جست‌وجوی استاد و پژوهشگر

• Mechanical Engineering
• Finite Element Methods
• Materials Science
• +۷ مورد دیگر

Mine Uysal is a Researcher at Yıldız Technical University, Faculty of Mechanical Engineering, Department of Mechanical Engineering. Her academic journey includes a BSc (2005), MSc (2010), and PhD (2015) in Mechanical Engineering from Pamukkale University and Yıldız Technical University, respectively. She began postdoctoral research at the University of Kentucky (College of Engineering) in 2017. PhD, Mechanical Engineering (2015, Yıldız Technical University) MSc, Mechanical Engineering (2010, Pamukkale University) BSc, Mechanical Engineering (2005, Pamukkale University) Her research focuses on advanced materials behaviors, including functionally graded materials, polymers, adhesively bonded joints, and finite element modeling for engineering systems. Key areas include composite structures, thermal/mechanical loading effects, and sustainable manufacturing techniques like nanofluid-assisted machining. Scientific contributions include 15 recent articles spanning topics such as delamination analysis in bonded beams, sustainable machining optimization, buckling behavior of graded polymers, and fracture mechanics in composite materials. Her work integrates finite element methods with experimental validation for adhesive joints and sandwich structures. Collaborative projects include research funded by The Scientific and Technological Research Council of Turkey (TUBITAK) and international postdoctoral work at the University of Kentucky.

• Computational Design
• Architectural Education
• Artificial Intelligence in Architecture
• +۹ مورد دیگر

Assoc. Prof. Dr. Sema Alaçam Doğan has been affiliated with Istanbul Technical University since 2014, serving as an Associate Professor in the Department of Architecture . She has held administrative roles including Deputy Head of Department and Erasmus Coordinator. Education : PhD in Informatics in Architectural Design (2008-2014), MS in Informatics in Architectural Design (2005-2008), and BS in Architecture (1999-2005) from Istanbul Technical University. Her research explores Computational Design , Artificial Intelligence in Architecture , and Sustainable Material Innovation . She investigates digital tools for heritage preservation, daylight optimization in BIM, and cognitive development in architecture students. Recent publications analyze AI-assisted design literacy , machine learning for Sinan mosques , and environmental comfort in Harran houses . Her work integrates algorithmic frameworks with sustainable practices. Scientific awards include multiple ITU Publication and Performance Awards (2021-2024), FABFEST Prizes , and the 2024 Artemis Educator Award from NASA. Active projects like "Physical Computation in Architectural Drawing" and "Robotic Fabrication with Recycled Wind Turbine Blades" demonstrate her leadership in computational and sustainable research.

Sahir Arıkanمشاهده پروفایل

استاد

• CAD
• CAM
• Robotics
• +۴ مورد دیگر

M. A. Sahir Arıkan is a Professor at the Middle East Technical University (METU), located at Üniversiteler, Dumlupınar Bulvarı No:1, 06800 Çankaya/Ankara. He holds a B.Sc. (1979), M.Sc. (1981), and Ph.D. (1987) from METU. His research focuses on CAD, CAM, Robotics, Machine Elements, Machine Design, Gear Design, and Gear Dynamics. These areas emphasize advanced engineering methodologies and mechanical systems optimization. No scientific awards, articles, grants, or advised students are explicitly mentioned in the provided text. Affiliations and contact details beyond the university address are not available.

