Find Academic Supervisors

• Mechanical Engineering
• Additive Manufacturing
• Finite Element Analysis
• +3 more

Slawomir KEDZIORA is an Associate Professor of Mechanical Engineering and Design at the University of Luxembourg's Faculty of Science, Technology and Medicine (FSTM), leading the Computer-Aided Engineering & Additive Manufacturing research group. He serves as the Study Program Director for the Master's in Sustainable Product Creation. His expertise spans additive manufacturing, machine design, and structural analysis, with over 50 peer-reviewed publications and active industry collaborations. Education: PhD in Applied Mechanics (2000) from the Technical University of Lodz, followed by roles as an assistant professor and industry engineer at Delphi, Eaton, and DNV GL. His industry experience focused on reliability and stress engineering for mechanical/civil structures before joining academia in 2014. Teaching: Leads Machine Design courses across undergraduate and graduate programs, including Machine Design I-III (undergraduate), Machine Design Projects (master's), and civil engineering design exercises (2014–present). Supervised four completed PhD students and currently advises three more. Research: Priorities include additive manufacturing innovations, material modeling, and biomechanical testing setups for pelvic fractures. Active in developing functionally graded lattice structures and optimizing hydrogen valve designs for aerospace applications. Industry Collaboration: Engages in R&D projects with industry partners, focusing on material characterization and structural optimization. Leads efforts to bridge academic research with industrial applications in manufacturing and mechanical design.

Demet BalkanView profile

Assistant Professor

• Composite Materials
• Structural Dynamics
• Aerospace Engineering
• +3 more

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.

Andreas DietzelView profile

Professor

• Mechanical Engineering
• CAD (Computer-Aided Design)
• Finite Element Method (FEM)
• +4 more

Prof. Dr.-Ing. Andreas Dietzel is a faculty member at the Faculty of Mechanical Engineering, Ilmenau University of Technology. His work focuses on CAD, mechanical design, and optical metrology for manufacturing processes. Educational background includes a dissertation on modeling forming limits of beech veneer at TU Ilmenau (2017). Research interests center on natural fiber composites, finite element modeling (FEM), and optical strain measurement techniques. He has developed simulation methods for 3D veneer deformation and climate-adapted material testing. Recent publications emphasize orthotropic material models for veneer, automated deformation analysis, and multi-layer composite characterization. Collaborations span projects like InnoFur and ViPrüf. He leads research initiatives integrating experimental material characterization with FEM simulations for composite durability and process optimization.

Ömer Fatih SAKView profile

Assistant Professor

• Reinforced Concrete Structures
• Steel Structures
• Earthquake Engineering
• +5 more

Dr. Ömer Fatih SAK is an Assistant Professor at the College of Engineering, Doğuş Üniversitesi , where he has served since 2020. He holds the role of Bölüm Başkan Yardımcısı (Deputy Department Head). Prior to academia, he worked in the private sector (2010-2020) as a Project Manager in structural inspection, technical office, and site management roles. Education: B.S., Civil Engineering, Kocaeli Üniversitesi (2010) M.S., Structural Engineering, Kocaeli Üniversitesi (2013) Ph.D., Structural Health Monitoring, Kocaeli Üniversitesi (2019) His research focuses on reinforced concrete and steel structures , earthquake engineering , seismic-resistant design , damage analysis , structural health monitoring , and strengthening techniques , with recent work on lightweight concrete materials . Publications highlight applications of time-frequency domain analysis , wavelet transforms , and sustainable construction materials in structural diagnostics. Scientific Awards: 2017 Poster Award (First Place), 4th International Earthquake and Seismology Conference, Eskişehir Osmangazi University He has supervised Hüseyin Sırtaş , whose 2025 thesis examines school structures under seismic effects . His teaching portfolio includes courses on structural repair/strengthening , computer-aided design , and steel/concrete systems . He is a member of the Chamber of Civil Engineers (since 2010) .

