جستجوی استاد راهنمای دانشگاهی

Hacer Atar Yıldızمشاهده پروفایل

دانشیار

• Analogue Circuit Design
• Integrated Circuit Design
• Analog Filters
• +۴ مورد دیگر

Hacer Atar Yıldız is an Associate Professor at the Department of Electronics and Communication Engineering, Faculty of Electrical and Electronics Engineering at Istanbul Technical University (ITU). She holds a B.Sc. (1997) and M.Sc. (2000) in Electronics Engineering from Karadeniz Technical University, and a Ph.D. (2015) in Electronics Engineering from ITU. Her research focuses on analog circuit design, integrated circuits, analog filters, memristor structures, and graphene sensors. Education: Ph.D. in Electronics Engineering (2015), Istanbul Technical University M.Sc. in Electronics Engineering (2000), Karadeniz Technical University B.Sc. in Electronic Communication Engineering (1997), Karadeniz Technical University German Language Education (2001), Munich Technical University Research Interests: Her work emphasizes innovative analog circuit solutions, including memristor-based systems, neural networks, and sensor technologies. Notable contributions include memcapacitor/meminductor emulator circuits and cryogenic bandgap designs. She also explores applications in plant identification using copula models and thermal compensation for microbolometers. Professional Experience: Associate Professor at ITU (2022–present) Researcher at Virginia University (2018) Expert Engineer at Türk Telekom (2003–2009) Intern at Marco GmbH (Munich, 2001–2002) Teaching: She has taught courses such as Introduction to Electronics, Electronic Design, and Analog Circuits at both undergraduate and graduate levels. Recent courses include EHB 222E and EHB 335. Languages & Hobbies: Fluent in English and German. Enjoys swimming, long-distance running, Turkish folk music, and outdoor activities.

• Artificial Intelligence
• Medical Imaging
• Deep Learning
• +۳ مورد دیگر

Caner Özer is a Researcher affiliated with Istanbul Technical University's Department of Artificial Intelligence and Data Engineering and the University of Twente's MIA group. He holds a PhD in Computer Engineering from Istanbul Technical University (2020), an MSc in Telecommunication Engineering (2017-2020), and a BSc in Electronics and Communications Engineering (2013-2017). His research focuses on medical imaging AI, explainable artificial intelligence (XAI), deep learning applications in healthcare, and computer vision techniques for artifact detection in medical imaging. He has conducted visiting research at the University of Twente (2024) and serves on academic committees at Istanbul Technical University. Research interests include developing explainable models for mammogram analysis, enhancing medical image quality assessment via transformers and neural networks, and addressing challenges in cardiovascular MRI segmentation through motion artifact detection. His work bridges deep learning theory with practical clinical applications, emphasizing transparency and accuracy in AI-driven medical diagnostics. Notable contributions include cross-domain artifact correction for cardiac MRI, joint CNN-RNN models for intracranial hemorrhage detection, and XAI methods for chest X-ray analysis. His research has been published in top-tier venues with a focus on medical imaging and deep learning advancements.

• International Trade
• Economic Policy Analysis
• Digital Transformation
• +۷ مورد دیگر

Elif Nuroğlu is a Professor at the Department of Economics, Faculty of Economics and Administrative Sciences at Türk-Alman Üniversitesi. She holds a PhD in Economics from Universität Wien (2010) and multiple master's degrees in Business Administration from Wirtschaftsuniversität Wien. Her academic career includes roles like Dozent (2014) and Assistenzprofessor at Türk-Alman and international universities. Her research focuses on international trade dynamics, digital transformation in industry, EU-Turkey-Germany geopolitical economics, climate change impacts, and econometric modeling. She has authored/co-authored over 30 peer-reviewed articles in journals like Insight Turkey , Empirical Economics , and Zbornik radova Ekonomskog fakulteta u Rijeci . Research Highlights: Analysis of Industry 4.0 implications for Turkish exports Gravity model applications in trade flow estimation Comparative studies on Turkey-Almanya digitalization strategies Post-pandemic capitalism evolution studies Balkans geopolitical economic rivalry analysis Environmental Kuznets curve validations for developing nations Her work intersects economic theory with applied policy analysis, particularly focusing on Turkey's position in global and regional markets. Current research trends emphasize digital transformation's role in trade competitiveness and green economic transitions under EU frameworks.

