جستجوی استاد راهنمای دانشگاهی

Ayhan Günمشاهده پروفایل

دانشیار

• Control Systems
• Mathematical Modeling in Electrical Engineering
• Artificial Neural Networks
• +۱۲ مورد دیگر

Assoc. Prof. Dr. Ayhan Gün is an Associate Professor in the Department of Electrical and Electronics Engineering at Kütahya Dumlupınar University's Faculty of Engineering. With a career spanning over two decades, he has held various academic positions including Research Assistant, Assistant Professor, and currently Associate Professor since 2024. His extensive administrative experience includes serving as Head of the Control and Command Systems Department (2007-2021) and various leadership roles in university-industry collaboration initiatives. Dr. Gün completed his Bachelor's degree at Near East University (1991-1996), Master's at Dumlupınar University (1998-2001), and PhD at Eskişehir Osmangazi University (2001-2007). His research focuses on control systems, mathematical modeling, artificial neural networks, robotics, SCADA, PLC programming, electromechanical systems, nonlinear control, fuzzy logic, optimization techniques, automation, biomechanics, and mechatronics. His recent publications demonstrate a consistent research trajectory in control engineering, with particular emphasis on optimization algorithms applied to quadrotor control, inverted pendulum systems, and electrical motor design. His work bridges theoretical control concepts with practical implementations in robotics and power systems. A significant portion of his research involves applying swarm intelligence and evolutionary algorithms to solve complex control problems. Bilim, Sanayi ve Teknoloji Bakanlığı Kurumsal Kapasitenin Arttırılması (2016) BİLİM SANAYİ VE TEKNOLOJİ BAKANLIĞI Çift Beslemeli İndüksiyon Generatörü Tasarımı ve İmalatı (2016) Dr. Gün has supervised multiple graduate students and managed numerous research projects, including the current 'Robotic Arm Design and Implementation for Patients with Hemiparetic Arms' project. His external roles include serving as an expert witness for judicial institutions, project referee for TÜBİTAK, and publication reviewer for IEEE Transactions. He has also contributed to regional development through his work with Kütahya Governorship's Planning and Development Board.

• Artificial Intelligence
• Robotics
• Deep Learning
• +۵ مورد دیگر

Ozgur S. Oguz is an Assistant Professor at Bilkent University , Faculty of Computer Engineering, and the lead of the Learning for Intelligent Robotic Agents (LiRA) Lab . His research focuses on enhancing autonomous agents' capabilities in learning, reasoning, and planning, particularly for robotics applications. Education : PhD in Computer Science from TU Munich , studies at University of British Columbia (UBC) and Koç University , postdoctoral work at University of Stuttgart and Max Planck Institute for Intelligent Systems . His research explores algorithms for autonomous decision-making, with emphasis on deep learning , reinforcement learning , and robotics . Recent work includes diffusion-based reinforcement learning , hindsight experience prioritization , and hybrid manipulation planning , often addressing challenges in sequential task execution and tactile-based control. Key trends in his publications revolve around robotic manipulation , motion planning , and human-robot interaction . He has contributed to conferences like NeurIPS , ICRA , IROS , and journals such as IEEE TRO and Scientific Reports .

• Algorithms
• Computational Geometry
• Wireless Sensor Networks
• +۱ مورد دیگر

Professor Cem Evrendilek is a faculty member in the Department of Computer Engineering at Izmir University of Economics, Turkey, holding the rank of Professor with current active status. His institutional email is cem.evrendilek@ieu.edu.tr. His research spans algorithmic complexity and geometric computation, with primary focus areas including: Computational Geometry (specializing in orthogonal polygon covering problems) Wireless Sensor Network Localization (energy-efficient methods and trilateration) NP-hard Problem Analysis (proving complexity for geometric and network problems) Approximation Algorithms for combinatorial optimization Analysis of his 2008-2018 publications reveals consistent work on geometric covering problems and sensor network localization. Key trends include proving NP-completeness for orthogonal polygon covering variants, developing energy-efficient mobile beacon localization techniques, and analyzing trilateration with noisy measurements. His work frequently intersects computational geometry with practical wireless network applications, demonstrating strong theoretical foundations applied to real-world constraints. Collaborative patterns show frequent co-authorship with Hüseyin Akcan (on localization algorithms), Burkay Genç, and Brahim Hnich (on computational geometry problems).

