جستجوی استاد راهنمای دانشگاهی

Ozcan Ozturkمشاهده پروفایل

استاد

• Heterogeneous Computing
• Hardware Accelerators
• GPU Computing
• +۷ مورد دیگر

Ozcan Ozturk is a Professor in the Computer Science and Engineering and Electronics Engineering programs at Sabancı University's Faculty of Engineering and Natural Sciences. Previously, he held professorships at Bilkent University and adjunct roles at North Carolina State University. His expertise spans heterogeneous computing, parallel systems, processor architecture, and compiler optimization. He earned his Ph.D. from Penn State University, with prior academic roles at the University of Florida and internships at Intel and Marvell. Education: Ph.D. in Computer Science and Engineering (2007), Pennsylvania State University M.S. in Computer Engineering (2002), University of Florida B.Sc. in Computer Engineering (2000), Bogazici University Research interests include accelerator technologies, GPU-based systems, multicore processors, and compiler optimizations. His work focuses on improving parallelization efficiency, energy optimization, and reliability in heterogeneous architectures. He leads funded projects like 'Machine Learning for Compiler Flags' and 'Graph Accelerator Design'. Notable awards include the Bilkent Teaching Award (2019), BAGEP (2018), and HiPEAC Paper Award (2016). He serves on editorial boards of IEEE and ACM journals and chairs major conferences like ASPLOS and ICS. Grants and collaborations include partnerships with Huawei, Intel, NVIDIA, and TÜBİTAK. He advises over 20 students and has supervised projects in safety-critical systems, FPGA accelerators, and compiler-directed optimizations. His lab develops domain-specific architectures, including RISC-V extensions for graph processing.

Ahmet ÖZMENمشاهده پروفایل

استاد

• Computer Vision
• Traffic Monitoring Systems
• Sensor Systems
• +۶ مورد دیگر

Prof. Dr. Ahmet ÖZMEN is a Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Software Engineering. He has held various administrative positions including Head of the Software Engineering Department (2019-2028) and Director of the Computer Research and Application Center (2019-2022). With extensive experience in academia since 1991, he has made significant contributions to computer vision, traffic monitoring systems, and sensor technologies. Sakarya University: Professor (2019-present), Associate Professor (2011-2019) Dumlupınar University: Assistant Professor (2001-2011), Research Assistant (2000-2001, 1993-1998) Istanbul Technical University: Research Assistant (1991-1993) Prof. ÖZMEN's research spans computer vision applications for traffic monitoring, indoor air quality systems, parallel computing, and sensor technologies. His work bridges theoretical computer science with practical engineering applications, particularly in developing vision-based systems for nighttime vehicle detection, traffic flow monitoring, and environmental sensing. His interdisciplinary approach combines machine learning, image processing, and embedded systems to solve real-world problems in transportation and environmental monitoring. His publication record shows a clear evolution from parallel and distributed systems in his early career to computer vision and sensor applications in recent years. The majority of his recent work focuses on traffic monitoring systems using computer vision techniques, particularly for nighttime conditions, and indoor air quality monitoring systems using sensor networks. His research demonstrates strong industry and societal relevance, with applications in smart transportation, environmental protection, and educational technology. TÜBİTAK Publication Awards (2006, 2008, 2009, 2010) Physical implementation award from TÜBİDER (2008) Microsoft Certified Professional Certificate (2005) YÖK overseas study scholarships (1993, 1998) Elginkan graduate scholarships (1990, 1991) Prof. ÖZMEN has supervised numerous graduate students across multiple institutions, with a focus on practical engineering problems. His research has been supported by various projects including TÜBİTAK projects, institutional research grants, and industry collaborations. He has led significant research initiatives in traffic monitoring systems, indoor air quality monitoring, and educational technology platforms. His administrative leadership has included directing research centers and shaping curriculum development in software engineering. His work has involved establishing research teams focused on computer vision applications, sensor network development, and educational technology. These teams have produced numerous publications, developed practical systems, and trained the next generation of computer engineers. Current research directions include advanced traffic monitoring systems using deep learning and multi-camera setups for urban planning applications.

