Professor Alexander Kushpel is affiliated with Çankaya University, Faculty of Arts and Sciences, Department of Mathematics, Turkey, since 2018. He has held academic roles at the University of Leicester (2011-2016), State University of Campinas (1997-2001, 2006-2010), and Ryerson University (2001-2006). PhD in Mathematics, University of Leicester (2015) PhD in Mathematics, Universidade Estadual de Campinas (2009) PhD in Mathematics, Institute of Mathematics of the National Academy of Sciences of Ukraine (1992) His research focuses on Mathematical Analysis , Applied Mathematics , and Geometry , with emphasis on approximation theory, Fourier analysis, and operator entropy. Key article trends include n-widths, Sobolev classes on manifolds, and financial mathematics applications. He has advised Regis Leonardo Braguim Stabile (MSc thesis: "N-width of set of smooth functions on the sphere SD").
İlker Temizer is a Professor and Chair of Mechanical Engineering at Bilkent University, where he leads the Computational Multiscale Mechanics Laboratory (CMML). His research focuses on computational mechanics, multiscale-multiphysics modeling of heterogeneous materials, and interface behaviors. Research interests include computational homogenization techniques for materials and interfaces, thermomechanical contact problems, and isogeometric analysis. His work bridges theoretical mechanics with applied engineering solutions. Recent publications emphasize multiscale modeling in density functional theory, hydrodynamic lubrication texture optimization, and smart material design, demonstrating consistent innovation in computational mechanics methodologies.
Prof. Dr. Gökhan Apaydin is a full Professor at the Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences, Uskudar University. He holds a PhD from Bogazici University (2007) and has held academic positions at institutions including the University of Technology Zurich and a visiting role at the University of Illinois at Urbana-Champaign. His research focuses on computational electromagnetics, radio wave propagation, and numerical modeling techniques. Education: BSc (2001), MSc (2003), PhD (2007) in Electrical and Electronics Engineering from Bogazici University Research Interests: Electromagnetic diffraction modeling, MATLAB-based simulations, numerical methods (FDTD, MoM), surface wave propagation, and renewable energy systems. His work emphasizes practical applications in radio wave modeling and environmental impact assessments. Publications: His articles focus on diffraction phenomena, waveguide analysis, and tool development (e.g., PETOOL). Recent trends include hybrid numerical methods and real-world terrain modeling for radiowave prediction. Awards: Received TÜBİTAK Publication Incentive Awards (2021). Administration & Leadership: Serves as Deputy Head of the Electrical Engineering Department, chairs international committees (URSI), and oversees projects like the Electromagnetic Wave Propagation Package. Active in academic governance and Bologna Process coordination. Labs/Teams: Leads the Electromagnetic Research Group, focusing on wave propagation and measurement validation.
Assoc. Prof. Dr. Dursun Aksu is a faculty member at Sakarya University, Faculty of Education, Department of Basic Education. He holds the academic rank of Associate Professor and is actively engaged in teaching, research, and administrative leadership, currently serving as Deputy Dean of the Faculty of Education (2024–2025) and Head of the Department of Classroom Teaching (2022–2024). His research interests include Turkish language teaching, initial literacy, reading and writing instruction, textbook analysis, educational quality, and comparative education. He has authored numerous articles, books, and book chapters, and has participated in national and international research projects. His recent publications focus on challenges in distance literacy education, readability of Turkish textbooks, reflective teaching practices, and the impact of educational tools like pencil grips and smartboards. His work often involves comparative studies, particularly between Turkey and Hong Kong. He has supervised multiple master's theses and advised TÜBİTAK-supported student projects. He is actively involved in peer-review and editorial roles for various academic journals and conferences. Scientific Awards: Takdir Belgesi - 2004 Teşekkür Belgesi He teaches both undergraduate and graduate courses such as Turkish Language Teaching, Primary Reading and Writing Education, Neurological Basis of Reading, and Problems and Solutions in Turkish Language Teaching.
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.
Prof. Dr. Ahmet Sinan CEVIK is a Professor of Mathematics at the Department of Mathematics, Faculty of Science, Selcuk University, Konya, Turkey. He holds editorial roles in several journals including Guest Editor for special issues in Symmetry, Computer Modeling in Engineering & Sciences , and serves on the Advisory Board of TWMS Journal of Applied and Engineering Mathematics . His primary research interests span Combinatorial Group Theory, Graph Theory, Semigroup Theory, and Topological Indices, with a focus on algebraic structures, graph invariants, and their applications. Prof. CEVIK has authored numerous textbooks including Introduction to Algebra (multiple editions) and Lecture Notes - I: Some Topics of Combinatorial Group Theory . He has published over 100 peer-reviewed articles in high-impact journals like Proceedings of the Edinburgh Mathematical Society , Communications in Algebra , and Applied Mathematics and Computation . His research emphasizes Gröbner-Shirshov bases, group presentations, and topological indices of graphs. He has collaborated extensively with global researchers such as Prof. Kinkar Ch. Das, Ivan Gutman, and Ismail Naci Cangul. His work bridges algebraic structures with graph theory, contributing to both theoretical advancements and applied mathematical problems.
