Find Academic Supervisors

Banu Günel KılıçView profile

Professor

• Signal Processing
• Artificial Intelligence
• Software Engineering
• +4 more

Prof. Banu Günel Kılıç is a full-time faculty member at Middle East Technical University (METU), where she holds the rank of Professor in the Graduate School of Informatics, Department of Information Systems. She has served in various academic roles since 2004, including previous appointments as Associate Professor (2014-2022) and Assistant Professor (2010-2014), and currently directs the Graduate School of Informatics. Doctorate: Queen's University of Belfast (2001-2004) Postgraduate: University of Bristol (2000-2001) Undergraduate: METU, Electrical Engineering (1995-2000) Her research focuses on signal processing, cybersecurity, and machine learning, with particular emphasis on intrusion detection systems in software-defined networks, acoustic gunshot localization, auditory attention modeling, and security visualization infrastructures. She has supervised 14+ graduate theses, including work on microservice call graphs and institutional investor networks. Recent publications demonstrate strong interdisciplinary work in machine learning and cybersecurity , with specific applications in intrusion detection, cloud resource allocation, and acoustic signal processing. She has contributed to over 25 peer-reviewed publications and holds two standard patents in acoustic source separation technology. Prof. Kılıç has participated in multiple European Union funded projects including EuroCC2 (2023-2026), EUMaster4HPC (2022-2025), and prior FP7 projects like IRIS and DIOMEDES. Her work bridges traditional acoustic signal processing with modern cybersecurity applications in enterprise environments.

Muhammet Emre SanciView profile

Researcher

• Electrical Engineering
• Electronics Engineering
• Computer Engineering
• +8 more

Muhammet Emre Sanci serves as a Research Assistant at Pamukkale University, contributing to academic and research activities within the institution. His educational foundation includes a Bachelor of Science in Physics from Abant İzzet Baysal University (2011) and a Master of Science in Electrical and Electronics Engineering from Pamukkale University (2016), establishing an interdisciplinary background bridging fundamental physics with advanced engineering disciplines. His research expertise spans core domains of Electrical Engineering, Electronics Engineering, and Computer Engineering. Specialized proficiencies include computer-aided design (CAD Modeling and 3D Modeling), programming environments (C#, LabVIEW, Mathematica, and QBasic), and practical engineering operations such as CNC Machining and PIC microcontroller programming. This technical portfolio demonstrates a strong orientation toward applied engineering solutions, instrumentation development, and computational modeling within industrial and academic contexts.

• Computer Aided Design and Manufacturing
• Finite Element Analysis
• Machine Theory and Dynamics
• +3 more

Prof. Dr. İbrahim ÇAYIROĞLU currently holds a full-time Professor position at Karabük University's Faculty of Engineering and Natural Sciences, Department of Mechatronics Engineering. He has served as Department Chair since 2024 and previously held administrative roles including Dean Assistant and Department Chair between 2003-2021. Education: PhD in Mechanical Engineering (2002), Kırıkkale University MSc in Mechanical Engineering (1996), Kırıkkale University BSc in Mechanical Engineering (1991), Istanbul Technical University Research Focus: Specializes in Computer-Aided Design/Manufacturing, Finite Element Analysis, and Machine Dynamics. His work spans robotics, 3D printing optimization, welding technology, and mechanical system simulation. Recent Trends: 2024 publications highlight autonomous robotics, AI-integrated quality control in manufacturing, and advanced finite element analysis. Earlier works focused on SIFT-based object tracking, 3D printing reinforcement, and welding process evaluation. Advising Record: Supervised 11 graduate theses across diverse topics including autonomous robots, composite materials, and 3D printer design. Technical Projects: Led 12 projects between 2007-2023, including TÜBİTAK-funded excavator simulators, composite 3D printers, and automated glass mosaic tiling systems.