• Number Theory
• Algebraic Geometry
• Cryptography
• +۳ مورد دیگر

Alp Bassa is a Professor of Mathematics at Boğaziçi University, affiliated with the Department of Mathematics. He holds a Ph.D. in Mathematics from Universität Duisburg-Essen (2007) and dual bachelor's degrees in Computer Engineering and Mathematics from Middle East Technical University (2004). His research focuses on Number Theory, Algebraic Geometry, and their applications in Cryptography and Finite Fields. Education: Ph.D. in Mathematics, Universität Duisburg-Essen, 2007 Bachelor of Science in Computer Engineering & Mathematics, Middle East Technical University, 2004 Research Interests: Professor Bassa investigates algebraic structures over finite fields, including Drinfeld modules, function fields, and their cryptographic applications. His work bridges Number Theory and Geometry, with contributions to coding theory and the construction of algebraic curves with optimal properties. Recent Projects: TÜBİTAK 2509: Curves over Finite Fields, Jacobian Varieties, and Abelian Varieties (2018–2020) BAP-10540: Curves over Finite Fields and Irreducible Polynomials (2015–2017) Teaching: Recent courses include foundational mathematics (Math 101, Math 102), advanced topics (Math 344, Math 525), and specialized courses in cryptography and algebraic geometry.

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).

Ferit Öztürkمشاهده پروفایل

استاد

• Singularity Theory
• Contact Topology
• Symplectic Topology
• +۱ مورد دیگر

Ferit Öztürk is a Professor in the Mathematics Department at Bogazici University, specializing in singularity theory, contact topology, and symplectic topology. He leads the Geometry/Topology Seminar and supervises numerous graduate students in these fields. His research bridges topological methods with applications in robotics and dynamical systems. Recent work includes exotic manifold construction, real contact structures on 3-manifolds, and Morse-Bott theory on Lie groups. Dr. Öztürk holds a Ph.D. from Middle East Technical University (2001) and has developed course materials on Morse Theory and Projective Geometry. Student Supervision: 12+ M.S./Ph.D. students in topology and geometry Research Tools: Contact branched covers, real algebraic models, geometric surgery

Bahattin Koçمشاهده پروفایل

استاد

• 3D Bioprinting
• Additive Manufacturing
• Computational Geometry
• +۳ مورد دیگر

Prof. Bahattin Koç is a Professor at Sabancı University's Faculty of Engineering and Natural Sciences, coordinating the Manufacturing Engineering Program. He holds a Ph.D. and has extensive experience in academia and industry, including roles at The State University of New York at Buffalo. His research focuses on 3D bioprinting, additive manufacturing, computational geometry, and nanotechnology-driven manufacturing processes. Research Interests: 3D bioprinting for tissue engineering, computational geometry for additive manufacturing, heterogeneous and multi-functional object modeling, nano-micro additive manufacturing, and hybrid manufacturing processes. His work integrates advanced design and manufacturing techniques to address challenges in biomedical and industrial applications. Grants and Funding: Secured significant grants including £815,625 from UK EPSRC (2018-2021), €1.4M from DiCoMI H2020 RISE (2018-2022), and $5M from the Turkish Ministry of Development. Projects include bone defect repair, bioprinting of patient-specific scaffolds, and advanced composite manufacturing. Students and Collaborations: Advised over 30 graduate students and researchers. Notable collaborations include work with Penn State University, University of Buffalo, and industry partners like TUSAS Engine Industries. He is a founding member of Sabancı University's Integrated Manufacturing Center and serves on TÜBİTAK advisory boards. Awards and Recognition: Co-inventor of patents such as the 'Method For Three Dimensional Printing Of Heterogeneous Structures' and 'Resorbable Laminated Repair Film'. Recognized for contributions to biofabrication and manufacturing innovation.

Şükran Uygunمشاهده پروفایل

دانشیار

• Number Theory
• Applied Mathematics
• Matrix Analysis
• +۳ مورد دیگر

Şükran Uygun is an Associate Professor at Gaziantep University's Faculty of Arts and Sciences, Department of Mathematics, where she has held positions since 2003. She earned her PhD in Mathematics from Selçuk University (2013) and a Master's in Mathematics from Gaziantep University (2005). Education: PhD (2013) - Selçuk University MS (2005) - Gaziantep University BS (2002) - Gaziantep University Her research focuses on number theory, matrix analysis, and special sequences, particularly bi-periodic Pell/Jacobsthal sequences and their matrix representations. She has published extensively on spectral norms of circulant/Toeplitz matrices and applications to coding theory. Recent publications analyze advanced encryption schemes using Fibonacci matrices, complex Jacobsthal numbers, and binomial transforms of generalized sequences. Her work connects Pell/Jacobsthal sequences with Chebyshev polynomials and explores negative-index extensions. Awarded twice by TÜBİTAK for publication excellence, she has supervised 15 graduate theses and taught courses in numerical analysis, special functions, and differential equations.