• High-Energy Physics
• Particle Physics
• Proton-Proton Collisions
• +۵ مورد دیگر

Muammer Altan Çakır is a Professor in the Department of Physics Engineering at Istanbul Technical University, actively engaged in high-energy physics research with significant contributions to the CMS Collaboration at CERN. His work focuses on proton-proton collisions, Higgs boson physics, and top quark studies using Large Hadron Collider data. His research interests span experimental particle physics with emphasis on proton-proton collisions , Higgs boson characterization , lepton physics , and transverse momentum analysis . Recent work explores charm baryon production, Drell-Yan processes, and muon identification techniques using advanced multivariate methods in the CMS detector. Analysis of his 15 most recent publications reveals a strong focus on precision measurements in high-energy collisions, particularly in Higgs physics (3 publications), top quark physics (2), and detector optimization (2). His work consistently addresses fundamental questions in the Standard Model through advanced statistical techniques and large-scale data analysis. Doktora sonrası araştırma bursu (2010) Landes Baden Württenberg Doktorarbeit Stipendium (2006) LPC Fall Guest Visitor Faculty (2017) Multiple Performans ödülü awards (2012, 2013, 2015) Professor Çakır has supervised 15 students and leads multiple research projects including GPU-based distributed computing platforms for big data processing, real-time predictive maintenance systems, and deep learning applications for top quark spin correlation studies. His current projects integrate generative AI with domain-specific physics research while developing scalable open-source big data architectures for industrial applications. His laboratory work centers on CMS detector data analysis, with recent focus on online data visualization tools and multivariate techniques for particle identification. Current projects explore GPU-accelerated computing frameworks and generative AI applications for physics-informed design systems.

• Structural Engineering
• Optimization
• Mechanics of Solid Bodies
• +۵ مورد دیگر

Prof. İbrahim Aydoğdu is an Associate Professor at Akdeniz University, Faculty of Engineering, Department of Civil Engineering , with a concurrent Associate Professor role at Georgia Institute of Technology, Engineering Faculty, Mechanical Engineering . His career spans structural engineering, metaheuristic optimization, and thermohydraulic systems. PhD in Engineering Sciences from Middle East Technical University Postdoctoral research at Georgia Institute of Technology His research focuses on structural optimization , steel and composite structures , and metaheuristic algorithms . He has supervised 13 theses, including projects on seismic isolation, nanoscale beam optimization, and public transport efficiency. His work emphasizes computational methods for structural design, with funded research from TUBITAK and higher education institutions. Key trends in his 96 publications include applications of artificial bee colony algorithms , social spider optimization , and GPU-based parallel programming in civil and mechanical engineering contexts. He has contributed to books on harmony search methods and nature-inspired algorithms in structural design.

Can Alkanمشاهده پروفایل

دانشیار

• Bioinformatics
• Computational Genomics
• Combinatorial Algorithms
• +۵ مورد دیگر

Can Alkan is an Associate Professor in the Department of Computer Engineering at Bilkent University, leading the Alkan Lab for Bioinformatics & Computational Genomics. His research focuses on algorithmic approaches for analyzing genomic data, including structural variation discovery, hardware acceleration, and pangenomics. He holds a Ph.D. and B.Sc. from Bilkent University and a postdoctoral fellowship from the University of Washington. Education: Postdoctoral Fellow at University of Washington (2005-2011), Ph.D. in Computer Science from Case Western Reserve University (2005), B.Sc. in Computer Science from Bilkent University (2000). Research Interests: Combinatorial algorithms for bioinformatics, high-throughput sequencing analysis, structural variation discovery, and hardware/software co-design for genomic workloads. Recent Work: Contributions to tools like mrFAST, TARDIS, and GateKeeper-GPU, advancing genomic sequence analysis and acceleration techniques. Collaborates with global institutions on computational genomics projects.

