. Ibrahim Akduman is a Full Professor at Istanbul Technical University's Faculty of Electrical and Electronics Engineering, leading the Medical Devices Research, Development - Applications Group and Laboratory. His expertise spans microwave tomography, medical imaging, and electromagnetic applications in healthcare. He has held administrative roles including Dean of the Faculty and Vice-Rector, and has been a visiting professor at institutions like Polytechnic University (NY, USA) and University of Goettingen (Germany). Education: PhD (1990), MSc (1987), BSc (1984) in Electronics and Communication Engineering from ITU. Professional milestones include over 30 years of academic leadership, 20+ patents, and international awards including the Alexander von Humboldt Fellowship. Research focuses on microwave breast cancer imaging, brain stroke detection, and antenna design for medical applications. Advised 40+ students and authored 150+ publications. Key contributions include the SAFE microwave imaging system for breast cancer screening and the development of realistic breast models using MRI data. Labs: Medical Devices Research, Development & Applications Lab (www.erg.itu.edu.tr). Collaborations include EU-funded projects like EMERALD (2018-2021) and MiMed (2013-2017). Awards highlight contributions to medical electromagnetic technologies and innovation in Turkey.

• Microwave Tomography
• Medical Devices
• Electromagnetic Fields in Medicine
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Cumali Sabah is a faculty member in the Department of Electrical and Electronics Engineering at the Middle East Technical University Northern Cyprus Campus (METU NCC), within the College of Engineering. His research is centered on advanced electromagnetic systems, particularly metamaterials and their applications in microwave and terahertz frequency regimes. Research Interests: His primary fields include Metamaterials, Electromagnetic and Microwave Applications, Terahertz Technology, Wave Propagation & Scattering, Antennas, Multilayer Structures, and Metamaterial-Based Sensing. He has pioneered work on fishnet metamaterials, chiral structures, polarization rotators, and absorbers, with applications in sensing and communication systems. The analysis of his recent publications reveals a strong focus on the design, simulation, and experimental validation of metamaterial structures for terahertz and microwave applications. Key themes include dual-band and multiband operation, polarization independence, low-loss configurations, and novel resonator geometries such as split-ring and omega-shaped elements. His work also extends to solar system applications, particularly in photovoltaic panel optimization through sun tracking and cooling. Scientific Contributions: Pioneering work on free-standing and waveguide-based metamaterials Development of THz polarization rotators using chiral metamaterials Innovative designs of multiband and low-loss metamaterial absorbers Contributions to electromagnetic parameter retrieval methods for bianisotropic slabs Advising and Grants: While specific details about students or funded grants are not provided in the text, his extensive publication record and research leadership suggest active involvement in graduate supervision and research projects. He has collaborated with international researchers from Germany, Turkey, and other institutions, indicating strong academic networks. Labs and Teams: Although specific lab affiliations are not mentioned, his research likely involves experimental and computational work in electromagnetics and metamaterials, possibly within dedicated labs at METU NCC’s Electrical and Electronics Engineering Department.

• Metamaterials
• Electromagnetic and Microwave Applications
• Terahertz Technology
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Prof. Tanju YELKENCİ is an academic who continues his work in electromagnetic theory and forward and inverse scattering problems within the Faculty of Engineering , Department of Electrical and Electronics Engineering . His research bridges theoretical electromagnetics with practical applications in radiation safety and computational modeling. Education Licence (1982-1986): Yıldız Technical University, Department of Electrical Engineering. Master's (1986-1989): Istanbul Technical University, Electronics and Communications Program. Doctorate (1994-1999): Technische Universitaet Wien (Vienna Technical University), Faculty of Electrotechnics. His research focuses on numerical methods in electromagnetics , including specific absorption rate (SAR) analysis for mobile phone radiation, inverse scattering problems in complex geometries, and electromagnetic safety standards . Recent publications highlight his work on computational models for iron slags and inverse scattering in waveguide structures .

