جست‌وجوی استاد و پژوهشگر

Erhan Gülmezمشاهده پروفایل

استاد

• Experimental Nuclear Physics
• High Energy Physics
• Medical Physics
• +۳ مورد دیگر

Erhan Gülmez is a Professor at Boğaziçi University's Department of Physics, affiliated with the College of Engineering. He holds a visiting professorship at the University of Iowa and has been a CMS experiment member at CERN since 1999. His academic journey includes a double major in Physics and Electrical Engineering from Boğaziçi University (1982) and a PhD in Physics from Yale University (1986), focusing on high angular momentum structure in nuclei. Education: 1978: 7th in Turkey's national university entrance exam 1982: Double Major in Physics and Electrical Engineering, Boğaziçi University 1985: MS and M.Phil. in Physics, Yale University 1986: PhD in Physics, Yale University (Thesis: 'High Angular Momentum Structure in A~140 Nuclei') Research Interests: His work spans experimental nuclear physics, high-energy physics, and medical physics, with a focus on collider experiments such as CMS at CERN. Key areas include Higgs boson studies, dark matter searches, and jet physics. He contributes to detector development, notably the CMS-HF calorimeter, and has coordinated projects on radiation damage monitoring and heavy ion studies. Awards: Boğaziçi University Outstanding Achievement in Research Award (1999, 2012) TÜBİTAK Incentive Award (1996) Grants & Projects: He leads TÜBİTAK and TAEK projects on CMS detector upgrades, B-physics, and jet analysis. Recent projects include radiation damage monitoring (2021–present) and di-jet studies (2009–2013). His work also involves data analysis frameworks and machine learning techniques for background estimation. Teaching: He instructs core physics courses including Nuclear Physics (Physics 466), Elementary Particle Physics (Physics 472), and specialized topics in experimental physics.

Müjdat Çetinمشاهده پروفایل

استاد

• Signal Processing
• Image Processing
• Data Science
• +۱۲ مورد دیگر

Müjdat Çetin is a Professor of Electrical and Computer Engineering and serves as the Robin and Tim Wentworth Director of the Goergen Institute for Data Science and Director of the New York State Center of Excellence in Data Science at the University of Rochester. He previously held faculty positions at Sabancı University and was a Research Scientist at MIT, with visiting roles at Boston University, Northeastern University, and MIT. Education: PhD in Electrical Engineering, Boston University, 2001 MS in Electrical Engineering, University of Salford, 1995 BS in Electrical Engineering, Boğaziçi University, 1993 His research lies at the intersection of signal processing, machine learning, and data science, with applications in biomedical imaging, radar, and brain-computer interfaces. He develops probabilistic and deep learning models for robust information extraction from noisy and complex data. His work emphasizes computational imaging, sparse representations, and multimodal data fusion. The recent publications reflect a strong trend toward integrating Bayesian methods and deep learning in imaging sciences, particularly in medical image reconstruction, neuroimaging analysis, and radar systems. His group actively explores transformer architectures, federated learning, and model-based deep learning for solving inverse problems in imaging. Scientific Awards and Honors: IEEE Fellow IEEE Signal Processing Society Best Paper Award IET Radar, Sonar and Navigation Premium Award Elsevier Signal Processing Best Paper Award Turkish Academy of Sciences Distinguished Young Scientist Award (GEBİP) ODTÜ Mustafa Parlar Foundation Research Incentive Award TÜBİTAK Career Award Boston University Best Engineering Research Award Professor Cetin has advised numerous PhD and Master’s students and led significant research grants in data science and imaging. He has served as a Senior Area Editor for IEEE Transactions on Image Processing and IEEE Transactions on Computational Imaging, and held editorial roles in several top journals. He has chaired major conferences including ICASSP, ICIP, and IVMSP workshops. He leads a multidisciplinary research group focused on data science and imaging, collaborating with neuroscientists and medical researchers. The team develops novel algorithms for brain-computer interfaces, medical image analysis, and remote sensing systems, often integrating machine learning with physical models of data acquisition.

