جستجوی استاد راهنمای دانشگاهی

• Machine Learning
• Field-Programmable Gate Arrays (FPGA)
• Network Traffic Classification
• +۵ مورد دیگر

Prof. Dr. Oğuzhan ERDEM is a faculty member at Trakya University Faculty of Engineering , Department of Electrical and Electronics Engineering since 2023. He earned his PhD in Electrical and Electronics Engineering from Middle East Technical University in 2011 and served at various academic roles across 22 years, including Department Head since 2021. PhD: Middle East Technical University (2011) Visiting Scholar: University of Southern California (2010-2011) His research focuses on machine learning applications in biomedical diagnostics and FPGA-based network processing . Recent publications explore Parkinson's disease detection through keystroke analysis, cough sound diagnostics, and hardware-accelerated network traffic classification. Key article trends show: 2023-2025: Deep learning for medical diagnostics 2016-2020: Hardware-optimized network processing 2010-2015: FPGA-based IP lookup architectures Awards: Middle East Technical University 2011 Doctoral Thesis of the Year He has supervised 6 graduate theses and led 2 major projects including Early Detection of Parkinson's Disease Using Multimodal Signals (2021). Patent co-inventor in systolic array architectures.

• Parallel Computing
• Algorithm Design
• Computer Architecture
• +۵ مورد دیگر

Prof. Haluk Rahmi Topcuoğlu is a Full Professor at the Department of Computer Engineering, Faculty of Engineering, Marmara University since 1999. His research focuses on parallel algorithm design, multicore computing, evolutionary algorithms, and dynamic optimization problems. He holds a PhD in Computer Science from Syracuse University (1999), an M.S. from Boğaziçi University (1991), and a B.S. from Boğaziçi University (1993). Research Highlights: Recipient of IBM Faculty Award (2008) Best Paper Award at IEEE ISDA (2010) Marmara University Publication Impact Award (2012) Professional Roles: Editorial Board Member - Cluster Computing Journal (SCI-Expanded) Reviewer for IEEE TPDS, JPDC, IEEE TEC, and conferences like IPDPS/HPDC

• Computational Electromagnetics
• MATLAB Applications for Engineering
• Applied Mathematics
• +۷ مورد دیگر

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.

• Artificial Intelligence
• Neural Networks
• Robotics
• +۵ مورد دیگر

Abdullatif Baba is an Assistant Professor in the Department of Computer Engineering at Turkish Aeronautical Association University. His research focuses on interdisciplinary applications of artificial intelligence, robotics, and sustainable energy systems. He develops solutions for smart infrastructure, including AI-driven energy forecasting, autonomous drones for grid maintenance, and hyperspectral imaging techniques. His research interests span: AI/ML Systems : Neural networks, probabilistic forecasting, and FPGA-accelerated deep learning Robotics : Autonomous drones with computer vision for industrial and energy applications Sustainable Energy : Solar-based systems, smart grid optimization, and consumption prediction Security : Chaos-based cryptographic systems for secure communications Recent publications (2020-2024) demonstrate strong trends in practical AI implementations. Key themes include energy forecasting using adaptive neural networks (11 papers), robotics for infrastructure maintenance (4 papers), computer vision for biometrics and imaging (3 papers), and cryptographic systems (2 papers). Methodologies frequently involve hybrid approaches combining ANN, fuzzy logic, and hardware acceleration. No awards, students, or grant details were mentioned in the source material. Research collaborations include institutions in Turkey and the Middle East.