• Electromagnetic Theory
• Inverse Scattering Problems
• Computational Electromagnetics
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Prof. Dr. Funda Akleman Yapar is a faculty member at the Department of Electronics and Communication Engineering , Istanbul Technical University , holding the Professor rank. She currently serves as Vice Dean (2023–2026) and previously held administrative roles including Deputy Head of Department (2020–2023). Her academic career spans 25 years at the same institution, starting as a Research Assistant in 1997. PhD in Electronics and Communication Engineering (1998–2002), Istanbul Technical University Her research focuses on electromagnetic engineering , microwave technologies , and antenna systems , with recent work on: 6G high-altitude platform antenna design Microwave metamaterials for solar cells Waveguide filter synthesis via inverse problems Radio propagation analysis in solar-affected stratospheric channels She has 50+ research outputs, including journal articles and conference papers, and leads projects like Three-Dimensional Radio Wave Propagation Analysis on Perfect Conductor Rough and Smooth Terrain (2014–2020). Her methodological expertise includes finite-difference time-domain (FDTD), parabolic equation (PE) modeling, and generalized scattering matrix techniques.

• Electromagnetic Engineering
• Microwave Technologies
• Antenna Design
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Nida Pala Mut Koşar is an Associate Professor at the Department of Mathematics and Science Education , Nizip Faculty of Education , Gaziantep University , Türkiye. Her academic career spans research and teaching in applied mathematics, spectral theory, and mathematics education. She has held administrative roles such as Member of the Faculty Board of Directors and Vice Dean. Education: Ph.D. in Mathematics (2010), Mersin University M.Sc. in Mathematics (2004), Mersin University B.Sc. in Mathematics (2000), Ankara University Research Interests: Her work focuses on Sturm-Liouville operators with discontinuous coefficients, inverse scattering problems , q-calculus , and mathematics education . She explores spectral analysis, transmission conditions, and approximation theorems, contributing to both theoretical mathematics and pedagogical frameworks. Scientific Contributions: She has published extensively on Sturm-Liouville spectral theory, nonself-adjoint operators, and Korovkin-type approximation theorems. Her projects include TÜBİTAK-funded science festivals and international collaborations under the H2020 program. Notable Projects: Coordinator for Gaziantep Bilim Şenliği (2017) Principal Investigator for international events like Researchers' Night (2024) Her teaching portfolio includes courses such as Applied Functional Analysis , Partial Differential Equations , and advanced mathematics education topics, reflecting her commitment to both research and pedagogy.

• Applied Mathematics
• Mathematics Education
• Sturm-Liouville Theory
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Professor Abdullah Kablan is a distinguished academic at Gaziantep University's Faculty of Arts and Sciences, Department of Mathematics and Applied Mathematics, where he has served as a Professor since 2020. Previously holding positions as Associate Professor (2015-2020) and Doctor Lecturer (2009-2015), his academic journey began with research assistant roles at both Gaziantep University and Mersin University. Dr. Kablan earned his PhD in Mathematics from Mersin University (2004-2008), Master's degree from Gaziantep University (2000-2003), and undergraduate degree from the same institution (1996-2000). His educational background laid the foundation for his expertise in advanced mathematical analysis. Specializing in Sturm-Liouville theory, spectral analysis, and differential equations with discontinuities, Professor Kablan's research focuses on fractional calculus, inverse spectral problems, and mathematical physics applications. His work bridges theoretical mathematics with practical applications in physics and engineering through rigorous analysis of differential operators with delta interactions and transmission conditions. His publication record shows consistent high-impact research output spanning from 2009 to 2025, with a clear trend toward increasingly sophisticated problems involving fractional operators, multi-interval systems, and advanced spectral theory. The articles demonstrate progression from fundamental Sturm-Liouville problems to cutting-edge research on fractional Dirac systems and eigenparameter-dependent boundary conditions. Professor Kablan has successfully supervised 22 graduate students (2 doctorates and 20 master's theses), demonstrating his commitment to academic mentorship and the development of next-generation mathematicians. His research project on Sturm-Liouville operators with periodic coefficients was completed in 2020. Teaching a comprehensive range of courses including Differential Equations (in both Turkish and English), Calculus, and Numerical Analysis, he has maintained an active teaching schedule throughout his career, contributing significantly to mathematics education at Gaziantep University.

