جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Quantum Computing
• Theoretical Computer Science
• +۳ مورد دیگر

Cem Say is a Professor in the Department of Computer Engineering at Boğaziçi University's Faculty of Engineering, where he has established himself as a leading researcher in theoretical computer science and artificial intelligence. His academic journey began with the completion of his doctoral dissertation titled Qualitative System Identification in 1992, which was the first thesis of Boğaziçi University's Computer Engineering PhD program. Professor Say's research interests span multiple domains of computer science, with significant contributions to quantum computing, artificial intelligence, and theoretical computer science. His early work focused on qualitative reasoning and simulation, particularly through the QSIM algorithm, where he made significant improvements to filtering techniques and addressed challenges in representing physical systems. Over time, his research evolved toward quantum computation, where he has made substantial contributions to quantum finite automata theory, space-bounded quantum computation, and quantum complexity classes. His recent work explores the energy complexity of computation, bridging theoretical computer science with thermodynamics. His publication record shows a clear evolution from classical AI and qualitative reasoning toward quantum computation. The most recent articles demonstrate his focus on space-bounded quantum computation, energy complexity of regular languages, and interactive proof systems with minimal resources. His work consistently addresses fundamental questions about computational limits, particularly in quantum and sublogarithmic-space models. Professor Say has also made significant contributions to science communication through several books written for general audiences, including 50 Soruda Yapay Zekâ (2018), Yeni Dünya, Yeni Ağ (2020), and En Hakiki Mürşit (2021), which explain complex concepts in artificial intelligence and scientific methodology in accessible terms. Throughout his career, Professor Say has been actively involved in the Turkish academic community, editing proceedings for multiple Turkish symposia on artificial intelligence and neural networks. His doctoral dissertation established foundational work in qualitative system identification, and his subsequent research has consistently pushed boundaries in theoretical computer science, particularly in quantum computation where he has collaborated extensively with Abuzer Yakaryılmaz and other researchers.

• Film Studies
• Postmodernism
• Cinema Analysis
• +۳ مورد دیگر

Asst. Prof. Dr. Emre Doğan serves as the Head of the Radio, Television and Cinema Department at Istanbul Gelişim University's Faculty of Fine Arts. His research focuses on film theory, postmodernism, and the intersection of cinema with scientific and philosophical concepts. He has published extensively on directors like Christopher Nolan, David Fincher, and Terrence Malick, analyzing themes of modernity, postmodernity, and narrative innovation. Academic Roles: Department Head, Radio, Television and Cinema Research Themes: Postmodern cinema, science fiction narratives, ideological film criticism, and temporal storytelling His recent work includes analyzing Nolan’s Tenet through modernity/postmodernity duality and exploring David Fincher’s use of simulation theory. He employs interdisciplinary approaches, combining sociology, philosophy, and film history in his analyses. Publications span topics like hybrid narratives in cinema history, comparative studies of political films, and the philosophical underpinnings of science fiction. His contributions reflect a deep engagement with both classical and contemporary cinematic practices.

Serdar Özoğuzمشاهده پروفایل

استاد

• Active RC Filters
• Nonlinear Electronic Circuits
• Analog IC Design
• +۳ مورد دیگر

Professor Serdar Özoğuz is a full faculty member at the Department of Electronics and Communication Engineering , Istanbul Technical University . Holding a Ph.D. from ITU (2000) and a M.Sc. from ITU (1993) , he has taught courses like Active Network Synthesis , Basics of Electrical Circuits , and Scientific Research Ethics since 2014. His research focuses on Active RC filters Nonlinear electronic circuits Analog integrated circuit design Network synthesis . His recent publications emphasize machine learning applications in RF/microwave design , quantum computing for CAD tools , and emerging memory devices . The department's Devreler ve Sistemler Laboratuvarı Çok Geniş Ölçekli Tümdevre (VLSI) Tasarımı Laboratuvarı likely support his work. Despite no explicit awards listed, his 15+ recent articles in high-impact journals underscore his technical contributions.

