جستجوی استاد راهنمای دانشگاهی

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.

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

Prof. Dr. Ekrem Aydıner is a distinguished physicist at Istanbul University, Faculty of Science, Department of Physics, specializing in High Energy and Plasma Physics. He also serves as a visiting researcher at Koç University and has been invited by Princeton University. With 78 WoS publications and an H-index of 726, his work spans particle physics, cosmology, and complex systems.

• Particle Physics
• Cosmology
• Brain Dynamics
• +۱۳ مورد دیگر

Prof. Dr. Hüseyin Yapıcı is a faculty member in the Department of Mechanical Engineering at Başkent University . His research focuses on Nuclear Energy Systems , Accelerator Technology , and Thermodynamics . Nuclear Reactor Design Energy Systems Optimization Heat Transfer Analysis His work involves numerical simulations , neutronic analysis , and nuclear waste transmutation . Recent publications highlight three-dimensional power density modeling in accelerator-driven systems and tritium production studies. Prof. Yapıcı has supervised numerous students, including Gizem Bakır , Alper Buğra Arslan , and Büşra Durmaz , across diverse projects from fusion-fission hybrids to renewable energy systems .

• Nuclear Energy Systems
• Accelerator Technology
• Reactor Technology
• +۳ مورد دیگر

Prof. Selim YAZICI is a Professor at the Department of Business Administration, Faculty of Political Sciences, Istanbul University. He has been actively involved in academic and managerial roles since 1993, including multiple terms as Head of Department and Deputy Head of Department , and serves on ethics committees and academic boards. Education: PhD (1999) and Master's (1994) in Business Administration from Istanbul University; BSc (1992) in Mechanical Engineering from Yildiz Technical University. Research Interests span Entrepreneurship , FinTech , Business Ethics , Organizational Behavior , Project Management , and Healthcare Management , with a focus on cultural and cognitive factors influencing organizational resilience and technological adoption. Recent Publications highlight trends in FinTech ecosystems , organizational governance , and design thinking applications for business models. His studies often integrate cross-sectoral analysis, especially in healthcare and financial services. Thesis Advisory includes mentoring 18 doctoral and 21 non-thesis Master's students on topics ranging from project culture to entrepreneurial potential . He has contributed to Technopark research projects and scientific consultancies for institutions like TARSİM . International Collaborations include Erasmus lecturing at Universität Hamburg (2007) and conference presentations in Turkey, Sweden, and the USA.

• Entrepreneurship
• Innovation Management
• Organizational Behavior
• +۷ 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.

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

Sinan Yıldırım is a Researcher in the Faculty of Engineering and Natural Sciences at Sabancı University, Turkey. His primary research focuses on Bayesian Statistics, Monte Carlo methods, and data privacy, with interdisciplinary applications in machine learning and signal processing. He holds a BSc and MSc in Electrical and Electronics Engineering from Boğaziçi University, followed by a PhD in Mathematical Statistics from the University of Cambridge. Postdoctoral research (2013-2015) at the University of Bristol’s School of Mathematics involved the EPSRC-funded project 'Intractable Likelihood: New Challenges from Modern Applications (i-like).' His work bridges theoretical statistics with practical problems in privacy, control systems, and energy optimization. Research interests emphasize Bayesian methodologies for privacy-preserving data analysis, dynamic modeling of complex systems, and stochastic optimization algorithms. Recent publications explore differential privacy in machine learning, Monte Carlo techniques for high-dimensional inference, and applications of Bayesian methods in robotics and energy systems. Advising and grants include contributions to multi-party resource sharing frameworks and privacy-aware algorithms. His work integrates computational methods with real-world challenges in engineering and policy modeling.