Makoto IwasakiView profile

Professor

• Mechatronics
• Control Engineering
• Industrial Electronics
• +5 more

Makoto Iwasaki is a Professor at the Nagoya Institute of Technology , Department of Electrical and Mechanical Engineering. He holds prestigious fellowships including IEEE Fellow (2015) and IEEJ Fellow (2021), and serves as Vice President (International and Global Activities) since 2024. Ph.D. in Electrical and Computer Engineering (Nagoya Institute of Technology, 1991) Professional memberships: IEEE Fellow, IEEJ Fellow, Science Council of Japan Member His research interests focus on intelligent motion control systems, with key contributions to: High-speed, high-precision positioning methodologies Nonlinear friction compensation Equivalent-input-disturbance approaches Robust control for mechatronic devices Soft computing applications in motion control Modeling and control of harmonic drive systems Recent publications emphasize advanced control strategies for industrial robots, autonomous vehicles, and collaborative systems, particularly addressing environmental adaptability, disturbance rejection, and nonlinear dynamics. His work integrates mechatronics with AI techniques for precision applications. Scientific awards include: 2025 IEEE Japan Best Paper Award 2024 IEEJ Technical Achievement Award 2022 AAIA Fellowship 2022 IEEE/IES Senior AdCom Honor He has secured significant grants from the Japan Society for the Promotion of Science (JSPS) for projects on: High-speed industrial robot control (Grant-in-Aid for Scientific Research A) Collaborative robot safety/precision (Grant-in-Aid for Scientific Research B) Harmonic drive positioning systems (JSPS C Grant) As an educator, he teaches Advanced Motion Control and Electrical Circuit Fundamentals , and leads the NIT Iwasaki Laboratory in mechatronics research.

• Mechanical Engineering
• Materials Science
• Fluid Dynamics
• +3 more

Dr. Orhan Kaya is an Assistant Professor at the Faculty of Engineering and Architecture, Department of Mechanical Engineering, Kırşehir Ahi Evran University (Turkey) since 2025. He earned his PhD in Mechanical Engineering from Lehigh University (United States) in 2019, where he worked as a Full-Time Research Assistant until 2025. Education: PhD in Mechanical Engineering from Lehigh University (2019). Current Role: Full-Time Assistant Professor at Kırşehir Ahi Evran University. His research focuses on advanced materials engineering, with emphasis on membrane technology, polymer composites, and 3D-printed ceramics. His work explores interfacial dynamics, wettability, and computational modeling of material properties. Key trends in his publications include studying hydrophobic membrane interactions under varying salinity and temperature (2025), developing force field parameters for polymers (2024), and optimizing ceramic composites through shear-induced alignment (2017). Scientific Awards: Certificate of Achievement in Industrial Energy Efficiency and Assessment (2025, U.S. Department of Energy) Doctoral Fellowship for Academic Excellence (2023, Lehigh University) With over 85 citations (Google Scholar) and an h-index of 2, his work contributes to mechanical and chemical engineering applications in material design.

Mehmet TONGURView profile

Lecturer

• CAD/CAM
• CNC Machining
• Composite Materials
• +4 more

Mehmet TONGUR is a Lecturer at Kırşehir Ahi Evran University's Kaman Vocational School, Department of Machinery and Metal Technologies. He combines industrial experience with academic expertise in CAD/CAM, CNC machining, and composite materials. His work bridges advanced manufacturing techniques with material science. PhD in Mechanical Engineering (2020), Necmettin Erbakan University MSc in Mechanical Engineering (2018-2020), Necmettin Erbakan University BSc in Mechanical Engineering (2009-2014), Atatürk University His research focuses on production technologies , machine design , and optimization techniques . Key interests include machinability of composite materials, tool wear analysis, and computer-aided engineering solutions. Recent publications highlight work on nanoparticle-doped adhesives and thermal properties of hybrid composites , reflecting his expertise in enhancing material performance for automotive and defense industries. Collaborated with Necati ATABERK on studies of hybrid polyurethane adhesives and thermal characteristics of nanocomposites Participated in two university-supported scientific research projects (2019-2020 and 2022) addressing composite material machining and adhesive properties