DUYGU KOÇAKمشاهده پروفایل

دانشیار

• Measurement and Evaluation in Education
• Educational Statistics
• Assessment Methods
• +۳ مورد دیگر

Assoc. Prof. Duygu Koçak is an academic at Alanya Alaaddin Keykubat University's Faculty of Education, specializing in Measurement and Evaluation in Education. She holds a Ph.D. from Ankara University (2016) and conducted postdoctoral research at the University of Toronto (2018-2019). Her roles include Associate Professor, Department Head, and Deputy Head of Department at her current institution. Her research focuses on educational measurement, psychometrics, and statistical methodologies in education. Her academic journey includes positions at Adıyaman University (2014-2016) and lecturing roles since 2016. She has authored/co-authored over 30 peer-reviewed articles on topics like test validity, Monte Carlo simulations, and learning disabilities. Notable works include the 'Academic Jealousy Scale' (2019) and studies on homework impact (2020). Dr. Koçak has contributed to edited volumes on data analysis and measurement tools. She serves as a referee for journals like the Journal of Measurement and Evaluation in Education and Psychology and has presented at international conferences on educational statistics and assessment.

• Educational Measurement and Evaluation
• Psychometrics
• Test Development
• +۷ مورد دیگر

Prof. Dr. Nuri Dogan is a Professor at Hacettepe University, Faculty of Education, Department of Educational Sciences, where he serves as Head of the Department of Educational Sciences since 2021 and previously as Head of the Department of Measurement and Evaluation in Education since 2019. He earned his BA (1996), MA (1999), and PhD (2002) from Hacettepe University's Department of Educational Measurement and Evaluation. After working as a research assistant (1998-2002) and lecturer (2003-2010), he became an Associate Professor in 2011 and a full Professor in 2016. He conducted post-doctoral research at University of Massachusetts-AMHERST under Ronald K. Hambleton in 2014-2015 with a TÜBİTAK scholarship. His research focuses on educational measurement and evaluation, psychometrics, test development, classical test theory, item response theory, and computerized adaptive testing. He teaches courses on measurement and evaluation in education, test development, scaling techniques, classical test theory, psychological foundations of measurement, research techniques, computerized measurement applications, and various other topics related to educational assessment. His extensive body of work demonstrates strong expertise in educational assessment methodologies, with particular emphasis on the technical aspects of measurement and evaluation. Dogan's publication record shows a clear progression from foundational work in classical test theory to more sophisticated applications in computerized adaptive testing and multistage testing. His recent work (2023-2024) reveals a strong focus on practical applications of measurement theory in large-scale assessments like PISA, with increasing integration of data mining and machine learning approaches. His research spans both theoretical psychometrics and practical applications across various educational contexts. Scientific Awards: TÜBİTAK scientist support program (BİDEP) scholarship for post-doctoral research at University of Massachusetts-AMHERST Prof. Dogan has supervised 55 graduate students (28 master's and 27 PhD candidates) whose research spans educational measurement, psychometrics, test development, and various applications of assessment methodology. His research projects include significant work on computerized adaptive testing, multistage testing, measurement invariance, and large-scale international assessments like PISA. He has received multiple research grants from TÜBİTAK and other national and international funding bodies. Prof. Dogan also chairs the Board of Directors of the Association for Measurement and Evaluation in Education and Psychology (EPODDER) and has been actively involved in numerous national and international research projects related to educational assessment and measurement.

• 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.

Saadet Erbayمشاهده پروفایل

استاد

• Applied Mathematics
• Nonlinear Wave Equations
• Elasticity Theory
• +۳ مورد دیگر

Saadet Erbay is a Professor in the Department of Mathematics at Özyeğin University's School of Arts and Sciences. Her career spans institutions like Istanbul Technical University, Isik University, and University of Victoria (Canada). She specializes in Applied Mathematics, focusing on nonlinear wave equations and elasticity theory, with significant contributions to modeling wave propagation in elastic media. PhD (1988): Mathematics, Istanbul Technical University MSc (1982): Mathematical Engineering, Istanbul Technical University BSc (1980): Mathematical Engineering, Istanbul Technical University Her research explores nonlinear wave dynamics, including the Camassa-Holm and Boussinesq equations, with applications in elasticity and fluid mechanics. Recent publications analyze convergence properties, numerical methods, and stability of wave equations. Notable awards include the TUBITAK Incentive Award (1994) and the Sedat Simavi Science Award (1996). She serves in professional societies such as the Turkish Mathematical Society, AMS, and SIAM.