Dr. Hakan I. Tarman is a Professor at the Mechanical Engineering Department of Middle East Technical University (METU) , Ankara, Turkey. He is also affiliated with the Department of Engineering Sciences and interdisciplinary graduate programs in Biomedical Engineering (Biomechanics Group member since 2006, Program Coordinator 2015-2017) and Earth System Sciences. B.Sc. in Mechanical Engineering and Mathematics (Boğaziçi University, 1982) M.Sc. in Mechanical Engineering (Boğaziçi University, 1984) Ph.D. in Applied Mathematics (Brown University, 1989) His research focuses on Computational Mechanics , Hydrodynamic Stability , and Spectral Methods , including applications to thermal convection under magnetic fields, fluid-structure interactions, and biomedical flows. Recent publications highlight spectral solenoidal-Galerkin methods for convection and pipe flows, drag reduction via phase randomization, and photonic nanojet analysis. Key scientific contributions include projects funded by TÜBİTAK (e.g., 109M435) and METU-BAP (e.g., 2004-03-10-01). He has supervised numerous M.S. and Ph.D. theses on topics like Uncertainty Quantification , Shell Optimization , and Lattice Boltzmann Modeling . Courses taught : Numerical Methods, Spectral Methods, Hydrodynamic Instability, PDE Numerical Methods Labs/teams : Collaborates with Biomechanics Group; integrates spectral methods with biomedical and geophysical applications
Ömer DENİZ is a Lecturer in the Department of Clinical Sciences at the Faculty of Veterinary Medicine, Kastamonu University, Turkey. He has been serving in this position since 2023 as a full-time academician. His primary teaching responsibilities include courses such as Intern Education, Large Animal Internal Medicine, Clinical Practice, Veterinary Forensic Medicine, Emergency Clinical Medicine, and Clinical Examination Methods. Dr. DENİZ completed his Doctorate in Veterinary Internal Medicine from Erciyes University Institute of Health Sciences (2018-2022) and earned his Bachelor's degree in Veterinary Medicine from Uludağ University Faculty of Veterinary Medicine (2011-2017). His research focuses on Veterinary Internal Medicine , with particular emphasis on equine medicine, calf diseases, and immunology. Dr. DENİZ has made significant contributions to understanding respiratory diseases in horses, neonatal diarrhea in calves, and the effects of climate change on equine physiology. His work often involves biomarker discovery, diagnostic techniques including thermography, and immunological studies related to conditions like Rhodococcus equi pneumonia in foals. Analysis of Dr. DENİZ's publications reveals a strong focus on clinical veterinary research with practical applications. His recent work (2022-2025) shows increasing emphasis on equine medicine, particularly respiratory diseases and the impact of environmental factors on horse physiology. He has also maintained a consistent research interest in neonatal calf diseases, especially diarrhea, which formed the basis of his doctoral work. His publications span various methodologies including in vitro studies, clinical trials, and epidemiological investigations. Dr. DENİZ has been involved in numerous research projects, including: As Principal Investigator: "A new dermoscopic method study for diagnosis of skin problems in horses" (2023-2025) As Researcher: Multiple projects related to Rhodococcus equi infections, vitamin D3 immunomodulatory effects, adenosine metabolism in calves, and respiratory diseases in horses His collaborative network is extensive, working with colleagues at Kastamonu University, Erciyes University, and international researchers from Italy and Ireland. This collaborative approach has enriched his research in equine medicine and calf diseases.
Bengisen Pekmen is a Professor in the Department of Mathematics at TED University's Faculty of Arts and Sciences, serving concurrently as Vice Head of the Department. She holds a Scopus ID 57200550143 and teaches a wide range of mathematics courses, including Calculus, Linear Algebra, Numerical Methods, and Senior Project modules. Her research focuses on numerical analysis, fluid dynamics, magnetohydrodynamics (MHD), and machine learning applications in fluid flow modeling. Education: B.Sc./M.Sc./Ph.D. in Mathematics (with Physics minor) from Middle East Technical University (METU), Ankara, Turkey. Her research interests span numerical simulation of fluid dynamics problems, bioconvection flow, nanofluid behavior, and MHD effects in porous media. She employs techniques like radial basis functions (RBF), differential quadrature methods (DQM), and machine learning for predictive modeling. Publications (selected 2023–2025) analyze MHD Stokes flow, nanofluid convection in wavy enclosures, entropy generation, and bioconvection with magnetotactic bacteria. These studies emphasize interdisciplinary applications in engineering and environmental science.
