جست‌وجوی استاد و پژوهشگر

Nuri Doğanمشاهده پروفایل

استادیار

• Educational Measurement
• Psychometrics
• Computerized Adaptive Testing
• +۳ مورد دیگر

Nuri Doğan serves as an Assistant Professor in the Department of Educational Sciences at Mehmet Akif Ersoy University's Faculty of Education. His scholarly work focuses on advanced methodological approaches in educational measurement and assessment. His research spans six key areas: Educational Measurement (primary focus) Psychometrics (specializing in scale validation) Computerized Adaptive Testing systems Large-Scale Assessment analysis (particularly PISA) Test Validity and Reliability frameworks Statistical modeling for educational data Recent work emphasizes Likert-scale optimization, differential item functioning, and multistage testing design. Analysis of his 15 most recent publications reveals strong emphasis on computational psychometrics, with 70% involving simulation studies or advanced statistical modeling. His work consistently addresses practical measurement challenges in Turkish educational contexts while contributing to international methodological discourse. No scientific awards or honors are documented in available records. Doğan maintains active research collaboration with scholars across Turkish universities but shows no current supervision of graduate students based on publication records. His work demonstrates independent scholarly productivity without documented grant funding, as indicated by 'Proje Sayısı 0' in institutional metrics. He operates without a dedicated laboratory, conducting research through departmental resources within the Faculty of Education.

• Education & Educational Research
• Technology in Education
• Cyberpsychology
• +۳ مورد دیگر

Yavuz Akbulut is a Professor at Anadolu University's Faculty of Education , specializing in the intersection of education and technology. With an MA in Computer-Assisted Language Learning and a PhD in Instructional Design and Technology, his academic career spans international scholarship experiences focusing on emerging technologies in education. Over 70 publications 15+ directed research projects h-index: 17 (Web of Science), 20 (Scopus), 39 (Google Scholar) Research interests include: Cyberpsychology & digital behavior Scale development methodologies Working memory & multitasking dynamics Technology integration in education Cognitive load theory in digital environments His publications reveal trends in: Psychometric validation of digital tools Cognitive load in multimedia learning Digital parenting & internet safety Cybervictimization & cyberbullying ICT integration in educational systems Scale development for educational research With 30+ projects and significant citation metrics, Dr Akbulut's work bridges empirical research and practical implementation of educational technologies across diverse populations including gifted students and adolescents.

Hüseyinمشاهده پروفایل

مدرس

• Educational Technology
• Science Education
• STEM Education
• +۳ مورد دیگر

Hüseyin serves as a Lecturer in the Department of Graphics at Kırıkkale University's Vocational School, holding this position since 2018 while concurrently managing the university's Press, Broadcasting and Public Relations Unit from 2018-2022. His academic foundation stems from Gazi University, where he completed all degrees in Fine Arts Education with specialization in Painting. His educational credentials include: PhD in Fine Arts Education (Gazi University, 2017-2024) Master's in Painting Education (Gazi University, 2017) Bachelor's in Painting Education (Gazi University, 2013) Hüseyin's research bridges educational technology with science pedagogy, focusing on AI-driven learning analytics, augmented reality applications, and computational thinking development. His work investigates how digital interventions like game-based learning and flipped classrooms transform conceptual understanding in physics concepts such as pressure systems and Hooke's law, while simultaneously cultivating 21st-century skills including entrepreneurial thinking and creative problem solving through Arduino-based STEM activities. Analysis of his publication trajectory reveals three dominant research vectors: (1) AI-enhanced misconception detection using NLP techniques, (2) immersive laboratory environments combining AR with traditional POE strategies, and (3) physical computing integration for developing algorithmic thinking. His recent 2023-2025 publications demonstrate increasing emphasis on educational data mining for personalized instruction and entrepreneurship skill cultivation within STEM contexts. No scientific awards were documented in the provided materials. Hüseyin's project portfolio includes achievement test development for physics concepts and experimental activity design for teacher training. His work spans formal classroom settings, university laboratories, and out-of-school learning environments, with notable focus on adapting REACT strategy implementation and flipped classroom models for laboratory instruction. Current projects emphasize AI-supported differentiated instruction and computational thinking development through tangible interfaces. His laboratory research examines the comparative effectiveness of virtual, computer-based, and augmented reality environments on student skills acquisition, with particular attention to graphical interpretation competencies and attitude formation. Collaborative knowledge construction remains central to his approach, as evidenced by consistent application of learning cycle models across diverse experimental contexts.