• Fluid Mechanics
• Coastal Sciences and Engineering
• Numerical Modeling
• +۱۵ مورد دیگر

Cihan Bayındır is an Associate Professor at Istanbul Technical University's Faculty of Civil Engineering, Department of Civil Engineering, specializing in fluid mechanics, coastal engineering, and computational methods. His research integrates advanced mathematical techniques with practical engineering applications across multiple disciplines. His primary research areas include Fluid Mechanics, Coastal Sciences and Engineering, Numerical Modeling, Fluid Physics, Acoustics and Vibrations, Nonlinear Dynamics, and Quantum Hydrodynamics. Bayındır's work demonstrates a strong interdisciplinary approach, bridging traditional civil engineering with cutting-edge computational methods and quantum phenomena. His research has significant applications in coastal protection, renewable energy systems, disaster management, and infrastructure resilience. Analysis of his recent publications reveals a clear trend toward applying artificial intelligence and machine learning techniques to traditional civil engineering challenges. His work increasingly focuses on using compressive sensing, deep learning (particularly LSTM networks), and fuzzy logic systems to solve complex problems in wave dynamics, vibration analysis, and tsunami prediction. The integration of quantum computing concepts with classical fluid mechanics represents another distinctive aspect of his research portfolio. ITU Doctoral Special Award-2024-Advisor (2025) ITU 2023 Academic Performance Award (2024) Turkish Academy of Sciences (TUBA) Outstanding Young Scientist Award (GEBİP) (2022) Elsevier Frontiers Article Award (2020) Kaleidoscope Award (American Physical Society, 2016) Bayındır leads multiple research projects funded by ITU's Scientific Research Projects Unit (BAP), including studies on dam break wave propagation using fractional equations, optimization of wave energy concentrators with AI methods, and three-dimensional vibration control in marine structures. His work involves collaborations with international institutions, including previous engagement with CERN on accelerator design. He maintains an active research laboratory focused on hydraulics and coastal engineering, with specialized equipment for wave and vibration analysis in the Hydraulics Laboratory HL 216 at ITU.

Hüsnü Ata Erbayمشاهده پروفایل

استاد

• Applied Mathematics
• Nonlinear Partial Differential Equations
• Numerical Methods
• +۳ مورد دیگر

Hüsnü Ata Erbay is a Professor of Mathematics at Ozyegin University, Istanbul, Turkey, and a member of the Science Academy of Turkey. He has held academic positions at Istanbul Technical University, TUBITAK Marmara Research Institute, University of Victoria (Canada), and Isik University. He served as Director of the Graduate School of Science and Engineering at Isik University from 2004 to 2010 and joined Ozyegin University in 2011, where he is currently the head of the Department of Natural and Mathematical Sciences. B.S., M.S., and Ph.D. in Mathematics from Istanbul Technical University (1980, 1982, 1988) His research focuses on applied mathematics, particularly the analysis of nonlinear partial differential equations, numerical methods for nonlinear PDEs, nonlinear dispersive and hyperbolic waves, and continuum mechanics with an emphasis on nonlinear elasticity. His recent work involves strain-limiting elasticity, nonlocal wave equations, and solitary wave solutions. The latest articles highlight trends in modeling strain-limiting materials, dispersive wave dynamics, and numerical schemes for nonlinear elasticity. These studies often bridge mathematical theory with physical applications in continuum mechanics. Scientific awards include: TUBITAK Incentive Award (Mathematics, 1994) Sedat Simavi Science Award (1996) Ozyegin University Faculty Excellence Award in Research (2016) Ozyegin University Faculty Excellence Award in Service (2023) He is affiliated with the Turkish Mathematical Society, the Turkish National Committee for Theoretical and Applied Mechanics, and SIAM (Society for Industrial and Applied Mathematics).