Merve Gürbüz Çaldağ is an Assistant Professor in the Department of Mathematics at TED University. She specializes in numerical analysis and computational fluid dynamics, particularly focusing on magnetohydrodynamics (MHD), nanofluid dynamics, and machine learning applications in fluid mechanics. Her research integrates advanced numerical methods like Radial Basis Functions (RBF) and boundary element techniques to solve complex fluid flow problems under magnetic fields. Dr. Çaldağ has taught a wide range of courses, including Advanced Calculus, Linear Algebra, Differential Equations, and Probability Theory, across multiple academic terms from 2022 to 2026. Her teaching emphasizes both theoretical foundations and practical computational skills. Her research interests revolve around modeling fluid dynamics in constrained geometries, such as lid-driven cavities and constricted channels, under varying magnetic field conditions. Recent work involves applying machine learning to enhance predictive accuracy in MHD flow simulations and analyzing bioconvection dynamics involving magnetotactic bacteria. She has also explored numerical stability and optimization of RBF-based methods for solving unsteady MHD flow equations. Despite no listed awards, her contributions to computational fluid dynamics and MHD modeling are evident through over 15 peer-reviewed articles since 2015. She currently holds no grants or lab affiliations mentioned in the provided texts.
Dr. Alexander Goncharov is a Lecturer in the Department of Mathematics at Bilkent University, Turkey. His research focuses on functional analysis, approximation theory, and potential theory, with significant contributions to basis problems and extension operators. Research areas include: locally convex spaces, Whitney functions, extremal polynomials, generalized Julia sets, harmonic measures, and Widom factors. Active in scientific guidance at Master’s and PhD levels. Coordinator of Bilkent’s Analysis Seminar and editorial board member for mathematics journals. Contact: Office SA-122, Tel: +90-312-290-1923, goncha@fen.bilkent.edu.tr His recent work explores Cantor-type sets, polynomial asymptotics, and metric properties of harmonic measures, reflecting interdisciplinary connections between approximation theory and complex dynamics.
Assoc. Prof. Ali Şendur holds an Associate Professor position at the Department of Mathematics Education, Faculty of Education, Alanya Alaaddin Keykubat University. He obtained his Ph.D. in Mathematics from Izmir Institute of Technology (2012) and has held academic positions at institutions like Akdeniz University and Mediterranean University. His research focuses on applied mathematics, numerical analysis, and mathematics education technology integration. He has served in administrative roles including Head of Department, Vice Dean, and Erasmus Coordinator. Key educational qualifications include: Ph.D. in Mathematics, Izmir Institute of Technology (2012) M.Sc. in Mathematics, Dokuz Eylül University (2007) B.Sc. in Mathematics, Dokuz Eylül University (2002) Research interests span numerical methods for PDEs (convection-diffusion-reaction systems), finite element stabilization techniques, epidemiological modeling, and technology-enhanced mathematics education. Notable projects include design-based studies on Web 2.0 tools for teacher training and TÜBİTAK-funded research on mathematical applications. Recent publications emphasize hybrid numerical methods for singular perturbations, AI/AR integration in geometry education, and epidemiological modeling of health policies. He has received multiple TÜBİTAK awards for international scientific contributions (2012–2021).
Dr. Gullu Kızıltaş Şendur is an Associate Professor in the Mechatronics Engineering Department at Sabancı University's Faculty of Engineering and Natural Sciences in Istanbul, Turkey. She received her B.S. and M.S. degrees in Mechanical Engineering from Middle East Technical University in Ankara, Turkey in 1995 and 1998, respectively, and completed her Ph.D. in Mechanical Engineering at the University of Michigan, Ann Arbor in 2003. Her research spans multiple interdisciplinary fields with a focus on: Design Optimization of mechanical, biomedical and electromagnetic systems Material Design and Fabrication using topology optimization and advanced 3D fabrication techniques Computational Mechanics including advanced micro-material modeling and Finite Element Methods Electromagnetics applications for miniature antennas and RF devices Tissue Engineering for artificial tissues and organs Dr. Kızıltaş Şendur's recent work demonstrates a strong trend toward additive manufacturing, multi-material design, and computational methods for creating functionally graded structures. Her research integrates computational design with experimental validation across mechanical engineering, biomedical applications, and electromagnetic systems. She has developed novel optimization frameworks that bridge multiple disciplines to solve complex engineering problems. Her scientific achievements have been recognized with prestigious awards including: 2008 Graduating Class Teaching Award from Sabancı University 2008 TUBA-GEBIP (Young Scientist Award) from the Turkish Academy of Sciences Dr. Kızıltaş Şendur has successfully advised numerous graduate students through their M.Sc. and Ph.D. programs, with many continuing to academic and research careers at institutions worldwide. She leads the 3D Systems Design and Realization Research Laboratory at Sabancı University's Nanotechnology Research and Application Center (SUNUM), which provides state-of-the-art facilities for multi-disciplinary research. Her laboratory focuses on the modeling and fabrication of multi-functional micro/nanostructures, with applications spanning mechanical engineering, biomedical devices, and electromagnetic systems. The group maintains strong collaborations with international research institutions and industry partners to advance the frontiers of computational design and advanced manufacturing.