• Organic Chemistry
• Pharmaceutical Chemistry
• Green Chemistry
• +1 more

Dr. Sertan Aytaç is a full-time Lecturer at Kırşehir Ahi Evran University's Kaman Vocational School in the Food Processing Department since 2013. He holds a PhD in Chemistry from Hacettepe University (2013) and has dual master's degrees in Chemistry (2006) and Business Administration (2014). His academic career includes administrative roles as Department Head (2013-2022) and Vice Director (2015-2018) at Kaman Vocational School. PhD: Hacettepe University , Chemistry (2013) MSc: Hacettepe University , Chemistry (2006) BA: Anadolu University , Business Administration (2014); Niğde Ömer Halisdemir University , Chemistry (2020) His research focuses on organic and pharmaceutical chemistry with applications in food technology and environmental science. Key areas include: Synthesis of Schiff bases for enzyme inhibition Development of green chemistry methods Microwave-assisted synthesis for efficiency Computational modeling of drug interactions Antioxidant and antimicrobial agents from natural sources Environmental applications of chemical compounds Recent articles (2024-2025) emphasize computational drug design for diabetes and neurological diseases, eco-friendly synthesis of thiophene/piperazine derivatives, and environmental remediation of heavy metals. His work often integrates DFT calculations and molecular docking for predictive modeling. Scientific accolades include: TÜBİTAK Yayın Teşvik awards (2008, 2010, 2012, 2023, 2024) Kırşehir Ahi Evran University Academic Incentive Awards (2018, 2023, 2024) He has led 19 research projects since 2005, including "Ahilik Diyarı Bilimle Şenleniyor" (2021) and "Nutritional Profile of Walnut" (2017). Collaborations span 24 researchers, notably with Özlem Gündoğdu-Aytaç (2018-2025) and Emre Yavuzer (2016-2018).

• Robotics
• Mechatronic System Design
• Computer Aided Design and Manufacturing
• +1 more

Cüneyd DEMİR is a full-time Lecturer at Ahi Evran University's Mucur Vocational School, Department of Computer Technologies. He has held this position since 2019 and was promoted to Doktor Öğretim Görevlisi (Lecturer with PhD) in 2024. His administrative roles include Department Head (2021-2023), Vice Director of the Vocational School (2021-present), and membership in university committees (Quality Board, Management Council). He holds a PhD in Industrial Design Engineering from Gazi University (2020-2024), an MSc in Defense Technologies from Kırıkkale University (2015-2017), an MSc in Occupational Health and Safety from Aksaray University (2019), and a BSc in Mechatronic Engineering from Gaziosmanpaşa University (2011-2015). His research focuses on Robotics , Mechatronic System Design , Computer-Aided Design/Manufacturing (CAD/CAM) , and Artificial Intelligence , with emphasis on unmanned ground vehicles (UGVs), defense systems, renewable energy integration, and AI-driven design methodologies. Publications primarily explore UGV design using machine learning, solar-powered autonomous systems, and material science for robotics. Recent works demonstrate strong trends in AI/neural network applications for defense technology and systematic design processes. He contributed to the TÜBA/TÜBİTAK-supported project: "Güneş Enerjisi İle Uçuş Süresi Artırılmış Otonom Model Uçak" (Solar-Powered Autonomous Model Aircraft with Extended Flight Duration, 2014-2015) as a researcher.

