جست‌وجوی استاد و پژوهشگر

• Digital Dentistry
• CAD/CAM Technology Integration
• Dental Education Curriculum Development
• +۲ مورد دیگر

Stephen Dunn serves as a Lecturer within the Dental School at the University of Glasgow, actively contributing to dental education through innovative technology integration. His work focuses on modernizing dental curricula with digital workflows and CAD/CAM systems. His research interests center on digital dentistry education, particularly the implementation of CAD/CAM technology in pre-clinical training and curriculum development. Dunn pioneers staff-student partnerships to co-create e-learning resources and integrate digital workflows into professional dental programs, addressing challenges in technology adoption and conceptual understanding of removable partial denture design. Dunn's publication record demonstrates consistent exploration of digital dental education trends since 2019, with increasing emphasis on collaborative curriculum innovation and student-centered digital resource development. His recent 2024-2025 work highlights strategic approaches to digital workflow integration in professional degree programs. No scientific awards were documented in the provided materials Dunn frequently collaborates with Robert McKerlie and other dental education specialists on technology-enhanced learning initiatives. His work involves partnerships with students to develop educational resources and implement digital workflows, though specific grant details are not provided in the source material. His research activities are centered within the University of Glasgow Dental School's educational innovation ecosystem, focusing on practical implementation of digital dentistry tools within teaching environments through conference presentations and collaborative projects.

Greg L. Rohrauerمشاهده پروفایل

دانشیار

• Advanced Composite Materials
• Composite Pressure Vessels
• Materials Testing
• +۴ مورد دیگر

Dr. Greg L. Rohrauer is the Department Chair and Associate Professor at the Department of Automotive and Mechatronics Engineering, Ontario Tech University. He holds a PhD in Mechanical Engineering from Concordia University (1999), alongside earlier degrees from Concordia and Dawson College. His research focuses on advanced composite materials, vehicle dynamics, and manufacturing technology, with notable contributions to composite pressure vessel design and hybrid vehicle development. Education: PhD (Mechanical Engineering, Concordia, 1999); BEng (Mechanical Engineering, Concordia, 1985); DEC (Mechanical Engineering Technology, Dawson College, 1981). Research interests include materials testing, alternate-fueled vehicles, and manufacturing applications. He has authored over a dozen peer-reviewed publications, including work on trailer dynamics control and composite elasticity solutions. Awardees of multiple scholarships and honors, including the Governor General’s medal nomination (1999), SAE Doctoral Scholarships, and academic excellence awards. He has held academic roles at Concordia University and the University of Windsor, alongside industrial experience in motorsports engineering. Teaching responsibilities include courses on automotive fundamentals, capstone design, and materials science. His professional activities include SAE faculty advising (2003–2005) and senate membership at the University of Windsor.

Ahmad Barariمشاهده پروفایل

استاد

• Advanced Manufacturing Technologies
• Digital Manufacturing
• Precision Manufacturing
• +۷ مورد دیگر

Dr. Ahmad Barari is a Professor in the Department of Mechanical and Manufacturing Engineering at the University of Ontario Institute of Technology. He holds a PhD in Mechanical Engineering from Western University (2006), MSc from Sharif University of Technology (1997), and BSc from Amirkabir University of Technology (1995). His research focuses on advanced manufacturing technologies, additive manufacturing, coordinate metrology, surface integrity, and design optimization. He has authored numerous publications and serves on multiple international conference committees. Education highlights include: PhD, Mechanical Engineering, Western University, 2006 MSc, Mechanical Engineering, Sharif University of Technology, 1997 BSc, Mechanical Engineering, Amirkabir University of Technology, 1995 Research interests span Advanced Manufacturing Technologies, Digital Manufacturing, Precision Manufacturing, and FEA-Based Design Optimization. He has contributed to innovations in additive manufacturing processes, surface quality analysis, and computational metrology. His work addresses challenges like measurement uncertainty, surface tribology, and topology optimization. Notable awards include the Best Paper Award at IMS2016 and multiple recognitions as academic advisor for student projects. He actively participates in professional activities such as organizing conference sessions and serving on review panels for NSERC, CFI, and OCE. His professional roles include organizing tracks at ASME, CAD Conferences, and IMECE events, reflecting his leadership in advancing manufacturing research. He also contributes to academic governance through roles like Design Chair for capstone projects.

