جست‌وجوی استاد و پژوهشگر

Rachael Elizabeth Naoumمشاهده پروفایل

عضو هیئت علمی

• Computer-Aided Design (CAD)
• 3D Printing
• Textiles Engineering
• +۳ مورد دیگر

Rachael Elizabeth Naoum is a part-time Adjunct Teaching Professor in the Mechanical & Materials Engineering department at Worcester Polytechnic Institute (WPI). Her full-time role is as a Product Definition Engineering Manager in SOLIDWORKS R&D at Dassault Systèmes, where she develops the software she teaches. She holds a BS (2018) and MS (2020) in Mechanical Engineering from WPI. Her research focuses on SOLIDWORKS applications, 3D printing innovations, and textiles engineering. Notable work includes a 2018 publication on prosthetic arm design using affordable rapid prototyping. She is a Certified SOLIDWORKS Expert (CSWE) and Trainer, and actively promotes STEM education through programs like the MassRobotics Jumpstart Fellowship for high school students. Rachael teaches ES 1310: Introduction to Computer-Aided Design at WPI, emphasizing design intent, orthographic thinking, and mechanical motion comprehension. Her dual role bridges academic instruction with industry software development, creating a unique feedback loop for educational tools.

• Mechanical Engineering Technology
• STEM Education
• Engineering Graphics
• +۷ مورد دیگر

Todd Alberts is a Senior Instructor in the Department of Mechanical Engineering Technology at Indiana State University, within the Bailey College of Engineering & Technology. He is actively engaged in teaching, student advising, and industry collaboration, with a strong commitment to applied engineering education and student success in STEM fields. Education: M.S. in Industrial Technology, Indiana State University (2007) B.S. in Mechanical Technology, Indiana State University (2005) A.S. in Computer Aided Design and Manufacturing, IVY Tech State College (1998) His research and professional interests focus on mechanical engineering technology , STEM education , computer-aided design (CAD) , and student success in technical majors . His work emphasizes experiential learning, industry partnerships, and curriculum development in applied engineering. He has presented on student perspectives in STEM and transfer pathways between institutions. Todd Alberts has been recognized with several awards for teaching, advising, and community engagement by the College of Technology at Indiana State University. College of Technology Outstanding Community Engagement Award (April 2022) College of Technology Excellence in Advising Award (May 2021) College of Technology Faculty Teaching Award (May 7, 2019) Student Organization Of The Year (April 2015) He has served as a faculty advisor for the ASME Student Organization and has led numerous STEM outreach initiatives, including organizing ASME Hoosier Prairie STEM Days and serving on university committees related to teaching and career services. He has also engaged in consulting with various industrial firms across Indiana and neighboring states, applying his expertise in mechanical engineering and design. Alberts has secured substantial grant funding as both principal and co-principal investigator from sponsors such as the International Corrugated Packaging Foundation, Trayak, PMMI, and corporate partners like North American Lighting and Arrow Packaging Solutions. These grants support student programs, software acquisition (e.g., Creo 3D), career immersion, and industry exposure events like PackExpo. He holds professional certifications as a Certified Engineering Graphics and Certified Technical Professional through the Association of Technology Management and Applied Engineering (ATMAE), reflecting his commitment to maintaining industry-relevant skills and standards in engineering technology education.

Daniel Waldorfمشاهده پروفایل

استاد

• Metal Cutting Process Modeling
• Tool Wear
• Cutting Tool Design
• +۷ مورد دیگر