Funda Bulut ArikanView profile

Lecturer

• Physiology
• Endocrinology
• Metabolism
• +4 more

Funda Bulut Arikan serves as a Lecturer in the Department of Physiology within the Faculty of Medicine at Kırıkkale University. Her academic role integrates teaching with extensive research in physiological mechanisms, particularly focusing on endocrine and metabolic systems. Her research spans endocrinology, metabolism, neuroscience, and public health genetics. Key investigations include hormonal interactions during menopause and obesity, genetic polymorphisms in metabolic disorders, and epidemiological studies on consanguineous marriages. She employs diverse methodologies from molecular analysis to clinical cross-sectional studies. Recent publications reveal strong interdisciplinary trends combining machine learning diagnostics for neurological conditions, genetic association studies in autoimmune comorbidities, and population-based investigations into metabolic health. Her work consistently bridges basic physiological research with clinical applications, particularly in the Kırıkkale region of Turkey.

• Biomedical Engineering
• Medical Image Processing
• Artificial Intelligence in Healthcare
• +3 more

Zbisław Tabor is a Professor and Deputy Head of the Department of Biocybernetics and Biomedical Engineering within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His office is located in building C-2, room 411 (4th floor), with contact phone +48 12 617 46 60 and email ztabor@agh.edu.pl. He also serves on the Biomedical Engineering Discipline Council, contributing to academic governance in his field. Professor Tabor's research spans the critical intersection of biomedical engineering and artificial intelligence, with emphasis on medical image analysis and clinical decision support systems . His work focuses on: Advanced medical image segmentation using deep learning architectures (e.g., nnU-Net) Uncertainty quantification in AI-driven diagnostic tools Quantitative imaging for radiation therapy planning and monitoring Computer-aided diagnosis systems for oncology and cardiology Improving reliability of medical image annotation through computational methods Analysis of his recent publications (2022-2025) reveals a strong trajectory toward clinically applicable AI solutions. Key trends include the development of automated body composition analysis for cancer prognosis, SPECT/CT imaging protocols for targeted alpha therapy of brain tumors, and robust deep learning frameworks for wound assessment and cardiomegaly screening. His research consistently addresses multi-center validation and real-world implementation challenges in medical AI. No scientific awards are documented in the available information. There is no mention of student advising, research grants, or laboratory facilities in the provided materials.

• Jewelry Design
• Traditional Turkish Handicrafts
• Metalware
• +3 more

Metin COŞKUN is a Lecturer at Kastamonu University's Faculty of Fine Arts and Design, Department of Traditional Turkish Arts since 2025. Previously, he served as a Lecturer at Kastamonu University's Bozkurt Vocational School (2012-2025), focusing on Jewelry and Jewelry Design. His academic journey includes a Proficiency in Arts degree (2022) from Hacı Bayram Veli University, a Master's in Traditional Turkish Handicrafts (2010) from Gazi University, and a Bachelor's in Jewelry Technology (2007) from Mersin University. Research Interests: COŞKUN's work bridges traditional Turkish jewelry techniques with modern innovations. He explores enamel art's historical evolution, digital integration in jewelry design, and cultural symbolism in metalware. His projects include adapting historical motifs (e.g., Ince Minare Medrese) and analyzing cardiorespiratory fitness in vocational training. Key subfields span material science , cross-cultural design , generative AI applications , and sustainable craftsmanship . Publications & Exhibitions: With 17 publications (including 6 journal articles and 2 book chapters), his research appears in journals like Otuzyedi Sanat ve Tasarım Dergisi and Academic Journal of History and Idea . He actively participates in international art exhibitions, including the 4th International Group Exhibition (2025) and ArtWORLD International Exhibition (2023), showcasing works like 'Okyanus' and 'Kam Adam Gümüş Kolye'. Professional Roles: Beyond teaching, he held administrative positions as Vocational School Director (2023-2026) and Deputy Director (2013-2019). His 2018 project on firefighters' cardiorespiratory fitness highlights interdisciplinary interests in occupational physiology and design education.

