جست‌وجوی استاد و پژوهشگر

• Architecture
• Social Sciences and Humanities
• Education
• +۶ مورد دیگر

Lecturer PhD Kiyomet Sancar Özyavuz is affiliated with Karadeniz Technical University's Faculty of Architecture, Department of Architecture. She holds a doctorate in Architecture from the same institution and has been a lecturer since 2014. Her educational background includes a PhD (2005-2012), postgraduate (2001-2005), and undergraduate (1997-2001) from Karadeniz Technical University. PhD in Architecture MSc in Architecture BArch in Architecture Her research spans architectural design, education, and building information systems. Recent work focuses on graphic elements for cultural identity preservation, healthcare architecture, and digital learning tools. She contributes to interdisciplinary projects blending technology with architectural representation. Selected publications highlight trends in sustainable design, user-centered healthcare environments, and cultural continuity through visual communication. Active in institutional projects, she leads or participates in initiatives like the Trabzon Architecture Guide and KTU Children's Hospital design. Scientific recognition includes the 2022 Best Design Award from Engineering Architecture Awards for KTU Children's Hospital. She serves as Assistant Editor for Livenarch+ Journal and contributes to peer reviews. Professional activities include thesis advisories and participation in funded projects by TUBITAK and the Ministry of Development. Her design portfolio features KTU Medical Faculty Campus Development and Farabi Hospital projects.

• Computational Finance
• Stochastic Volatility Modeling
• Magnetohydrodynamics (MHD)
• +۶ مورد دیگر

Ömür Uğur is a Professor at Middle East Technical University's College of Sciences, specializing in computational mathematics and quantitative finance. His research bridges advanced numerical methods with financial and physical applications, evidenced by 64 WoS-indexed publications and 44 thesis advisements. His primary research interests include computational finance (stochastic volatility models, option pricing), magnetohydrodynamics (MHD duct flows, Hartmann number effects), and numerical analysis (SUPG-stabilized finite element methods, shock-capturing techniques for convection-dominated equations). Recent work integrates machine learning with wavelet analysis for time series and develops hybrid models for financial risk assessment. Analysis of his 15 most recent publications (2021-2025) reveals a strong focus on stabilized finite element formulations for challenging PDEs, with applications spanning finance (option pricing under Heston model), physics (MHD flows), and epidemiology (COVID-19 transmission modeling). Key methodological innovations include SUPG-YZβ formulations and discontinuity-capturing for high-Reynolds-number flows. Scientific Recognition: 210 H-index (Scopus) 269 H-index (Scopus) 323 H-index (Google Scholar) 44 thesis advisements completed His collaborative research spans computational economics, actuarial science, and fluid dynamics, with significant contributions to solving advection-dominated problems and financial market modeling. Current projects include real-time aircraft dynamics control and hypersonic flow modeling.

Reyhan Aydoğanمشاهده پروفایل

دانشیار

• Automated Negotiation
• Multiagent Systems
• Decision Support Systems
• +۳ مورد دیگر

Reyhan Aydoğan is an Associate Professor and Chair of the Department of Artificial Intelligence and Data Engineering at Ozyegin University, Istanbul, Turkey, and a Research Fellow in the Interactive Intelligence Group at Delft University of Technology, Netherlands. She has held these positions since 2024 and 2015 respectively. Her academic background includes: Doctorate in Computer Engineering, Boğaziçi University, 2011 Master's in Computer Engineering, Boğaziçi University, 2006 Bachelor's in Computer Engineering, Dokuz Eylül University, 2003 Dr. Aydoğan specializes in modeling intelligent agent technologies that integrate reasoning, decision making, and learning. Her research applies machine learning and semantic reasoning to develop agent-based decision support systems, with primary focus on automated negotiation tools where software agents negotiate on behalf of users. She investigates human-computer interaction mechanisms to support human decision makers in complex environments, particularly through preference elicitation techniques. She is a principal organizer of the International Automated Negotiating Agents Competition (ANAC), a major benchmarking event in multiagent systems research. Her career includes faculty positions at Ozyegin University since 2015 (promoted to Associate Professor in 2024), postdoctoral research at Delft University of Technology (2011-2015), and research visits to MIT, Norwegian University of Science and Technology, Nagoya Institute of Technology, and Universidad de Alcala. Her primary research affiliation is with the Interactive Intelligence Group at Delft University of Technology, where she contributes to advancing multiagent system theory and applications in negotiation support.

