جست‌وجوی استاد و پژوهشگر

• CAD/CAM
• Process Planning
• Machine Tools
• +۲ مورد دیگر

Prof. Dr. Hakkı Eskicioğlu is affiliated with the Department of Mechanical Engineering at İzmir University of Economics. He holds a Ph.D. in Machine Tools from the University of Manchester Institute of Science and Technology (UMIST) and has held academic positions at Middle East Technical University (METU) from 1982 to 1991, including Assistant Professor, Associate Professor, and Professor. Between 1988-1989, he conducted research on AI and Expert Systems at Hannover University's IFW as a visiting scholar under the Alexander Von Humboldt Foundation. B.Sc. in Mechanical Engineering, Middle East Technical University (1973) M.Sc. in Mechanical Engineering, Middle East Technical University (1975) Ph.D. in Machine Tools, University of Manchester Institute of Science and Technology (1981) His research focuses on Computer-Aided Design and Manufacturing (CAD/CAM) , Process Planning , Machine Tools , Numerical Control , and Cutting Optimization . He has authored the book Numerical Control and Machine Tools (published in Turkish by the Chamber of Mechanical Engineers) and contributed to 21 international conference and journal publications. Scientific Awards : Alexander Von Humboldt scholarship

• Machine Design
• Production Technologies
• Computer-Aided Design

Murat ORHUN is a Lecturer at Kastamonu University's Küre Vocational School, Department of Motor Vehicles and Transportation Technologies. He has been working full-time since 2014 and served as a thesis advisor for at least one Master's student. Bachelor's Degree: Afyon Kocatepe University, Faculty of Technical Education, Department of Mechanical Drawing and Construction Education (2011) Master's Degree: Afyon Kocatepe University, Institute of Science, Mechanical Engineering (2013) His research focuses on Solar Tracking Systems , Photovoltaic Panel Efficiency , and Computer-Aided Design , with applications in renewable energy and transportation technologies. Recent publications highlight innovations in solar tracker design, comparative analysis of panel performance, and controller development for energy optimization. (2011) Technical Education Faculty 3rd Place, Afyon Kocatepe University He has been involved in 1 TÜBİTAK-funded project and contributed to 3 international scientific collaborations. Metrics include 32 citations and an h-index of 2 on Google Scholar.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۹ مورد دیگر

Assoc. Prof. Murat GEZER (Istanbul University, Faculty of Science, Computer Science Department) is a prominent academic with expertise in artificial intelligence, machine learning, computer vision, and medical informatics. His career spans multiple universities including Istanbul University (2024-), University of Health Sciences (2023-2024), and Kadir Has University (2020-2021). He holds a Ph.D. in Electrical-Electronics Engineering (2014) and a Master's in Informatics (2007). Education: Ph.D. in Electrical-Electronics Engineering (Istanbul University, 2014), Master's in Informatics (2007), B.Sc. in Astronomy & Space Sciences (Ege University, 1997) Research interests focus on AI applications in healthcare (e.g., carotid disease prediction, diabetes management), deep learning for image processing (embryo segmentation, skin lesion analysis), and interdisciplinary work connecting technology with ecological concerns. He has contributed to explainable AI frameworks for climate analysis and advanced recommender systems. His publications span climate modeling, medical imaging, game analytics, and educational technology. He has served as journal editor (2021-), book editor , and conference reviewer . His patents include smart diabetes and wood diagnosis systems. Current roles involve Deputy Head of Computer Science Department and Erasmus Coordinator at Istanbul University.

Aydın Tarık Zenginمشاهده پروفایل

استادیار

• Robotics
• Autonomous Systems
• Embedded Systems
• +۳ مورد دیگر

Aydın Tarık Zengin is an Assistant Professor at Istanbul Technical University , Department of Electrical Engineering , since 2022. He previously held administrative and academic roles (Head of Department, Deputy Director) at Istanbul Sabahattin Zaim University from 2015 to 2022. He earned his PhD from Kumamoto University (2010-2013) and has an educational background in Electrical Engineering. His research focuses on Robotics , Autonomous Systems , and Embedded Systems , with notable work in: Power Line Inspection Robots (ROSETLineBot, temperature mapping, sagging measurement) Autonomous Vehicle Platoons (control algorithms, stability under disturbances) AI/ML Applications (error correction codes, lane detection, wind forecasting) Human Skin Pain Modeling and Vibrotactile Feedback Systems He has received awards including the Young Author Award (2013) and Best Student Paper Award (2012) . His 15 most recent articles emphasize AI integration in power systems, autonomous vehicle control, and environmental monitoring. Current projects include the BAP-funded Multi-Channel Power Supply for Nuclear Electronics (2023-2025). He is an IEEE Member (2019-2020) and participates in academic governance as a board member.