Ali Karakuşمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics
• High-Order Finite Element Methods
• Multiphase Flows
• +۵ مورد دیگر

Ali Karakuş is an Associate Professor of Mechanical Engineering at the Middle East Technical University (METU) in Ankara, Turkey. His research focuses on computational fluid dynamics, high-order numerical methods, multiphase flows, and GPU-accelerated scientific computing. He leads the Accelerated Multiphysics (AMiP) research group, which develops advanced algorithms for multiphysics problems using modern parallel architectures. Education: B.Sc. (2005), M.Sc. (2009, Mersin University), Ph.D. (2015), all from METU. His work emphasizes high-order discontinuous Galerkin methods, physics-informed neural networks, and software development (e.g., libParanumal ). Key achievements include the 2024 Lecturer of the Year Award from the METU Parlar Foundation and recognition of the NekRS solver as a groundbreaking paper in Parallel Computing . He supervises a team of PhD and MSc students working on topics like adaptive mesh refinement, level-set interface capturing, and GPU-accelerated solvers. Recent projects include developing physics-informed neural networks for fluid flow problems and Boltzmann-based methods for compressible flows.

Mustak E. Yalcinمشاهده پروفایل

استاد

• Nonlinear Dynamics
• Cryptography
• Cellular Neural Networks
• +۳ مورد دیگر

Mustak E. Yalcin is a Professor in the Department of Electronics and Telecommunications Engineering at Istanbul Technical University (ITU). He holds a PhD from Katholieke Universiteit Leuven (2004), an MSc from ITU (1997), and a BSc from ITU (1993). His research focuses on nonlinear dynamics, chaos theory, FPGA-based systems, and secure communication. He has been elevated to IEEE Senior Member (2019) and serves as an Associate Editor for multiple journals, including the International Journal of Bifurcation and Chaos and SpringerBriefs in Nonlinear Circuits. His work spans applications in cryptographic systems, cellular neural networks, and hardware security. Notable contributions include FPGA implementations of hyperchaotic systems for medical image encryption, and designs for GPS spoofing detection. He leads projects on sensor-based navigation systems, smart weighing technologies, and energy-efficient embedded systems. Recent activities include chairing tracks at IEEE conferences and organizing events like FOSSistanbul. His lab actively explores wave computing, memristor-based networks, and bio-inspired algorithms for odor classification. Current projects include the design of fault-tolerant cryptographic hardware and real-time spectrum analyzers.

• Parallel and Distributed Systems
• Cloud Computing
• Computer and Communication Networks
• +۱۲ مورد دیگر

Deniz Turgay Altılar is a Professor in the Department of Computer Engineering at Istanbul Technical University (ITU), Faculty of Computer and Informatics. He has been an active academic since 1988, progressing from Research Assistant to Associate Professor in 2013 and later achieving the rank of Professor. His work is centered on distributed systems, cloud computing, and computer networks, with expanding interests in AI applications for agriculture and healthcare. Education Bachelor of Science, Control and Computer Engineering, Istanbul Technical University (1984–1988) Master of Science, Computer Engineering, Istanbul Technical University (1988–1992) Research experience at Queen Mary and Westfield College, University of London (1998–2002) His research interests include parallel and distributed systems, cloud computing, secure computation, deep learning, and cybersecurity. He applies these to interdisciplinary domains such as corn yield prediction, radar identification, and medical diagnostics using ECG signals. His recent work emphasizes efficient and secure AI systems. The publication trends show a strong focus on distributed deep learning, straggler mitigation, secure multiparty computation, and hardware-based attack detection. His work bridges theoretical computer science with real-world applications in agriculture, medicine, and national security. Recent articles highlight innovation in lightweight AI models, privacy-preserving computation, and cross-layer system design. Scientific Awards No specific awards are mentioned in the provided text. He actively supervises students and leads major research projects, including those on cache side-channel attacks in multi-tenant clouds, distributed OpenCL platforms, real-time scheduling, and molecular communication in nano-networks. These projects reflect sustained external funding and leadership in cutting-edge computing domains. His research group collaborates across disciplines and institutions, contributing to both national and international scientific communities. Labs and Teams : While not explicitly named, his role as Principal Investigator on multiple projects suggests leadership in a research lab focused on distributed systems, cybersecurity, and applied AI at ITU.

