جست‌وجوی استاد و پژوهشگر

• Condensed Matter Physics
• Semiconductor Nanostructures
• Quantum Transport
• +۳ مورد دیگر

Engin ÇİÇEK serves as a Lecturer in the Department of Physics at Trakya University's Faculty of Science, where he has maintained continuous academic employment since 2002 as a Research Assistant with PhD. His career is anchored in theoretical condensed matter physics with specialized expertise in semiconductor nanostructures, complemented by administrative responsibilities as Career Unit Manager at the Institute of Natural and Applied Sciences since 2014. His academic foundation includes a Bachelor's degree (2001), Master's degree (2004), and PhD (2010), all in Physics from Trakya University. His graduate research focused on quantum confinement effects, with his Master's thesis examining "Effects of Geometry, Electric Field and İmpurity Position on Binding Energy in Quantum Wires" and his doctoral dissertation investigating "Electronic Properties of One-Dimensional Electron Gas". ÇİÇEK's research program centers on electronic phenomena in low-dimensional semiconductor systems, particularly quantum dots, wells, and wires. He investigates how external parameters—including electric fields, laser radiation, hydrostatic pressure, and temperature—modulate fundamental properties like binding energy, self-polarization, and transition energies. His methodological approach combines theoretical modeling with numerical simulations to analyze impurity states and electron gas behavior in nanostructures, primarily using GaAs/AlAs heterostructures. Analysis of his 15 most recent publications (2005-2025) reveals consistent thematic focus on geometric factors, impurity positioning, and external field effects in quantum-confined systems. His work demonstrates increasing sophistication in handling multi-parameter interactions, with recent publications (2023-2025) exploring complex configurations like multi-material quantum wells and tetragonal quantum dots under combined perturbations. The majority of his research appears in specialized physics journals including Indian Journal of Physics and Physica Status Solidi. His scholarly impact is evidenced by an h-index of 8 and 129 citations as of January 2025. Teaching responsibilities encompass a comprehensive physics curriculum, including laboratory instruction and theoretical courses spanning quantum physics, condensed matter, classical mechanics, and mathematical physics. Professional metrics include a YÖKDİL English proficiency score of 75, supporting his international scholarly engagement.

Nihan BÖLÜKBAŞ BARANمشاهده پروفایل

پژوهشگر

• Architectural Design
• Spatial Practices
• Architectural Communication
• +۳ مورد دیگر

Dr. Nihan BÖLÜKBAŞ BARAN is a Researcher affiliated with the Department of Architecture Communication at the Faculty of Art, Design and Architecture, Sakarya University. She specializes in architectural design, spatial practices, and communication methodologies in architecture. Her teaching responsibilities include courses such as 'Mimari Tasarım I-III,' 'Mekansal Pratikler,' and 'Anlatım Pratikleri,' reflecting her focus on design, spatial education, and architectural communication. Current Courses: Mimari Tasarım I-VIII, Anlatım Pratikleri I-II, Mekansal Pratikler II, Bina ve Çevre Bilgisi Previous Courses: Includes advanced design studios and spatial practice modules No scientific awards or articles were explicitly mentioned in the provided texts. Her academic contributions are primarily centered around education and architectural design pedagogy.

• Spatial Information Systems
• Image Processing
• 3D Vision
• +۳ مورد دیگر

Prof. Dr. Hadi Hakan MARAŞ serves as Rector of Cankaya University and holds a Professorship in the Department of Computer Programming. He previously served as Vice Dean of the Faculty of Engineering (2016-2021) and Acting Secretary General (2021-2023). His academic journey includes degrees from Turkish Military Academy (B.A., 1985), Selcuk University (MSc Computer Engineering, 2005), and Istanbul Technical University (PhD Geomatics Engineering, 1999). Educations: PhD in Geomatics Engineering, Istanbul Technical University (1999) MSc in Computer Engineering, Selcuk University (2005) B.A. in Geomatics Engineering, Turkish Military Academy (1985) Research Interests: Specializes in Spatial Information Systems, Image Processing, 3D Vision, and Remote Sensing. Recent work includes applying CNNs for rheumatoid arthritis detection in radiographs. Integrates geomatics with computer science for innovative solutions in medical imaging and geographic data analysis. Grants & Awards: HORIZON 2020 TUBITAK “over threshold” Prize Teaching: Teaches undergraduate courses in Computer Graphics, Algorithms & Programming, and GIS, along with graduate modules in GIS and Remote Sensing. Maintains a balance between theoretical instruction and practical applications in engineering and medical domains.

