جست‌وجوی استاد و پژوهشگر

• Materials Physics
• Nanotechnology
• Computational Modeling
• +۷ مورد دیگر

Nadire Nayir is an Associate Professor in the Department of Physics Engineering at Istanbul Technical University. She is a computational materials scientist specializing in atomic-scale simulations of two-dimensional materials and nanostructures. Her research focuses on developing and applying computational methods to understand material properties and behavior at the atomic level. Her educational background includes: PhD in Physics from Middle East Technical University (2011-2018) License in Physics Teaching from Selcuk University (2005-2009) License in Secondary Science and Mathematics Education from Atatürk University Nadire Nayir's research interests span multiple areas of computational materials science, with a particular focus on two-dimensional materials and nanostructures. She actively develops and applies atomic-scale computer simulations, ranging from first-principles density functional theory to reactive force fields like ReaxFF. Her work often bridges theory, computation, and experimental validation to study newly discovered materials with superior properties. She has made significant contributions to understanding the growth mechanisms, structural properties, and applications of 2D materials including graphene, transition metal dichalcogenides (like WSe2 and MoS2), and other low-dimensional systems. Her publication record shows a strong focus on computational modeling of two-dimensional materials, with particular emphasis on ReaxFF molecular dynamics simulations. Over recent years, her research has evolved from fundamental studies of material properties to more applied research on energy storage applications and electronic device development using 2D materials. The interdisciplinary nature of her work is evident in the range of journals where she publishes, spanning materials science, physics, chemistry, and engineering disciplines. Dr. Nayir has received recognition for her work, including the TUBITAK 2214 award in 2017. Her research has been cited over 700 times according to Scopus metrics, with an h-index of 15. Throughout her career, Dr. Nayir has maintained strong collaborative relationships with researchers at The Pennsylvania State University, where she has held positions as a Postdoctoral Researcher (2018-2021), Visiting Scholar (2017-2018), and currently as a Research Affiliate. These collaborations have been instrumental in developing the ReaxFF reactive force field and applying it to various materials systems. Her laboratory work focuses on computational materials science, particularly simulations of two-dimensional materials and their interfaces. She works with a team that develops and applies computational tools to predict material behavior, with applications in electronics, energy storage, and nanotechnology.

• Environmental Systems and Modeling
• Water Resources Management
• Climate Change
• +۳ مورد دیگر

Ahmet ADİLLER , Assistant Professor at Uskudar University, holds a Ph.D. in Environmental Engineering (2022) and has academic degrees from Yildiz Technical University. He contributes to environmental systems modeling, watershed management, and climate change research. B.Sc., M.Sc., and Ph.D. in Environmental Engineering, Yildiz Technical University His research interests focus on water quality , pollution assessment , and decision support systems for sustainable watershed management. Recent work includes hydrological modeling in Izmit Bay and pollution source analysis in the Ergene River Basin. He supervises graduate theses, including Ali Erdem ÇAĞLAR's 2024 study on SQL injection vulnerabilities. Administrative roles include Deputy Head of Research Center (ÜSUZEM, 2020-present) and Head of Environmental Health Program (2023-present).

Sinan KALKANمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Imbalance Problems
• +۲ مورد دیگر

Sinan KALKAN is a full professor at the Department of Computer Engineering , Middle East Technical University (METU) , Ankara, Turkey. He actively contributes to interdisciplinary research at the intersection of Computer Vision, Machine Learning , and Robotics , with a focus on imbalanced learning, bias/fairness, and detection/segmentation tasks. As a member of multiple research centers ( METU Robotics and AI Center , METU Image Processing Lab , COVIG Lab (Denmark) , and BCCN Center (Germany) ), he drives collaborative innovation across Turkey, Denmark, and Germany. Research Interests include: Computer Vision (Object Detection, Segmentation, Recognition) Machine/Deep Learning (Imbalance Problems, Bias and Fairness) Robotics (Human-Robot Interaction, Context Modeling) Recent Article Trends show expertise in: Unified loss functions for detection/classification Uncertainty-aware neural architectures Fairness in affective computing Imbalance mitigation strategies Energy modeling under climate change Transformer-based time-series forecasting Scientific Awards : Best Paper Award, IEEE Transactions on Cognitive and Developmental Systems (2016) Labs and Teams : METU Robotics and AI Center METU Image Analysis Center METU Image Processing Laboratory METU Balance METU Energy Cambridge University AFAR