• Biomedical Engineering
• Biomedical Image Processing
• Medical Physics
• +۵ مورد دیگر

Dr. PELİN ÇİRİŞ is an Assistant Professor in the Department of Biomedical Engineering at the Faculty of Engineering, Akdeniz University, Antalya, Turkey. She also serves as the Director of the Biomedical Technologies Application and Research Center and Deputy Director of the Science and Technology Application and Research Center at Akdeniz University. Previously, she served as Head of Department for Biomedical Engineering from 2014-2020 and continues as Deputy Head since 2016. Her academic career includes significant postdoctoral training at Harvard Medical School and Yale University. Education: Post Doctorate, Harvard University, Harvard Medical School, Brigham And Women's Hospital, Radiology (2013-2015) Post Doctorate, Yale University, School Of Medicine, Diagnostic Radiology (2012-2013) Doctorate, Yale University, School Of Engineering And Applied Science, Biomedical Engineering (2008-2012) Masters (Non-Thesis), Yale University, School Of Engineering & Applied Science, Engineering And Applied Science (2008-2010) Postgraduate, Johns Hopkins University, School Of Engineering, Biomedical Engineering (1998-2000) Undergraduate, Purdue University, School Of Electrical And Computer Engineering, Electrical Engineering (1994-1998) Dr. Çiriş's research spans multiple domains of biomedical imaging and engineering, with a strong focus on magnetic resonance imaging (MRI) techniques and applications. Her work encompasses advanced MRI physics, quantitative imaging methods, and clinical applications across various medical fields. She has made significant contributions to signal modeling in MRI, particularly in cancer imaging contexts including prostate and cervical cancers. Her research also extends to neuroimaging for brain tumor visualization and white matter tractography, as well as cardiac imaging applications for tissue characterization and functional assessment. She has developed innovative approaches like the GAME (Gaussian Augmentation of the Monoexponential) model for analyzing MRI signal decays in cancer tissues. The trajectory of Dr. Çiriş's publication record reveals a progression from fundamental MRI techniques to sophisticated clinical applications. Her early work focused on image reconstruction, parallel imaging, and real-time interventional guidance. Over time, her research evolved to emphasize quantitative approaches for tissue characterization in oncology, particularly in gynecologic and prostate cancers. Recent publications demonstrate expertise in advanced modeling techniques for MRI signal decays, thermometry applications, and image processing methods for clinical decision support. This progression reflects a career dedicated to bridging engineering innovation with practical clinical applications across multiple medical specialties. Scientific Awards: Magna Cum Laude Award (Gynecological cancers), International Society for Magnetic Resonance in Medicine (2015) Magna Cum Laude Award (Prostate cancer), International Society for Magnetic Resonance in Medicine (2015) PhD Candidacy Awarded With Distinction, Yale University (2012) Travel Grant for Top 25 Papers, IEEE International Symposium on Biomedical Imaging (2007) Melvin Judkins Young Investigator Award, American Heart Association (2007) Academic Honors and Dean's Lists, Purdue University (1998) Dr. Çiriş has secured research funding including the project 'Assessing validity of MRI T2* hypoxia measurement in cervical cancer' (2014-2015). She serves as an Editor for the Journal of Magnetic Resonance Imaging since 2015, demonstrating her standing in the MRI research community. She has contributed to academic governance as a jury member for Assistant Professorship Appointment Committee at Akdeniz University. Her leadership extends to directing research centers focused on biomedical technologies at Akdeniz University, where she oversees interdisciplinary teams working on medical imaging technologies. As Director of the Biomedical Technologies Application and Research Center and Deputy Director of the Science and Technology Application and Research Center, Dr. Çiriş leads interdisciplinary teams focused on advancing medical imaging technologies and their clinical translation. Her centers foster collaboration between engineers, physicists, clinicians, and computer scientists to develop innovative solutions for diagnostic and therapeutic challenges in medicine, particularly in the areas of cancer imaging, neuroimaging, and cardiac applications.