• Production Technologies
• Mechanical Engineering
• Computer-Aided Design (CAD)
• +۳ مورد دیگر

Dr. Anđelija Mitrović is an Assistant Professor at the Department of Mechatronics, Faculty of Technical Sciences in Čačak, University of Kragujevac. She holds a PhD in Technical Sciences (Mechanical Engineering) from 2016 and Master of Science in Information Technology from 2010. Her academic career spans multiple institutions including College of Technical Vocational Studies Čačak (2006-2011) and Faculty of Technical Sciences Čačak (2020-present). BSc in Hydropower Engineering, Mechanical Engineering Faculty Belgrade (1996) Profesor in Engineering and Informatics, Technology Faculty Čačak (2006) MSc in Information Technology, Technology Faculty Čačak (2010) PhD in Technical Sciences, Faculty of Technical Sciences Novi Sad (2016) Her research focuses on Production Technologies with emphasis on metal cutting thermal analysis, CAD/CAM systems, and educational technology innovations. Key research trends include: Thermal modeling in conventional and unconventional machining 3D virtual environment applications for engineering education Finite element analysis of milling processes Software-based cutting parameter optimization Integration of immersive learning platforms Publications demonstrate expertise in Thermal Analysis , Manufacturing Simulation , and Virtual Learning Environments . While no formal awards are listed, her work appears in reputable journals and international conference proceedings.

Dele Owodunniمشاهده پروفایل

مدرس ارشد

• Design and Manufacturing
• Computer-aided Design (CAD)
• Aerospace Manufacturing
• +۴ مورد دیگر

Dr. Dele Owodunni is a Senior Lecturer in Mechanical Engineering and Programme Leader of the MSc Mechanical Engineering at the University of Chester. He specializes in Design and Manufacturing, focusing on socially-responsible computerization of engineering processes based on law-like principles. His research includes developing taxonomies for design shapes and advancing sustainable manufacturing practices. Dr. Owodunni has secured over £100,000 in UK funding for research and enterprise activities. His work emphasizes improving design for manufacturing (DFM) in aerospace contexts, defect data management, and energy efficiency in machining. He has supervised PhD students and contributed to collaborative knowledge-sharing frameworks in manufacturing. His research interests span feature recognition in CAD/CAM, process optimization, and sustainability. Notable contributions include frameworks for micro-blogging in knowledge sharing and energy-efficient machining strategies. He actively engages in enterprise activities and has over 15 years of experience in UK academia and industry.

Qingjin Pengمشاهده پروفایل

استاد

• Product Design and Manufacturing
• Digital Manufacturing
• Design Methodology
• +۵ مورد دیگر

Qingjin Peng is a Professor in the Department of Mechanical Engineering at the University of Manitoba’s Price Faculty of Engineering. His work focuses on Product Design and Manufacturing, with expertise in Digital Manufacturing, Design Methodology, and Virtual Reality applications. He holds a PhD from the University of Birmingham (1998) and master’s and bachelor’s degrees from Xi’an Jiaotong University (1988, 1982). Education: PhD in Mechanical and Manufacturing Engineering, University of Birmingham (1998) M.Sc. Mechanical and Manufacturing Engineering, Xi’an Jiaotong University (1988) B.Sc. Mechanical and Manufacturing Engineering, Xi’an Jiaotong University (1982) Research Interests: His research spans Digital Manufacturing, Product Assembly/Disassembly Planning, CAD/CAM systems, and System Modeling. He pioneered methods integrating AI (e.g., Reinforcement Learning, Machine Learning) into product design and manufacturing processes. Notable contributions include optimizing Additive Manufacturing parameters using Taguchi methods and developing VR-based training systems for Coordinate Measuring Machines. Publications: Recent work emphasizes AI-driven innovation in manufacturing, with focus areas including sustainability in Additive Manufacturing, fault diagnosis of rotating machinery, and multi-agent systems for concept evaluation. His 2024 studies highlight advancements in product design through radical problem-solving frameworks, causal chain analysis, and genetic algorithm optimization. Advising & Grants: Currently no graduate student opportunities are listed, but his past collaborations include projects funded by national grants. Research teams often involve interdisciplinary partnerships, leveraging AI and data-driven approaches. Labs/Teams: His lab focuses on Digital Manufacturing and AI applications, though specific team names are not explicitly mentioned in the provided text.