• GPU Computing
• Parallel Processing
• Computer Architecture
• +۵ مورد دیگر

Ayşe Yılmazer Metin is an Assistant Professor in the Department of Computer Engineering at Istanbul Technical University's Faculty of Computer and Informatics. Her research focuses on computer architecture, GPU computing, and hardware security, with significant contributions to parallel processing systems and cryptographic implementations. Her educational background includes: PhD from Northeastern University (2010-2013) Degree from University of Rhode Island (2004-2007) Licence from Hacettepe University, Department of Computer Engineering (1991-1998) Dr. Yılmazer Metin's research interests center around GPU architecture and parallel computing systems. Her work addresses critical challenges in synchronization mechanisms for multi-GPU systems, power and energy measurement of embedded GPUs, and efficient implementations of cryptographic algorithms on specialized hardware. She has developed novel approaches to scope promotion in GPU environments, which significantly reduce communication overhead in multiprocessor systems. Her recent work has expanded into healthcare applications, developing privacy-preserving systems for real-time ECG monitoring and exploring homomorphic encryption techniques for secure computation. Her publication record shows a clear trajectory from fundamental GPU architecture research toward security applications and healthcare technology. Early work focused on GPU synchronization and memory management, while more recent publications demonstrate applications in secure medical systems and homomorphic encryption. This evolution reflects a strategic expansion of her core expertise in computer architecture into security-critical domains where hardware-level optimizations can provide significant advantages. Dr. Yılmazer Metin has served as Principal Investigator on multiple research projects: "Time-Critical Job Management in Multi-CPU + Multi-GPU Distributed Heterogeneous Systems" (2018-2019) "A Single-Processor GPU Architecture for More Efficient Graph Algorithms" (2018-2021) "Programmable Synchronization Architecture" (2018-2022) Her laboratory work focuses on GPU architecture and hardware security, with particular emphasis on developing efficient implementations of cryptographic algorithms on GPU platforms and optimizing graph neural network inference on heterogeneous computing systems.

• Electromagnetics
• Computational Electromagnetics
• Transformation Electromagnetics
• +۷ مورد دیگر

Ozlem Ozgun is a Professor in the Department of Electrical and Electronics Engineering at Hacettepe University, Ankara, Turkey. She serves as Vice Dean of the Faculty of Engineering (2021-present) and previously held leadership roles including Department Vice Chair (2017-2020) and Chair of the Electromagnetic Fields and Microwave Techniques Division (2021-2024). Her academic journey includes positions at TED University as Founding Department Chair (2012-2015) and at Middle East Technical University-Northern Cyprus Campus as Assistant Professor (2008-2012). Education: Ph.D (2007): Middle East Technical University, Dept. of Electrical and Electronics Engineering M.Sc (2001): Bilkent University, Dept. of Electrical and Electronics Engineering B.Sc (1998): Bilkent University, Dept. of Electrical and Electronics Engineering Professor Ozgun's research focuses on computational electromagnetics with emphasis on transformation electromagnetics, finite element methods, and radio wave propagation. Her work bridges theoretical electromagnetics with practical applications in radar systems, antenna design, and wireless communications. She has pioneered techniques using coordinate transformations to solve complex electromagnetic problems, developing innovative methods for modeling scattering phenomena, wave propagation, and metamaterial applications. Her research has significant implications for radar cross-section reduction, microwave imaging for medical applications, and 5G communication systems. Analysis of her recent publications reveals a consistent focus on advancing computational techniques in electromagnetics, particularly through transformation optics and domain decomposition methods. Her work shows increasing integration of machine learning approaches with traditional electromagnetic modeling, especially in radar cross-section analysis and inverse synthetic aperture radar techniques. There's also a strong emphasis on practical tools development, with multiple software packages released for public use including PETOOL, GO+UTD, and VectGUI. Scientific Awards: Hacetepe Science Award (2024) IEEE Antennas and Propagation Society Distinguished Lecturer (2025-2027) Top 2% of the 'career-long impact' category in the world's most influential scientists list (2023-2024) URSI elevation to senior membership (2020) IEEE elevation to senior membership (2013) Prof. Dr. Leopold B. Felsen Award for Excellence in Electromagnetics (2009) Professor Ozgun has supervised 15 graduate students to completion, with research spanning radar cross-section computation, electromagnetic scattering, and microwave imaging. She has secured multiple research grants including TÜBİTAK-TEYDEB and TÜBİTAK-ARDEB projects focused on high-frequency radar analysis and electromagnetic modeling. Her professional service includes significant editorial roles and leadership positions in URSI-Turkey where she served as President of the Steering Committee (2018-2023). She is actively involved in developing computational tools for electromagnetic education and research, with several MATLAB-based applications available for public use. Her research group maintains strong collaborations with international institutions including Penn State University, and she has established a productive research environment focused on advancing computational electromagnetics through innovation in numerical methods and practical applications.