Professor YASEMİN ALANAY is a distinguished academic and clinician at Acibadem Mehmet Ali Aydinlar University School of Medicine, Department of Medical Sciences. She has held significant leadership positions including Dean of the Medical School from 2015-2022 and currently serves as Manager of the Research and Application Center since 2023. Prior to joining Acibadem University in 2011, she was affiliated with Hacettepe University where she completed her medical training and advanced her career in pediatric genetics. Her research interests span Pediatric Genetics, Skeletal Dysplasias, Genetic Bone Diseases, Medical Genetics, Child Health and Diseases, and Undiagnosed Rare Diseases. Dr. Alanay's work has significantly contributed to understanding the genetic basis of skeletal disorders, particularly through her discovery of the FKBP10 gene in osteogenesis imperfecta during her postdoctoral fellowship at UCLA-Cedars Sinai Medical Center. Her research has evolved from gene identification to treatment development and addressing undiagnosed patients. Analysis of her recent publications reveals a strong focus on rare genetic disorders, with particular emphasis on skeletal dysplasias like achondroplasia. Her work on vosoritide treatment represents significant clinical contributions to growth disorder management. She has also pioneered research in undiagnosed diseases, whole-genome sequencing diagnostics, and international collaborative approaches to rare disease research through initiatives like the Undiagnosed Hackathon. Hacettepe Science Promotion Award (2010) Dr. Alanay has advised numerous thesis projects (3 listed in metrics) and has been instrumental in securing research funding for rare disease studies. Her leadership extends to international collaborations, having organized the International Skeletal Dysplasia Society meeting in Istanbul in 2015 and serving as its President. She was a Board Member of the European Society of Human Genetics from 2012-2017 and served on their Scientific Program Committee from 2018-2021. She established the Skeletal Dysplasia Database at Hacettepe University, which enabled multinational collaborations in gene identification research. As a clinical geneticist and dysmorphologist, she was part of the Multidisciplinary Craniofacial Team at Hacettepe, establishing cohorts for undiagnosed craniofacial and craniosynostosis patients. Her current work continues to focus on advancing diagnostics and treatments for rare genetic disorders through her research center at Acibadem University.
Rüştü Murat Demirer serves as an Assistant Professor in the Department of Electrical and Electronics Engineering at Işık University's Faculty of Engineering and Natural Sciences. His academic career spans decades with active teaching responsibilities including Biomedical Engineering courses such as Clinical Care Informatics, Biosignal Processing, and Medical Imaging since at least 2012 across multiple institutions including Işık University and Bahçeşehir University. His educational foundation includes: PhD in Biomedical Engineering from Boğaziçi University (1983-2002) MS in Energy from Istanbul Technical University (1980-1982) BS in Electronics and Communications Engineering from Kocaeli University (1976-1980) Dr. Demirer's research integrates Biomedical Engineering with cutting-edge computational neuroscience, focusing on Bioelectronics, Artificial Intelligence applications, and Neuroscience. He pioneers methodologies for analyzing brain dynamics through EEG/ECoG signal processing, entropy-based biomarker development, and machine learning algorithms for neurological and psychiatric conditions. His work bridges theoretical neuroscience with clinical applications in epilepsy, bipolar disorder, and brain-computer interfaces. Analysis of his publication trends reveals strong interdisciplinary convergence between neuroscience, biomedical engineering, and artificial intelligence. Key methodological themes include Hilbert transform applications, nonlinear dynamics in brain signals, entropy quantification for psychiatric diagnostics, and hybrid machine learning approaches for medical signal classification. This research trajectory demonstrates consistent innovation in translating complex brain signal analysis into clinically relevant diagnostic tools. Dr. Demirer has actively mentored 11 graduate students (10 Master's and 1 PhD) between 2013-2025. His advisees' research spans diverse applications including: Machine learning for cybersecurity threat detection Cryptocurrency market analysis using predictive modeling EEG/eye-tracking fusion for cognitive decision studies Medical diagnostics through convolutional neural networks Natural language processing for offensive language detection He maintains professional engagement as a member of the Chamber of Electrical Engineers (Elektrik Mühendisleri Odası) while teaching specialized courses across biomedical engineering, cybersecurity, and data science domains.
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