Yusuf Sahillioğluمشاهده پروفایل

استاد

• Computer Graphics
• 3D Shape Processing
• Geometric Algorithms
• +۳ مورد دیگر

Professor Yusuf Sahillioğlu is a faculty member in the Computer Engineering Department at Middle East Technical University (METU), Faculty of Engineering, specializing in computer graphics and geometric processing. His academic journey includes a BS from Bilkent University, MS from University of Florida, and PhD from Koç University, followed by postdoctoral work at Koç University and University of Pennsylvania. His research focuses on 3D shape correspondence , deformation algorithms , deep learning for 3D data , and geometry processing . Key contributions include novel methods for isometric shape matching, topologically-stable correspondence, and real-time secondary animation. His recent work integrates deep learning with traditional geometric approaches for mesh segmentation, point cloud classification, and 3D scene extrapolation. His 15 most recent publications (2021-2025) reveal a strong trend toward real-time geometric algorithms (e.g., spring-decomposed skinning), kernel computation for mesh processing, and deep generative models for 2D-to-3D conversion. The research consistently bridges theoretical geometry with practical applications in animation, reconstruction, and medical imaging. Award highlights include: METU Academic Performance Award (2018) METU Young Scientist Awards (2015-2017) TÜBİTAK 1001 Grants (2016, 2020, 2024) for 3D content analysis, shape matching, and reconstruction TÜBİTAK 3501 Career Grant (2015) for virtual medicine applications He teaches core courses including Data Structures, Operating Systems, Computer Graphics, and Advanced Digital Geometry Processing. His lab focuses on geometric algorithms with applications in medical imaging, animation, and 3D printing, maintaining strong industry and international collaborations through projects like TÜBİTAK-funded initiatives.

• Digital Design
• Embedded Systems
• Circuits and Systems Theory
• +۶ مورد دیگر

Professor Ece Olcay Güneş is affiliated with the Faculty of Electrical and Electronics Engineering at Istanbul Technical University , where she holds the rank of Professor in the Department of Electronics and Communication Engineering. Her career spans over two decades, including administrative roles such as Deputy Head of Department (2023–2024, 2023–2026) and Graduate Program Coordinator (2013–2021). Research Focus : Digital Design, Embedded Systems, Stochastic Computing, and Artificial Intelligence. Key Contributions : Hardware-software co-optimization, resolver error compensation, post-quantum cryptography acceleration, and stochastic vision machine simulation. Awards : GLSVLSI'23 Best Paper Award (2023). Grants : BAP and TUBITAK-funded projects in approximate computing, genetic risk analysis, and RF transmitter design. Contact : gunesec@itu.edu.tr

• Information Security
• Cryptology
• Embedded Systems
• +۵ مورد دیگر

Prof. Dr. Sıddıka Berna Örs Yalçın is a Professor at Istanbul Technical University , Faculty of Electrical and Electronics Engineering, Department of Electronics and Communication Engineering since 2020. She holds a PhD from Katholieke Universiteit Leuven (1999) and has maintained continuous academic engagement in cryptology, embedded systems, and hardware security. Education: PhD in Electrical Engineering, Katholieke Universiteit Leuven (1999) Master's in Electronics and Communications Engineering, Istanbul Technical University (1995) Licence in Electronics and Communication Engineering, Istanbul Technical University (1995) Her research focuses on post-quantum cryptography , side-channel attack mitigation , and hardware implementation for security systems. Recent work includes FPGA-based AI accelerators, IoT power consumption modeling, and quantum-resistant cryptographic algorithms. Current projects center on RISC-V processor optimization, embedded security, and hardware implementations for 5G communications. Her Scopus h-index is 17 with over 1353 citations, reflecting her impact in computer hardware and cryptographic engineering domains. Notable Research Outputs: Quantum tent map-based S-box designs for image encryption (2024) Post-quantum modular multiplication algorithms (2024) RISC-V implementation of CRYSTALS-Kyber (2023) IOT power consumption estimation frameworks (2024)

• Signal Processing
• Information and Coding Theory
• Communication
• +۶ مورد دیگر