Dr. Daniel Waldorf is a Professor and currently serves as the Department Chair of the Industrial and Manufacturing Engineering (IME) Department at California Polytechnic State University (Cal Poly), within the College of Engineering. He has been a faculty member since 1998 and plays a key leadership role in academic administration and curriculum development. His research spans several critical areas in modern manufacturing, including metal cutting process modeling , tool wear analysis , cutting tool design , dimensional metrology , and smart manufacturing . Additionally, he is deeply engaged in engineering education , focusing on teaching innovation, assessment, and curriculum design. His expertise bridges both industrial practice and academic instruction. Dr. Waldorf has developed and taught core courses such as manufacturing process design, computer-aided manufacturing, tool engineering, quality engineering, metrology, and reliability. His work integrates practical engineering experience with academic rigor, shaped by his prior industry role as a Quality/Manufacturing Engineer at ATF, Inc. He earned his Ph.D. in Industrial Engineering from the University of Illinois at Urbana-Champaign in 1996 and is a licensed Professional Engineer (PE). His leadership in the IME department since being elected Chair in 2016 reflects his ongoing contributions to academic governance and program advancement. Ph.D. in Industrial Engineering, University of Illinois at Urbana-Champaign (1996) There are no listed scientific awards or publications in the provided text. However, his sustained involvement in teaching improvement initiatives and departmental leadership suggests a strong commitment to academic excellence. He advises students within the IME program, though specific names are not mentioned. No information indicates he holds a part-time appointment or has retired. Dr. Waldorf is affiliated with the Industrial and Manufacturing Engineering Department at Cal Poly, where he contributes to laboratory instruction, curriculum development, and likely oversees research labs related to manufacturing and metrology, though specific lab names or team structures are not detailed in the source material.

Junpeng Wangمشاهده پروفایل

پژوهشگر ارشد

• lightweight structural design
• structural optimization
• scientific visualization
• +۵ مورد دیگر

Dr. Junpeng Wang is a Postdoctoral Researcher (since June 2023) in the Chair of Computer Graphics and Visualization at the Technical University of Munich, working under Prof. Rüdiger Westermann. Previously, he completed his PhD at the same institution from November 2018 to June 2023. His research focuses on lightweight structural design and optimization with geometry-based approaches, as well as scientific visualization of tensor and mesh data. Wang's research interests span lightweight structural design , structural optimization , and scientific visualization . His work integrates computational mechanics with computer graphics to develop novel methods for stress analysis, lattice structure optimization, and 3D data visualization. His research has practical applications in mechanical engineering, additive manufacturing, and scientific data analysis. His publication portfolio shows a strong trend toward integrating machine learning with traditional computational mechanics methods, particularly in the areas of 3D Gaussian Splatting and neural data structures. Wang has developed the 3D-TSV (3D Trajectory-based Stress Visualizer), a significant tool for exploring principal stress directions in 3D solids under load, which has been published in Advances in Engineering Software (2022). Wang serves as a reviewer for prestigious journals including IEEE Transactions on Visualization and Computer Graphics (TVCG), Computer Methods in Applied Mechanics and Engineering (CMAME), Journal of Mechanical Design (JMD), Optics Express (OPTE), Computer-Aided Geometric Design (CAG), and Shape Modeling International Conference (SPM[C]). His collaborative work primarily involves Prof. Rüdiger Westermann at TUM and Jun Wu at other institutions, demonstrating strong interdisciplinary connections between computer graphics and mechanical engineering research groups.

• Additive Manufacturing
• Wire Arc Additive Manufacturing (WAAM)
• Computer-Aided Design and Manufacturing
• +۴ مورد دیگر