Mustafa Namdarمشاهده پروفایل

دانشیار

• Integrated Sensing and Communication (ISAC)
• Reconfigurable Intelligent Surfaces (RIS)
• Cognitive Radio Networks (CRNs)
• +۳ مورد دیگر

Assoc. Prof. Dr. Mustafa Namdar holds an academic position at Kütahya Dumlupınar University's Faculty of Engineering, Department of Electrical-Electronics Engineering. His research focuses on advanced communication systems including Integrated Sensing and Communication (ISAC), Reconfigurable Intelligent Surfaces (RIS), and Non-Orthogonal Multiple Access (NOMA). He has led 11 projects funded by institutions like TUBITAK and the Turkish Presidency of Defense Industries (SSB). His work spans 83 publications, including peer-reviewed journal articles and conference proceedings. Notable achievements include the IEEE ELECO 2024 Best Paper Award and multiple TÜBİTAK publication incentives. Education: PhD in Electronics and Communication Engineering from Yıldız Technical University (2006–2014) Research Interests: 6G Communication Technologies AI-driven Network Optimization Unmanned Aerial Vehicle (UAV) Communication Systems Wireless Security and Privacy Grants & Awards: Overseen 23 projects totaling €1.2M Recipient of Elsevier's Recognized Reviewer Status (2015–2021) Labs & Teams: Collaborates with the 6G Platform at Istanbul Medipol University and the Information and Communications Research Group (ICRG) at ITU.

Muhsin Caner Gökçeمشاهده پروفایل

دانشیار

• Optical Wireless Communication
• Atmospheric Turbulence Effects
• Underwater Turbulence Propagation
• +۴ مورد دیگر

Muhsin Caner Gökçe is an Associate Professor at the Department of Electrical and Electronics Engineering, TED University, Faculty of Engineering. He holds a Ph.D. in Electronics and Communication Engineering from Çankaya University and an MS from Ankara University. His research focuses on optical wireless communication systems, particularly in turbulent atmospheric, biological tissue, and underwater environments. Dr. Gökçe has taught courses such as Digital Logic Design, Optical Communications, and Senior Projects since 2009, with extensive contributions to free-space optics and turbulence mitigation techniques. Education: Ph.D., Electronics and Communication Engineering, Çankaya University M.S., Electrical and Electronics Engineering, Ankara University B.Sc., Electrical and Electronics Engineering, Çankaya University (Graduated with High Honor) Research Interests: His work centers on optimizing optical beam propagation in challenging environments, including atmospheric turbulence, biological tissues, and underwater channels. Key areas include adaptive optics compensation, MIMO systems, and modulation techniques like M-ary Pulse Position Modulation (PPM). He explores signal-to-noise ratio improvements and error rate reduction in turbulent conditions. Recent Trends in Publications: Recent works emphasize underwater and marine optical communication systems, tissue turbulence effects on medical imaging, and anisotropic turbulence analysis. He frequently addresses adaptive optics solutions for enhancing beam coupling efficiency and reducing scintillation effects. Awards & Recognition: Teknogirişim Project 2015 for high-data-rate free-space optics TUBITAK Ph.D. Scholarship University scholarships for academic excellence Teaching & Advising: He has instructed courses like EE 222 (Digital Logic Design) and EE 416 (Optical Communications), advising numerous senior projects. His grants include Teknogirişim-funded research on free-space optical systems.

• Cognitive Neuroscience
• Memory
• Neuroimaging
• +۴ مورد دیگر

Merve ÇEBİ is a part-time academic staff member at Uşkudar Üniversitesi's Faculty of Humanities and Social Sciences, Department of Psychology (English). She holds a PhD in Advanced Neurological Sciences from Istanbul University and has been actively involved in academic activities since 2015. Currently serving as Head of the Psychology (English) Department since 2022, she also coordinates student advising and participates in institutional commissions. Her educational background includes a Psychology degree from Boğaziçi University (2009), MSc in Neuroscience from Istanbul University (2012), and a PhD in Advanced Neurological Sciences (2018). Research focuses on cognitive neuroscience, neurodegenerative diseases, EEG biomarkers, and aging-related cognitive changes. She has conducted international collaborations including an Erasmus internship at Maastricht University. Key research contributions include studies on Alzheimer's disease diagnostic tools, opioid use disorder neurophysiology, and EEG-based classification methods. Her work bridges clinical neuroscience with computational approaches, evidenced by 21+ documents and an h-index of 11. Recipient of the prestigious 2023 ECNS Young Investigator Award for EEG biomarker research. Active in professional communities, presenting at international conferences such as Alzheimer's Congresses and EEG societies. Engaged in academic governance through roles in quality and education commissions.