Sedat Özerمشاهده پروفایل

استادیار

• Machine Learning
• Artificial Intelligence
• Deep Learning
• +۶ مورد دیگر

Sedat Özer is an Assistant Professor in the Department of Electrical and Computer Engineering at Özyeğin University's Faculty of Engineering. His academic journey includes a Ph.D. in Electrical & Computer Engineering from Rutgers University (2013), an M.S. in Electrical Engineering from the University of Massachusetts (2007), and a B.S. in Electronics Engineering from Istanbul University (2002). Research Interests : Dr. Özer specializes in developing scalable and explainable machine learning algorithms, focusing on path planning for autonomous systems, video analysis, data fusion, and computer vision. His work has applications in intelligent and self-driving systems. Awards : TÜBİTAK 2232: International Fellowship for Outstanding Researchers (2019) Professional Roles : He has served as a publicity co-chair for the IEEE Connected and Automated Vehicles Symposium and as a reviewer for top-tier journals/conferences including IEEE Transactions on Image Processing (TIP), IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), NeurIPS, ICML, and RSS. His prior affiliations include the Virginia Image and Video Analysis (VIVA) Lab, MIT's CSAIL, and the University of Central Florida's CRCV.

Barkan Uğurluمشاهده پروفایل

دانشیار

• Legged Robotics
• Humanoid Robotics
• Quadruped Robotics
• +۴ مورد دیگر

Barkan Uğurlu serves as Associate Professor in Mechanical Engineering at Özyeğin University's Faculty of Engineering since February 2015, leading research in human-robot symbiosis for physical assistance through the Biomechatronics Laboratory. His academic credentials include: B.E. in Electrical Engineering (high honors) from Yıldız Technical University, 2004 M.E. in Mechatronics Engineering from Istanbul Technical University, 2006 Ph.D. in Electrical and Computer Engineering from Yokohama National University, 2010 Research centers on legged locomotion control and exoskeleton development with emphasis on human safety and compliance. Current projects address paraplegia mobility through crutch-free lower-body exoskeletons, multi-functional upper-limb rehabilitation systems using series-elastic actuators, and industrial manipulation via the EU-funded CoMRAde project that enables robots to learn impedance-critical tasks through physical human interaction. Key recognitions include: Monbukagakusho Scholarship from Japanese Ministry of Education Marie Skłodowska-Curie Individual Fellowship for CoMRAde project The Biomechatronics Laboratory (AB4 Building) integrates mechatronic design, nonlinear control, and biomechanics to develop assistive technologies. Current priorities include 3D walking stabilization for exoskeletons, pathological gait simulation, and low-impedance actuator development targeting Turkey's 150,000 spinal-cord injury patients and industrial applications requiring human-robot collaboration.

Hakan Demirمشاهده پروفایل

پژوهشگر

• Chemical Engineering
• Materials Science
• Computational Chemistry
• +۳ مورد دیگر

Hakan Demir is a researcher at Ozyegin University's Faculty of Engineering, Department of Chemical Engineering. His work combines computational chemistry and material science to advance gas separation technologies. Education B.S. Chemical Engineering, Middle East Technical University (2009) M.S. Chemical Engineering, Middle East Technical University (2011) Ph.D. Computational Chemistry, Georgia Institute of Technology (2016) Research Focus Hakan Demir's research centers on: Designing novel porous materials (e.g., MOFs, COFs) Modeling gas adsorption/diffusion in porous media Integrating machine learning with molecular simulations for material prediction Developing solutions for CO2/CH4 separation, CF4 removal, and biogas upgrading His work addresses energy and environmental challenges through computational approaches and has been published in high-impact journals. Projects He leads a TUBITAK 3501 project focused on developing ionic liquid/MOF composites for natural gas separation using classical molecular simulation and machine learning.

C. Emre Dedeağaçمشاهده پروفایل

پژوهشگر

• ASIC/SOC/FPGA Design/Automation
• Neural Network Accelerators
• Computer Arithmetic
• +۴ مورد دیگر

C. Emre Dedeağaç is a Researcher and Ph.D. candidate in Computer Engineering at Özyeğin University's Faculty of Engineering. His academic roles focus on Electrical and Electronics Engineering, with research activities spanning advanced computing disciplines. Education: B.Sc. in Electrical and Electronics Engineering, Özyeğin University (2020) Minor in Computer Science/Engineering, Özyeğin University Ph.D. in Computer Engineering, Özyeğin University (ongoing) Research Interests: Specializing in ASIC/SOC/FPGA Design/Automation and Neural Network Accelerators for hardware optimization Contributing to fundamental research in Computer Arithmetic and Embedded Systems Exploring intersections with Machine Learning and High-Frequency Trading (HFT)