• Mathematics Education
• Differential Geometry
• Natural Sciences
• +۳ مورد دیگر

Prof. Hülya KADIOĞLU is a Mathematics Education faculty member at Yıldız Technical University's Faculty of Education , Department of Mathematics and Science Education. With over 15 years of academic experience, she has held positions from Lecturer to Full Professor since 2024. PhD in Mathematics from Gazi University (2007-2011) Postdoctoral research at Idaho State University (2011-2012) Research Interests span differential geometry, Lie algebras, and mathematics education innovation. Her work combines geometric structures with computational methods while developing novel educational approaches for mathematical concepts. Awards include multiple TÜBİTAK Publication Incentive Prizes (2013, 2018) and Yıldız Technical University Faculty-Level Authorship Awards (2018). She has supervised multiple graduate theses and managed 9 funded projects, including several TÜBİTAK initiatives focused on mathematics education and geometric understanding. Her publication record includes 39 WoS-indexed articles with 26 H-index and over 52 total citations.

Erdem Anمشاهده پروفایل

استاد

• Heat Transfer
• Fluid Mechanics
• Thermal Systems
• +۵ مورد دیگر

Prof. Dr. Erdem An serves as a full Professor in the Department of Mechanical Engineering at Yeditepe University's Faculty of Engineering. Holding this position since 2016, he previously advanced from Associate Professor (2008) and Doctoral Lecturer (2006) roles within the same department. His academic foundation includes a PhD (1986-1989) and Master's degree (1985-1986) in Mechanical Engineering from California Institute of Technology, where his doctoral research focused on granular materials and convective heat transfer. Dr. An's research spans Heat Transfer , Fluid Mechanics , and Thermal Systems with specialization in supercritical CO 2 flows, microchannel heat transfer, granular material dynamics, and condensation efficiency. His experimental work frequently investigates microtubes, corrugated channels, and granular flows, yielding significant contributions to refrigeration systems and thermal management applications. Current projects focus on supercritical CO 2 behavior near critical points and energy-efficient drying technologies. Analysis of his 15 most recent publications reveals dominant research themes in microscale thermofluid phenomena (73%), supercritical fluid dynamics (54%), and enhanced heat transfer surfaces (36%). His work demonstrates consistent experimental methodology with increasing computational integration since 2015, particularly in flow orientation effects and buoyancy-driven phenomena. Cassini Recognition Award (NASA) Group Achievement Award (The Aerospace Corporation) Program Recognition Award (The Aerospace Corporation) Four Arçelik Buluşma Günü Innovation Awards (XII-XV) Dr. An has secured substantial research funding including TÜBİTAK 1001 projects (625,845 TL) and multiple San-TEZ industrial collaborations (totaling over 550,000 TL) with Arçelik A.Ş. His administrative leadership includes serving as Department Chair since 2019. He has supervised 13 Master's theses and 4 doctoral dissertations, with current students researching supercritical CO 2 flow characteristics and condensation dynamics. His industrial partnerships have yielded 7 patents related to laundry dryer technology.

• Transportation Planning
• Traffic Engineering
• Public Transport Integration
• +۹ مورد دیگر

Assoc. Prof. Dr. Murat Ergün currently serves at Istanbul Technical University's Faculty of Civil Engineering, Department of Civil Engineering, specializing in transportation planning, traffic engineering, and sustainable infrastructure. He holds a PhD in Transportation Engineering and has contributed extensively to urban mobility, pavement engineering, and risk assessment in transportation systems. PhD (1993): Transportation Engineering, Istanbul Technical University MSc (1985): Transportation Engineering (Mixed), Istanbul Technical University BSc (1981): Civil Engineering, Uludağ University His research focuses on GIS integration for spatial transport analysis, centroid optimization in planning, and sustainable asphalt materials. Recent projects include risk assessment for urban roadside assets and dynamic creep analysis of polymer-modified asphalt. Collaborations with İ. Adalıoğlu dominate his 2025 publications. Key projects span from 2005 BAP initiatives to 2025 studies on autonomous vehicles in public transport. Though no specific scientific awards are listed, his Scopus h-index of 8 reflects significant scholarly impact.