Merve Acer Kalafatمشاهده پروفایل

دانشیار

• Mechanical Engineering
• Robotics
• Control Systems
• +۴ مورد دیگر

Merve Acer Kalafat is an Associate Professor in the Department of Mechanical Engineering at Istanbul Technical University. She specializes in robotics, control systems, compliant mechanisms, and additive manufacturing, with a focus on sensor integration and advanced material applications. Her research involves origami-inspired mechanisms, tactile sensors, and flexible electronics. Her work spans interdisciplinary areas such as piezoelectric actuators, parallel manipulators, and neural network-based performance analysis. Collaborations include studies on textile-based strain sensors and inkjet-printed flexible electronics. She has supervised 3 ongoing theses and contributed to over 20 publications since 2011. Key research interests include improving manufacturing processes (e.g., FDM parameters), developing foldable robotics systems, and advancing tactile sensing technologies for soft robotics applications.

Sueda SAYLANمشاهده پروفایل

استادیار

• Memristive Devices
• Photovoltaics
• Light-Matter Interactions
• +۳ مورد دیگر

Dr. Sueda Saylan is an Assistant Professor at the Faculty of Engineering, Özyeğin University, since 2024. Her academic journey includes a Ph.D. in Interdisciplinary Engineering (2016) from Masdar Institute (now Khalifa University), postdoctoral research at Khalifa University (2016-2022), and an MSCA Postdoctoral Fellowship at Bilkent University (2022-2024). She has also held visiting researcher positions at MIT (2014) and the University of Tokyo (2016). Education Doctorate: Interdisciplinary Engineering, Masdar Institute of Science and Technology (2016) Master's: Microelectronic Manufacturing Engineering, Rochester Institute of Technology (2004) Bachelor's: Mechanical Engineering, Middle East Technical University (2002) Dr. Saylan's research focuses on memristive devices , photovoltaics , and light-matter interactions at micro/nanoscale . Her work bridges materials science and electronic engineering, with recent publications on memristor-based sensors, spectral filtering in silicon, and machine learning integration for biomedical diagnostics. Key trends from her 15 most recent articles (2013-2025) include: Advancing memristor technology for radiation sensing and vacuum monitoring Optimizing photovoltaic efficiency through light management and antireflection coatings Developing compact, low-power diagnostic devices for pathogen detection Exploring nanoscale electrode materials and switching mechanisms Applying Fourier transforms and interferometry in optical systems Scientific Awards Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowship (2022-2024) Dr. Saylan has received research support from prestigious programs and has contributed to interdisciplinary projects involving semiconductor physics, optical engineering, and biomedical diagnostics. Her collaborations span institutions like Khalifa University, MIT, and the University of Tokyo.

Seden Acun Özgünlerمشاهده پروفایل

استاد

• Durability
• Damage
• Maintenance and Repair in Architectural Structures
• +۵ مورد دیگر

Prof. Dr. Seden Acun Özgünler is a faculty member at the Faculty of Architecture, Istanbul Technical University , where she has served as Professor since 2021. Her research spans material science in architecture, focusing on durability, maintenance, and sustainable building technologies . She has supervised numerous theses and led projects on natural binders, thermal insulation, and historical preservation . Education: PhD in Building Science (Dr), Istanbul Technical University. Academic Roles: Department Head (2023), Associate Professor (2013-2021), Research Assistant (1999-2003). Research Trends include: Material Innovation: Mycelium-based composites, natural hydraulic binders, and geopolymer concrete. Sustainability: LCIA models, waste material utilization, and energy-efficient designs. Historical Preservation: Volcanic tuff conservation, grouting methods for masonry repair, and adaptive reuse of structures. Scientific Awards: 2nd Young Türkiye Summit Academy Award (2017) for Mimar Sinan Cultural Wealth Preservation. Publication-based Academic Performance Awards (2022, 2025) from Istanbul Technical University. Key Projects involve biocomposite materials, natural cement reproduction, and chromic glass applications in facades. Her work bridges traditional building techniques with modern sustainability through experimental and computational approaches.