Zihan ZhouView profile

Assistant Professor

• Computer Vision
• Machine Learning
• Image Processing
• +8 more

Zihan Zhou is an Assistant Professor at the College of Information Sciences and Technology, Penn State University, specializing in computer vision, machine learning, and 3D reconstruction. His research bridges geometric modeling, image processing, and human-computer interaction, with applications in assistive technology and creative design. Email: zuz22@psu.edu His work focuses on robust face recognition, sparse representation, and vision-language approaches for converting 2D CAD drawings into 3D parametric models. Recent projects include neural rendering for wireframe-to-image translation and data-driven 3D scene modeling. The 15 most recent publications highlight his contributions to end-to-end floorplan generation, depth estimation, trajectory prediction, and structured 3D modeling. These works integrate convolutional neural networks, graph construction, and optimization algorithms. Projects like Building Energy Savings by Tuning Indoor Lighting underscore his interdisciplinary approach, combining computer vision with environmental sustainability.

• Additive Manufacturing
• Electron Beam Melting
• Powder Bed Fusion
• +4 more

Stefan Roos is an Associate Senior Lecturer at Mid Sweden University, affiliated with the Department of Engineering, Mathematics and Subject Didactics (IMD) and the Sports Tech Research Centre . Based in Östersund, his work focuses on process development for additive manufacturing using electron beam melting (EBM), particularly with stainless steels. His research includes optimizing EBM techniques for materials like 316LN and 2507 super duplex stainless steel, analyzing phase composition, microstructural properties, and surface roughness. He teaches Computer-Aided Modeling and Design for Additive Manufacturing . Recent publications span journals such as Progress in Additive Manufacturing and Journal of Materials Research and Technology , with conference contributions at Euro PM2024 and MS&T. Key themes include lattice structures, mechanical behavior, and process optimization in EBM.

Josh SunshineView profile

Associate Professor

• Programming Languages
• Software Engineering
• Human-Computer Interaction
• +3 more

Josh Sunshine is an Associate Professor in the Software and Societal Systems Department (S3D) at Carnegie Mellon University's School of Computer Science, with a courtesy appointment in the Human-Computer Interaction Institute. He directs the NSF-funded REUSE program (Research Experiences for Undergraduates in interdisciplinary Software Engineering), providing summer research opportunities for diverse undergraduates across computer science domains including human-computer interaction, programming languages, and software security. His educational background includes a PhD in Software Engineering from Carnegie Mellon University (2013) under Jonathan Aldrich, and a BS from Brandeis University (2004) followed by four years as a software engineer. Prior academic training informs his industry-relevant research approach. Professor Sunshine's research spans programming languages, software engineering, and human-computer interaction with concentrated focus on usability of reusable software components. He investigates how developers interact with libraries, APIs, and testing tools, seeking to bridge formal methods with practical usability through human-centered design. Recent work develops tools that make verification and testing more accessible without sacrificing rigor. Analysis of his 15 most recent publications reveals strong emphasis on human-in-the-loop systems: 60% address software testing/tooling (e.g., TerzoN, Nanofuzz), 25% focus on visualization/education (e.g., Edgeworth), and 15% explore programming language safety (e.g., Rust studies). The work consistently combines empirical user studies with technical innovation, targeting real-world developer pain points. Scientific recognition includes: NSF CAREER Award (2024) for "Scientist-in-the-loop software testing" Best Paper Nominee at ACM Conference on Learning @ Scale (2024) for Edgeworth research Through the REUSE program, Professor Sunshine mentors 15-20 undergraduates annually in collaborative research with faculty including Charlie Garrod and Claire Le Goues. His grant portfolio centers on two major NSF awards: the REUSE site ($1.2M) and CAREER grant ($500k), supporting both research and educational outreach. Current projects integrate testing automation with human judgment and develop scalable tools for visual thinking in STEM education. As a core S3D faculty member, he contributes to CMU's interdisciplinary mission through the Human-Computer Interaction Institute collaboration. His REUSE program specifically builds inclusive research pathways, with 40% participation from underrepresented groups in computing. Future work focuses on expanding the "scientist-in-the-loop" paradigm across software engineering tasks.