Yusuf Yaşaمشاهده پروفایل

دانشیار

• Electrical Machines and Energy Conversion
• Power Electronics
• Hybrid and Electric Vehicles

Assoc. Prof. Dr. Yusuf Yaşa is an Associate Professor at Istanbul Technical University, Department of Electrical Engineering, specializing in Electrical Machines, Power Electronics, and Hybrid/Electric Vehicles. He holds a PhD from Yıldız Technical University and has served in academic and administrative roles at Bursa Technical University and Istanbul Technical University. PhD in Electrical Machines and Power Electronics, Yıldız Technical University (2006–2013) Current Vice Dean at Istanbul Technical University (2023–) Founding Partner of Yasa Motor Technologies (2018) and Nardan Power Conversion Systems Ltd. Co. (2023) His research focuses on noise mitigation in switched reluctance machines, battery cooling with graphene-enhanced phase change materials, and efficiency optimization in electric vehicle systems. He has led projects on DC fast-chargers and sensorless control of synchronous reluctance motors. His publications address energy conversion, battery management, and acoustic noise reduction. Recent research trends include advancements in electric vehicle modeling, state-of-charge estimation for Li-ion batteries, and thermal management solutions for battery systems. His work integrates simulation tools like ANSYS and machine learning for efficiency improvements. He has advised PhD and Master’s theses on topics such as battery charge rate estimation, graphene-doped PCM materials, and Kalman filter-based motor control. Collaborations span institutions like The University of Akron and companies in electric propulsion and robotics.

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.

Ergin Tönükمشاهده پروفایل

دانشیار

• Pneumatic Tires
• Finite Element Analysis
• Analysis and Synthesis of Mechanisms
• +۲ مورد دیگر

Ergin Tönük serves as an Associate Professor in the Mechanical Engineering Department at Middle East Technical University (METU) in Ankara, Turkey. With a career deeply rooted at METU where he earned all his degrees, he maintains an active research profile with office B-319 and contact details tonuk@metu.edu.tr and +90 312 210 5293. His academic credentials include: Bachelor's Degree (B.Sc.) from METU, 1990 Master's Degree (M.Sc.) from METU, 1992 Ph.D. from METU, 1998 Professor Tönük's research spans Pneumatic Tires, Finite Element Analysis, Mechanism Synthesis, Soft Tissue Biomechanics, and Railway Vehicles. His biomechanics work focuses on computational modeling of biological systems including joint mechanics, tissue behavior, and medical device development. Tire and railway research leverages his mechanical engineering expertise for transportation applications, while his mechanism design studies address complex kinematic problems. Analysis of his 2016-2025 publications reveals a strong biomedical trajectory with emphasis on orthopedic applications. Key themes include hand/knee joint modeling, tissue engineering scaffolds, gait/posture analysis systems, and viscoelastic material characterization. His methodological signature combines finite element analysis with experimental validation, particularly in soft tissue mechanics and surgical simulation. While specific advising records and grant details aren't provided, his 70+ publications indicate substantial graduate mentorship and research funding acquisition. His work aligns with biomechanics and computational mechanics groups within METU's Mechanical Engineering Department, though dedicated laboratory facilities aren't specified in available sources.

Sermet DEMİRمشاهده پروفایل

استادیار

• Mechanical Engineering
• Biomedical Engineering
• Additive Manufacturing
• +۳ مورد دیگر

Sermet DEMİR is an Assistant Professor at the Faculty of Engineering , Department of Mechanical Engineering , Doğuş University. His work focuses on additive manufacturing, orthotic device design, and mechanical property optimization of composite materials. He teaches courses such as Experimental Engineering, Manufacturing Technology, and Computer-Aided Design. Education : BSc and MSc in Mechanical Engineering from Marmara University; PhD in Mechanical Engineering from Marmara University (2018). Research Interests center on biomedical devices, 3D printing, and structural analysis. His publications often employ the Taguchi method, Response Surface Methodology (RSM), and Quality Function Deployment (QFD) for design optimization. Recent works explore triply periodic minimal surface (TPMS) metamaterials, war bow mechanics, and adhesive joint performance. Scientific Awards are not explicitly mentioned in the text. His projects are sponsored by Doğuş University Scientific Research Projects Coordination Unit (grants 2021–22-D1-B02).

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.

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.