Sevil Yazıcıمشاهده پروفایل

دانشیار

• Information Technologies in Architecture and Design
• Architectural Design
• Materials and Technology in Architecture
• +۶ مورد دیگر

Sevil Yazıcı is an Associate Professor at the Department of Architecture , Istanbul Technical University , with a focus on computational design, material efficiency, and structural performance in architecture. She previously served as a Doctor Lecturer at Ozyegin University (2013–2020). Educational background: PhD in Building Sciences (2009–2013), Istanbul Technical University Degree in Architecture from Architectural Association School of Architecture (2004–2006) Research interests span computational design, bio-inspired material organization, and sustainable construction. Her recent work explores VR-driven spatial performance analysis, demolition waste reuse, and microstructure-informed shell topologies. Selected trends in publications include: Integrating environmental/structural data in early design Material-efficient generative models Biomimetic computational analysis AI-assisted architectural creativity Scientific awards highlight her achievements: 2024 Best Article Award (Frontiers of Architectural Research) 2018 Gold Medal (Istanbul International Invention Fair) 2016 UK Graduate Professional Achievement Award 2014 ITU Most Successful Doctoral Thesis Award Advising includes theses on reversible structures, sustainable façades, AI-driven design, and material-efficient fabrication. She served on the Executive Board of the Informatics in Architectural Design Graduate Program (2021–present) and was Deputy Head of Department (2022).

Feridun Boyluمشاهده پروفایل

استاد

• Mineral Processing
• Coal Technology
• Industrial Raw Materials
• +۳ مورد دیگر

Prof. Feridun Boylu is a Professor in the Department of Mineral Processing Engineering at Istanbul Technical University (ITU), affiliated with the Faculty of Mines. His research focuses on mineral processing techniques, coal technology, and industrial raw materials. He holds a PhD in Ore Coal Preparation and Evaluation from ITU and has extensive experience in academic leadership roles, including Head of Department and Advisor to the Rector at ITU. His work spans over 30 years, with contributions to coal flotation, dense medium cyclones, and bentonite characterization. Prof. Boylu has supervised numerous theses and leads projects funded by national and international grants, including EU initiatives like FineFuture. His research emphasizes sustainable mining practices and advanced separation technologies. Education: PhD (Ore Coal Preparation and Evaluation, ITU, 2004), MSc (Ore Coal Preparation, ITU, 1998), BSc (Mining Engineering, ITU, 1993) Key Roles: Professor at ITU, Former Head of Department (2021–2021), Erasmus Coordinator (2020–present), and International Student Coordinator (2021–present) Research Interests: Chemical-biological recovery techniques, coal water slurries, flotation optimization, and mineral beneficiation. His work addresses challenges in fine particle flotation, coal preparation, and sustainable utilization of industrial raw materials. Recent Projects: Includes the EU-funded FineFuture project (2019–2023) and studies on three-product dense medium cyclones and machine learning for mill liner wear prediction. His research bridges theoretical modeling and industrial applications in mineral processing.

• Cybersecurity
• Privacy Engineering
• Internet of Things (IoT)
• +۳ مورد دیگر

Dr. Selçuk Uluağaç is an Eminent Scholar Chaired Associate Professor at Florida International University (FIU), leading the Cyber-Physical Systems Security Lab. He holds a courtesy appointment in the Knight Foundation School of Computing and Information Science. Previously, he worked at Georgia Tech and Symantec, with degrees from Georgia Tech (PhD) and Carnegie Mellon University (MS). His research focuses on cybersecurity, privacy, and IoT/CPS systems, funded by NSF, DOE, and industry partners exceeding $18M. He has authored hundreds of publications, secured 17 patents (one licensed), and serves on editorial boards of IEEE journals. Education: PhD in Electrical and Computer Engineering, Georgia Institute of Technology (200X); MS in Computer Science, Carnegie Mellon University (200X). Research Interests: Developing security frameworks for IoT devices, privacy-preserving techniques, machine learning for cybersecurity, and CPS threat mitigation. Notable projects include sensory channel threat analysis, IoT fingerprinting, encrypted traffic privacy leakage detection, wearable-based authentication, and cryptomining activity detection. Awards: Recognized with prestigious NSF CAREER Award and multiple institutional awards for research and teaching excellence. Active in professional service, including conference chairs (ACM WiSec 2019, IEEE CNS 2022 TPC Chair) and NIST panels. Grants & Funding: Over $18M from NSF, DoE, US Air Force, Google, Microsoft, and Cisco. Entrepreneurial focus with patents commercialized. Labs & Teams: Directs the Cyber-Physical Systems Security Lab, collaborating on applied security solutions. Media-featured research highlights societal cybersecurity impacts.