Husnu Yenigunمشاهده پروفایل

استاد

• Automata Theory
• Concurrency Theory
• Formal Methods
• +۵ مورد دیگر

Husnu Yenigun is a Professor at Sabanci University's Computer Science and Engineering Program , Faculty of Engineering and Natural Sciences (Istanbul, Turkey). He earned his BSc, MSc, and PhD in Electrical and Electronics Engineering from Middle East Technical University (Ankara) in 1992, 1995, and 2000 respectively. His professional career includes roles at TUBITAK (1992-1997), Bell Laboratories (1997-1998), and as a consultant at Bell Labs (1999-2000). Research interests: Dr. Yenigun specializes in automata and concurrency theory, formal methods, software quality assurance, model checking, and complexity relief techniques for software verification. His work bridges theoretical automata analysis with practical testing frameworks. Key publication trends: His recent work spans automata synchronization (2018-2021), matrix optimization (2017-2018), and adaptive testing sequences (2016-2018), with applications in Wireless positioning systems Finite state machine verification Parallel computing Formal method implementations Professional activities: He serves on technical program committees for major conferences like MODELSWARD, QRS, and ICTSS (2016-2025). He chaired the programming committee for ICTSS 2013 and 2017, and co-chaired UYMS 2018. He also acted as guest editor for the International Journal on Software Tools for Technology Transfer (2016). Contact: yenigun@sabanciuniv.edu | Office: FENS 2054, Sabanci University

• Artificial Intelligence
• Large Language Models
• Computer Vision
• +۷ مورد دیگر

Şener Özönder is a Full-time Associate Professor at Bogazici University, leading the Özönder Lab. His research focuses on AI agents, large language models, computer vision, and AI applications in drug discovery, materials science, and industrial cost prediction. He oversees a computing infrastructure with two 4U GPU servers (6 NVIDIA RTX 4090 GPUs) and a NAS storage system. His research interests include AI-accelerated drug discovery, nanomaterials design via AI/quantum mechanics, and on-device AI agents for real-time API interactions. Key projects include an AI-based drug discovery platform (TÜBİTAK-funded), EU-funded EUPilot for AI accelerator chips, and cloud-based battery monitoring systems (BatteLLIGENCE). Özönder advises four MS students on topics such as LLM agents and cost prediction from engineering drawings. His work bridges physics-inspired AI models with computational quantum mechanics, reflecting his background in both theoretical physics and modern AI applications. Recent projects span nano-material discovery (TÜBİTAK 3501), automotive cost estimation (TÜBİTAK 1711), and vulnerability analysis in post-quantum cryptography (TÜBİTAK BİLGEM). His articles explore AI-driven materials discovery, quantum dot design, and high-energy physics phenomena like gluon saturation and azimuthal correlations in collider experiments. The lab’s infrastructure supports large-scale simulations and machine learning workloads, with a focus on interdisciplinary innovation.

• Computer Architecture
• Multi-core Systems
• Fault-Tolerant Computing
• +۴ مورد دیگر

Dr. Işıl Öz is an Assistant Professor in the Computer Engineering Department at Izmir Institute of Technology (IZTECH). She holds a B.Sc. and M.Sc. in Computer Engineering from Marmara University and a Ph.D. from Boğaziçi University. Before joining IZTECH in 2018, she worked as a postdoctoral researcher and ERCIM/Marie Curie Fellow at the Swedish Institute of Computer Science (SICS). Her research focuses on computer architecture, performance optimization, and reliability of multi-core systems, with a strong emphasis on fault-tolerant computing and GPGPU applications. Key projects include the TÜBİTAK-funded FTGPGPU initiative analyzing hardware fault tolerance for GPU applications. She teaches courses such as Operating Systems, Advanced Computer Architecture, and Parallel Programming Patterns. Her work spans machine learning-based vulnerability prediction, compiler design for reliable execution, and approximation techniques for efficient parallel computing. Publications appear in venues like ACM Computing Surveys, The Journal of Supercomputing, and International Journal of Parallel Programming. Awards: ERCIM/Marie Curie Fellowship Labs/Teams: Parsiyte Research Group (focused on parallel and distributed systems) Grants: TÜBİTAK ARDEB 3501 (FTGPGPU project)