Assoc. Prof. Dr. Ferkan Yılmaz is an Associate Professor at Istanbul Technical University's Faculty of Electrical and Electronics Engineering, Department of Electronics and Communication Engineering. With a career spanning academia, telecommunications R&D, and forensic expertise, his work focuses on wireless communications, signal processing, and machine learning applications in network optimization. Education Doctorate: Electronic Engineering, Gebze Technical University (2002) MSc: Electronics and Communications Engineering, Istanbul Technical University (2000) BSc: Electronics and Communication Engineering, Yildiz Technical University (1993) His research explores advanced wireless technologies including 5G/6G networks, federated learning over fading channels, MIMO systems with reconfigurable intelligent surfaces, and LoRa applications in LEO satellite communications. Recent projects include a Java-powered 5G/6G simulation platform and RSSI-based indoor positioning systems. Key trends in his publications emphasize fading channel modeling , machine learning for communication systems , and next-generation wireless protocols . His work bridges theoretical analysis with practical implementations in telecommunications. Scientific Recognition Bronze Medal, Istanbul International Invention Fair (ISIF'21) for 'Positioning System' Patent Yılmaz holds active IEEE and IEEE Communications Society memberships, and has contributed to institutional accreditation (MÜDEK), international cooperation programs, and forensic computer science. His collaborations span Vodafone, TÜBİTAK, and leading universities like KAUST and Texas A&M at Qatar.

Ahmet Can Ertenمشاهده پروفایل

استادیار

• Biomedical Engineering
• MEMS and Microsystem Technologies
• Optics
• +۱ مورد دیگر

Assistant Professor Ahmet Can Erten is affiliated with Istanbul Technical University's Department of Electronics and Communication Engineering. His research focuses on biomedical engineering, MEMS, microsystem technologies, optics, and photonics, with applications in microfluidic devices and capsule endoscopy. PhD - University of California MS - University of California, San Diego BS - University of California, San Diego Research interests include: Biomedical microdevices Magnetic actuation systems Microfluidic sensors Optofluidic components Viscosity measurement technologies 3D cell culture platforms Recent publications show trends in magnetic actuation for endoscopic devices, optical sensing in microfluidics, and computational approaches to fluid dynamics. His work spans electrochemical biosensors, microvalve control systems, and machine learning applications in healthcare diagnostics. Member of IEEE (2000-present) Member of Tau Beta Pi (2000-present) Member of Kappa Nu (2002-present) ACS Member (2011-present) He has advised 9 thesis students focusing on topics like: Micropillar waveguide viscosity sensors Magnetic actuator design FFT-based fluid analysis Polydimethylsiloxane characterization Microstructure movement detection Magnetically actuated cell sorters Current projects include a microfluidics-based refreshable Braille display and various TUBITAK/BAP-funded studies on biomedical microsystems.

• Electronics
• Communication
• Microwave Engineering
• +۵ مورد دیگر

Dr. İbrahim Çatalkaya is a Lecturer in the Department of Electronics and Communication Engineering at Istanbul Technical University's College of Engineering. His academic career spans over a decade at ITU, where he has contributed to research in microwave engineering, electromagnetic compatibility, and remote sensing. Education: PhD in Satellite Communications and Remote Sensing (2007) and BSc in Electronics and Communication Engineering (1992) from Istanbul Technical University, along with an MSc in Engineering Management (2003) from Marmara University. Research interests focus on microwave absorber design, antenna engineering, and electromagnetic wave scattering analysis. His work explores optimization techniques for absorber geometries, dielectric material properties, and periodic structures in anechoic chambers. Publications highlight advancements in wedge and pyramidal absorber geometries, wideband antenna design for UMTS applications, and computational methods like the Periodic Method of Moments. His collaborations with Dr. Pinar Sedef Kent demonstrate sustained research partnerships. Professional experience includes roles at private engineering firms (Soar Engineering, Digiturk, Ericsson) before joining ITU. He teaches courses in electrical circuits, data structures, and remote sensing at the undergraduate level.

• Control Theory and Applications
• Machine Learning
• Nonlinear Systems
• +۳ مورد دیگر

Prof. Dr. Gülay Öke Günel is a faculty member at Istanbul Technical University in the Department of Control and Automation Engineering . She has held positions including Professor (since 2023), Assistant Professor (2009–2023), and Deputy Head of Department (2010–2020). Previously, she worked at Imperial College London (2005–2009) and Boğaziçi University (1994–2005). PhD in Electrical and Electronics Engineering (Boğaziçi University, 1997) MS in Electrical and Electronics Engineering (Boğaziçi University, 1994) BS in Electrical and Electronics Engineering (Boğaziçi University, 1990) Her research focuses on control theory and applications , with expertise in machine learning, neural networks, and fuzzy logic applied to nonlinear systems. Recent work includes adaptive controllers using support vector regression and AI-driven control systems for robotics. From 2021 to 2024, her publications highlight trends in nonlinear control , deep learning , and soft computing techniques . Key projects include computational models for human-robot interaction and advanced antenna design. Best Research Assistant Award (Boğaziçi University, 2000) High School Graduation First Place Award (FMV Private Işık High School, 1990)

• 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.