Erkan Günpınarمشاهده پروفایل

دانشیار

• Additive Manufacturing
• Design Space
• Printing Path Optimization
• +۵ مورد دیگر

Erkan Günpınar is an Associate Professor at the Department of Mechanical Engineering, Istanbul Technical University (ITU), specializing in Additive Manufacturing and Computer-Aided Design. His research focuses on optimizing printing paths, material properties, and geometric precision in additive manufacturing processes. He has pioneered work on lattice structures, patient-specific medical systems, and structural optimization for marine applications. Key research interests include generative design methodologies, support structure optimization, and machine learning applications in manufacturing. His work bridges engineering disciplines, integrating mechanical principles with computational techniques to solve complex design challenges. Awards: Best Presentation Award (2016, 2018), Outstanding Contribution in Reviewing (2016), Session Best Paper (2017) Projects: Includes initiatives on yacht hull optimization, cross-derivative surface modeling, and liquid flow-inspired printing paths Advising: Supervises 8 ongoing theses in additive manufacturing and geometric modeling Dr. Günpınar’s recent projects emphasize interdisciplinary collaboration, particularly in biomedical and marine engineering contexts. He actively contributes to journals like Journal of Manufacturing Processes and Computer-Aided Design .

ŞERİF ÖZLÜمشاهده پروفایل

دانشیار

• Fuzzy Logic
• Decision Support Systems
• Neutrosophic Sets
• +۴ مورد دیگر

ŞERİF ÖZLÜ is an Associate Professor at Gaziantep University , currently affiliated with the Nizip Vocational School in the Department of Food Processing . He previously served as a Doctor Teaching Staff member at the same institution. Education PhD in Mathematics , Nevşehir Hacı Bektaş Veli University (2011-2015) MSc in Mathematics , Gaziantep University (2009-2011) BSc in Mathematics , Afyon Kocatepe University (2004-2008) Research Interests Özlü’s work focuses on advanced fuzzy logic frameworks, including Bipolar-Valued Type-2 Fuzzy Sets , Neutrosophic Operational Research , and Soft Set Theory . His research integrates these concepts into Multi-Criteria Decision Making (MCDM) problems, with applications in engineering, business, and technology. Key methodologies include aggregation operators (Dombi, Choquet), similarity measures (Dice, Cosine), and hybrid systems combining fuzzy logic with probabilistic or temporal models. Publication Trends Özlü has published extensively in 2024-2025 on cutting-edge fuzzy logic extensions like probabilistic hesitant fuzzy sets and q-rung orthopair models . Earlier works (2014-2021) explored foundational topics in soft set theory, neutrosophic sets, and their algebraic properties.

Mustafa Özuysalمشاهده پروفایل

استادیار

• Computer Vision
• Object Detection
• Object Tracking
• +۵ مورد دیگر

Mustafa Özuysal is an Assistant Professor in the Department of Computer Engineering at the College of Engineering, Izmir Institute of Technology (İYTE), where he leads the Visual Intelligence Research Group. His research focuses on computer vision, including object detection, tracking-by-detection, and real-time scene text recognition, with applications on mobile devices. Research Interests: Large-scale object detection Object detection and tracking on mobile platforms Real-time scene text recognition Feature learning from image and video sequences Augmented reality and camera egomotion estimation His scholarly work includes influential publications in IEEE TPAMI, IET Computer Vision, and top-tier conferences such as CVPR and ECCV, particularly in local feature descriptors like BRIEF and keypoint recognition using random ferns. His research emphasizes efficient, real-time algorithms suitable for embedded and mobile systems. Scientific Contributions: Co-developer of the BRIEF descriptor, widely used in computer vision for fast binary feature matching. Contributor to tracking-by-detection frameworks and homography estimation methods robust to occlusions and viewpoint changes. Dr. Özuysal has taught a range of undergraduate and graduate courses, including Introduction to Image Understanding, Vision-Based Tracking and Modeling, Data Structures, and Mobile Application Development. He advises the Visual Intelligence Research Group and continues to advance research in scalable and efficient vision systems.

• Computer Science
• Artificial Intelligence
• Digital Art Analysis
• +۳ مورد دیگر

Baybora Temel is an Associate Professor at Trakya University Faculty of Fine Arts , with a PhD in Computer Science from Marmara University (2009). His research merges Artificial Intelligence and Digital Art Analysis , focusing on Art Authentication via wavelet transforms and neural networks. Specializes in Painting Style Classification and Digital Art Forensics Recipient of Nuri Iyem Painting Competition Exhibition (2015) and Australian Embassy Painting Award (2009) Active in International Art Symposia (Odessa, Patras) and National Exhibitions His 15 most recent publications span Art Authentication (2008-2022) and Digital Art Analysis , employing Machine Learning for Cubist Painting Discrimination and Figurative Art Studies . He has curated exhibitions like Art Suites 26th International Art Workshop (2018) and participated in Balkan Exhibitions IV (2023).