• Robotics
• Manufacturing Engineering
• Mechanical Engineering Design
• +۵ مورد دیگر

Fabio Pini is an Associate Professor at the University of Modena and Reggio Emilia's Department of Engineering 'Enzo Ferrari'. His research focuses on robotics, manufacturing engineering, and advanced design methodologies. He leads the IDEALab (Intelligent Design, Engineering, and Automation Laboratory) and teaches courses in Smart Robotics, Automotive Design, and Additive Manufacturing. Education: Not explicitly stated in provided texts. Research Interests: Collaborative robotics and human-robot interaction Computer-aided design (CAD) and topology optimization Additive manufacturing processes and sustainability Automotive component design and lightweighting Robotics in medical applications (e.g., surgical navigation) Manufacturing process integration and automation Teaching: Smart Robotics (Master's in Electronics/Computer Engineering) Formula SAE Vehicle Design (Mechanical Engineering) Integrated Computer-Based Design (Mechanical Engineering) Automotive Computer-Aided Design (Advanced Automotive Engineering) Labs/Teams: IDEALab focuses on intelligent design systems, robotic automation, and advanced manufacturing solutions. Collaborations include industry partners for automotive and medical robotics projects.

Jörn Dettmerمشاهده پروفایل

استادیار

• Education and Pedagogy in Forestry
• Technology and Innovation
• Wood Products and Built Environments
• +۵ مورد دیگر

UBC Forestry's Assistant Professor Jörn Dettmer specializes in the Department of Wood Science . His focus areas include education and pedagogy in forestry, technology innovation, and wood products in built environments.

Jiří Kosinkaمشاهده پروفایل

دانشیار

• Computer Graphics
• Geometric Modelling
• Computer Aided Design
• +۳ مورد دیگر

Jiří Kosinka is an Associate Professor (Tenure Track) at the University of Groningen, affiliated with the Faculty of Science and Engineering and the Bernoulli Institute. He leads the Scientific Visualization and Computer Graphics research group. His roles include coordinating and lecturing in Computer Graphics and Advanced Computer Graphics courses, as well as serving as an editor for journals like Computer-Aided Design and Graphical Models . Academic Position: Associate Professor, Tenure Track Affiliations: Bernoulli Institute, Faculty of Science and Engineering Research Group: Scientific Visualization and Computer Graphics Education PhD in Mathematics (2006), Charles University, Prague MSc in Mathematics (2002), Charles University, Prague Research Interests Kosinka's work focuses on geometric modeling, computer graphics, and image processing. He develops algorithms for subdivision surfaces, numerical quadrature, and fluid simulation, with applications in surgical planning and medical visualization. His research bridges theoretical contributions with practical implementations in CAD systems and real-time rendering. Conference Contributions Co-organizer of DGMM 2025 (Discrete Geometry and Mathematical Morphology) in Groningen Program Chair for AniNex 2022/2023 (Next Generation Computer Animation) IPC member for SGP, SPM, Pacific Graphics, and other key conferences Editorial Roles He serves on the editorial boards of Computer-Aided Design and Graphical Models , and has guest-edited special issues in Computer Aided Geometric Design . Labs & Teams He leads the Scientific Visualization and Computer Graphics group, collaborating on projects like BoneStory (3D surgical planning) and fluid dynamics simulations. His lab focuses on advancing geometric algorithms and their real-world applications.

Philipp Sembdnerمشاهده پروفایل

پژوهشگر

• Medical Device Design
• Reverse Engineering
• Additive Manufacturing
• +۳ مورد دیگر

Dr.-Ing. Philipp Sembdner is a Research Associate at the Chair of Virtual Product Development within Technische Universität Dresden . He completed his mechanical engineering studies at TU Dresden (2003–2009), specializing in "general and constructive mechanical engineering," followed by a doctorate in 2017 on computer-aided planning for bone implants . His research focuses on developing methods for patient-specific medical devices , emphasizing interdisciplinary workflows between physicians, engineers, and technicians. His recent work explores additive manufacturing of calcium phosphate cement scaffolds , 3D printing of bone implants , and CT data integration into CAD systems. Articles highlight workflow optimization and process validation for medical applications. He contributes to software tools bridging clinical data and engineering design, aiming to accelerate implant development and improve clinical acceptance.