• Electrical Machines
• Energy Conversion
• Permanent Magnet Motors
• +۳ مورد دیگر

Lale Tükenmez Ergene is a Professor at Istanbul Technical University 's Department of Electrical Engineering, specializing in Electrical Machines and Energy Conversion . Her work bridges theoretical research and practical applications in motor design for electric vehicles and home appliances. Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute 20+ years of academic and administrative leadership Focus areas: Permanent Magnet Motors, Synchronous Reluctance Motors, and Sensorless Control Systems Her research explores: Optimization of traction motors for electric vehicles Advanced sensorless control algorithms for motor drives Reduction of voltage distortion in high-performance motors Integration of predictive diagnostics in motor systems Applications of neurofuzzy control systems in multicopters Recent publications highlight trends in PMaSynRM parameter estimation , flux weakening capabilities , and real-time motor diagnostics . Her work spans both traditional electrical engineering and cross-disciplinary innovations like VR-based language learning systems for EU workforce mobility. Scientific recognition includes: Best Poster Paper Award (2016) 2nd Prize in Graduation Design Competition (2015) Doctoral Thesis Excellence Award (2015) She leads projects such as: Pmasynrm's Innovative Real-Time Model Diagnostic System (2021-2024) Sensorless Magnet-Supported Motor Drive for Washing Machines (2019-2022) VR-based Business English Training for Engineers (2018-2022)

• Engineering Geology
• Rock Mechanics
• Slope Stability
• +۵ مورد دیگر

Tümay Kadakci Koca is an Associate Professor in the Department of Geological Engineering, Faculty of Engineering at Muğla Sıtkı Koçman University. She holds a Ph.D. in Applied Geology from Dokuz Eylül University (2021), an MSc in Applied Geology (2011), and a BSc in Geological Engineering from Hacettepe University (2009). Research Focus: Engineering geology, rock mechanics, slope stability analysis, geotechnical engineering, and soft computing applications in geological problems. Academic Contributions: Over 15 publications focusing on rock slope stability in mining operations, soil burn severity mapping post-wildfires, and geomechanical properties of sedimentary rocks. Scientific Recognition: Recipient of Kemal Erguvanlı Engineering Geology Award (2022) and Altın Çekiç Geology Research/Article Award (1900). Projects: Led TÜBİTAK-funded research on post-fire soil burn severity in Muğla, contributed to dam reservoir landslide analyses, and consulted for private mining projects in Turkey. Her work integrates numerical modeling with field studies, emphasizing Turkey-specific geological challenges and environmental impacts.

Yiğit Karpatمشاهده پروفایل

استاد

• Manufacturing Systems
• Precision Manufacturing
• Micro Engineering
• +۳ مورد دیگر

Prof. Dr. Yiğit Karpat is a faculty member at Bilkent University with a joint appointment in the Department of Industrial Engineering and Mechanical Engineering. He leads research at the Micro System Design and Manufacturing Center and collaborates with UNAM (National Nanotechnology Center). Ph.D., Industrial Engineering, Rutgers University (2007) M.S., Mechanical Engineering, Middle East Technical University (2000) B.S., Mechanical Engineering, Dokuz Eylul University (1996) His research focuses on precision manufacturing, micro machining, and composite material processing, particularly for CFRP and titanium alloys. Key interests include: Digital twin modeling for machining processes Surface integrity analysis Friction and wear in micro cutting Tool design optimization Additive manufacturing integration Recent publications analyze micro-scale process mechanics and surface integrity in silicon and titanium machining. Current projects funded by TÜBİTAK and TAI include: Development of digital process twin for micro milling (TÜBİTAK 1001, 2024-2026) Ductile mode machining of silicon (TÜBİTAK 1001, 2019-2021) Brittle material machining with nanostructured tools (TÜBİTAK 1001, 2015-2017) He supervises both M.Sc and Ph.D students while serving on multiple TÜBİTAK and defense industry projects.