• 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)

• Production Technologies
• Material Design and Behavior
• Machine Design and Machine Elements

Bilal ÇOLAK is a Lecturer at the Motivational Vehicles and Transportation Technologies Department , Eskipazar Vocational School , Karabük University , where he has worked full-time since 2019. Previously, he served at the Property Protection and Security Department (2010-2019) and Asım Kocabıyık Vocational School (2001-2003). He holds a PhD (2018) and MSc (2005) in Mechanical Engineering from Karabük and Kocaeli Universities, respectively. PhD: Karabük University, Mechanical Engineering (2018) MSc: Kocaeli University, Mechanical Engineering (2005) BSc: Istanbul Technical University, Mechanical Engineering (1999) His research focuses on Production Technologies , Material Design and Behavior , and Machine Design . He has published extensively on steel sheet manufacturing , rolling process optimization , and surface engineering . Key projects include: Determining optimal reduction ratios in temper rolling (2024-2025) Asymmetrical rolling parameter analysis (2022-2023) Residual stress studies in temper rolling (2020-2022) Surface roughness homogeneity (2017-2018) He supervises three postgraduate students and collaborates with researchers like Naci Kurgan, Batuhan Özakın, and Zahoor Ahmed.

• 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.

Barış Yıldızمشاهده پروفایل

استادیار

• Urban Mobility
• City Logistics
• Network Design and Optimization
• +۹ مورد دیگر

Barış Yıldız is an Assistant Professor in the Department of Industrial Engineering at Koç University, where he focuses on network design and optimization in transportation systems. His work addresses urban mobility, autonomous vehicles, and logistics challenges, emphasizing sustainable and efficient solutions. He leads projects funded by the European Research Council (ERC) and TÜBİTAK, including initiatives on crowdshipping, social aid distribution, and shared transportation networks. Research Interests: Urban logistics, autonomous and electric vehicles, optimization algorithms, machine learning applications in transportation, and multi-modal network design. His projects often integrate public transit systems to enhance delivery efficiency and reduce environmental impact. Key Projects: GoodMobility (ERC STG 2022) : Developing a network-centric logistics framework prioritizing public value over traditional business models. Social Aid Distribution Network (TÜBİTAK 1001) : Leveraging public transit for efficient in-kind donation delivery via volunteer couriers. Shared Network Design (TÜBİTAK 3502) : Optimizing shared transportation networks to reduce costs and emissions in urban logistics. Publications span transportation optimization, drone routing, electric vehicle infrastructure, and algorithmic innovation in logistics. His work is published in top journals like Transportation Research Part C and Operations Research .

• Electrical Discharge Machining
• Nontraditional Machining Processes
• Manufacturing Systems
• +۳ مورد دیگر

Prof. Dr. Can ÇOĞUN is a distinguished academic and administrator currently serving as both Professor and Rector at Çankaya University, Faculty of Engineering, Department of Mechatronics Engineering. With a career spanning over four decades, he has held significant academic positions at prestigious institutions including Middle East Technical University and Gazi University. His academic journey began with his education at Middle East Technical University where he earned his Bachelor's, Master's, and Doctorate degrees in Mechanical Engineering. Prof. ÇOĞUN's research focuses primarily on advanced manufacturing technologies, with particular expertise in Electrical Discharge Machining (EDM) and nontraditional machining processes. His extensive body of work demonstrates deep specialization in precision manufacturing, metal cutting, and production engineering. Through his research, he has made significant contributions to understanding machining mechanisms, electrode design, surface characteristics, and process optimization in electrical discharge machining. The analysis of his recent publications reveals a consistent research trajectory centered on improving machining performance, particularly in EDM and electrochemical processes. His work spans fundamental studies of machining mechanisms to practical applications in precision hole drilling, surface quality improvement, and the development of advanced control systems. Notably, his research has evolved to incorporate modern approaches such as machine learning for process optimization and the application of these techniques to advanced materials including titanium alloys and biodegradable magnesium alloys. Throughout his distinguished career, Prof. ÇOĞUN has supervised numerous graduate students across multiple institutions, demonstrating his commitment to academic mentorship. His administrative experience is equally impressive, having served as Rector of Çankaya University since 2018, in addition to previous leadership roles including Dean of Engineering Faculty at Gazi University. His professional activities extend to editorial roles for prominent journals including the Journal of the Faculty of Engineering and Architecture of Gazi University and the Cankaya University Journal of Science and Engineering. Prof. ÇOĞUN's laboratory and research team have focused on developing innovative approaches to electrical discharge machining, with particular emphasis on improving machining performance, surface quality, and process efficiency. His work has practical applications in aerospace, biomedical engineering, and precision manufacturing industries where high-quality machining of difficult-to-cut materials is essential.