• Industrial Engineering
• Operations Research
• Simulation Optimization
• +۵ مورد دیگر

Prof. Dr. Berna Dengiz is a faculty member at Baskent University's Department of Industrial Engineering, with over 30 years of academic experience. She has published 136 articles and supervised numerous research projects, focusing on simulation optimization, network design, and deep learning applications in engineering. Academic Motivation: 2009 (Dental Faculty Students) Network Design: 2017 (ECCO XXI Conference) Reliability Analysis: 2003 (ANNIE Conference) Her research bridges industrial engineering with healthcare applications, particularly through deep learning implementations in medical imaging and reliability estimation. She has served as a journal editor and conference organizer.

N. Ziya Perdahçıمشاهده پروفایل

دانشیار

• Network Science
• Social Network Analysis
• Data Analytics
• +۳ مورد دیگر

N. Ziya Perdahçı is an Associate Professor at Bogazici University, specializing in Management Information Systems . His research focuses on network science applied to social, educational, and business contexts, including stochastic block models, customer segmentation, and digital platform analysis. He teaches courses in programming, databases, and business application development. Education: Undergraduate: Bogazici University, Physics M.A.: Bogazici University, Physics Ph.D.: Bogazici University, Physics Research Interests: Stochastic Block Models Statistical Social Network Analysis Customer/Product Segmentation Technology Adoption Users’ Interconnectedness Analytics Social Network Correlations Patents: Electricity generation device (TR 2007 07104B, 2007) Ceramic sliced helical heater (24466, 1990) His recent work explores digitalization in art (NFTs, Metaverse), technology acceptance models for website analysis, and co-purchase behavior in e-commerce. He has published extensively on network-based theories in education, healthcare, and cloud computing environments. He collaborates frequently with Mehmet Nafiz Aydin and Kenan Kafkas on interdisciplinary projects combining physics principles with information systems research. His book chapters cover metadata action networks and big data analytics frameworks.

Semiha Tedik Başaranمشاهده پروفایل

استادیار

• Wireless communications
• Network coding
• 5G and beyond networks
• +۷ مورد دیگر

Semiha Tedik Başaran is an Assistant Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University's Faculty of Electrical and Electronics Engineering. She received her PhD in Telecommunications Engineering from Istanbul Technical University in 2019 and has been working at the university since 2011, first as a Research Assistant and then as an Assistant Professor starting in 2020. Her educational background includes: PhD in Telecommunications Engineering from Istanbul Technical University (2013-2019) MSc in Telecommunications Engineering with Thesis from Istanbul Technical University (2011-2013) Bachelor's Degree in Electronics and Communication Engineering (Double Major) from Istanbul Technical University (2006-2011) Dr. Başaran's research focuses on wireless communications, network coding, and next-generation wireless networks. Her work spans theoretical analysis and practical implementation of communication systems, with particular emphasis on network coded cooperation, physical layer security, and wireless network reliability. She has made significant contributions to understanding the performance of network coded systems in various wireless environments, including satellite communications and 5G/6G networks. Her recent publications demonstrate a growing interest in integrating artificial intelligence with wireless communications, particularly for IoT applications and edge computing, while also advancing research in THz communication systems and their challenges in adverse weather conditions. Her scientific achievements have been recognized with several prestigious awards: Doctoral Thesis Award from Istanbul Technical University (2020) IEEE Türkiye Doctoral Thesis Award (2020) Best Poster Award at IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE-2016) (2016) Dr. Başaran serves as Principal Investigator for multiple research projects including 'Designing 5G and Beyond Cellular Private Networks Secure Against DDoS Attacks,' 'Performance Analysis of THz Communication Systems,' 'Coverage Analysis of LEO Satellite Systems,' and 'Development of Multiple Access Techniques Providing Low Latency Performance for Next Generation Communication Systems.' Her h-index of 8 (based on Scopus) reflects her impactful contributions to the field of wireless communications, with 36 research outputs spanning from 2013 to 2024. She maintains an active research lab focused on wireless communications and network coding, where her team works on both theoretical analysis and practical implementation of next-generation communication systems using software-defined radio platforms, with strong international collaborations extending across multiple countries as indicated by her research footprint.

Kemal Gökhan NALBANTمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Fuzzy Decision-Making Systems
• +۳ مورد دیگر

Kemal Gökhan NALBANT is an Assistant Professor at the Department of Software Engineering, Faculty of Engineering and Architecture, Istanbul Beykent University, and serves as Deputy Director of the Institute of Science. His academic career spans multiple institutions including Istinye University and Istanbul Beykent University. Assistant Professor (2019–Present) Deputy Director, Institute of Science Published in 25+ international/national journals Active in 5G, AI, and Metaverse research Research focuses on Artificial Intelligence and Fuzzy Decision-Making Systems applied to: Digital Marketing & Metaverse Textile Defect Detection Campus Environment Design Renewable Energy Optimization Industrial IoT Reliability Recent articles emphasize machine learning and interval type-2 fuzzy methodologies across diverse domains. Collaborates with researchers in Turkey, China, and international networks. No scientific awards recorded in available texts.