• Atomic and Molecular Physics
• Quantum Mechanics
• High-Order Harmonic Generation
• +۱۹ مورد دیگر

Prof. ERDİ ATA BLEDA is a Professor in the Department of Physics at Marmara University, Faculty of Arts and Sciences . He earned his Ph.D. in Physics and Astronomy from Clemson University (2008) and has held academic positions at both Marmara University and Istanbul Arel University. His research spans atomic and molecular physics, computational quantum chemistry, high-order harmonic generation, and machine learning applications in materials science. Doctorate: Clemson University, Physics and Astronomy (2004–2008) Postgraduate: Clemson University (2002–2004) Undergraduate: Marmara University, Physics (1997–2001) His research interests include atomic and molecular interactions , quantum mechanical modeling , nonlinear optical processes , plasma spectroscopy , and machine learning in material properties prediction . He employs computational methods such as DFT, TDDFT, and kinetic Monte Carlo simulations to study molecular systems, confined atoms, and nanostructures. His recent work explores twisted bilayer graphene using machine learning and high-harmonic generation from endofullerenes. The most recent publications reflect a strong trend in computational materials discovery , atomic-scale simulation , and quantum phenomena in confined systems . His work integrates physics, chemistry, and computer science, often with applications in nanotechnology and astrophysics. Themes include dielectronic recombination in plasmas, hydrogen bonding in organic molecules, and electronic structure analysis of novel carbon systems. His scientific awards include: In recognition of passion and dedication to improving student learning with Pearson’s MasteringPhysics (2013) Second Place in Physics Mef National Project Competition (1997) He supervises several graduate and doctoral students, with recent theses on machine learning in 2D nanostructures and parallelization of Green’s function methods. He has led multiple TÜBİTAK-funded research projects integrating GPU computing and quantum modeling. He also serves as the Erasmus Program Institutional Coordinator and has held leadership roles in academic commissions. He has contributed to scientific software development and holds patents in interactive data management systems. He is actively involved in research laboratories and teams focusing on computational physics, quantum chemistry, and high-performance computing. His group collaborates internationally and presents regularly at major physics and quantum chemistry conferences.

Emre Onur Kahyaمشاهده پروفایل

استاد

• Cosmology
• Quantum Gravity
• Inflationary Theories
• +۵ مورد دیگر

Emre Onur Kahya is a Professor at the Department of Physics Engineering, Istanbul Technical University. His primary research focuses on theoretical cosmology, quantum gravity, and inflationary physics. He has been the Principal Investigator (PI) on multiple projects funded by TÜBİTAK and BAP, including studies on adiabatic modes, conformally coupled scalars during inflation, and optimization methods in artificial learning. His work addresses fundamental questions in cosmology such as observational tensions in cosmic models, quantum effects on scalar fields, and gravitational wave physics. He has received notable awards including the Young Scientist Award (2016), Mustafa Parlar Research Encouragement Award (2017), and the GEBİP Outstanding Young Scientist Award (2015). His publications span topics like Horndeski gravity, Carrollian fermion quantization, and constraints on gravitational wave delays using IceCube data. Kahya’s research also involves collaborations on testing modified gravity models, dark energy survey results, and pulsar timing experiments. Key projects include studies on adiabatic solutions on limited manifolds, constraint equations in quantum gravity, and inflationary attractors. His work bridges theoretical frameworks with observational data, contributing to advancements in cosmological models and quantum field theory in curved spacetime.

Ömer Kemal Kınacıمشاهده پروفایل

استاد

• Propeller Engineering
• Vortex-induced Vibration
• Computational Fluid Dynamics
• +۵ مورد دیگر

Ömer Kemal Kınacı is a Professor at the Department of Shipbuilding and Ocean Engineering at Istanbul Technical University, specializing in naval architecture, vortex-induced vibrations, and computational fluid dynamics. His research spans hydrodynamic performance of marine vehicles, renewable energy systems, and AI-driven control algorithms for autonomous navigation. Core Expertise: Vortex-induced vibrations, CFD, ship maneuvering, marine renewable energy Current Projects: Digital twin platforms, collision avoidance algorithms, hydrokinetic energy farms Research Trends: Recent work focuses on integrating machine learning for ship course-keeping in waves, life cycle assessment of VIV energy systems, and modular control instrumentation for marine crafts. His projects emphasize sample-efficient reinforcement learning and techno-economic analysis of offshore energy farms. Awards & Recognition: Recipient of the Prof. Dr. M. Kemal Karhan Başarı Ödülü (2023), multiple Performance and Publication Awards , and the Doktora Özel Ödülü (2023).