Prof. OĞUZHAN YILMAZ is a Professor in the Department of Mechanical Engineering at Gazi University's Faculty of Engineering. He holds a Ph.D. from The University of Nottingham (2006) and has extensive experience in additive manufacturing, non-traditional manufacturing methods, and advanced manufacturing processes. He leads the Advanced Manufacturing Technologies Research Group (AMTRG) and serves as Editor-in-Chief of the Gazi University Journal of Science (SCI-E indexed). His research focuses on additive manufacturing technologies such as WAAM, laser processing, and material characterization. Education: - Ph.D. (2006): University of Nottingham, School of Mechanical, Materials and Manufacturing Engineering - M.Sc. (1999): Gaziantep University, Mechanical Engineering - B.Sc. (1997): Gaziantep University, Mechanical Engineering Research Interests: His work spans additive manufacturing (e.g., WAAM, electron beam melting), surface finishing techniques (laser polishing, electrochemical machining), and material characterization of alloys like Ti-6Al-4V and INCONEL. He explores thermal behavior, microstructural transformations, and mechanical properties in AM processes. Recent Article Trends: Recent publications emphasize thermal modeling in WAAM, surface integrity of additively manufactured parts, and post-processing techniques like laser shock processing. Key applications include aerospace and defense industries. Grants & Roles: - Executive of TÜBİTAK-funded projects on additive manufacturing for defense and aerospace. - Co-chair of AMCTURKEY conferences (2019, 2021). - Board member of Turkish Additive Manufacturing Association (TAMA). Labs/Teams: He oversees the Advanced Manufacturing Technologies Research Group (AMTRG), focusing on R&D in additive manufacturing, material processing, and advanced manufacturing systems.

• Mechanical Engineering
• Machine Design
• Computer Aided Design and Manufacturing
• +۶ مورد دیگر

Olcay Ersel Canyurt is a Full Professor at the Department of Mechanical Engineering, Faculty of Engineering, Gazi University. He holds a PhD from Rensselaer Polytechnic Institute (RPI) and has conducted research at General Motors and Advanced Innovative Technology (AIT). He has served as Associate Professor (2007) and Full Professor (2013) at Pamukkale University before joining Gazi University in 2018. Currently, he is Vice Director of the Additive Manufacturing Technologies Application and Research Center (EKTAM). Education: BSc (Gazi University, 1992), MSc (Northeastern University, 199?), PhD (Rensselaer Polytechnic Institute, 2003) Research focuses on composite materials, mechanical property analysis, rocket warhead design, and advanced manufacturing technologies. He coordinated TÜBİTAK projects on composite materials and served as Editor of Pamukkale University Engineering Sciences Journal (PAJES), contributing to its WOS-ESCI indexing. Active in collaborative projects including EU Horizon 2020, TÜBİTAK Industry Doctorate Programs, and defense industry partnerships. Served on TUBITAK Machinery Manufacturing Technologies Advisory Board (2016–2019). Professional roles include Vice Coordinator of Gazi University Research and Development Institution (2019–2020) and project leadership in Additive Manufacturing and Industry Innovation Networks.

Titus Zahariaمشاهده پروفایل

استاد

• Computer Vision
• 3D Point Cloud Compression
• Neural Networks
• +۵ مورد دیگر

Titus Zaharia is a Professor at Telecom SudParis, affiliated with the SAMOVAR research department. His work focuses on computer vision, 3D data compression, neural networks, and augmented reality applications. He has contributed extensively to standards like MPEG-4 and MPEG-7, particularly in 3D mesh compression and multimedia indexing. Zaharia leads research in assistive technologies for visually and hearing-impaired individuals, developing systems like DEEP-HEAR and wearable devices for navigation assistance. His work bridges theoretical advancements with practical industrial applications, such as optimizing AR systems for manufacturing and improving public transportation prediction through machine learning. Zaharia has collaborated on projects like the INVENIO platform for content reuse in multimedia production, and his contributions span over 20 years of academic and applied research. Key research areas include dynamic point cloud compression, lightweight neural network libraries (e.g., FasterAI), and multimodal fusion for video advertising and accessibility. He has published over 100 peer-reviewed papers in journals like IEEE Access and Image and Vision Computing, and presented at conferences including CVPR, ICCV, and ISMAR. His research emphasizes real-world impact, addressing challenges in efficient data representation, human-centric technology, and industrial automation.