• Sturm-Liouville Theory
• Spectral Analysis
• Fractional Calculus
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Professor Banu Uzun is a faculty member at the Faculty of Engineering and Natural Sciences of Işık University , where she serves as Head of the Mathematics Department . Her academic career spans over two decades, with expertise in Mathematical Analysis , Inverse Problems , and Fractional Calculus . She has taught courses including Linear Algebra, Differential Equations, and Real Analysis. PhD in Mathematics from the University of Leeds (1999) MSc in Mathematical Engineering from Istanbul Technical University (1995) BSc in Mathematical Engineering from Istanbul Technical University (1993) Her research focuses on thermoacoustic imaging , fractional calculus , and shift-invariant operators . Her recent work addresses inverse source problems in multi-layer media, fractional wavelet transforms, and operator equations. She has supervised doctoral theses on thermoacoustic imaging and inverse problems. Key projects include microwave-induced thermoacoustic imaging for breast cancer diagnosis . She is a member of the European Mathematical Society and Turk Matematik Dernegi . Her publications span journals and proceedings in mathematics, physics, and biomedical engineering.

• Mathematical Analysis
• Inverse Problems
• Fractional Calculus
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Dr. Hazel Yücel is an Assistant Professor in the Department of Computer Engineering at Başkent University. Her research focuses on applied mathematics, acoustics, and biomedical imaging, particularly in the development of mathematical models for thermoacoustic and photoacoustic imaging techniques. She collaborates with Professors Barış Erbaş, Nihal Ege, Julius Kaplunov, and others on interdisciplinary projects involving fluid-structure interaction, thin shell dynamics, and layered media analysis. Her recent work includes the Multiscale Dynamics of Aerogel and Aerogel Composite Layers (2025) and Dynamics of a thin elastic coating (2025), which explore advanced materials and elastic structures. Earlier publications and projects, such as the 2221 Sabbatical Support Program (2023) and Thermoacoustic Image Reconstruction Based on Layered Tissue Model (2017), highlight her expertise in inverse problems and biomedical applications. Dr. Yücel has contributed to international journals like Journal of Applied Mechanics and Technical Physics and conferences such as SPIE Medical Imaging . While no specific awards are mentioned, her prolific publication record and collaborations underscore her contributions to applied mathematics and engineering sciences.

• Applied Mathematics
• Acoustics
• Mathematical Physics
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Professor Ender Mete Ekşioğlu serves in the Department of Electrical and Electronics Engineering at Istanbul Technical University, where he has held academic positions since 1999. His current role as Professor began in 2019 following progression from Associate Professor (2013-2019) and Assistant Professor (2005-2012) ranks. PhD in Electronics and Communication Engineering, Istanbul Technical University (2000-2005) Degree from University of Michigan (1994-1997) Additional studies at University of Michigan (1997-1999) Professor Ekşioğlu's research spans Machine Learning, Deep Learning, and advanced Signal Processing with emphasis on medical imaging applications. His work bridges traditional signal processing techniques with modern deep learning approaches, particularly in Magnetic Resonance Image Reconstruction where he applies sparsity principles and neural network architectures. Key focus areas include image denoising, segmentation, and enhancement across medical, underwater, and atmospheric imaging contexts. His publication trends demonstrate consistent innovation in imaging inverse problems, with recent work integrating pixel-level processing with physical modeling in underwater imaging and developing topological awareness for medical image segmentation. The research shows strong continuity between traditional signal processing methods (like DCT) and cutting-edge deep learning architectures. Professor Ekşioğlu has led six significant research projects funded by TUBITAK and BAP, including 'Deep Learning in Image Processing Inverse Problems' and 'Parallel magnetic resonance imaging techniques and applications'. These projects have resulted in substantial research output with applications spanning medical diagnostics to remote sensing. h-index of 13 based on Scopus citations 2000+ total research outputs Active supervision of 27 theses in progress His laboratory work focuses on imaging inverse problems, with particular strength in MRI reconstruction techniques that combine deep learning with recursive algorithms. Current research directions include topological awareness in segmentation networks and hybrid approaches that integrate traditional signal processing with neural networks for improved robustness.

• Machine Learning
• Deep Learning
• Signal Processing
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