• Computer Aided Design
• Machine Design and Machine Elements
• Material Design and Behavior
• +1 more

Mustafa YAŞAR is a Professor at Karabük University , currently affiliated with the Faculty of Engineering in the Mechatronics Engineering Department since 2024. Previously, he served in the Faculty of Technology under the Industrial Design Engineering Department (2013–2023) and the Metal Education Department (2008–2013). Academic Education : PhD in Mechanical Education (2001) and Master’s in Mechanical Education (1996) from Marmara University and Dumlupınar University. Research Areas : Focus on Computer-Aided Design , Machine Design , Material Behavior , and Computer-Aided Manufacturing . His recent publications (2017–2025) span Biomaterials , Tribology , Wear Analysis , and Industrial Design , with methodologies including Finite Element Analysis , Surface Hardening , and Infiltration Techniques . Key projects involve 3D Printing Education , Detonation Forming , and Biodegradable Magnesium Scaffolds . Collaborations include researchers from Bolu Abant İzzet Baysal University, Karabük University, and international institutions. He has supervised 16 theses, including PhD and Master’s students.

• Manufacturing Technologies
• Computer Aided Design
• Composite Materials
• +1 more

Kenan Kütükde is an Assistant Professor at Kafkas University since 2016, affiliated with the Kazım Karabekir Technical Sciences Vocational School under the Department of Machinery and Metal Technologies. His research focuses on composite material machining, computer-aided design, and manufacturing process optimization. Education : PhD and Master's in Mechanical Education from Gazi University; Bachelor's in Machining Teaching Program from Gazi University. His research explores metal matrix composites , drilling process analysis , and manufacturing technologies , particularly using methods like the Taguchi method and grey relational analysis . Publications highlight advancements in cutting force optimization, tool wear assessment, and thermal analysis during machining of B4C-reinforced aluminum composites. Over his career, he has collaborated with researchers like Ahmet Taşkesen (5 collaborations) and contributed to 5 SCI-indexed publications. His work emphasizes improving dimensional accuracy and reducing wear in composite machining processes.

• Mechanical Engineering
• Materials Science
• Tribology
• +5 more

Cenk Misirli is a Professor in the Department of Mechanical Engineering at Trakya University , where he has worked since 1999. He earned his PhD in Mechanical Engineering (2006) with a thesis on gear-like part manufacturing via lateral extrusion and an MSc in Mechanical Engineering (2002) focused on extrusion-type forging processes. Academic Titles: Research Assistant (1999), Assistant Professor (2007), Associate Professor (2018), Professor (2023) His research spans tribology , metal forming , surface coating technologies , and composite materials , with notable work on HVOF-sprayed coatings , friction welding , and micro arc oxidation . Recent publications (2021-2023) examine high-temperature wear behavior in copper alloys, WC-coated brake discs, and electrical conductivity changes in multi-metallic billets. Key scientific contributions include awards like the 3rd R&D Innovation Competition (2019) and multiple TÜBITAK Publication Incentive Awards (2008-2014). He has authored over 30 peer-reviewed papers and contributed to books like Aluminium Alloys: New Trends (Intech, 2012). Projects highlight his expertise in manufacturing process optimization , such as studies on plasma electrolytic oxidation , friction welding , and computer-aided design of industrial systems.

• Electrical Energy and Power Systems
• Power Electronics
• Electronics
• +1 more

Mehmet TAŞLIYOL is a Lecturer at Karabük University's Eskipazar Vocational School, Department of Motor Vehicles and Transportation Technologies, specializing in Rail Systems Electrical and Electronics. He has held this position since 2011 and currently serves as the Vice Director of the Vocational School since 2017. His academic background includes a PhD in Electrical and Electronics Engineering from Karabük University (2018), an MSc in Mechanical Education from Karabük University (2009-2011), and a BSc in Electronics and Computer Education from Pamukkale University (2002-2007). Research Focus: His primary research domains span Electrical Energy Systems, Power Electronics, Control Theory, and Electronics Applications in transportation systems. Specific interests include energy conversion technologies, electromechanical control systems for automotive applications, and power electronics implementations for industrial processes. His work demonstrates consistent focus on applied engineering solutions in energy and transportation sectors. Publication Trends: Recent publications (2024-2025) concentrate on power electronics implementations for ultrasonic applications and material processing, while earlier work (2011-2013) focused on automotive control systems and transportation energy economics. This progression shows an evolution from fundamental electromechanical control research to advanced power system applications. Teaching Portfolio: Extensive instructional experience includes over 80 courses at associate degree level, with recurring instruction in: Electronics and Microcontrollers Robotic Coding (I & II) Computer-Aided Circuit Design Electrical Machines Electronic Security Systems Final Project supervision