• Hydrology
• Coastal Sciences and Engineering
• Water Resources and Water Structures

Prof. Dr. Mehmet Özger is a faculty member at the Civil Engineering Department of Istanbul Technical University . His research focuses on Hydrology , Coastal Sciences and Engineering , and Water Resources and Water Structures . PhD in Water Engineering (2003) MSc in Hydroelectronics (2001) BSc in Civil Engineering (1999) His work spans climate change impacts , urban water systems , groundwater management , and coastal engineering . He leads major projects on managed aquifer recharge , stormwater modeling , and flood risk assessment in Istanbul. Recent publications emphasize machine learning applications in hydrology, multi-criteria decision frameworks for water resource planning, and GIS-based vulnerability assessments . He has supervised 23 theses and contributed to technical reports on Turkish Straits hydrodynamics and urban drainage systems . Prof. Özger serves as Principal Investigator (PI) for projects like Online Drought Monitoring Model (2021-2023) and Seismic Infrastructure Damage Model (2023-2024). His research group uses hybrid models combining discrete wavelet decomposition , genetic programming , and stochastic gradient boosting for water-climate interactions. He directs the Hydraulics Laboratory at ITU Ayazağa Campus and teaches graduate courses in Computational Hydraulics and Water Resources Systems .

Atabey Kaygunمشاهده پروفایل

استاد

• Topology
• Geometry
• Algebra
• +۶ مورد دیگر

Prof. Dr. Atabey Kaygun is a full-time Professor at the Department of Mathematics within the Faculty of Letters at Istanbul Technical University. His primary research focuses on pure mathematics including Topology, Geometry, Algebra, and Number Theory, with significant contributions to applied fields like Topological Data Analysis and Quantum Algebra. He holds a PhD from Ohio State University and has held academic positions internationally including at Bahçeşehir University, Max Planck Institute for Mathematics, and the University of Buenos Aires. Research Interests: Prof. Kaygun's work bridges theoretical mathematics with computational applications. His core expertise includes: Algebraic topology (Cyclic Homology, Hochschild Cohomology) Quantum algebra (Hopf algebras, Quantum Groups) Computational topology (Persistent Homology, Topological Data Analysis) Interdisciplinary applications in machine learning and Ottoman historical analysis Publication Trends: His recent articles (2018-2024) demonstrate a dual focus: Theoretical developments in noncommutative geometry and quantum algebras Applied computational methods for topological data analysis and historical text mining Emerging work in educational data mining and stochastic process classification Research Projects & Advising: He leads projects funded by Istanbul Technical University's BAP program: Lefschetz Numbers and Cartan Determinant Conjecture (2022-2024) Dold-Kan Theorem for Crossed Simplicial Groups (2021-2022) Relationships between Topological Data Analysis and Machine Learning (2020-2022) Currently supervising 14 graduate theses in mathematics and computational methods.

Temel SÖNMEZOCAKمشاهده پروفایل

استادیار

• Machine Learning
• Biomedical Signal Processing
• Power Systems
• +۷ مورد دیگر

Dr. Temel SÖNMEZOCAK is an Assistant Professor at Dogus University's Faculty of Engineering, Department of Electrical and Electronics Engineering. He holds a PhD in Electronic Engineering from Yildiz Technical University (2021), a Master's in Electrical-Electronic Engineering from Istanbul Aydin University (2015), and a Bachelor's in Electrical Education from Marmara University (2001). Current Institution: Dogus University Academic Rank: Assistant Professor Discipline: Electrical and Electronics Engineering His research spans machine learning applications in biomedical diagnostics (EMG/EEG), power systems optimization (transformers, harmonic filters), robotics control systems (Kalman filters), and signal integrity in electronic circuits. Recent work focuses on UAV health monitoring via MEMS sensors and crosstalk reduction strategies in transmission lines. Key publication trends include collaborations with colleagues like Coşkun Süleman and Yildiz Merih, with a strong emphasis on experimental validation in electrical systems and biomedical applications. Publications appear in journals like Engineering Science and Technology , IEEE Transactions on Power Delivery , and Biomedical Signal Processing and Control . Scientific Awards: None explicitly mentioned Advising: No student names provided Grants/Projects: Not specified in text

Erman BENLİمشاهده پروفایل

دانشیار

• Civil Law
• Law and Economics
• Property Law
• +۴ مورد دیگر

Assoc. Prof. Dr. Erman BENLİ serves as Associate Professor in the Department of Civil Law at Ankara Social Sciences University (ASBU) Faculty of Law. He concurrently holds administrative roles as Assistant Director of ASBU's Continuing Education Centre and serves as Editor of the Digital Law Review. His academic career spans both legal academia and private sector consultancy in Regulation and Competition Law. Bilkent University Faculty of Law (LL.B, 2008) Bilkent University, Economic Law (MSc, 2009) Bilkent University Faculty of Law, Private Law (PhD, 2017) University of Chicago Law School, Coase-Sandor Institute Certificate Program (2017) Dr. BENLİ adopts an interdisciplinary Law and Economics approach, utilizing both qualitative and quantitative research methods. His primary research focuses on Property Law, Obligations Law, and Personalized Law frameworks, with significant contributions to Telecommunications Law through economic analysis of peering agreements. He champions active teaching methodologies including the Socratic Method to foster critical thinking among students. His publication portfolio demonstrates strong integration of economic principles into Civil Law domains, particularly in Tort Law applications to emerging technologies like AI and digital platforms. Recent works explore personalized liability standards, mortgage guarantee functions, and regulatory challenges in telecommunications infrastructure. Dr. BENLİ has successfully supervised two Master's students while providing project-based consultancy to leading organizations. His research extends to practical applications through projects like the Social Sciences University of Ankara-supported study on Telecommunications Peering Agreements, which informed his University of Chicago certificate program completion. As an academic innovator, he directs continuing education initiatives and shapes digital law discourse through editorial leadership. His work consistently bridges theoretical legal frameworks with real-world regulatory challenges in Turkey's evolving legal landscape.