Emre Dincelمشاهده پروفایل

مدرس

• Control Theory
• PID Control
• Robust Control
• +۴ مورد دیگر

Dr. Emre Dincel is a Lecturer at Istanbul Technical University, Department of Control and Automation Engineering. He holds a PhD in Control and Automation Engineering from Istanbul Technical University (2013), a Master’s degree (2011), and a Bachelor’s degree in Electrical Engineering (2007). His research focuses on control theory, particularly PID controller design, dominant pole placement, robust control, and discrete-time systems with applications in railway traction, biomedical engineering, and industrial automation. His work emphasizes analytical methods for pole assignment, stability mapping, and handling parametric uncertainties. Publications highlight collaborations with researchers like Mehmet Turan Söylemez and Ayşe Duman Mammadov. Despite no explicit awards listed, his Scopus h-index of 8 and 159 citations reflect significant scholarly impact. Current research explores decentralized control for multi-variable systems and biomedical simulations. Dr. Dincel’s email is dincele@itu.edu.tr , and he is affiliated with Istanbul Technical University’s Ayazaga Campus.

• Control Theory and Applications
• Artificial Intelligence
• Renewable Energy Systems
• +۵ مورد دیگر

Cem Recai Çırak is a Research Assistant at Istanbul Technical University's Faculty of Electrical and Electronics Engineering, Department of Control and Automation Engineering. With a PhD in Electrical and Electronics Engineering from Istanbul University-Cerrahpaşa (2019), his work spans control theory, artificial intelligence, renewable energy systems, and financial modeling. Education: PhD in Electrical and Electronics Engineering (2019), MSc in Production Management and Numerical Methods (2015), multiple BSc degrees (2008, 2010, 2014) Research focuses on: Photovoltaic systems and battery storage optimization AI-driven maximum power point tracking algorithms Academic performance prediction models for first-year students Smart grid and nanogrid cost optimization Recent publications highlight trends in renewable energy forecasting, student success analytics, and computational methods. He has been affiliated with IEEE since 2008 and works across interdisciplinary domains including energy systems, machine learning, and educational technology.

• Powder Technology
• Mechanical Engineering
• Materials Science
• +۳ مورد دیگر

Rukiye Tekin Unver is a full-time Lecturer at Karabuk University ’s Eskipazar Vocational School , specializing in the Department of Transportation Services Rail Systems Management . With a PhD in Mechanical Engineering (2019) and a Master’s in Business Administration (2015), she focuses on Powder Technology , Biodegradable Alloys , and Tribology . BSc: Industrial Engineering, Sakarya University (2012) Master’s: Business Administration, Karabuk University (2015) PhD: Mechanical Engineering, Karabuk University (2019) Her recent research explores wear behavior in nanocomposites, tribological properties of MgZn alloys, and machine learning applications for material degradation analysis. She has contributed to studies on Libman-Sacks endocarditis treatment and campus transportation optimization using the Analytic Hierarchy Process. She has served as a Researcher on projects like "Zn İlavesinin Biyobozunur Mg Üzerindeki Etkisinin İncelenmesi" (2024-2025) and holds certifications in animal testing and trainer education. Collaborations span institutions such as Istanbul University-Cerrahpasa and Bandirma Onyedi Eylul University.

• Reinforcement Learning
• Military Simulation Technologies
• Medical Signal Processing
• +۳ مورد دیگر

Hüseyin Oktay Altun is an Assistant Professor at Bogazici University, serving as a full-time faculty member. His research focuses on advanced topics such as smart virtual entity design via reinforcement learning, multimedia security with convex optimization, medical/military signal processing, and time series prediction for environmental and financial data. His work bridges theoretical computer science with practical applications in healthcare, defense, environmental science, and energy systems. Notable research interests include the development of autonomous systems for military simulations, AI-driven medical diagnostics (e.g., hip dislocation detection in infants and epilepsy diagnosis), and environmental modeling for pollution prediction. His contributions also extend to cybersecurity, particularly in watermarking and steganography, as well as renewable energy grid management. His publication trends highlight a strong emphasis on reinforcement learning (RL) for multi-agent systems and tactical simulations, alongside deep learning applications in medical imaging, environmental monitoring, and maritime security. His work often integrates interdisciplinary approaches, combining machine learning with domain-specific challenges in defense, healthcare, and energy sectors. While no formal awards or grants are mentioned in the provided text, his extensive list of publications reflects significant contributions to both theoretical and applied computer science. No information on academic advising or lab affiliations is available here, but his research collaborations likely span multiple departments at Bogazici University and international partners.