Kamal Rezkمشاهده پروفایل

مدرس ارشد

• Computational Fluid Dynamics (CFD)
• Environmental Engineering
• Energy Systems Optimization
• +۶ مورد دیگر

Kamal Rezk is a Senior Lecturer in Environmental and Energy Systems Research at Karlstad University, Sweden. His academic journey includes roles such as Lecturer (2011), Associate Senior Lecturer (2014–2020), and his current Senior Lecturer position since 2020. He holds a PhD in Environmental and Energy Systems from Karlstad University (2014), a Licentiate of Engineering (2010), and prior industry experience as a Blade Designer at Kongsberg Maritime (2019) and Rolls Royce Marine (2017). His research focuses on computational fluid dynamics (CFD) modeling for optimizing energy and environmental systems, particularly in heat/mass transfer, dewatering processes in papermaking, and wastewater oxygenation. Teaching spans fluid mechanics, systems analysis, and computational methods at undergraduate and graduate levels, with annual supervision of bachelor’s and master’s theses. Rezk’s publications (2007–2024) emphasize CFD applications in industrial processes, including bubble column oxygen transfer, paper drying simulations, and heat exchanger design. His work bridges academic research with practical industry challenges, emphasizing energy efficiency and sustainability.

Cristóbal Curioمشاهده پروفایل

استاد

• Cognitive Architectures
• Deep Learning
• Computer Vision
• +۳ مورد دیگر

Prof. Dr.-Ing. Cristóbal Curio is a Professor of Cognitive Systems at the Faculty of Informatics, Reutlingen University since 2014. He also serves as Prodekan for Research. His academic career includes roles at Max Planck Institute for Biological Cybernetics (2004-2013) and Ruhr-University Bochum. Research focuses on cognitive architectures, deep learning, and experimental methodologies applied to robotics, computer vision, and biomedical engineering. Key projects include EU-funded HEIDI and AIDA initiatives, and BMBF KI Delta Learning. Education: 1992-1998: Electrical Engineering and Computer Science degrees at Ruhr-University Bochum and Purdue University 1998-2003: PhD in Computer Science, Ruhr-University Bochum 2014: Habilitation, University of Tübingen Teaching: Courses include Cognitive Systems (Master's), Advanced Image Processing, and Applied Artificial Intelligence. Labs: Leads the Angewandte Künstliche Intelligenz and Ambient Assisting Cloud Lab . Research interests span cognitive systems, neural networks, and human-centric computing with applications in healthcare and autonomous systems. Active in EU and national research programs, publishing extensively on topics like robotic pose estimation, medical image analysis, and human-robot interaction.

• Digital Manufacturing
• Rapid Prototyping
• Computer-Aided Design (CAD)
• +۷ مورد دیگر

Richard Glithro is a Lecturer in Digital Manufacturing and Engineering at Bournemouth University, Faculty of Science and Technology, Department of Design and Engineering. He is actively involved in teaching, research, and consultancy, bridging digital design with practical engineering applications. Education: BSc (Hons) in Computer Aided Product Design, Bournemouth University (2006) His research interests center on digital manufacturing, rapid prototyping, CAD, 3D printing, and the integration of virtual reality and AI in design education. He explores the mechanical behavior of additively manufactured materials, especially in medical applications such as prosthetics, and investigates innovative teaching methodologies using immersive technologies. His work emphasizes practical implementation, student engagement, and real-world problem solving. The recent publications reflect a strong trend in applying additive manufacturing to biomedical devices, particularly pediatric and athletic prosthetics, as well as leveraging AI and VR to enhance creative and technical design education. His interdisciplinary work spans engineering, healthcare, and pedagogy. Scientific Awards: Vice-Chancellor's Staff Award - Professional Practice Award, Bournemouth University (2020) Richard Glithro has secured multiple research grants, including projects on 3D-printed prosthetic sockets, material analysis of composite 3D-printed materials, and development of arm prostheses for paracyclists. He supervises and collaborates on student projects, though no formal advisees are listed. He is actively involved in undergraduate teaching across industrial design, product design, and engineering programs, contributing to modules in design communication, engineering mathematics, and digital design tools. He is part of research teams focused on digital fabrication and educational innovation, collaborating with colleagues in engineering, nursing, and design. His work continues to push the boundaries of how digital tools are applied in both education and healthcare.