• Fracture Mechanics
• Structural Mechanics
• Reinforced Concrete Structures

Assoc. Prof. Ahmet Abdullah Donmez holds an academic position at the Civil Engineering Department of Istanbul Technical University (ITU), within the Civil Engineering Faculty. His primary research focuses on Fracture Mechanics, Structural Mechanics, and Reinforced Concrete Structures. He has a PhD in Structural Engineering from ITU (2015) and has held roles such as Doctorate Lecturer and Research Assistant at ITU and Northwestern University. His work includes contributions to understanding size effects in concrete structures, fracture mechanics of quasibrittle materials, and computational modeling of concrete behavior. Research highlights include studies on shear testing of reinforced concrete beams, gap test analysis for fracture models, and structural strength scaling laws. He has collaborated with notable researchers like Zdenek P. Bazant. His publications span journals like the Journal of Structural Engineering and Engineering Structures, with a focus on experimental and computational methods to improve structural design codes. Notable contributions include re-evaluating phase-field and peridynamics models, analyzing shear capacity of concrete sections, and investigating mesh reinforcement effects. His work addresses challenges in extrapolating test data for material behavior prediction and improving failure criteria in structural engineering.

Namık Çıblakمشاهده پروفایل

استادیار

• Mechanical Engineering
• Machine Design
• Robotics
• +۵ مورد دیگر

Assistant Professor Namık Çıblak is affiliated with Yeditepe University's Faculty of Engineering, Department of Mechanical Engineering. He has held academic positions since 1992, including roles at Georgia Southern University and American University of the Middle East. PhD in Mechanical Engineering (Georgia Institute of Technology, 1997) MS in Mechanical Engineering (Middle East Technical University, 1989) BS in Mechanical Engineering (Middle East Technical University, 1986) His research spans Mechanical Design , Robotics , and Biomechanics , focusing on stiffness analysis, parallel manipulators, and medical device development. Recent work explores soliton motions in continua and neural network applications in muscle imaging. Prominent publications include: 2021: Kinematic Condition For Soliton Motions of an n-dimensional Continuum 2019: Leveraging artificial neural networks for muscle meshing 2018: Resolution of the Vibrating String Controversy 2013: Variable Tension String Model Scientific contributions include: Silver Medal, Istanbul International Invention Fair Multiple patents in mechanical systems and surgical devices He has supervised 12+ graduate theses and led major projects including: TÜBİTAK-funded Biomechatronic Robotic Snake (2015-2018) Energy Harvesting Sensor for Tire Pressure Monitoring (2018-) Heart Turcica Centrifugal Blood Pump Development

• General Physics
• Nuclear Physics
• Electromagnetism
• +۳ مورد دیگر

Turgay SEYDİOĞLU is a full-time Lecturer at Kastamonu University's Vocational School in the Department of Electronics and Automation, serving since 2002. His academic credentials include a PhD in Materials Science and Engineering from Kastamonu University (2024), an MSc in Physics from Gazi University (2007), and a BSc in Physics Engineering from Ankara University (1997). His educational background comprises: PhD in Materials Science and Engineering, Kastamonu University (2019-2024) MSc in Physics, Gazi University (2004-2007) BSc in Physics Engineering, Ankara University (1991-1997) Dr. SEYDİOĞLU's research spans General Physics, Nuclear Physics, Electromagnetism, Semiconductors, Superconductors, and Electronics. His experimental work focuses on hydrothermal synthesis of ZnO nanorods and YBCO-family superconductors, investigating doping effects and growth parameters on structural, optical, and electrical properties. Current projects examine gadolinium/nickel doping in ZnO and rare-earth substitutions in Y-358 superconductors. His 13 publications (2007-2024) predominantly explore zinc oxide nanomaterials and high-temperature superconductors. Key themes include hydrothermal synthesis optimization, rare-earth/transition metal doping effects, and comprehensive characterization of mechanical, dielectric, and crystallographic properties, bridging materials science and electronic engineering applications. Dr. SEYDİOĞLU teaches undergraduate courses including DC Circuit Analysis, Basic Electronics, and Physics while collaborating extensively with Kastamonu University researchers like Sedat Kurnaz and Özgür Öztürk. His work shows growing academic impact with 20 citations and h-index 3 (Google Scholar), though no thesis supervision or research projects are documented.