SERHAT KILIÇARSLANView profile

Associate Professor

• Data Mining
• Machine Learning
• Bioinformatics
• +2 more

Serhat Kiliçarslan is an Associate Professor at the Software Engineering Department of Bandırma Onyedi Eylül Üniversitesi, Faculty of Engineering and Natural Sciences. He also serves as Deputy Director of the Distance Education Application and Research Center and Deputy Head of the Software Engineering Department. His academic roles include Doctor Lecturer at Bandırma Onyedi Eylül Üniversitesi and Lecturer positions at Gaziosmanpaşa University since 2012. Education: No formal education details provided in the text. His research focuses on data mining, machine learning, bioinformatics, deep learning, and image processing. Key areas include feature extraction methods for agricultural pest classification, medical image analysis using deep learning architectures, and development of novel activation functions for neural networks. His work bridges computer science with applications in healthcare, agriculture, and industrial quality control. Recent publications (2023–2025) highlight advancements in AI-driven solutions for medical diagnosis (e.g., glaucoma, melanoma), agricultural product classification (hazelnuts, apples), and material science modeling. His research emphasizes hybrid approaches combining optimization algorithms with deep learning frameworks. Statistical Contributions: 41 articles (out of 329), 31 papers/congresses (out of 185), and 4 books/chapters (out of 46) within his department attributed to his work. No scientific awards or grant details are mentioned in the provided text. He holds student office hours on Tuesdays 11:00–13:00.

BUKET TOPTAŞView profile

Lecturer

• Machine Learning
• Medical Imaging
• Deep Learning
• +6 more

Buket Toptaş is a Lecturer at the Department of Software Engineering, Faculty of Engineering and Natural Sciences at Bandırma Onyedi Eylül University. She previously served as a Research Assistant (2019–2022) before transitioning to her current role. Her research focuses on machine learning, medical imaging, deep learning, and image processing, with applications in healthcare diagnostics and biomedical engineering. She has contributed to projects such as the Early Diagnosis of Diabetic Retinal Aneurysms with Retinal Image Analysis , completed in 2022. Her academic duties include teaching courses like Machine Learning, Data Mining, and Image Processing at both undergraduate and graduate levels. She is currently supervising a Master’s thesis on Colonoscopic Image Polyp Segmentation with Yaren Akgöl. Her work spans over 30 publications in journals like Soft Computing , Biomedical Signal Processing and Control , and IEEE Access , with a focus on retinal imaging, polyp detection, and algorithm optimization. Her conference contributions include papers on optimization algorithms (e.g., Biogeography-Based Optimization) and flame detection systems. She actively participates in university research projects and maintains an extensive portfolio of peer-reviewed articles addressing challenges in medical image analysis and deep learning.

• 3D Printing
• Additive Manufacturing
• Welding
• +6 more

Ulas Yaman is an Assistant Professor in the Department of Mechanical Engineering at Middle East Technical University (ODTÜ), Ankara, Turkey. He holds a PhD (2014), MSc (2010), and BSc (2007) in Mechanical Engineering from ODTÜ, with a minor in Mechatronics. His academic career includes a Visiting Assistant Professor role at Purdue University (2014-2015) and Research Assistant positions at ODTÜ (2007-2014). Education: PhD, Mechanical Engineering, ODTÜ (2007-2014) MSc, Mechanical Engineering, ODTÜ (2007-2010) BSc, Mechanical Engineering, ODTÜ (2003-2007) Minor in Mechatronics, ODTÜ (2004-2007) Professor Yaman's research focuses on 3D Printing, Additive Manufacturing, CAD/CAM architectures, FPGA-based embedded systems, and computational geometry for manufacturing . His work addresses challenges in dimensional accuracy, interior structure optimization, and command generation paradigms for CNC and 3D printing systems. He developed the LIPRO pipeline, leveraging Python-based scripting and List Processors to reduce G-code file sizes by up to 99.7% in FDM applications. Scientific Contributions: Fundamental advancements in 2.5D curve offset generation using mathematical morphology Innovative shrinkage compensation techniques for FDM 3D printing Hybrid manufacturing systems integrating additive and subtractive processes Query-based CAD/CAM architectures for heterogeneous printing Real-time interpolator implementations on FPGA hardware Awards & Grants: Best Paper Award, IEEE Workshop on Intelligent Solutions in Embedded Systems (2016) TÜBİTAK 1001 Project Grant (2017-2020) for Hybrid Manufacturing Systems TÜBİTAK 3001 Grant (2017-2018) for LIPRO Pipeline Development ODTÜ-BAP Grant (2016) for Dimensional Accuracy Improvement TÜBİTAK PhD Scholarship (2010-2014) As an educator, he has taught advanced courses including ME 533 - Computer-Aided Design and ME 414 - System Dynamics at ODTÜ since 2015. His laboratory leads projects on smart manufacturing systems and develops open-architecture platforms for experimental validation of novel fabrication paradigms.