Antra Ragauskaمشاهده پروفایل

دانشیار

• Ceramic materials in dentistry
• Dental prosthetics
• Esthetic restorative materials
• +۶ مورد دیگر

Antra Ragauska is an Associate Professor in the Department of Prosthetic Dentistry at the Faculty of Dentistry, Rīga Stradiņš University (RSU). She has been actively involved in academic and clinical work since 1999, contributing to dental education and research in prosthetic dentistry. Her professional roles include teaching, research supervision, and clinical practice at private clinics such as SIA Adenta and SIA ARK. She also served as a researcher at Riga Technical University from 2010 to 2011. Her educational background includes a Dr. med. degree from Rīga Stradiņš University (2004–2009), a specialty in Prosthodontics (1996–1999), and a Dentist’s Diploma from the Latvian Academy of Medicine (1991–1996). Antra Ragauska’s research focuses on ceramic materials in dentistry , particularly ceramic inlays/onlays and composite fillings , with emphasis on aesthetic restorations, bonding interfaces, and the application of CAD/CAM technologies. Her work bridges clinical dentistry with material science, aiming to improve the longevity and aesthetics of dental prostheses. The analysis of her recent publications reveals a consistent focus on comparing ceramic and composite restorative materials, evaluating zirconia-based crowns, and investigating bonding interfaces using advanced techniques like SEM. Her research contributes to evidence-based practices in restorative and prosthetic dentistry. Silver Medal of Latvia for graduation of Riga Secondary School No 25 (1991) She has supervised one bachelor’s thesis and six scientific research works, while also reviewing doctoral theses and scientific publications. Her involvement in multiple research projects, including those funded by the European Social Fund and RTU, highlights her collaborative and interdisciplinary approach. She is an active member of the Latvian Dental Association and regularly participates in national and international dental conferences. Antra Ragauska contributes to several academic courses, including Preclinical Course in Prosthetic Dentistry , Prosthetic Dentistry , and Esthetic Reconstruction in Prosthodontics . Her continued professional development is evident through numerous certificates in implantology, esthetic dentistry, and pedagogical skills.

• Knowledge-Based Engineering (KBE)
• Advanced Manufacturing Systems
• IoT and Industry 4.0
• +۵ مورد دیگر

Andrei Lobov is an Associate Professor at the Department of Mechanical Engineering and Manufacturing, Faculty of Engineering at NTNU. His research focuses on Knowledge-Based Engineering (KBE), advanced manufacturing systems, IoT integration, and robotics automation. He has extensive experience in developing ontology-based solutions for CAD integration, industrial robotics programming, and human-robot collaboration systems. His work emphasizes interoperability, sustainability, and digital thread implementation across engineering domains. Key research areas include parametric design automation, semantic web applications in engineering, and IoT-driven environmental systems. Recent projects involve optimizing warehouse systems using modular Petri nets, smart textile waste management, and AI-enhanced bearing condition monitoring. He has supervised doctoral research such as Yu Wang's thesis on acoustic emission-based bearing monitoring. Lobov actively publishes in journals like Advanced Engineering Informatics and The International Journal of Advanced Manufacturing Technology. His work bridges theoretical KBE frameworks with practical industrial applications, contributing to both academic conferences (IEEE, AIP) and industry-focused forums. He has organized international conferences like the IEET series and presented at venues such as Nor-Fishing 2024 on digital twin applications in fisheries.