Engin Erzinمشاهده پروفایل

استاد

• Artificial Intelligence
• Multimedia Systems
• Computer Vision
• +۶ مورد دیگر

Engin Erzin is a Professor at Koç University's College of Engineering, leading the KUIS AI Lab and Multimedia, Vision and Graphics Lab . His research focuses on AI-driven human-centric systems, affective computing, and multimodal interaction analysis. He has contributed extensively to robotics, speech processing, and human-robot interaction through over 70 peer-reviewed publications since 2008. Research interests include: Affective computing and emotion recognition from speech/gestures Human-robot interaction and socially engaging agents Speech-driven animation and gesture synthesis Multimodal data fusion for interaction analysis Deep learning applications in robotics and biomedical engineering Recent work emphasizes: Developing adaptive pHRI controllers for manufacturing tasks Creating engagement measurement frameworks for human-machine interfaces Advancing Turkish speech recognition through self-supervised learning Designing multimodal databases for interaction studies Labs: KUIS AI Lab : Focuses on AI applications in robotics and human-computer interaction Multimedia Lab : Specializes in vision, graphics, and audiovisual analysis

Burhaneddin İzgiمشاهده پروفایل

دانشیار

• Game Theory
• Stochastic Differential Equations
• Numerical Analysis
• +۳ مورد دیگر

Burhaneddin İzgi serves as an Associate Professor in the Department of Mathematics Engineering at Istanbul Technical University, where he maintains an active research profile with projects extending through 2025. His work bridges theoretical mathematics with computational applications, particularly in game-theoretic problem solving. Research interests center on Game Theory and Stochastic Differential Equations, with specialized focus on matrix norm-based solution methods for zero-sum, fuzzy, and stochastic matrix games. Recent work integrates Artificial Intelligence techniques to address large-scale game complexity, reflecting interdisciplinary innovation across Numerical Analysis and Fuzzy Mathematics. Article trends (2022-2025) reveal consistent advancement of matrix norm methodologies across diverse game types, increasingly incorporating machine learning for computational efficiency. Publications demonstrate strong theoretical grounding in Mathematics while addressing practical applications in finance (e.g., IPO modeling) and decision systems. Scientific recognition includes: 2210 - Yurt İçi Yüksek Lisans Burs Programı (2008) 2211 - Yurt İçi Doktora Burs Programı (2010) Matematik Bölüm Birinciliği (2008) Üniversite İkinciliği ödülü (2008) Research funding includes TUBITAK-supported projects such as 'Stokastik Oyunlar İçin Matris Norm Tabanli Yeni Çözüm Yöntemleri Ve Yapay Zeka Uygulamalari' (2021-2023) and current grants developing chaos theory approaches for stochastic matrix games (2024-2025), demonstrating sustained external validation of his research program.

• Machine Learning in Energy Systems
• Renewable Energy
• Energy Forecasting
• +۱۲ مورد دیگر

Prof. Erdem Günay is a full Professor in the Department of Energy Systems Engineering at Istanbul Bilgi University, where he has been serving since 2013, rising through the academic ranks. He holds a Ph.D. in Chemical Engineering from Bogazici University, where he also completed his B.S. and M.S. degrees, and conducted postdoctoral research. His academic journey reflects a deep commitment to energy systems and sustainable technologies. B.S. in Chemical Engineering, Bogazici University, 2002 M.S. in Chemical Engineering, Bogazici University, 2005 Ph.D. in Chemical Engineering, Bogazici University, 2012 Postdoctoral Research Associate, Catalyst Design and Reaction Engineering Laboratory, Bogazici University, 2013 Prof. Günay’s research centers on the integration of machine learning and artificial intelligence with energy systems engineering. His work spans renewable energy (solar, wind, bioenergy), hydrogen production, CO₂ utilization, fuel cells, and energy demand forecasting. He employs advanced data mining, neural networks, and explainable AI to model, simulate, and optimize complex energy processes, contributing significantly to sustainable energy solutions. His interdisciplinary approach bridges chemical engineering, environmental science, and computational modeling. His recent publications demonstrate a strong trend in applying machine learning to sustainable bioenergy, catalysis, and environmental management. From optimizing biochar production to forecasting global temperature anomalies and enhancing microbial fuel cells, his research leverages AI to address pressing energy and environmental challenges. The articles reflect a consistent focus on sustainability, efficiency, and innovation in energy technologies, with a growing emphasis on explainability and real-world applicability of AI models. Prof. Günay has not been mentioned to have received any specific scientific awards, but his extensive publication record in high-impact journals indicates strong recognition in his field. He has advised several Master’s students, including Muaaz Jnani, Duru Akalın, and co-advised Ahmet Coşgun and Meltem Baysal. He actively supervises senior design projects in areas such as biogas production, biodiesel from shea butter, pyrolysis, and solar desalination, fostering hands-on learning and innovation among students. While no external grants are explicitly mentioned, his research output suggests active involvement in funded projects. His teaching portfolio includes core courses such as Thermodynamics, Fluid Mechanics, Fuels and Combustion, and Energy Systems Modeling and Simulation. Although specific lab or research team names are not provided, his frequent collaborations with researchers like Ramazan Yıldırım, N. Alper Tapan, and Ahmet Coşgun suggest active participation in a research group focused on AI-driven energy and catalysis research at Istanbul Bilgi University.