Alptekin TemizelView profile

Professor

• Computer Vision
• Deep Learning
• GPU Computing
• +3 more

Dr. Alptekin Temizel is a Full Professor at the Graduate School of Informatics, Middle East Technical University (METU), Ankara, Turkey. He leads the METU Deep Learning and Computer Vision Lab (DLCV) and the GPU Research and Education Center. His research focuses on computer vision, deep learning, GPU computing, and medical image analysis. He holds a B.Sc. in Electrical and Electronic Engineering from METU (1999) and a Ph.D. in Computer Vision from the University of Surrey, UK (2006). Affiliations: Executive Board Member, Neuroscience and Neurotechnology Center of Excellence Executive Board Member, METU Center for Image Analysis (OGAM) DLI Certified Instructor and DLI University Ambassador (NVIDIA) Education: B.Sc.: Electrical and Electronic Engineering, METU, Turkey (1999) Ph.D.: Center for Vision, Speech and Signal Processing (CVSSP), University of Surrey, UK (2006) Research Interests: Deep Learning & Computer Vision Applications Medical Image Analysis & Healthcare AI Adversarial Machine Learning & Model Security GPU Parallel Computing & System Optimization Federated Learning in Medical Imaging Recent Achievements: 3rd place in Federated Brain Tumor Segmentation (FeTS) Challenge at MICCAI 2021 Developed SAHI package (2M+ downloads) LIMUC dataset for Ulcerative Colitis endoscopy Teaching: MMI 727: Deep Learning: Methods & Applications MMI 713: Applied Parallel Programming on GPU DI 725: Transformers and Attention-Based Deep Networks MMI 712: Machine Learning Systems Design & Deployment

• Mechanical Engineering
• CAD/CAM
• Process Planning
• +7 more

Prof. Hakkı ESKİCİOĞLU is a Professor at the Faculty of Engineering, Department of Mechanical Engineering at İzmir University of Economics since May 2015. He previously served at Middle East Technical University (METU) from 1982 until his retirement in 1991, advancing through ranks from Assistant Professor (1982–1984) to Associate Professor (1984–1991) and eventually Full Professor (1991–retirement). His research focuses on CAD/CAM, Process Planning, Machine Tools, Numerical Control, and Cutting Optimization. Education: B.Sc. (1973), M.Sc. (1975) from METU Mechanical Engineering; Ph.D. (1981) from University of Manchester Institute of Science and Technology (UMIST), Machine Tools Division. He conducted research at Hannover University (1988–1989) under the Alexander Von Humboldt Foundation. Teaching: Courses include Manufacturing Technologies (ME 204), Computer Aided Design and Manufacturing, Numerically Controlled Machine Tools (ME 420), and Engineering Management. Recent courses span 2015–2025, emphasizing multidisciplinary engineering projects and automation. Awards: Recipient of the Alexander Von Humboldt Scholarship (1987–1988) and Ministry of Education Ph.D. Scholarship (1977–1978). Authored Sayısal Kontrol ve Takım Tezgahları (2010), published by the Chamber of Mechanical Engineers. Additional Workshops: Delivered seminars on Computer-Aided Process Planning and CNC Controller Structures (2016–2017).