• Thermodynamics
• Heat Transfer
• Renewable Energy Systems
• +۵ مورد دیگر

Ahmet Selim Dalkılıç is a Full Professor at the Department of Mechanical Engineering, Yıldız Technical University, Istanbul, Turkey. His academic career spans over 15 years of top-tier research performance, with global recognition as a top 100 researcher in condensation and top 600 in heat transfer by ScholarGPS, and among the top 2% of scientists by Stanford University. Education: B.S., M.S., and Ph.D. in Mechanical Engineering from Yıldız Technical University Post-Ph.D. Work: King Mongkut's University of Technology Thonburi, Thailand (2006-2007) Research Focus: Thermal sciences with specialization in Single- and two-phase heat transfer CFD and machine learning applications Nanofluids and hybrid nanofluids Enhanced heat exchangers and microchannels HVAC systems and thermal comfort His work integrates experimental, numerical, and ML techniques for energy-efficient solutions. Publications & Recognition: Over 350 peer-reviewed publications, Editor-in-Chief of the Journal of Thermal Engineering (Q3, SCOPUS) and Sigma Journal of Engineering and Natural Sciences . Annual top-researcher awards from Yıldız Technical University since 2021.

Ersin Korkmazمشاهده پروفایل

دانشیار

• Transportation Engineering
• Civil Engineering
• Optimization Algorithms
• +۳ مورد دیگر

Ersin Korkmaz is an Associate Professor in the Department of Civil Engineering at Kırıkkale University , specializing in Transportation Engineering . His academic journey includes dual bachelor's degrees from Erciyes University (Electrical and Civil Engineering, 2011-2012), a master's degree in 2016, and a doctorate in 2019. Expertise in optimization algorithms (flower pollination, differential evolution, YOLO-based models) Research focuses on transportation energy demand, smart traffic systems, and UAV-based intersection analysis Developed hybrid AI control systems for signalized intersections Contributor to bibliometric studies in banking and accounting sectors His work bridges civil engineering and computational methods, with recent publications analyzing traffic safety, energy forecasting, and infrastructure optimization. Notable trends include integration of metaheuristic algorithms for transportation modeling and applications of drone imaging in urban mobility.

• Soil Science
• Soil-Water Conservation
• Soil Surveying and Mapping
• +۳ مورد دیگر

Dr. Nurullah ACİR is a Lecturer in the Department of Soil Science and Plant Nutrition at Kırşehir Ahi Evran University. He holds a PhD (2014) and Master's (2010) in Soil Science from Gaziosmanpaşa University, alongside a BSc in Plant Production (2007). Current roles: Faculty Lecturer (2014–), Center Manager (2025–, Part-Time) Prior roles: Department Head (2014–2017, 2021–2024), Academician at Gaziosmanpaşa University (2010–2014) His research focuses on soil quality assessment , geospatial analysis , and land degradation mitigation in semi-arid and Mediterranean regions. He specializes in soil surveying, tillage system impacts, and soil-water conservation strategies, with a strong emphasis on sustainable agricultural practices and desertification prevention. Recent publications highlight his work on machine learning applications for soil fertility prediction, clay mineral spatial variability , and comparative soil quality studies across Turkey’s regions. His research integrates remote sensing, GIS, and analytical hierarchy processes to address salinity, carbon storage, and ecosystem service assessments. Scientific Awards : 2012-2013 Group Achievement Award in Engineering and Science, Gaziosmanpaşa University He has collaborated extensively with researchers like Prof. Hikmet Günal, Dr. İsmail Çelik, and Dr. Mesut Budak on projects funded by TÜBİTAK, TÜBA, and international agencies. His work spans soil conservation, tillage optimization, and environmental sensitivity mapping, with over 83 publications and a h-index of 16 (Google Scholar).