İsmail Arıمشاهده پروفایل

استادیار

• Cloud Computing
• Big Data
• Machine Learning
• +۱۲ مورد دیگر

Dr. İsmail Arı is an Assistant Professor in the Computer Science department at Özyeğin University . He holds a PhD from the University of California, Santa Cruz (2004), MS from University of Maryland (2000), and BS in Electrical & Electronics Engineering from Boğaziçi University (1998).

Selçuk Karabatıمشاهده پروفایل

استاد

• Retail Operations Management
• Sustainable Operations Management
• Supply Chain Management
• +۳ مورد دیگر

Selçuk Karabatı is a Professor of Operations Management at the College of Administrative Sciences and Economics, Koç University (Turkey). His research spans retail operations, sustainable supply chains, and production systems optimization. He holds a PhD from the University of Texas at Austin and has previously taught graduate courses in Service Operations Management , Operations Strategy , and Sustainable Operations Management at Koç University. Education : PhD (University of Texas at Austin), MS (University of Southern California), BS (Boğaziçi University) Editorial Roles : Senior/Associate Editor at Production and Operations Management and IIE Transactions His research focuses on Supply Chain Management , Retail Operations , and Sustainable Operations , with applications in inventory control, pricing strategies, and production planning. Recent and historical publications reveal expertise in optimization frameworks , dynamic pricing , portfolio rebalancing , and retail analytics . While no explicit scientific awards are listed in the provided text, his work has consistently addressed challenges in inventory substitution, auction mechanisms, and logistics coordination.

• Educational Measurement and Evaluation
• Psychometrics
• Test Development
• +۷ مورد دیگر

Prof. Dr. Nuri Dogan is a Professor at Hacettepe University, Faculty of Education, Department of Educational Sciences, where he serves as Head of the Department of Educational Sciences since 2021 and previously as Head of the Department of Measurement and Evaluation in Education since 2019. He earned his BA (1996), MA (1999), and PhD (2002) from Hacettepe University's Department of Educational Measurement and Evaluation. After working as a research assistant (1998-2002) and lecturer (2003-2010), he became an Associate Professor in 2011 and a full Professor in 2016. He conducted post-doctoral research at University of Massachusetts-AMHERST under Ronald K. Hambleton in 2014-2015 with a TÜBİTAK scholarship. His research focuses on educational measurement and evaluation, psychometrics, test development, classical test theory, item response theory, and computerized adaptive testing. He teaches courses on measurement and evaluation in education, test development, scaling techniques, classical test theory, psychological foundations of measurement, research techniques, computerized measurement applications, and various other topics related to educational assessment. His extensive body of work demonstrates strong expertise in educational assessment methodologies, with particular emphasis on the technical aspects of measurement and evaluation. Dogan's publication record shows a clear progression from foundational work in classical test theory to more sophisticated applications in computerized adaptive testing and multistage testing. His recent work (2023-2024) reveals a strong focus on practical applications of measurement theory in large-scale assessments like PISA, with increasing integration of data mining and machine learning approaches. His research spans both theoretical psychometrics and practical applications across various educational contexts. Scientific Awards: TÜBİTAK scientist support program (BİDEP) scholarship for post-doctoral research at University of Massachusetts-AMHERST Prof. Dogan has supervised 55 graduate students (28 master's and 27 PhD candidates) whose research spans educational measurement, psychometrics, test development, and various applications of assessment methodology. His research projects include significant work on computerized adaptive testing, multistage testing, measurement invariance, and large-scale international assessments like PISA. He has received multiple research grants from TÜBİTAK and other national and international funding bodies. Prof. Dogan also chairs the Board of Directors of the Association for Measurement and Evaluation in Education and Psychology (EPODDER) and has been actively involved in numerous national and international research projects related to educational assessment and measurement.