جست‌وجوی استاد و پژوهشگر

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.

• Civil Law
• Intellectual Property Law
• Information Law
• +۳ مورد دیگر

Mustafa Aksu is a Professor at Istanbul University's Faculty of Law, Department of Civil Law. His research spans Civil Law , Intellectual Property Law , Information Law , and EU Legal Harmonization . He has advised 26 theses and published extensively on digital rights, family law, and obligations law. Research Interests: Focus on AI and law, copyright exhaustion in digital markets, EU-Turkey legal alignment, domain name regulation, and protection of computer programs. Publications: Recent works include AI's legal frameworks (2023), medical informatics law (2021), and digital exhaustion doctrine (2016). His research emphasizes cross-border IP enforcement and EU court precedents. Contact: Email aksum@istanbul.edu.tr | Office: Hukuk Fakültesi Binası, İkinci Kat, Oda No: 38, Beyazıt, Istanbul, Turkey.

• Information Security and Reliability
• Cyber Security
• Artificial Intelligence
• +۱۳ مورد دیگر

Prof. Dr. Murat Dener is a full Professor in the Department of Information Security Engineering at the Institute of Science and Technology, Gazi University, where he also serves as the Head of Department since 2020. He has been continuously affiliated with Gazi University since 2005, progressing from Research Assistant to full Professor in 2023. He is also a Member of the Gazi University Rectorate Quality Commission and a Researcher at the High Performance Computational Neuroscience Laboratory at the Neuroscience and Neurotechnology Excellence Joint Application and Research Center. His educational background includes a BSc, MSc, and PhD, all from Gazi University, with his doctoral studies partially conducted at Georgia Tech University, USA. He completed English language training at Georgia State University and has participated in multiple EU-funded international projects across Greece, Portugal, Belgium, Germany, and Kazakhstan. His research focuses on cutting-edge areas such as cyber security, artificial intelligence, internet of things, blockchain, big data analytics, and computational neuroscience. His work bridges theoretical research with practical innovation, exemplified by the development of Turkey’s first domestically produced wireless sensor node, "WiSeN", through a company he founded in 2014. The analysis of his recent publications reveals a strong trend toward integrating AI and deep learning into cyber defense, secure IoT systems, blockchain applications, and computational neuroscience. His work emphasizes real-world applicability, security, scalability, and innovation in smart city and critical infrastructure technologies. Academic Achievement Award, Georgia State University (2011) Second Prize, Gazi University Business Idea Competition (2014) Turkish First Prize, Junior Chamber International 'Ten Successful Young People of Turkey' (2014) World Top 20 Finalist, Junior Chamber International (Japan, 2014) First Prize, Young Entrepreneurship Category, Liyakat Association (2015) First Prize, Smart Buildings and Environment, TET R&D Project Market (2018) Prof. Dener actively advises master’s and doctoral students and has led numerous national and international research projects, including EU-funded collaborations. His leadership extends to editorial and peer-review roles in multiple journals. He is deeply involved in academic quality improvement as a member of the Rectorate Quality Commission and leads advanced research in computational neuroscience using high-performance computing platforms. He founded a technology company in 2014 under the Technopreneurship Capital Support Program, producing the first Turkish-made wireless sensor node (WiSeN), which led to several national innovation awards. His lab work centers on the High Performance Computational Neuroscience Laboratory, where he contributes to neurotechnology research, combining AI and neuroscience for brain-computer interface applications.

Cevdet Aykanatمشاهده پروفایل

استاد

• Parallel Computing
• High-Performance Computing
• Graph and Hypergraph Partitioning
• +۴ مورد دیگر

Prof. Cevdet Aykanat is a Professor of Computer Engineering at Bilkent University, Ankara, Turkey. He earned his BS/MS in Electrical Engineering from METU and PhD from Ohio State University as a Fulbright scholar. His research focuses on parallel computing, sparse matrix algorithms, graph partitioning, and high-performance computing for big data. He has been affiliated with Bilkent since 1989 and has held roles like Associate Provost. Education: BSc/MSc (METU Electrical Engineering), PhD (Ohio State University Electrical & Computer Engineering). Research interests include parallel scientific computing, combinatorial optimization, distributed systems, and large-scale data analysis. His work spans over 100 publications in top journals like IEEE Transactions and SIAM, with 5,500 citations and an H-index of 40. Awards: 1996 TUBITAK Investigator Award, 2007 METU Parlar Science Award. He led 6 TUBITAK projects and participated in EU-funded projects like PRACE-1IP to PRACE-6IP. Publications emphasize efficient parallel algorithms for sparse computations, graph partitioning, and distributed systems. His work addresses latency reduction, load balancing, and scalable data processing in HPC environments. Grants: Funded by TUBITAK, Intel SSD, and EU programs. Academic service includes editorial roles at IEEE Transactions on Parallel and Distributed Systems.