• High Voltage Engineering
• Electrical Insulation
• Corona Discharge
• +۲ مورد دیگر

Suat İlhan is an Associate Professor at the Department of Electrical Engineering, Istanbul Technical University. His academic career spans over two decades, with a focus on high voltage engineering and electrical insulation systems. He received his PhD in Electrical Engineering from Istanbul Technical University in 2005. Fields of Study: High Voltage Engineering, Electrical Insulation, Corona Discharge His research explores corona discharge detection, silicone rubber composites, and fault location algorithms in power systems. Recent projects include non-contact voltage detectors and deep learning applications for material hydrophobicity analysis. He has supervised multiple graduate theses on topics like fault current limiting and transient overvoltage analysis. Scientific awards include the 2019 Eleco Best Paper Award, 2013 Young Researcher Award from ISH, and the 2005 Siemens Excellence Award. He leads research projects on high voltage systems and is actively involved in the Outdoor Insulation Technical Committee of IEEE.

• Reinforcement Learning
• Robotics
• Control Systems
• +۷ مورد دیگر

Associate Professor Ahmet Onat at Istanbul Technical University 's Department of Control and Automation Engineering specializes in dynamic systems, reinforcement learning, and embedded systems. Holding a PhD from Kyoto University, he bridges robotics, renewable energy, and human-computer interaction. Educational Background: PhD (1995-1999) and MS (1993-1995) from Kyoto University under Japanese government scholarship; BS from Istanbul Technical University (1987-1991). His research spans reinforcement learning for wind turbine optimization, linear motor applications in elevators, and Bayesian trajectory control for robotic manipulators. He pioneered multi-modal medical visualization systems and autonomous underwater vehicle communication frameworks. Recent publications highlight trends in: 2023 : Neural control policies for wind energy optimization 2022 : Contactless sensor design and hybrid communication systems 2019-2017 : Real-world robotics control implementations Scientific recognitions include: Best Paper Award (ICME 2023, 2015) FP6 Project Grant (TUBITAK 2004) Monbusho Scholarship (1993-1999) Actively advising students in control engineering and open-source industrial design, he leads projects integrating edge intelligence and reliable wireless communication systems.

Haluk Topcuogluمشاهده پروفایل

استاد

• Multicore Architectures
• Parallel Algorithm Design
• Fault Tolerant Computing
• +۵ مورد دیگر

Haluk Topcuoglu is a Full Professor in the Department of Computer Engineering at Marmara University's Faculty of Engineering. He holds a PhD from Syracuse University (1999) and has been at Marmara University since 1999, progressing through roles as Assistant, Associate, and Full Professor. His research focuses on multicore architectures, parallel algorithms, fault tolerance, dynamic optimization, and hybrid evolutionary algorithms. He has led multiple funded projects, including TUBITAK initiatives on reliability optimization and sensor placement. Education: PhD in Computer Science (Syracuse University, 1999), MSc and BSc in Computer Engineering (Boğaziçi University, 1993 and 1991). Research Interests: Task scheduling for multicore systems, reliability-aware computing, dynamic optimization, and applications of evolutionary algorithms in cloud/fog computing. His work emphasizes balancing performance, energy efficiency, and fault tolerance in parallel systems. Awards include the 2008 IBM Faculty Award, 2010 IEEE ISDA Best Paper Award, and Marmara University's 2012 Publication Impact Award. He has supervised 4 PhD and 19 MSc theses, with ongoing research in machine learning-assisted metaheuristics and dynamic monitor selection. Editorial roles include Cluster Computing Journal (SCI-Expanded) and Journal of Aeronautics and Space Technologies. He teaches courses on evolutionary computing, multicore computing, and parallel processing. Current projects include cross-layer reliability frameworks and scheduling algorithms for fog computing, reflecting his focus on industry-relevant computational challenges.

• Optics
• Photonics
• Optoelectronics Communication
• +۶ مورد دیگر

Prof. Dr. Gökalp KAHRAMAN is a Professor at the Department of Electrical and Electronics Engineering, Faculty of Engineering, Ege University. His research focuses on Optics, Photonics, and Optoelectronics Communication, with specializations in optical fiber technology, magnetic materials, and quantum statistical properties of photonic systems. His professional experience includes contributions to the design of acousto-optic filter modules, neural network-based control systems, and FBG sensor technologies. He has also explored sustainable development goals through his work in energy systems and signal processing. Key research areas include the structural analysis of thin films, magnetic field effects on optical fibers, and noise characterization in optical communication components. His publications span over three decades, demonstrating expertise in both theoretical and applied aspects of photonics and electronics. Prof. KAHRAMAN has collaborated on interdisciplinary projects involving materials science, quantum optics, and telecommunications. His work bridges fundamental physics with engineering applications, contributing to advancements in optical amplifiers, sensor systems, and quantum noise analysis.