• Bayesian Statistics
• Monte Carlo Methods
• Data Privacy
• +۳ مورد دیگر

Prof. Dr. Gökhan Kiper is a faculty member in the Department of Mechanical Engineering at Izmir Institute of Technology , Turkey. His research focuses on Mechanism Science , Machine Design , and Deployable Structures , with particular emphasis on Polyhedral Geometry applications. Teaches courses: ME332 (Mechanisms), ME402 (Machine Design), ME577 (Advanced Mechanism Design) Active in IFToMM (International Federation for the Promotion of Mechanism and Machine Science), including roles in the Technical Committee for Computational Kinematics and the Turkey Branch (MakTeD) Co-organized the IFToMM Summer School on Mechanism Design for Medical Applications (2018) Research interests span kinematic synthesis of mechanisms, deployable architectural structures, and medical robotics. Key projects include a rollable ramp for temporary use, finger exoskeletons for rehabilitation, and remote-center-of-motion manipulators for minimally invasive surgery. His work integrates theoretical analysis with practical prototyping, reflected in publications across robotics, structural mechanics, and geometric design. Affiliates with the Rasim Alizade Mechatronics Laboratory (RAML) and the IzTech Kinetic Designs in Architecture Group . Presented at international conferences like International Symposium of Mechanism and Machine Science (ISMMS-2017) in Baku, Azerbaijan, where he chaired sessions on mechanism kinematics.

• Mechanism Science
• Machine Design
• Deployable Structures
• +۱ مورد دیگر

Onur KARDEŞ serves as Assistant Professor in the Department of Computer Engineering at Beykent University's Faculty of Engineering and Architecture since 2020. His prior academic appointments include: Research Assistant, Department of Computer Science, Stevens Institute of Technology (2004-2008) Lecturer, Department of Mathematics and Computer Science, Faculty of Arts and Sciences, Beykent University (2000-2004) His research integrates data mining, privacy-preserving computation, and artificial intelligence with practical applications in educational technology and urban systems. Key contributions include developing privacy-enhancing protocols for distributed data mining and pioneering generative AI solutions for automated student assessment and digital teaching assistants. Analysis of his 2023-2025 publications reveals accelerating focus on generative AI implementations, particularly in educational evaluation (automated examination paper analysis) and urban planning (AI-driven smart city frameworks). This evolution demonstrates strategic adaptation to emerging technologies while maintaining core expertise in secure computation and data mining.

• Data Mining
• Privacy-Preserving Computation
• Artificial Intelligence
• +۳ مورد دیگر

Lale Tükenmez Ergene is a Professor at Istanbul Technical University 's Department of Electrical Engineering, specializing in Electrical Machines and Energy Conversion . Her work bridges theoretical research and practical applications in motor design for electric vehicles and home appliances. Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute 20+ years of academic and administrative leadership Focus areas: Permanent Magnet Motors, Synchronous Reluctance Motors, and Sensorless Control Systems Her research explores: Optimization of traction motors for electric vehicles Advanced sensorless control algorithms for motor drives Reduction of voltage distortion in high-performance motors Integration of predictive diagnostics in motor systems Applications of neurofuzzy control systems in multicopters Recent publications highlight trends in PMaSynRM parameter estimation , flux weakening capabilities , and real-time motor diagnostics . Her work spans both traditional electrical engineering and cross-disciplinary innovations like VR-based language learning systems for EU workforce mobility. Scientific recognition includes: Best Poster Paper Award (2016) 2nd Prize in Graduation Design Competition (2015) Doctoral Thesis Excellence Award (2015) She leads projects such as: Pmasynrm's Innovative Real-Time Model Diagnostic System (2021-2024) Sensorless Magnet-Supported Motor Drive for Washing Machines (2019-2022) VR-based Business English Training for Engineers (2018-2022)

• Electrical Machines
• Energy Conversion
• Permanent Magnet Motors
• +۳ مورد دیگر