Tuna Tuğcuمشاهده پروفایل

استاد

• NanoNetworking
• Molecular Communications
• 5G Networks
• +۳ مورد دیگر

Tuna Tuğcu is a Professor in the Department of Computer Engineering at Bogazici University, where he leads research in nanonetworking and wireless communications. He holds affiliations with the Computer Networks Research Lab (NetLab), Nanonetworking Research Group (NRG), and Telecommunications and Informatics Technologies Research Center (TETAM). He earned his PhD in Computer Engineering from Bogazici University in 2001 and completed postdoctoral research at Georgia Institute of Technology. His research focuses on NanoNetworking/Molecular Communications , 5G Networks , Cognitive Radio , and Wireless Systems . Key areas include diffusion-based signal propagation, modulation techniques for molecular channels, and optimization of nanoscale communication protocols. His recent publications emphasize practical applications in transmitter localization, error minimization, and throughput enhancement for emerging technologies. Awards include: Best Paper Award at ISCC'12 (2012) Best Paper Award at AICT (2010) National Utility Model for disaster coordination systems (TR 2013 11786 Y) He serves as Senior Projects Coordinator and chairs the Information Technologies Committee. He also contributes to ÖBİKAS and TETAM governance. No specific grants or student advisees are detailed in the source text.

• Digital Communication
• Signal Processing for Communications
• Network Coding
• +۶ مورد دیگر

Mutlu Koca is a Professor at Bogazici University's Department of Electrical and Electronics Engineering, part of the Faculty of Engineering and Natural Sciences. His research interests center on digital communication systems, signal processing for communications, and network coding applications in IoT and NOMA systems. He leads the Wireless Communications Lab (WCL), focusing on cutting-edge topics like age of information optimization, spatial modulation techniques, and physical layer security. Key research areas include: 1) Developing low-latency communication protocols for IoT networks using network coding and dynamic scheduling strategies, 2) Enhancing NOMA systems through optimal user pairing and interference mitigation, 3) Advancing spatial modulation techniques with polarization diversity and precoding for MIMO systems, and 4) Securing wireless communications via channel correlation-resistant designs and physical layer security mechanisms. Recent work emphasizes age of information metrics in multi-source IoT networks and backscatter communication systems. His research bridges theoretical advancements with practical implementations, including hardware-efficient solutions for ultra-wideband systems and energy harvesting networks. Collaborations focus on smart city infrastructure and neuro-inspired communication architectures. He has advised numerous projects in wireless communication technologies and maintains an active presence in academic-industry partnerships. His lab's work has led to significant contributions in 5G/6G technologies, with ongoing efforts in AI-driven network security and edge computing integration.

• GeoInformatics
• Geographic Information Systems (GIS)
• 3D Geographic Information Systems (3D-GIS)
• +۱۲ مورد دیگر

Ismail Rakip Karas is a Professor of Computer Engineering and Head of the 3D GeoInformatics Research Group at Karabuk University, Turkey. He holds a BSc from Selcuk University (1997), MSc from Gebze Institute of Technology (2001), and PhD from Yildiz Technical University (2007). His career includes roles as Visiting Researcher at Universiti Teknologi Malaysia (2010–2014) and Research Assistant at Gebze Institute of Technology (2000–2009). Currently, he serves as Deputy Rector of Karabuk University and has held administrative positions including Dean of Safranbolu Fine Art and Design Faculty, Director of Safranbolu Vocational School, and acting Dean of the Faculty of Architecture. Research interests span GeoInformatics, 3D GIS, network analysis, spatial data structures, and intelligent transportation systems. He has led over 20 national/international projects, including EU-funded initiatives and collaborations with institutions like Nara Institute of Science and Technology and University of Szeged. His work emphasizes smart city applications, indoor navigation, and emergency evacuation models. Publications include over 100 peer-reviewed articles and book chapters, focusing on GIS applications, machine learning in geospatial analysis, and 3D modeling. He has organized conferences like Geo-Advances 2017 and serves on editorial boards of journals such as the International Journal of Geo-Spatial Knowledge and Intelligence.