Jun Wuمشاهده پروفایل

دانشیار

• Computational Design
• Digital Fabrication
• Topology Optimization
• +۷ مورد دیگر

Jun Wu is an Associate Professor in the Department of Sustainable Design Engineering at Delft University of Technology (TU Delft), Faculty of Industrial Design Engineering, where he has been a tenure-track faculty member since 2016 and was promoted to Associate Professor in August 2022. He holds two PhDs: one in Computer Science from Technische Universität München (2015) and another in Mechanical Engineering from Beihang University (2012). Prior to TU Delft, he was an HC Ørsted Postdoctoral Fellow at DTU Denmark. Research Interests: His research lies at the intersection of computational design, digital fabrication, and structural optimization. He specializes in topology optimization (generative design) for additive manufacturing, with a focus on space-time optimization, stress-constrained design, multi-material lattices, and bio-inspired infill structures. His work bridges mechanical engineering, computer graphics, and materials science to create high-performance, lightweight, and printable structures. Recent Research Trends: His most recent publications (2023–2025) demonstrate a strong trend toward integrating physical constraints—such as residual stress, thermal distortion, and manufacturability—into topology optimization frameworks. He is pioneering space-time optimization for multi-axis additive manufacturing, developing methods for stress-aligned lattices, and exploring differentiable microstructures. His interdisciplinary work spans biomedical implants, soft robotics, and educational tools for design. Scientific Awards: Frontiers of Science Award, International Congress of Basic Science (2023) 2023 ISSMO Haftka Young Investigator Award 2021 SMA Young Investigator Award Best Paper Award (2nd place), SPM 2019 ISSMO/Springer Prize (2020) Multiple ESI Highly Cited Papers Advising and Grants: He leads a vibrant research group with numerous PhD students and postdocs. In 2023, he was awarded a Vidi grant from the Dutch Research Council (NWO) for his project on Space-time optimization for additive manufacturing . He has also secured funding under the Dutch Research Agenda (NWA) for the project AM4Micro . He actively mentors PhD candidates and has co-organized the IDEA League summer school on Computational Design for Additive Manufacturing since 2020. Labs and Teams: He is affiliated with the Computational Design Lab at TU Delft and is the initiator and convener of the TOP Webinar series since 2020, fostering global collaboration in topology optimization. He serves on the editorial boards of Computer-Aided Design and Structural and Multidisciplinary Optimization , and has been a program committee member for major conferences including SPM, CGI, and CVM.

• Fatigue Crack Propagation
• Tribology
• Powder Metallurgy
• +۶ مورد دیگر

Professor Kamran Tabeshf at Bournemouth University specializes in materials engineering, with a career spanning over four decades. His research focuses on fatigue crack propagation, tribology, powder metallurgy, and thermal storage systems. PhD in Mechanical Engineering (University of Southampton, 1974) Key research areas include: Advanced material testing under extreme conditions Innovations in rotational molding and composite design Development of e-learning platforms for risk management Scientific contributions show trends in: Metals and polymers under mechanical stress (1974-2023) Computational tools for material selection Thermal energy storage optimization Awards and professional memberships: Fellow of The Royal Society of Arts and Manufacture (2005-) Member of The Engineering Council (1982-) Member of The Institute of Materials, Minerals and Mining (1982-)

Markus Dongaمشاهده پروفایل

استاد

• Mechanical Engineering
• Computer-Aided Design
• Machine Elements
• +۴ مورد دیگر

Prof. Dr. Markus Donga is a full-time Professor at Ruhr West University of Applied Sciences, affiliated with the Department of Mechanical Engineering. He joined the university in May 2010 after extensive industry experience in the packaging sector. Prior to academia, he served as Head of Development and Design and held executive authority as sole authorized signatory at a medium-sized packaging company. He completed his Mechanical Engineering studies at Ruhr University Bochum, followed by two doctorates: one in Packaging Logistics from the University of Dortmund (Faculty of Mechanical Engineering) and another in Economics from the University of Dortmund (Faculty of Economics and Business Administration). His research focuses on Machine Elements , CAD/Construction , Product Development , and Economical Small-Series Production . Specific innovations include applications of 3D-CAD in packaging design, reverse engineering methodologies, and finite element analysis for structural optimization in manufacturing. Publications demonstrate sustained expertise in packaging logistics and computational engineering , with recurring themes of CAD integration, structural simulation (FEM), and technical-economic optimization in packaging systems from 1998-2008.