Erik den Hartighمشاهده پروفایل

استادیار

• Technology and Innovation Strategy
• Company Innovation Systems
• Business Ecosystems
• +۳ مورد دیگر

Erik den Hartigh is an Assistant Professor at Özyeğin University's Faculty of Business in Istanbul, Turkey, specializing in Strategy and Innovation. He holds a PhD (2005) and Master's (1995) from Erasmus University Rotterdam. Research Interests Technology and Innovation Strategy Company Innovation Systems Digital Platforms for Manufacturing Business Ecosystems Digital Transformation His recent publications focus on digital platform configurations in manufacturing, business ecosystem health metrics, and the interplay between technology lifecycle and alliance networks. He has co-authored studies with institutions like TNO and University of Antwerp. Teaching Technology and Innovation Management (MGMT401) Project Management (MGMT311) Business Integration (SEC402)

Özge Sezgin Alpمشاهده پروفایل

استادیار

• Financial Markets and Institutions
• Probability and Stochastic Processes
• Financial Risk Management
• +۱ مورد دیگر

Prof. Dr. Özge Sezgin Alp is an Assistant Professor at the Department of Accounting and Financial Management, Faculty of Commercial Sciences, Baskent University. She holds a PhD (2011) and MSc (2006) in Financial Mathematics from Middle East Technical University and a Bachelor's (2004) in Statistics and Computer Science from Baskent University. Research Interests: Financial Markets and Institutions, Probability and Stochastic Processes, Financial Risk Management, and Risk Analysis. Her work often addresses emerging markets, financial modeling, and cross-country comparisons. Publication Trends: Focuses on financial markets in Turkey, including agricultural commodities, oil price impacts, and insurance index dynamics. Recently explored sustainability reporting aligned with UN SDGs and international valuation standards. Projects: Participated in research initiatives like EUfinDiAlog (2024) on finance in the digital era and consulted on insurance industry projects in 2019. Courses Taught: Elements of Probability and Statistics, General Mathematics, Business Finance, Investment Analysis, Portfolio Management, and Risk Analysis.

• Computer-Assisted Language Learning (CALL)
• Learning Management Systems (LMSs)
• L2 Writing Feedback
• +۳ مورد دیگر

Dr. Arif Bakla is a Lecturer at the Department of Translation and Interpretation, Faculty of Humanities and Social Sciences, Ankara Yıldırım Beyazıt University. He serves as the head of both the Department of Translation and Interpretation and the Department of Linguistics. His research focuses on CALL (Computer-Assisted Language Learning), Learning Management Systems, and feedback mechanisms in L2 writing pedagogy. Education : PhD in ELT (English Language Teaching) Leadership Roles : Head of Department of Translation and Interpretation, Head of Department of Linguistics Research Areas : CALL, LMSs, L2 Writing, Educational Technology Publications : Published in journals like Language Learning & Technology, ReCALL, and Computers & Education He has translated academic works into Turkish, including a book on CAQDAS (Computer-Assisted Qualitative Data Analysis), and authored the book Putting Pen to Paper: Academic Writing . Contact: arifbakla@aybu.edu.tr | Office: Esenboğa Kampüsü A133.

• Cardiovascular Radiology
• Medical Imaging
• Artificial Intelligence in Medicine
• +۳ مورد دیگر

Deniz Can Alis serves as an Associate Professor of Radiology at the School of Medicine, Acibadem Mehmet Ali Aydinlar University, where he has been employed since April 2020 (promoted from Assistant Professor in 2021). His clinical and academic focus centers on advanced cardiovascular imaging techniques including cardiac magnetic resonance imaging and coronary computed tomography within the Acibadem Healthcare group. His educational background includes: Graduation from Cerrahpasa Medical Faculty in 2013 Completion of specialist training with a doctorate in 2018 Government service fulfillment at Mehmet Akif Ersoy Cardiovascular Research Hospital Dr. Alis's research bridges cardiovascular radiology with artificial intelligence, evidenced by over 50 international publications specializing in machine learning applications for medical diagnostics. His work spans medical informatics, computer science AI, and advanced radiological imaging, with significant contributions to cardiac MRI and CT methodologies. The high citation metrics (270 H-index in Web of Science) reflect his impact in translating AI innovations into clinical radiology practice. As co-founder and CEO of Hevi AI, Dr. Alis leads a deep learning startup developing medical imaging software solutions. While specific grant details aren't provided, this entrepreneurial venture demonstrates his commitment to commercializing academic research. His leadership extends to enhancing healthcare standards across the Acibadem network through AI-integrated diagnostic protocols. Within institutional frameworks, Dr. Alis contributes to nine United Nations Sustainable Development Goals through his imaging research. His professional activities integrate clinical service at Maslak Acibadem Hospital with academic mentorship and technological innovation through Hevi AI's development team.