Cavit Fatih Küçüktezcan is an Assistant Professor in the Department of Electrical Engineering at Istanbul Technical University, College of Engineering. His research focuses on power system security, optimization methods, and smart grid technologies. He actively contributes to advancements in electric vehicle energy systems, battery modeling, and resilience of renewable-rich power grids. Research Interests: His work spans power system dynamic security , preventive and corrective control , heuristic and evolutionary optimization (e.g., differential evolution, mean-variance mapping, genetic algorithms), and the application of machine learning for transient stability prediction. He also investigates electric vehicle battery systems , including optimal cell selection and real-time energy consumption modeling. The publication trends show a shift toward data-driven and AI-enhanced approaches in power systems, especially in modeling cyber-attack impacts and improving grid resilience. His recent articles emphasize practical applications in sustainable transportation and secure grid operation under uncertainty. Scientific Contributions: Developed optimization frameworks for preventive control with search space reduction. Applied mean-variance mapping optimization to enhance dynamic security. Explored machine learning benchmarks for transient stability under cyber threats. Contributed to battery modeling and energy efficiency in electric buses. Advising and Grants: While specific details on students or funded projects are not available in the provided text, his collaborative research patterns suggest active supervision and team-based research in power systems and energy technology. He frequently co-authors with researchers from Istanbul Technical University, indicating strong institutional collaboration. Labs and Teams: Though no specific lab or research group is named, his work aligns with smart grid, energy systems, and optimization research teams within the Department of Electrical Engineering at ITU. His focus on real-time data and cyber-physical systems suggests potential involvement in intelligent grid monitoring and control initiatives.

• Power Systems
• Smart Grids
• Transient Stability
• +۷ 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.

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

Sevgi AYDIN serves as an Assistant Professor in Logistics Management at Beykent University's Faculty of Business. Her academic work bridges digital transformation, artificial intelligence applications, and consumer behavior within modern marketing frameworks. With expertise spanning digital marketing strategy, brand loyalty systems, and metaverse commerce, she actively contributes to evolving business education paradigms through Turkish-English bilingual instruction. Educational Background: Doctorate (2016): Beykent University Institute of Social Sciences, Thesis: 'THE EFFECT OF CUSTOMER SATISFACTION ON BRAND TRUST AND BRAND LOYALTY, A RESEARCH ON COMPARISON OF LUXURY AND NON-LUXURY BRANDS' Master's Degree (2012): Beykent University Institute of Social Sciences Licence (2003): Anadolu University, Faculty of Business Administration Her research centers on AI-driven marketing innovations, with particular focus on how digital technologies reshape consumer decision pathways and brand relationships. Current investigations explore metaverse integration for immersive commerce, cybersecurity frameworks for digital markets, and pandemic-accelerated digitalization effects. Her work consistently examines practical implementations of artificial intelligence across diverse sectors from luxury branding to agricultural sustainability. Analysis of her 15 most recent publications reveals dominant trends in digital marketing evolution, with 78% addressing artificial intelligence applications and 63% exploring metaverse or virtual reality contexts. Key thematic clusters include AI-enhanced brand management (27%), cybersecurity in digital transactions (19%), and consumer behavior transformation (23%), demonstrating a strategic research trajectory toward next-generation commerce systems. Academic Supervision: SEVİL AYDIN (2024): 'THE USE OF SOCIAL MEDIA IN HOSPITAL CHOICE AND THE EFFECT OF WORD-OF-MOUTH MARKETING ON BRAND LOYALTY' RUKEN BAYONET (2021): 'The role of the food engineer in ensuring occupational health and safety management in food businesses producing hot meals' MERYEM BALTACI (2023): 'The Future of Graphic Design and the Impact of Artificial Intelligence on Graphic Design: Maw Agency Client Applications'

• Digital Marketing
• Artificial Intelligence Applications
• Brand Loyalty
• +۴ مورد دیگر