• Mechanical Engineering
• Biomedical Device Technology
• Machine Theory and Dynamics
• +۴ مورد دیگر

MUSTAFA OĞUZ NALBANT is a Lecturer at Manisa Celal Bayar University's Soma Vocational School , Department of Electronics and Automation. With a doctorate in Mechanical Engineering (2019-2022) and postgraduate/undergraduate degrees from Yildiz Technical University and Bayburt University, he focuses on vibration analysis in mechanical systems, biomedical device technology, and noise-induced health effects in mining environments. Education Doctorate (2019-2022), Manisa Celal Bayar University Postgraduate (2014-2016), Yildiz Technical University Undergraduate (2009-2013), Bayburt University His research spans Mechanical Engineering , Nanotechnology , and Occupational Health . Recent works include nonlinear vibration studies of stepped nanobeams using nonlocal elasticity theory, statistical analysis of noise exposure in underground mining, and dynamic modeling of elevator systems. His publications appear in journals like Zeitschrift für Naturforschung and Advances in Nano Research , with citations reflecting interdisciplinary impact. Notable trends in his publications include: Nonlocal elasticity modeling in nanostructures Noise pollution and physiological health effects Linear graph method for mechanical systems Projects include TUBITAK-funded science festivals and physiologic noise impact studies in mining sectors.

• Theory of Probability
• Theory of Statistics
• Stochastic Processes
• +۶ مورد دیگر

İsmihan Bayramoğlu is Professor of Mathematics and Statistics and former Dean of the Faculty of Arts and Sciences at Izmir University of Economics, Turkey, serving in the deanship from 2001 to 2022. His academic career spans Azerbaijan State University, the Azerbaijan Academy of Sciences, and Ankara University, where he became a Turkish citizen in 1999. His educational background includes: Applied Mathematics at Baku State University (1976-1981) PhD in Computational Mathematics, Theory of Probability and Mathematical Statistics at National Taras Shevchenko University of Kiev (1984-1988) Bayramoğlu's research centers on order statistics , copulas , and reliability analysis , with significant contributions to distribution characterization and statistical inference. His work bridges theoretical probability with practical applications in engineering and data science, emphasizing bivariate and multivariate models. Recent publications (2020-2023) reveal a focus on bivariate distributions, exceedance statistics, and reliability applications, demonstrating consistent innovation in statistical methodology. His articles frequently address coherent systems, random threshold models, and distributional properties. His scientific recognition includes: Ankara University Science Award (2001) Bayramoğlu serves as Editor-in-Chief of the Journal of Turkish Statistical Association and has organized major international conferences including the International Conference on Advances in Statistics (ICAS), which he chairs. His editorial work spans multiple journals as associate and guest editor. He leads the ICAS symposium series, fostering global collaboration through events in Helsinki, Zagreb, Athens, and St. Petersburg, and has delivered keynote addresses at conferences across 10+ countries.

Hande Öztürkمشاهده پروفایل

استادیار

• Materials Science
• Nanomaterials Characterization
• X-ray Diffraction
• +۵ مورد دیگر

Dr. Hande Öztürk is an Assistant Professor in the Department of Mechanical Engineering at Özyeğin University since August 2018. She specializes in computational analysis of X-ray diffraction from nanomaterials, with a focus on developing data analysis tools and experimental methodologies. Her academic journey includes a PhD in Materials Science and Engineering from Columbia University (2015), an M.S. in Mechanical Engineering from Boston University (2009), and a dual undergraduate degree in Mechanical Engineering and Physics from Boğaziçi University (2007). Education Doctorate: Materials Science and Engineering, Columbia University (2015) Master's: Mechanical Engineering, Boston University (2009) Bachelor's: Mechanical Engineering & Physics, Boğaziçi University (2007) Her research focuses on powder diffraction , X-ray diffractive characterization methods , and theory of diffraction from nanomaterials . She has contributed to advancements in computational algorithms for characterizing nanocrystalline materials and experimental designs for X-ray imaging of nanoparticles smaller than 20 nm. Prior to joining Özyeğin University, she worked as a postdoctoral research associate at Brookhaven National Laboratory (2016–2018) and as a lecturer/postdoctoral researcher at Columbia University (2015–2016). Dr. Öztürk's work bridges computational modeling with experimental X-ray techniques, emphasizing the structural analysis of nanoscale materials. While her publications are not detailed here, her research aligns with materials science , nanotechnology , and computational physics . She has no listed scientific awards in the provided texts. Labs & Collaborations Hard X-ray Nanoprobe beamline group, Brookhaven National Laboratory (2016–2018) Özyeğin University Mechanical Engineering department (2018–present)