Akhlaque Ahmadمشاهده پروفایل

استادیار

• Algorithms
• Computer Networks
• Theoretical Computer Science
• +۴ مورد دیگر

Dr. Akhlaque Ahmad is an Assistant Professor in Software Engineering at TED University's Faculty of Engineering. He earned his Ph.D. in Electronics and Telecommunications from Politecnico di Torino, Italy, with industry experience at STMicroelectronics Milano and contributions to EU FP7 REVERIE project on virtual tele-immersion systems. His research spans: High-performance computing architectures Parallel algorithms for graph processing GPU optimization techniques Intelligent systems design Professor Ahmad teaches courses including Database Systems, Artificial Intelligence, and Operating Systems. He actively promotes interdisciplinary connections between software engineering and liberal arts education.

Cihan Topalمشاهده پروفایل

دانشیار

• Computer Vision
• Image Processing
• Deep Learning
• +۷ مورد دیگر

Cihan Topal is an Associate Professor in the Department of Artificial Intelligence and Data Engineering at Istanbul Technical University, Faculty of Computer and Informatics. He has previously held academic positions at Eskişehir Technical University and Anadolu University in the Department of Electrical and Electronics Engineering. He also served as a Research Fellow at the University of Surrey's Centre for Vision, Speech and Signal Processing (CVSSP) from 2019 to 2020. His research interests span a wide range of topics in computer science and artificial intelligence, including Computer Vision , Image Processing , Deep Learning , Semantic Segmentation , Edge Detection , and Human-Computer Interaction . His work emphasizes both theoretical innovation and practical applications in industrial and medical imaging. His recent publications demonstrate a strong focus on semantic segmentation , defect detection , domain adaptation , and deepfake detection , often leveraging attention mechanisms and spectral methods. He has led research on GPU-accelerated image filtering and developed novel edge detection algorithms such as Edge Drawing. IEEE Member (2005–2017) Former R&D Director and Co-founder at Visea Innovative IT Technologies Industry experience at Siemens Corporate Research Dr. Topal has advised numerous graduate students on topics related to AI and image analysis. He is currently leading a research project on 3D semantic segmentation of medical images using a novel 2D convolution-based ESA architecture. His scholarly output includes over 60 publications with significant citations, reflecting an active and impactful research trajectory.

• Computational Fluid Dynamics (CFD)
• Fluid Mechanics
• Biomedical Engineering
• +۴ مورد دیگر

Prof. Cuneyt Sert is a faculty member in the Department of Mechanical Engineering at Middle East Technical University (METU), where he teaches courses such as Fluid Mechanics, Numerical Methods, and Computational Fluid Dynamics (CFD). His academic rank is Professor, reflecting his extensive contributions to research and education. He actively supervises graduate students, including PhD candidate Burcu Ramazanlı, whose work on abdominal aortic aneurysm hemodynamics led to a 2024 publication in the Journal of Thermal Science and Technology. Prof. Sert's research focuses on CFD, fluid dynamics, and biomedical applications. His studies on hemodynamics, turbulence, and material response in aerospace systems have produced influential papers since 2000. He is known for developing innovative numerical methods, such as adaptive discontinuous Galerkin techniques and CUDA-based parallel CFD solvers. His work bridges engineering education and industry, with projects on cryocooler optimization, metro aerodynamics, and grid fin aerodynamics. In teaching, Prof. Sert is praised for his student-centered approach, detailed lecture notes, and rigorous assignments. He emphasizes practical skills like MATLAB and C programming, though some students note concerns about workload and attendance policies. His courses, such as ME 310 (Numerical Methods) and ME 485 (CFD), are recognized for their rigor and real-world relevance. Prof. Sert’s contributions extend to interdisciplinary collaborations, including biomedical acoustics and material science. He has pioneered GPU-accelerated CFD tools and contributed to the design of microchannel heat exchangers. Despite no explicit awards listed, his peer reviews highlight his dedication to fostering critical thinking and problem-solving in students, earning him recognition as one of METU’s most respected educators.