• Architecture
• Urban Planning
• Historical Preservation
• +۵ مورد دیگر

Prof. Dr. Sennur Akansel is a prominent Turkish academic at Trakya University , where she has served in the Department of Architecture since 1985. Her career spans roles from Research Assistant to Professor (2020), with significant administrative contributions as Vice Dean of the Faculty of Architecture (2013-2021) and ongoing Department Head since 2011. She leads the Edirne Research and Application Center and contributes to UNESCO-related heritage governance. B.Sc. and M.Sc. in Architecture (1985, 1991) and Ph.D. (2000) from Trakya University Her research interests center on urban transformation , historical preservation , sustainable design , and spatial analysis of cultural heritage. She integrates Space Syntax with computational methods like Particle Swarm Optimization to address contemporary urban challenges. Recent work explores urban forests , post-pandemic housing , and digital heritage exhibitions . Her scholarly output includes over 15 recent publications analyzing public space design , historical fabric , and socio-spatial dynamics in the Balkans and Turkey. She supervises 15+ graduate students, focusing on topics ranging from adaptive reuse to ecological planning . Despite active roles, no scientific awards are explicitly mentioned in the provided text.

• Psychiatry
• Neuroscience
• EEG Analysis
• +۵ مورد دیگر

Prof. Dr. K. Nevzat Tarhan is a leading psychiatrist and neuroscience researcher affiliated with Uskudar University. With over four decades of academic experience, he has pioneered interdisciplinary studies integrating EEG, deep learning, and pharmacogenetics in psychiatric diagnosis and treatment. His work spans clinical neuroscience, brain stimulation techniques, and digital mental health innovations. Academic Leadership: Professor at Uskudar University Key Contributions: Developer of multiple psychometric scales (Uskudar Immaturity Scale, Self-Consciousness Scale, etc.) Research interests focus on neuromodulation , EEG-based diagnostics , depression subtypes , and digital behavioral patterns . His recent studies employ artificial intelligence to differentiate treatment-resistant depression with 98% accuracy, and explore social media's psychological impact through novel scale development. Publications (2025-2018) reveal a trajectory from traditional psychiatric biomarkers (hormonal responses, enzymatic pathways) to AI-driven neurodiagnostics (deep learning, hybrid neural networks). Key subfields include brain connectivity analysis , neuroimaging , machine learning in mental health , pharmacogenetic testing , digital addiction , and spiritual neuroscience .

• Biostatistics
• Health Management
• Applied Statistics
• +۳ مورد دیگر

Tuğba ALTINTAŞ is an Associate Professor in the Department of Health Management at Uskudar University, where she has been since 2016. She serves as Director of the VERİMER Research Center since 2019 and teaches courses such as Biostatistics, Applied Statistics, and Research Methods in Health Sciences. Her academic career spans institutions including Istanbul University and Ondokuz Mayıs University. Education : Licence in Business Administration (Istanbul University, 2002), Degree in Applied Statistics (Ondokuz Mayıs University, 2006), Doctorate in Numerical Methods (Istanbul University, 2012). Research Interests revolve around statistical applications in healthcare, public health, and health management. Her work explores air pollution's health impacts, pandemic-induced lifestyle changes, functional analysis in healthcare institutions, and Monte Carlo simulation applications. She also investigates comparative studies using multidimensional scaling and examines healthcare utilization patterns. Publications include interdisciplinary studies on childhood asthma and environmental factors (2024), preterm infant developmental support (2023), pandemic nutrition habits (2021), and OECD country comparisons (2022). Her recent projects address distance education perceptions (2025) and mass shootings' public health implications (2025). Labs & Teams : Leads the VERİMER Research Center, focusing on data-driven health management solutions since 2019.

• Remote Sensing
• Image Processing
• Computer Vision
• +۳ مورد دیگر

Uğur Murat Leloğlu is a Professor in the Department of Electrical and Electronics Engineering. His research spans remote sensing, image processing, and computer vision, with a focus on hyperspectral imagery analysis and forensic imaging applications. He has collaborated extensively with international researchers across multiple disciplines.