• High Voltage Technology
• Power Systems
• Energy Transmission and Distribution
• +2 more

Celal Fadıl KUMRU is a Lecturer at the Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences at Yildiz Technical University. He holds a Ph.D. in Electrical Facilities from the same institution (2016). His research focuses on High Voltage Technology, Power Systems, and Energy Transmission, with emphasis on cable insulation, dielectric properties, and smart grid technologies. He has conducted postdoctoral research at the University of Waterloo (2022-2023) under TÜBİTAK's International Postdoctoral Fellowship Program. Education: Bachelor's in Electrical Engineering (Yildiz Technical University, 2007) Master's in Electrical Facilities (Thesis, 2009) Doctorate in Electrical Facilities (2016) Research Interests: Dr. KUMRU specializes in high voltage cable systems, partial discharge detection using AI, and IoT-based monitoring solutions. His work bridges experimental testing (e.g., thermal analysis of underground cables) with computational modeling (finite element method applications). Recent studies include non-intrusive sensor systems for insulator defect diagnosis and adaptive relay coordination designs. Publications Trends: Focus areas include dielectric properties under varying conditions, cable aging analysis, and smart grid instrumentation. Machine learning methods (CNN, ANN) are increasingly applied in his recent works (2022-2024). Over 30 peer-reviewed articles published in journals like IEEE Transactions on Dielectrics and Electrical Insulation and Electric Power Systems Research. Awards: No specific awards listed, but maintains a h-index of 7 with 274 citations (Google Scholar). Teaching: Instructs core courses including Finite Element Method, Computer Aided Design, and specialized graduate seminars. Lab courses include Electrical and Circuit Laboratory and High Voltage Testing setups. Infrastructure: Developed an IoT-based weather station for high voltage labs and experimental setups for creep characteristic measurements in transformers. Collaborates on projects like dual-core transformer design and graphene-based cable materials. Future Works: Expanding research on AI-driven diagnostic systems for power infrastructure and sustainable insulation materials.

Hakan DemirView profile

Researcher

• Chemical Engineering
• Materials Science
• Computational Chemistry
• +3 more

Hakan Demir is a researcher at Ozyegin University's Faculty of Engineering, Department of Chemical Engineering. His work combines computational chemistry and material science to advance gas separation technologies. Education B.S. Chemical Engineering, Middle East Technical University (2009) M.S. Chemical Engineering, Middle East Technical University (2011) Ph.D. Computational Chemistry, Georgia Institute of Technology (2016) Research Focus Hakan Demir's research centers on: Designing novel porous materials (e.g., MOFs, COFs) Modeling gas adsorption/diffusion in porous media Integrating machine learning with molecular simulations for material prediction Developing solutions for CO2/CH4 separation, CF4 removal, and biogas upgrading His work addresses energy and environmental challenges through computational approaches and has been published in high-impact journals. Projects He leads a TUBITAK 3501 project focused on developing ionic liquid/MOF composites for natural gas separation using classical molecular simulation and machine learning.

REMZİ ÖZTEKİNView profile

Lecturer

• Fine Arts
• Handicrafts
• Jewelry Design
• +4 more

REMZİ ÖZTEKİN is a Lecturer at Gaziantep University's Technical Sciences Vocational School, Department of Handicrafts, since 2007. He holds two master's degrees: (1) 2019 - Handicrafts (with thesis) from Gazi University, and (2) 2017 - Educational Management, Supervision, Planning and Economics (without thesis) from Gaziantep University. Earlier education includes a 1995-1998 Applied Jewelry Technology associate degree from Marmara University and 1990-1993 technical training in jewelry from İçel Kuyumculuk. Education: M.Sc. in Handicrafts, Gazi University (2016-2019) M.Sc. in Educational Management, Gaziantep University (2013-2017) Licence in Jewelry, Mersin University (2002-2005) His research focuses on jewelry design, metalworking techniques, and educational applications in handicrafts. He has explored 3D modeling, casting processes, and CNC technologies in jewelry production. Professional activities include conducting workshops at Mersin University, participating in exhibitions like 'Different Handicrafts Meeting in Jewelry' in Mardin, and creating multimedia presentations for Gaziantep Kanal 5. He has held administrative roles as Department Head (2008-2013, 2013-2022) and Application Center Manager (since 2015) at Gaziantep University. His teaching portfolio includes courses in Plastic Arts, Jewelry Design, Ornament Terminology, and Collection Preparation, with international publications presented in Italy, Kosovo, and Turkey.