• Computer Sciences
• Computer Graphics
• Engineering and Technology
• +۳ مورد دیگر

ÖMER ÇAKIR is a Lecturer at the College of Engineering , Karadeniz Technical University , Department of Computer Engineering. His work spans computer graphics, software engineering, and signal processing. Education: Undergraduate (2001) and Postgraduate (2004) in Computer Engineering at Karadeniz Technical University. Academic Positions: Lecturer (2002–Present), Research Assistant (2001–2002). Research focuses on Computer Graphics , Signal Processing , and Optimization Algorithms . His conference papers address topics like virtual surgery simulations , fractured object reassembly , and TDOA-based localization . Key publication trends include parallel computing , 3D reconstruction , and PSO optimization . He has contributed to 13 peer-reviewed conferences. His contact email is cakiro@ktu.edu.tr , and he teaches BİLGİSAYAR GRAFİKLERİ-I and DATA STRUCTURES .

• 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.

SEMA KAYHANمشاهده پروفایل

استاد

• Image Processing
• Compressive Sensing
• Signal Processing
• +۱۱ مورد دیگر

Professor Sema Kayhan is a faculty member at Gaziantep University , Faculty of Engineering , Department of Electrical and Electronic Engineering . She has held the academic rank of Professor since 2021, after progressing from Associate Professor (2016-2021) and Assistant Professor (2007-2015). Her career began at Gaziantep University as a Research Assistant (1996-2005) and includes administrative roles as Vice Head of Department (2013-2015). Doctorate: 1999-2005, Gaziantep University Institute of Science, Electrical and Electronic Engineering Degree: 1996-1999, Gaziantep University Faculty of Engineering, Electrical and Electronic Engineering & Computer Science Licence: 1991-1996, Gaziantep University Faculty of Engineering, Electrical and Electronics Engineering (English) Her research spans Image Processing , Compressive Sensing , Machine Learning , and Biomedical Signal Processing , with notable contributions to ECG signal reconstruction , chaotic encryption , and FPGA-based hardware acceleration . She has supervised 23 theses, including PhD works on hybrid deep learning for schizophrenia detection , sparse extreme learning machines , and smart home solar energy systems . Her 15 most recent publications (2015-2022) demonstrate expertise in image watermarking , encryption , antenna design , and ECG signal processing , often leveraging chaos theory , extreme learning machines , and FPGA implementations . She has also contributed to NLP for Arabic-alphabet languages and retinal blood vessel segmentation via transfer learning. Professor Kayhan's projects include renewing jacquard control systems (2007-2008) and ECG signal reconstruction via compressive sensing on FPGA (2016-2017). She co-designed a smart home model using solar energy (2017) and has been a Member of the Chamber of Electrical Engineers since 1997.

Bekir Tevfik Akgünمشاهده پروفایل

استاد

• Artificial Intelligence
• Information Security
• Internet of Things
• +۴ مورد دیگر

Prof. Bekir Tevfik Akgün serves as Professor and Dean of the Faculty of Computer and Information Sciences at Yeditepe University, with prior academic appointments at Istanbul Okan University (Department Head, Institute Director), Ohio State University, and Yildiz Technical University (Dean). His expertise spans artificial intelligence, information security, computer graphics, and distributed systems, supported by extensive research funding and supervision of 19 graduate students. Educational background includes: Ph.D. in Control and Computer Engineering, Istanbul Technical University (1991) M.S. in Control and Computer Engineering, Istanbul Technical University (1984) B.S. in Electrical Engineering, Istanbul State Academy of Engineering and Architecture (1981) His research integrates theoretical and applied computer science, with recent focus on AI-driven environmental monitoring (forest fire detection via drone-IoT networks), bioinformatics security, and advanced color models. Early work established foundational contributions in digital art (marbled paper techniques) and real-time operating systems, evolving into contemporary applications in energy management and autonomous systems. Publication trends since 2001 reveal consistent innovation across domains: computer graphics (2004-2024), distributed systems (2001), and emerging AI/IoT applications (2022-2024). The interdisciplinary nature of his work bridges theoretical computer science with practical implementations in security, environmental science, and human-computer interaction. Scientific Awards: No major scientific awards were listed in the provided information. Advising and Grants: Supervised 18 master's theses and 1 doctoral dissertation covering autonomous vehicles, deep learning, and IoT systems. Secured over 1.5 million Turkish Lira in research funding through TÜBİTAK projects including Smart Renewable Energy Management System (2018-2021, 159,636 TL) and Advanced Autonomous Bus System (2018-2021, 915,810.99 TL), with additional projects in battery management and metrobus efficiency. Labs and Teams: Project descriptions indicate leadership in autonomous systems teams and energy management research groups, though specific laboratory affiliations are not detailed in the source text.