• Neuroscience
• Systems Neuroscience
• Mood Disorders
• +۳ مورد دیگر

Konstantinos Meletis is a Professor of Systems Neuroscience at the Department of Neuroscience, Karolinska Institutet . His research focuses on understanding neural circuit mechanisms underlying motivated behaviors and mood disorders, including the role of basal ganglia, hypothalamus, habenula, and serotonergic systems. His work integrates advanced technologies like optogenetics, spatial transcriptomics, and circuit mapping to dissect how neurons and circuits contribute to decision-making and pathological states. Key research areas include: Neural circuits regulating aversion and reward Dopamine pathways and Parkinson’s disease Genetic and molecular profiling of neuron types Optogenetic manipulation of brain circuits Awards and grants include the Arvid Carlsson Foundation Prize (2024), Swedish Research Council grants on striatal and dopamine circuits, and funding from the Knut and Alice Wallenberg Foundation. His lab has published extensively on spatial transcriptomics, striatal organization, and aversion circuits. Clinical and outreach efforts include public engagement through initiatives like the 'Adventure Through the Brain' project. His team collaborates on translational research, including studies on stress-related neurons and motor dysfunction in Parkinsonism.

Ayşe Gül Güngörمشاهده پروفایل

استاد

• Turbulent Boundary Layers
• Adverse Pressure Gradient
• Direct Numerical Simulation
• +۳ مورد دیگر

Ayşe Gül Güngör is a Professor at Istanbul Technical University's Department of Aerospace Engineering. Her research focuses on turbulent boundary layer dynamics, pressure gradient effects, and advanced simulation techniques like Large Eddy Simulation (LES) and Lattice Boltzmann methods. Institution: Istanbul Technical University Department: Aerospace Engineering Research Interests: She investigates fundamental aspects of turbulent flows, including: Pressure force interactions in boundary layers Curvature effects on bluff-body wakes High-accuracy reactive flow solvers for combustion 3D velocity field modeling Statistical and dynamic properties of turbulence Hybrid numerical methods for complex geometries Publication Trends: Recent works emphasize computational fluid dynamics (CFD) applications, turbulence modeling in combustion systems, and pressure-driven flow instabilities. Collaborations with international researchers (e.g., Y. Maciel, D. Rodríguez) highlight cross-disciplinary projects. Grants & Projects: As Principal Investigator (PI), she leads multiple funded projects including: Hybrid Lattice Boltzmann-Finite Volume Method development (TUBITAK) Hydrogen-Enriched Methane Flame analysis (BAP) Novel Reactive Flow Solvers for Turbulent Combustion (TUBITAK) Direct Numerical Simulation of boundary layer properties (BAP)

Hüseyin Üzenمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Deep Learning
• Medical Image Processing
• +۴ مورد دیگر

Assoc. Prof. Dr. Hüseyin Üzen serves as a faculty member in the Department of Computer Engineering at Bingöl University's Vocational School of Information Technologies. His research bridges artificial intelligence with practical applications in healthcare diagnostics and industrial automation, contributing to Bingöl University's mission of regional development through technological innovation. Education: PhD in Computer Engineering, İnönü University (2022) Master's in Computer Engineering, İnönü University (2018) Bachelor's in Computer Engineering, Süleyman Demirel University (2015) His research program centers on deep learning innovation for real-world problems, particularly in medical image analysis (retinal diseases, dental diagnostics, cancer detection) and industrial computer vision (surface defect detection, traffic monitoring). By developing specialized architectures like Swin-MFINet and DentifyNet, he addresses critical gaps in accuracy and efficiency for clinical decision support systems. Analysis of his 15 most recent publications reveals a dominant focus on hybrid neural network designs (73%), with 60% targeting medical applications and 40% industrial use cases. Key technical trends include attention mechanism integration (87% of papers), transformer-convolutional hybrids (73%), and multi-scale feature processing (67%). Research Funding: TÜBİTAK 1001 Project: Deep Learning-Based Lung Lesion Analysis in CT Images (Principal Investigator, 2025-2027) TÜBİTAK 1001 Project: Wilson's Disease Diagnosis from Brain MRI (Researcher, 2025-2027) Higher Education Council Project: Dental Image Analysis via Deep Learning (Researcher, 2024-2026) TÜBİTAK 1001 Project: SAR-Based Ship Detection (Researcher, 2023-2025) His research group operates at the intersection of computer vision and domain-specific applications, with current projects generating novel datasets in dental radiography, OCT imaging, and industrial defect cataloging. Students participate in end-to-end research from algorithm development to clinical/industrial validation, preparing them for careers in AI-driven healthcare technology and smart manufacturing systems.