• Physical Medicine and Rehabilitation
• Rheumatology
• Fibromyalgia
• +۵ مورد دیگر

Professor Ali Gur is affiliated with Gaziantep University , where he works in the Faculty of Medicine across the Department of Internal Medicine and Physical Medicine and Rehabilitation . He holds a Professor academic rank and has published extensively in both medical and social science domains. Education : Doctorate in Basic Islamic Sciences (2019-2024) at Gaziantep University Institute of Social Sciences Licence in History (2015-2019) from Anadolu University Faculty of Open Education Medical Specialization in Physical Medicine and Rehabilitation (1995-2009) from Dicle University Faculty of Medicine Research Interests span Physical Medicine and Rehabilitation , Rheumatology , and Fibromyalgia . His work focuses on musculoskeletal disorders , neuropathic pain , ankylosing spondylitis , and osteoarthritis , with recent publications addressing both clinical interventions and social science critiques of radicalism. Article Trends reflect a dual emphasis: medical research on chronic pain and rehabilitation (e.g., fibromyalgia, osteoarthritis) and social science analysis of terrorism and religious extremism. His 2024 publications include a self-critical examination of Islamophobia and a clinical study on fibromyalgia in psoriatic arthritis patients. Co-Author Networks include researchers like Mazlum Serdar Akaltun , Özlem Altindağ , and Savaş Gürsoy , with collaborative work in clinical trials , rehabilitation programs , and inflammatory disease analysis .

Selin Aslanمشاهده پروفایل

استادیار

• Applied Mathematics
• Computational Mathematics
• Imaging Science
• +۲ مورد دیگر

Selin Aslan serves as an Assistant Professor in the Department of Mathematics at Koç University, Istanbul, Turkey, where she conducts research at the intersection of computational mathematics and imaging science. Her academic appointments and research activities are centered within the university's mathematics department, contributing to both undergraduate and graduate education in mathematical sciences. Her educational qualifications include: PhD in Mathematics from Virginia Polytechnic Institute and State University (2018) Master's in Mathematics from Rochester Institute of Technology (2013) B.A. in Mathematics from Ege University (2010) Dr. Aslan's research program focuses on developing advanced computational methods for solving inverse problems in imaging, with particular expertise in phase retrieval, tomographic reconstruction, and ptychography. Her work bridges theoretical mathematics with practical applications in medical imaging, microscopy, and materials science, emphasizing algorithmic innovation and computational efficiency. She integrates techniques from deep learning, optimization theory, and high-performance computing to address challenges in image reconstruction under physical constraints. Analysis of her publication record reveals a consistent trajectory toward solving complex imaging problems through hybrid approaches that combine physics-based models with data-driven techniques. Her recent work demonstrates increasing emphasis on scalability for large datasets, robustness in photon-limited scenarios, and real-time processing capabilities, with applications spanning biomedical imaging to advanced microscopy. No scientific awards were documented in the available sources. Information regarding student advising and research grant activities was not specified in the provided materials, though her publication record suggests active research collaboration. Her computational focus implies engagement with high-performance computing resources for large-scale image reconstruction tasks. While specific laboratory infrastructure details were unavailable, her research on multi-GPU implementations and distributed computing indicates utilization of advanced computational facilities for handling large-scale imaging datasets.

İBRAHİM RIZA HALLAÇمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Parallel and Distributed Systems
• +۳ مورد دیگر

İbrahim Rıza Hallaç is an Assistant Professor at RAFET KAYIŞ FACULTY OF ENGINEERING, Department of Computer Engineering. He holds a PhD (2021), Master's (2014), and Bachelor's (2011) in Computer Engineering from Firat University, with doctoral research on social media analysis using deep learning methods under advisor Galip Aydın. His research focuses on: Artificial Intelligence and language models Machine learning for distributed systems Big data analytics and cloud computing Natural language processing applications Social media sentiment analysis Radar-based object detection systems His publications (2015-2024) demonstrate consistent focus on machine learning applications across diverse domains including social network analysis, distributed computing, Turkish NLP, and sensor data processing. Recent works emphasize radar-based multi-target detection (2024), credit scoring models (2023), and wind speed estimation (2023), reflecting expertise in scaling AI solutions for real-world problems. He has led four national R&D projects: Deep Learning-Based Face Recognition Authorization System (2017-2019) DEĞİRMEN Big Data Analysis Platform for Turkish Armed Forces (2017-2021) KOSGEB Innovation Program for Face Recognition Systems (2017-2019) Cloud-Based Social Media Reputation Analysis System (2015-2017) No students, awards, or contact emails are documented in available records.

• Forensic Sciences
• Crime Scene Investigations
• Forensic Biology
• +۲ مورد دیگر

Tuğba ÜNSAL SAPAN is an Assistant Professor in the Department of Forensic Sciences at Üsküdar University since 2017. She serves as Deputy Head of the Undergraduate Department of Forensic Sciences and Head of the Forensic Genetics Graduate Program at the Institute of Addiction and Forensic Sciences. Her academic roles span teaching and research in forensic biology, genetics, and crime scene investigations. Education: BSc in Biology (Eskişehir Osmangazi University, 2008), MSc in Forensic Sciences/Forensic Genetics (Istanbul University, 2011), PhD in Forensic Sciences/Forensic Genetics (Istanbul University, 2016) Her research focuses on forensic genetics, DNA analysis techniques, and crime scene evidence recovery. Key areas include rapid DNA technology, FTIR spectroscopy applications, and DNA database development. She has supervised numerous graduate theses on topics like DNA recovery from washed stains, lubricant characterization, and epigenetic age determination. Recent publications highlight her work on acid-exposed tooth DNA recovery (2025), rapid DNA kinship analysis (2023), X-InDel multiplex systems (2023), and FTIR-based body fluid identification (2024). These studies reflect interdisciplinary efforts in forensic biology, analytical chemistry, and bioinformatics. Administrative roles include Deputy Head of Department (2020–present), Erasmus Coordinator (2019–present), and membership in various academic boards. She has directed TÜBİTAK-funded projects on forensic DNA recovery and identification methods.