• Computer Science
• Artificial Intelligence
• Algorithms
• +۴ مورد دیگر

F. Yeşim İKİKAT serves as a Researcher at the Department of Computer Engineering within the Faculty of Engineering at Turkish-German University, a position held since 2022. Her academic foundation spans computational engineering with interdisciplinary applications in security systems and semantic analysis. Her educational qualifications include: Doctorate in Computer Engineering from Istanbul Technical University Institute of Graduate Education (2019) Master's in Computer Engineering from Yildiz Technical University Institute of Science (2014-2019, with thesis) Bachelor's in Computer Engineering from Atilim University Faculty of Engineering (2007-2012) Research interests center on Artificial Intelligence, Algorithms and Computational Theory, and Information Security and Cryptology, with specialized work in Parallel Algorithms, Natural Language Processing, and Image Encryption. Her methodology combines computational modeling with cryptographic techniques to solve complex engineering and information system challenges, particularly in high-performance computing environments and secure data transformation. Publication trends reveal evolving expertise from computational mechanics (2012 thermoelasticity simulations) to security applications (2018 image encryption) and semantic analysis (2015 Wikipedia linking). This progression demonstrates consistent application of algorithmic innovation across engineering simulations, multimedia security, and knowledge representation domains. No scientific awards were documented in the source material. Advising activities and research grants are not referenced in the available information. Laboratory affiliations or research team memberships were not specified in the provided text.

Can Özturanمشاهده پروفایل

استاد

• Blockchain Technologies
• Parallel Processing
• High Performance Computing
• +۴ مورد دیگر

Can Özturan is a Professor in the Department of Computer Engineering at Bogazici University in Istanbul, Turkey. He joined the department as a faculty member in 1996 after completing his Ph.D. in Computer Science from Rensselaer Polytechnic Institute in 1995 and working as a Postdoctoral Staff Scientist at the ICASE (Institute for Computer Applications in Science), NASA Langley Research Center. His research interests span Blockchain Technologies, Parallel Processing, High Performance Computing, Graph Algorithms, Scientific Computing, Resource Management, and Grid/Cloud Computing. Over his career, his research focus has evolved from parallel processing and graph algorithms toward blockchain technologies, particularly focusing on privacy-preserving techniques, fraud detection, and performance optimization in Ethereum systems. An analysis of his recent publications (2021-2025) reveals a strong concentration on blockchain applications, with particular emphasis on privacy-preserving protocols using zero-knowledge proofs, fraud detection in transaction graphs, and performance optimization for blockchain systems. His work bridges theoretical computer science with practical blockchain implementations, often applying parallel processing techniques to blockchain challenges. Professor Özturan teaches courses in Blockchain Programming (CMPE483), Parallel Processing (CMPE478), Systems Programming (CMPE230), Graph Algorithms (CMPE528), and Compiler Design (CMPE425), demonstrating his expertise across both foundational and emerging areas of computer engineering.

• Operations Research
• Fuzzy Logic
• Modeling and Optimization
• +۳ مورد دیگر

Assistant Professor Tusan Derya is affiliated with Başkent University in the College of Engineering , Industrial Engineering Department . Their research focuses on Operations Research Fuzzy Logic Modeling and Optimization with applications in routing problems and logistics. Their recent publications address variations of the Traveling Salesman Problem (2020-2024), Team Orienteering (2016), and Vehicle Routing (2011) using Mixed-Integer Programming and Fuzzy Logic approaches. They have contributed to Portfolio Optimization models (2024) and Autonomous Distribution Systems (2024).