• Fractional Calculus
• Mathematical Biology
• Nonlinear Dynamics
• +۳ مورد دیگر

Bahar Acay Öztürk is an Assistant Professor of Mathematics at Firat University. Her research focuses on fractional calculus, mathematical biology, and nonlinear dynamics with applications to epidemiology, control theory, and engineering systems. She has contributed to modeling infectious diseases (e.g., MRSA, HIV, pine wilt disease) and developing fractional-order models for physical systems like electrical circuits and building temperature dynamics. Research Interests: Fractional calculus applications in epidemiology and engineering Nonlinear dynamical systems analysis Control theory and boundary value problems Real-world data-driven modeling of infectious diseases Thermal and mechanical systems modeling Recent Publications: Her 2025 work on MRSA contamination models highlights fractional calculus' utility in epidemiology. In 2024, she analyzed guinea-worm disease eradication strategies using fractional frameworks. Earlier work includes a 2021 study on fractional HIV models with real-world data validation and analysis of electrical circuits under non-local operators. Grants & Advising: No specific grants or advisees listed in current data. Collaborations include researchers like Abdullahi Yusuf and Mustafa Inc on interdisciplinary projects. Labs/Teams: Engaged in cross-disciplinary teams applying fractional calculus to biomedical and engineering challenges, though specific lab affiliations are not detailed.

Hakan Demirمشاهده پروفایل

پژوهشگر

• Chemical Engineering
• Materials Science
• Computational Chemistry
• +۳ مورد دیگر

Hakan Demir is a researcher at Ozyegin University's Faculty of Engineering, Department of Chemical Engineering. His work combines computational chemistry and material science to advance gas separation technologies. Education B.S. Chemical Engineering, Middle East Technical University (2009) M.S. Chemical Engineering, Middle East Technical University (2011) Ph.D. Computational Chemistry, Georgia Institute of Technology (2016) Research Focus Hakan Demir's research centers on: Designing novel porous materials (e.g., MOFs, COFs) Modeling gas adsorption/diffusion in porous media Integrating machine learning with molecular simulations for material prediction Developing solutions for CO2/CH4 separation, CF4 removal, and biogas upgrading His work addresses energy and environmental challenges through computational approaches and has been published in high-impact journals. Projects He leads a TUBITAK 3501 project focused on developing ionic liquid/MOF composites for natural gas separation using classical molecular simulation and machine learning.

• Condensed Matter Physics
• Semiconductor Nanostructures
• Quantum Transport
• +۳ مورد دیگر

Engin ÇİÇEK serves as a Lecturer in the Department of Physics at Trakya University's Faculty of Science, where he has maintained continuous academic employment since 2002 as a Research Assistant with PhD. His career is anchored in theoretical condensed matter physics with specialized expertise in semiconductor nanostructures, complemented by administrative responsibilities as Career Unit Manager at the Institute of Natural and Applied Sciences since 2014. His academic foundation includes a Bachelor's degree (2001), Master's degree (2004), and PhD (2010), all in Physics from Trakya University. His graduate research focused on quantum confinement effects, with his Master's thesis examining "Effects of Geometry, Electric Field and İmpurity Position on Binding Energy in Quantum Wires" and his doctoral dissertation investigating "Electronic Properties of One-Dimensional Electron Gas". ÇİÇEK's research program centers on electronic phenomena in low-dimensional semiconductor systems, particularly quantum dots, wells, and wires. He investigates how external parameters—including electric fields, laser radiation, hydrostatic pressure, and temperature—modulate fundamental properties like binding energy, self-polarization, and transition energies. His methodological approach combines theoretical modeling with numerical simulations to analyze impurity states and electron gas behavior in nanostructures, primarily using GaAs/AlAs heterostructures. Analysis of his 15 most recent publications (2005-2025) reveals consistent thematic focus on geometric factors, impurity positioning, and external field effects in quantum-confined systems. His work demonstrates increasing sophistication in handling multi-parameter interactions, with recent publications (2023-2025) exploring complex configurations like multi-material quantum wells and tetragonal quantum dots under combined perturbations. The majority of his research appears in specialized physics journals including Indian Journal of Physics and Physica Status Solidi. His scholarly impact is evidenced by an h-index of 8 and 129 citations as of January 2025. Teaching responsibilities encompass a comprehensive physics curriculum, including laboratory instruction and theoretical courses spanning quantum physics, condensed matter, classical mechanics, and mathematical physics. Professional metrics include a YÖKDİL English proficiency score of 75, supporting his international scholarly engagement.