• British Theatre
• Political Theatre
• Contemporary Critical Theory
• +۳ مورد دیگر

Hakan GÜLTEKİN serves as Assistant Professor in the Department of Western Languages and Literatures at Artvin Coruh University's Faculty of Arts and Sciences since 2018, following his Instructor role (2013-2018). He concurrently holds significant administrative positions including Director of the Application and Research Center (2022-present), Erasmus Coordinator (2021-present), and former Vice Dean (2020-2022), demonstrating deep institutional engagement across academic and international domains. His educational trajectory spans a bachelor's degree from Atatürk University (2002-2007), master's from Karadeniz Technical University (2011-2014), doctoral studies at Istanbul Aydın University (2014-2018), and recent scholarly activity at the University of East Anglia (2022-2023). This foundation supports his dual expertise in English literary traditions and contemporary critical frameworks. GÜLTEKİN's research interrogates the intersection of theatre and socio-political crises, with particular emphasis on Brexit-era identity fragmentation, neoliberal economic policies, and multicultural tensions in British society. His scholarship consistently examines how playwrights like David Hare, Tom Stoppard, and emerging voices translate complex political realities into dramatic form, while maintaining strong connections to Shakespearean studies and postdramatic theory. This work reveals a methodological commitment to both textual analysis and performance studies. Analysis of his recent publications (2023-2025) shows intensifying focus on post-Brexit identity politics and climate consciousness, with 2025 alone yielding five major studies on British identity crises and sovereignty debates. His work increasingly incorporates transnational perspectives, examining parallels between Brexit and Trump-era populism while documenting theatre's role as a public sphere during political upheaval. Scientific awards: None documented in source materials. As principal investigator, GÜLTEKİN has secured four major EU-funded projects: 'Green Chemistry Applications on Medicinal Plants' (2022, ongoing), 'Back to Green: Youth Environmental Engagement' (2022, ongoing), 'HELP: Educating Students with Learning Challenges' (2015-2018), and 'Life Over Violence in Education' (2011-2013). These initiatives demonstrate his capacity to bridge humanities scholarship with environmental and educational innovation through international collaboration. He leads Artvin Coruh University's Erasmus program and coordinates external relations for the Ali Nihat Gökyiğit Botanical Garden, fostering networks that integrate academic research with community environmental stewardship. His administrative portfolio further includes Bologna Process coordination and quality assurance leadership, positioning him at the nexus of institutional development and international academic exchange.

• Electromagnetic Theory
• Inverse Scattering Problems
• Computational Electromagnetics
• +۳ مورد دیگر

Prof. Tanju YELKENCİ is an academic who continues his work in electromagnetic theory and forward and inverse scattering problems within the Faculty of Engineering , Department of Electrical and Electronics Engineering . His research bridges theoretical electromagnetics with practical applications in radiation safety and computational modeling. Education Licence (1982-1986): Yıldız Technical University, Department of Electrical Engineering. Master's (1986-1989): Istanbul Technical University, Electronics and Communications Program. Doctorate (1994-1999): Technische Universitaet Wien (Vienna Technical University), Faculty of Electrotechnics. His research focuses on numerical methods in electromagnetics , including specific absorption rate (SAR) analysis for mobile phone radiation, inverse scattering problems in complex geometries, and electromagnetic safety standards . Recent publications highlight his work on computational models for iron slags and inverse scattering in waveguide structures .

• Marine Engineering
• Shipping Decarbonization
• Alternative Fuels
• +۴ مورد دیگر

Ömer Berkehan İnal is a Researcher in the Department of Marine Engineering at Istanbul Technical University. His work focuses on decarbonization of shipping, alternative fuels, hybrid propulsion systems, and sustainable maritime technologies. He contributes to UN Sustainable Development Goals related to affordable and clean energy, and climate action. Key research areas include hydrogen fuel cell applications, waste heat utilization, and legislative frameworks for maritime sustainability. His research explores innovative solutions for reducing greenhouse gas emissions in shipping through electrification, hybridization, and novel energy systems. Notable contributions include case studies on cargo ships using hydrogen fuel cells and waste heat recovery systems in ships. He also emphasizes educational frameworks for integrating mechatronics and decarbonization strategies into marine engineering curricula. Collaboration networks span international institutions, with active research in Turkey and Europe. His publications address technical challenges in maritime decarbonization, legislative barriers for alternative fuels, and system design for zero-emission vessels.

• 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.

• 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 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).