• 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)

• Programming Languages
• Software Engineering
• Compiler Optimization
• +۵ مورد دیگر

Qirun Zhang is an Assistant Professor in the School of Computer Science at the Georgia Institute of Technology . He holds the Catherine M. and James E. Allchin Early Career academic title. His research focuses on programming languages , software engineering , and compiler optimization , with an emphasis on program analysis , static analysis , and formal methods . He received his Ph.D. in Computer Science and Engineering from The Chinese University of Hong Kong (2013) and a Bachelor's from Zhejiang University (2009). Research Interests include techniques for improving software reliability/security via program analysis and compiler optimization. His work leverages computational complexity, analytic combinatorics, graph theory, and formal languages. Notable contributions involve debug information validation , context-free language reachability , and compiler testing frameworks like Skeletal Program Enumeration (SPE) . Recent Work spans scalable cryptographic accelerator design, LLVM-based debug validation, and SMT solving optimizations. His papers often address algorithmic improvements for reachability problems and compiler correctness. Awards include the PLDI Distinguished Paper Award (2020) and Facebook Fellowship (2021). He serves on program committees for top venues like POPL, SAS, and PLDI, and chairs artifact evaluation committees (PLDI'25). Teaching includes courses on compilers (CS 4240), software analysis (CS 6340), and advanced program analysis (CS 8803). He mentors a research group with current Ph.D. students and MS/undergraduate researchers. Lab/Team focuses on rigorous compiler validation and program analysis tools. Open positions are available for Fall 2025.

Ekmel Ozbayمشاهده پروفایل

استاد

• Nanophotonics
• Metamaterials
• Nanoelectronics
• +۵ مورد دیگر

Prof. Ekmel Ozbay is a full professor in Physics and Electrical and Electronics Engineering at Bilkent University, Turkey. He leads the Nanotechnology Research Center (NANOTAM) and Bilkent Space Technologies Research Center (BILUZAY). His research focuses on nanophotonics, metamaterials, and optoelectronics, with notable contributions to photonic crystals and GaN-based devices. He has authored over 169 SCI papers and holds patents in photonic crystals. Awards include the Adolph Lomb Medal (1997) and the Descartes Science Award (2005). Education: B.S. (1983) from Middle East Technical University, M.S./Ph.D. (1989/1992) from Stanford University. Postdoctoral research at Stanford and DOE Ames Laboratory (1992–1995) preceded his tenure at Bilkent since 1995. Research interests span nanotechnology, plasmonics, and high-speed optoelectronics. Recent work includes EU-funded projects on metamaterials (e.g., EU-DALHM, PHOREMOST) and national grants. His labs develop advanced devices for radar, fiber optics, and energy harvesting. Awards highlight his impact: 1997 Adolph Lomb Medal (OSA), 2005 Descartes Science Award (EU), and multiple TÜBİTAK recognitions. He edits Optics Letters and Photonics and Nanostructures . Grants: Principal investigator in 5 EU projects (FP6/FP7) and 10 national programs. Collaborates with US/EU tech firms. Serves on EU-NMP program committees for nanotechnology. Labs: NANOTAM and BILUZAY advance nanotech applications, including metasurfaces, radiative coolers, and piezoelectric nanogenerators. His work bridges photonics, electronics, and materials science for next-gen technologies.

Mustafa Dinçمشاهده پروفایل

مدرس

• Modeling & Simulation
• Artificial Intelligence
• Unmanned Systems
• +۵ مورد دیگر

Mustafa Dinç is an Adjunct Instructor in the Department of Communication and Design at Bilkent University, Faculty of Art, Design, and Architecture. He holds a Ph.D. in Aerospace Engineering (2013, İstanbul Technical University), an M.Sc. in Computer Science (2001, Naval Postgraduate School, USA), and a Bachelor’s in Electrical and Electronics Engineering (1994, Turkish Naval Academy). His career spans over 10 years in Modeling & Simulation (M&S) and project management in the Turkish Armed Forces, alongside teaching roles at Middle East Technical University and Çankaya University. Research focuses on Modeling & Simulation (AI, Deep Learning, Agent-Based Models), Unmanned Systems (AUVs/UAVs control), and C4ISR Systems . His work bridges engineering and design disciplines, emphasizing practical applications in defense, robotics, and virtual environments. Publications span technical journals, conferences (IEEE, RAST), and book chapters on AUV dynamics, agent-based simulations, and navigation systems. He actively contributes to academic initiatives like the Bilkent Media Future Initiative.