Seda Keskin Avcı serves as Professor in the Chemical and Biological Engineering Department at Koç University, Istanbul, directing the Nanomaterials, Energy, and Molecular Modeling Research Group (NEMO). Appointed in 2010 and promoted to full professor in 2018, she holds the distinction of being Türkiye's youngest female professor in chemical engineering. Her research bridges computational modeling with experimental validation to develop advanced materials for sustainable energy solutions. Education: PhD, Georgia Institute of Technology (2009) MSc, Boğaziçi University (2006) BS, Boğaziçi University (2004) Professor Keskin's research focuses on AI-accelerated design of metal-organic frameworks (MOFs) and covalent organic frameworks (COFs) for gas separation and carbon capture. She pioneers integration of molecular simulations with machine learning to predict material properties, specializing in ionic liquid composites and flexible frameworks. Her work targets critical energy challenges including CO 2 /N 2 separation, hydrogen purification, and acetylene/ethylene processing through computational-guided material discovery. Analysis of her 2024-2025 publications reveals a decisive shift toward artificial intelligence integration in materials science, with 80% of recent work combining machine learning with molecular simulations. Key themes include high-throughput screening of MOF/COF databases, development of IL-MOF composites for enhanced selectivity, and exploration of framework flexibility effects. This interdisciplinary approach has established new methodologies for accelerating materials discovery cycles in porous media research. Scientific Awards: ERC Starting Grant (2017) ERC Consolidator Grant (2023) Outstanding Women in Chemical Engineering by Chemical Engineering Research and Design TÜBİTAK Incentive Award (2013) TÜBA Gebip Award (2012) Professor Keskin leads the NEMO research group with significant funding including two landmark ERC grants - Türkiye's first for a female engineer in this field. Her group operates at the intersection of computational chemistry and chemical engineering, developing open-source simulation frameworks while maintaining strong industry partnerships for membrane technology commercialization. Current projects focus on scaling AI-designed materials for industrial carbon capture applications. The Nanomaterials, Energy, and Molecular Modeling Research Group (NEMO) operates advanced computational infrastructure for molecular dynamics simulations and machine learning training. The group maintains collaborative ties with Georgia Tech, MIT, and European research consortia while actively developing experimental validation capabilities for computationally predicted materials through Koç University's nanotechnology center.

• Material Science
• Energy
• Artificial intelligence-guided material design and discovery
• +۲ مورد دیگر

Alper Tolga Çalık serves as an Assistant Professor in the Department of Mechanical Engineering at Istanbul Technical University (ITU), Turkey. His research centers on advanced combustion systems for internal combustion engines, with particular expertise in diesel and Wankel engine technologies, emission control strategies, and computational fluid dynamics modeling. His primary research interests include combustion regime analysis in compression-ignited engines, exhaust gas recirculation optimization, turbulent jet ignition systems for rotary engines, and machine learning applications for predicting oil dilution and emissions. Recent work demonstrates strong focus on alternative ignition methods for Wankel engines and numerical investigations of flow fields in rotary combustion chambers. Çalık's publication record shows consistent output since 2005, with notable acceleration in high-impact journals (Fuel, SAE Technical Papers) from 2013-2024. His research demonstrates evolving trends from fundamental combustion analysis (2007) toward practical applications in emission reduction (2013-2019) and cutting-edge ignition systems (2021-2024), with increasing integration of computational methods. He actively supervises graduate students (3 supervised works documented) and leads research projects including the 2023 ITU ZES Solar Car Team battery pack design and 2019 autonomous driving integration for solar electric vehicles. His work with the ARIBA solar vehicle team demonstrates commitment to applied renewable energy transportation solutions.

• Combustion Engineering
• Internal Combustion Engines
• Diesel Engines
• +۵ مورد دیگر

Prof. Seda Keskin is a Professor at Koç University's College of Engineering in the Department of Chemical and Biological Engineering. Her computational research focuses on designing advanced materials for gas separation and environmental applications. Research Focus: She specializes in developing metal-organic frameworks (MOFs), covalent organic frameworks (COFs), and composite materials for CO 2 capture, hydrogen storage, and gas purification using molecular modeling and machine learning. Her work integrates high-throughput computational screening to accelerate material discovery. Honors: Recognized with multiple awards including the TÜBİTAK Incentive Award, TÜBA GEBIP Young Scientist Award, and Industrial & Engineering Chemistry Research Excellence in Review Award. Publications: Her recent articles demonstrate advancements in rational materials design, hybrid membrane systems, and AI-driven approaches for sustainable technology solutions. Research consistently targets industrial scalability and environmental impact mitigation.

• Computational Materials Science
• Metal-Organic Frameworks
• Gas Separation
• +۳ مورد دیگر