Onat Halis TOTUKمشاهده پروفایل

استادیار

• Additive Manufacturing
• Soft Robotics
• Mechanical Engineering Design
• +۴ مورد دیگر

Dr. Onat Halis TOTUK is an Assistant Professor at Çankaya University's Faculty of Engineering, Department of Mechatronics Engineering. He holds a PhD from İskenderun Technical University (2019-2023) and earlier degrees from Middle East Technical University (BSc 1982-1987, MSc 1987-1989). His academic career includes roles as a Lecturer and Assistant Professor, with part-time status from 2012-2018 before transitioning to full-time positions. Research Interests : Focus on Additive Manufacturing, Soft Robotics, and Computer-Aided Design. Key areas include 3D printed materials for robotics, SCAMPER methodology in design education, and sustainable engineering solutions aligned with UN SDGs. Recent work explores biomimetic manufacturing and adaptive robotic systems. Recent Trends in Publications : Recent articles emphasize soft robotics actuators, 3D printing applications in biomedical engineering, and innovative design methodologies. Earlier work includes studies on solar collector optimization and machining processes. Grants & Projects : Lead or contributed to projects like 'EBOT Pharmacy Robot Automation' (2021-2022) and 'Waste-to-Active Carbon Conversion' (2023-2024). Active in developing pharmacy automation systems and smart storage solutions. Advising : Supervised 5 master's students focusing on topics like robotic systems for additive manufacturing, tool wear analysis, and AI-driven ERP systems. Courses taught include Additive Manufacturing, Computer-Aided Design, and Mechatronics fundamentals.

Hasan Erginمشاهده پروفایل

استاد

• Nanotechnology
• Industrial Raw Materials
• Mineral Reserve Assessment and Production Planning
• +۴ مورد دیگر

Prof. Hasan Ergin is a Professor at Istanbul Technical University's Department of Mining Engineering, Faculty of Mines. He holds a PhD from The University of Leeds. His research focuses on nanotechnology, industrial raw materials, mineral reserve assessment, ceramic processes, aerated concrete, size reduction technologies, and cement processes. Education: PhD in Mining Engineering, The University of Leeds (1994) Bachelor's in Mining Engineering, Istanbul Technical University (1986) Research Interests: Development of novel ceramic and cement production methods Waste recycling in industrial processes Optimization of grinding and milling technologies Geotechnical analysis of mining and tunneling equipment Sustainable materials and energy-efficient manufacturing Key Contributions: Pioneered dry granule preparation techniques for ceramic tiles Advanced recycling of ceramic sludge and tile waste Improved cement grinding efficiency with polymer-based aids Developed methods for roadheader stability and drill bit optimization Recognition: 2022: 1st Prize in Türkiye Productivity Project Awards (Ministry of Industry and Technology) 2021: Sustainability Academy Award for recycled tile formulations Advising & Grants: Supervised over 10 PhD/Master's theses on topics like cement chemistry and mining machinery Principal Investigator for projects such as 'Production of Mesoporous Nano Silica' (2023) and 'Chemicals for Cement Grinding' (2018) Labs & Teams: Leading the Ceramics and Cement Materials Research Group at ITU Collaborates with industry partners on sustainable manufacturing solutions

• GeoInformatics
• Geographic Information Systems (GIS)
• 3D Geographic Information Systems (3D-GIS)
• +۱۲ مورد دیگر

Ismail Rakip Karas is a Professor of Computer Engineering and Head of the 3D GeoInformatics Research Group at Karabuk University, Turkey. He holds a BSc from Selcuk University (1997), MSc from Gebze Institute of Technology (2001), and PhD from Yildiz Technical University (2007). His career includes roles as Visiting Researcher at Universiti Teknologi Malaysia (2010–2014) and Research Assistant at Gebze Institute of Technology (2000–2009). Currently, he serves as Deputy Rector of Karabuk University and has held administrative positions including Dean of Safranbolu Fine Art and Design Faculty, Director of Safranbolu Vocational School, and acting Dean of the Faculty of Architecture. Research interests span GeoInformatics, 3D GIS, network analysis, spatial data structures, and intelligent transportation systems. He has led over 20 national/international projects, including EU-funded initiatives and collaborations with institutions like Nara Institute of Science and Technology and University of Szeged. His work emphasizes smart city applications, indoor navigation, and emergency evacuation models. Publications include over 100 peer-reviewed articles and book chapters, focusing on GIS applications, machine learning in geospatial analysis, and 3D modeling. He has organized conferences like Geo-Advances 2017 and serves on editorial boards of journals such as the International Journal of Geo-Spatial Knowledge and Intelligence.