• Artificial Intelligence
• Neural Networks
• Machine Learning
• +۱۲ مورد دیگر

Burak Berk Üstündağ is a Professor in the Department of Computer Engineering at the Faculty of Computer and Informatics, Istanbul Technical University (ITU). He has been a key academic figure at ITU since the 1990s, progressing through the ranks from Research Assistant to full Professor, a position he attained in 2019. He has also held significant administrative roles, including Director of the Application and Research Center and membership in the ITU Informatics Institute Management Board. PhD, Control and Computer Engineering, Istanbul Technical University (2000) MSc, Control and Computer Engineering, Istanbul Technical University (1994) BSc, Electrical Engineering, Istanbul Technical University (1991) His research is deeply rooted in Artificial Intelligence , with a focus on Neural Networks , Wavelet-based models , and machine learning applications in environmental, agricultural, and maritime domains. He has developed frameworks like PECNET for multivariate time series forecasting and has pioneered work in cognitive communication systems, particularly for underwater and agricultural monitoring. His work bridges theoretical AI models with real-world applications in precision agriculture, water quality monitoring, and ionospheric forecasting. The most recent articles show a strong trend in applying deep learning (LSTM, DNNs) and hybrid models (Wavelet-NN) to complex, real-time systems. His research spans environmental data science , smart agriculture , underwater acoustics , and cognitive risk management . He emphasizes performance, real-time operation, and intelligence quantification in AI systems. His scientific awards include: Outstanding Young Scientist of the Year (2004) Junior Chamber International - Year's Professional Award (2003) Yılın Meslek Ödülü (2002) Service Award from Air Force Academy (2000) Gelişimine Katkı Ödülü from ITU (1996) Prof. Üstündağ has actively supervised research and led multiple projects as Principal Investigator, including national and institutional grants in AI-driven software systems, social media robots, real-time cognitive risk management, and elderly support devices. He has advised students in AI, neural networks, and intelligent systems, though specific names are not listed. His lab activities are centered around the Software Development Laboratory and cognitive systems research under various funded projects.

• Electric Machines
• Permanent Magnet Motors
• Reluctance Motors
• +۷ مورد دیگر

Lale Ergene is a Professor in the Department of Electrical Engineering at Istanbul Technical University (ITU), College of Engineering. Her research focuses on advanced electric machine design and control systems for industrial and automotive applications. She is actively involved in motor drive innovation, particularly in permanent magnet and reluctance motor technologies. Research Interests: Dr. Ergene specializes in electric machines, with emphasis on Permanent Magnet Synchronous Motors (PMSM), Interior Permanent Magnet (IPM) motors, and Permanent Magnet Assisted Synchronous Reluctance Motors (PMaSynRM). Her work spans sensorless control, field weakening techniques, finite element analysis, and motor optimization for electric vehicles and home appliances. She applies intelligent control methods such as neuro-fuzzy systems and real-time diagnostics. Recent Research Trends: Her recent publications (2023–2024) show a strong focus on improving motor efficiency and control robustness, especially in EV traction systems and white goods. Key themes include voltage distortion reduction, flux weakening enhancement, real-time parameter estimation using FFT, and lean sensorless control at zero/low speeds. Her work bridges theoretical modeling with industrial applications. Scientific Awards: Best Poster Paper AWARD (2016) Graduation Design and Project Competition 2nd Prize (2015) ITU 2014 Best Doctoral Thesis Award (2015) Advising and Grants: Dr. Ergene has supervised or is currently supervising 25 theses, indicating a strong mentoring role. She has led multiple funded projects, including TÜBİTAK and ITU BAP grants, focusing on FPGA-based neural network control, three-level inverter design, real-time model diagnostics, and sensorless control for washing machines and EVs. Her projects demonstrate sustained research funding and applied engineering impact. Labs and Research Teams: While specific lab names are not mentioned, her projects imply leadership in a motor control and electric machines research group at ITU, likely involving FPGA, real-time simulation, and embedded control systems. Her collaborations with researchers like A.F. Ergenc, M. Yilmaz, and A. Tap suggest an active, multidisciplinary team focused on next-generation motor drives.