Altuğ Başolمشاهده پروفایل

استادیار

• Computational fluid dynamics
• Parallel programming
• Computing with GPU accelerators
• +۵ مورد دیگر

Dr. Altuğ Başol serves as an Assistant Professor in Mechanical Engineering at Özyeğin University's Faculty of Engineering in Istanbul, Turkey. His academic career bridges advanced computational techniques with practical industrial applications in fluid dynamics and thermal engineering. Education: PhD in Mechanical Engineering, ETH Zurich, Switzerland (2013) MSc in Mechanical Engineering, Boğaziçi University, Turkey (2007) BSc in Chemical Engineering, Boğaziçi University, Turkey (2004) Dr. Başol's research program centers on computational fluid dynamics with specialization in parallel programming and GPU-accelerated computing. His work develops application-specific numerical tools for industrial process optimization, with particular focus on turbomachinery design. He has extensive industry collaboration experience, having worked with leading turbine and compressor manufacturers during his postdoctoral research at ETH Zurich to improve machinery performance and reliability. His research emphasizes harnessing modern multi-core and many-core hardware architectures for engineering simulations. Current Research Projects: Wind comfort assessment of Özyeğin University Campus (TUBITAK 1001 project) Development of Furnace Design and Analysis Software with graphics-accelerated Monte Carlo Ray Tracing Joint research project with Ford Otosan on heavy commercial vehicle under-hood thermal modeling Teaching: Thermodynamics (ME 202) Numerical Analysis (Math 214) Computational Methods for Engineers (ME 418/518) Computational Fluid Dynamics (ME 419/519) Dr. Başol actively recruits graduate students with strong backgrounds in thermal/flow modeling and programming languages including C, C++, and Fortran for research positions that provide hands-on experience with industrial-scale engineering problems.

Baran Kaynakمشاهده پروفایل

استادیار

• Cloud Manufacturing
• Blockchain Technology
• Resource Allocation
• +۵ مورد دیگر

Baran Kaynak serves as an Assistant Professor in the Department of Information Systems Engineering at Sakarya University's Faculty of Computer and Information Sciences, where he has held academic positions since 2013 (promoted from Lecturer to Assistant Professor in 2022). His institutional affiliation spans teaching, research, and project leadership within Turkey's higher education framework. His educational trajectory culminates in a Doctorate in Industrial Engineering from Sakarya University (2012-2021) with thesis work on Blockchain-Based Cloud Manufacturing Model , preceded by a Master's degree (2011-2013) focusing on wireless sensor networks in manufacturing logistics and a Bachelor's in Industrial Engineering (2007-2011) from the same institution. Dr. Kaynak's research integrates cloud computing, blockchain, and AI to solve industrial and environmental challenges. Core contributions include hybrid decision support systems for cloud manufacturing resource allocation using genetic algorithms and AHP, GPU-accelerated solar potential analysis tools, and custom web components for earth science data (e.g., Geo-WC for NOAA/USGS integration). His work bridges theoretical algorithms with practical implementations in manufacturing, renewable energy, and hydrological systems. Recent publications (2023-2025) reveal expanding applications: digital twin frameworks for urban flood analysis, IoT platforms for hydrological education (HydroSignal), and mmWave sensor-based anomaly detection in assembly lines. These works consistently demonstrate cross-disciplinary innovation, particularly in adapting blockchain for secure resource sharing and developing real-time analytics for environmental monitoring. He leads the UZEP project (2020), a Sakarya University-funded cloud-based distance education platform developed during the pandemic. While no formal student advisees are listed, his research includes student consultancy services using AI for course grade prediction and adaptive neuro-fuzzy systems for academic success modeling. Dr. Kaynak collaborates with Sakarya University's Distance Education Research and Application Center and contributes to open-source tools for earth science organizations. His current work focuses on city-scale digital twins for climate resilience and blockchain-enhanced manufacturing ecosystems, positioning him at the intersection of industrial informatics and sustainable technology development.