Çetin ÇİMENمشاهده پروفایل

مدرس

• Manufacturing Technologies
• Machine Design
• Computer-Aided Design
• +۳ مورد دیگر

Çetin ÇİMEN is a Lecturer at Kafkas Üniversitesi's Kazım Karabekir Technical Sciences Vocational School, Department of Machinery and Metal Technologies. He holds a PhD in Mechanical Engineering from Atatürk University (2020) and has been a full-time academic staff member since 2018. His research focuses on manufacturing technologies, machine design, biomechanics, and alternative energy systems. Professional Roles: Program Director, Education Coordinator, and Member of Academic Councils Teaching: Courses include Thermodynamics, Computer-Aided Design, and Renewable Energy Systems Education: PhD: Atatürk University, Mechanical Engineering (2020) MSc: Fırat University, Mechanical Education (2004) BSc: Fırat University, Mechanical Education (1997) Research Highlights: Specializes in advanced manufacturing techniques including Selective Laser Melting (SLM) and thin film coatings. Explores antimicrobial surface treatments for biomedical applications, sustainable energy systems, and polymer nanocomposite technologies. Active in renewable energy integration for land vehicles and robotics modeling. Project Leadership: Principal Investigator for the 2022-2025 research project investigating thin films on SLM-fabricated biomaterials.

• Computer Vision
• Deep Learning
• 3D Point Cloud Processing
• +۷ مورد دیگر

Yusuf Hüseyin Şahin is an Assistant Professor in the Department of Computer Engineering at Istanbul Technical University, Faculty of Computer and Informatics. He earned all his academic degrees—B.Sc., M.Sc., and Ph.D.—from the same institution in Computer Engineering. His research lies at the intersection of computer vision, deep learning, and 3D data processing, with applications in medical imaging, architectural heritage, and drone-based vision systems. B.Sc., M.Sc., Ph.D. in Computer Engineering, Istanbul Technical University His primary research interests include 3D point cloud processing, deep learning, image segmentation, adversarial attacks, and medical image analysis. He has published extensively on these topics, particularly focusing on point cloud registration, segmentation, and classification using neural networks. His recent work explores uncertainty modeling, active learning, and generative models for both synthetic data creation and real-world applications. The trend in his publications from 2017 to 2024 shows a clear progression from foundational work in CNN-based 3D classification and cerebral vessel analysis to advanced topics such as dynamic graph networks, conformal prediction, and heritage digitization. His work bridges theoretical machine learning with practical applications in healthcare and cultural preservation. He is currently leading a research project titled "Konformal Tahmin ile Sıcaklık Tahmin Modellerinde Doğruluğun Arttırılması" (Improving Temperature Prediction Accuracy Using Conformal Forecasting), funded under the SRP program from 2025 to 2026. This indicates an expanding interest in predictive modeling and uncertainty quantification. While no scientific awards are listed in the provided texts, his h-index of 5 and 293 citations on Scopus reflect an active and growing research profile. Dr. Şahin teaches undergraduate courses such as Data Structures (BLG 223E) and Object-Oriented Programming (BLG 252E). He has no listed advisees or thesis supervision records. He is part of a collaborative research network involving Gozde Unal and other researchers in medical and architectural computer vision. His lab activities appear to focus on deep learning for 3D data, with emphasis on robustness, efficiency, and real-world deployment.

Demet Balkanمشاهده پروفایل

استادیار

• Composite Materials
• Structural Dynamics
• Aerospace Engineering
• +۳ مورد دیگر

Demet Balkan is an Assistant Professor at the Department of Aerospace Engineering, Istanbul Technical University. Her research focuses on composite materials, structural dynamics, and aerospace engineering applications. She specializes in analyzing blast loads, viscoelastic cores, and additive manufacturing techniques for structural components. Key Projects: Development of AI-aided image processing algorithms for space environments (BAP-funded, 2025–2028) Experimental investigation of blast responses in additively manufactured sandwich structures (TUBITAK-funded, 2022–2023) Her research interests include finite element analysis, structural health monitoring, and computational modeling of composite materials under extreme conditions. She has published extensively on topics like delamination prediction, bird strike analysis, and vibration behavior of composite structures. Dr. Balkan has led 7 research projects and contributed to over 15 peer-reviewed articles, with notable works on ANN algorithms for strain prediction and blast load modeling. She collaborates internationally, particularly on aerospace materials and structural resilience.