Ali K. Kamraniمشاهده پروفایل

دانشیار

• Systems Engineering
• Product Design for Modularity
• CAD and Geometric Modeling
• +۹ مورد دیگر

Ali K. Kamrani is an Associate Professor in the Department of Industrial and Systems Engineering at the University of Houston's Cullen College of Engineering. He serves as Director of the Industrial Engineering Graduate Program and Founding Director of the Design and Free Form Fabrication Laboratory. Additionally, he holds a Visiting Professor position at King Saud University's Princess Fatimah Alnijris's Research Chair for AMT. His expertise spans systems engineering, CAD/CAM, modularity in product design, and robotics. Education: Ph.D. (Industrial Engineering, University of Louisville, 1991), M.Eng. (Engineering Mathematics/Computer Science and Electrical Engineering), B.S. (Electrical Engineering) Research focuses on innovation in manufacturing systems, data mining applications, and autonomous robotics control. He has authored/co-authored multiple books including Product Design for Modularity and Mass Customization: A Supply Chain Approach . Editor-in-Chief roles include the International Journal of Collaborative Enterprise and International Journal of Rapid Manufacturing. Teaching responsibilities include courses in manufacturing processes, robotics, control systems, and systems engineering modeling. His lab specializes in free-form fabrication technologies and design optimization.

• Computer-Integrated Manufacturing
• Computer-Aided Design
• Computer-Aided Manufacturing
• +۹ مورد دیگر

Olusanjo Fadiya is a Lecturer in Mechanical Engineering at the Faculty of Computing, Engineering and Science, University of South Wales. He is a member of the Engineering Research and Innovation Group and his work contributes to the UN Sustainable Development Goals. His educational background includes: PhD in Industrial Engineering (Materials Logistics Systems) from the University of Wolverhampton (2008-2012) MSc in Mechanical Engineering from University College London (2004-2005) BEng in Mechanical Engineering (Manufacturing option) from the University of Ilorin, Nigeria (1997-2002) Dr. Fadiya has developed expertise in computer-integrated manufacturing (CIM) with specialization in computer-aided design (CAD), computer-aided manufacturing (CAM), and computer-aided process planning (CAPP). His research spans design, modeling, analysis, CNC programming, additive manufacturing, and process planning. His scholarly fingerprint reveals strong connections across manufacturing (100%), engineering (96%), mechanical engineering (81%), logistics (80%), construction industry (72%), and planning processes (64%). His publication record shows a progression from construction logistics research (2010-2015) examining plant theft, construction waste, and ICT-based logistics frameworks, to his most recent 2023 work focusing on student-centered educational methodology using appreciative inquiry. This represents a notable expansion of his research into engineering education while maintaining connections to quality management principles. Professional contributions include serving as an External Examiner at the University of Southern Queensland (April-June 2019).

Mats Erling Høvinمشاهده پروفایل

دانشیار

• Generative Design
• CAD
• CAM
• +۶ مورد دیگر

Mats Erling Høvin is an Associate Professor at the University of Oslo's Department of Informatics, affiliated with the Robotics and Intelligent Systems (ROBIN) research group. His academic work focuses on generative design, CAD/CAM systems, rapid prototyping, and evolutionary robotics. Previously, he conducted significant research in Delta-Sigma noise shaping for analog-to-digital converters. Research Interests: Generative design methodologies for manufacturing Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) systems Rapid prototyping and additive manufacturing techniques Evolutionary algorithms applied to robotics and optimization problems Delta-Sigma modulation for analog/digital signal conversion Robotic locomotion and control systems His publications demonstrate a consistent focus on optimization techniques applied to robotics, signal processing, and manufacturing systems. Recent work explores physics-based simulations for medical robotics and generative design for structural optimization. Earlier contributions established foundations in evolutionary robotics, motion capture filtering, and analog circuit design. Høvin teaches courses including IN5590 and IN1080, and leads research in the ROBIN group focusing on intelligent systems development. His work bridges theoretical computer science with practical engineering applications in robotics and manufacturing.

• Metrology
• Quality Management
• Precision Engineering
• +۷ مورد دیگر

Miodrag Hadžistević is a Full Professor at the Department of Production Engineering within the Faculty of Technical Sciences at the University of Novi Sad. His career spans over two decades, including roles as Assistant Professor (2005-2010) and Associate Professor (2010-2015) in the same department. Academic Timeline Full Professor (2015-present) Associate Professor (2010-2015) Assistant Professor (2005-2010) Administrative Roles Head of Department of Production Engineering (2012-2018) Head of Chair of Metrology, Quality, Equipment, Tools, and Ecological-Engineering Aspects (2018-2024) His research focuses on precision engineering, quality management, and manufacturing technologies. Key contributions include innovations in coordinate measuring machine accuracy, flatness error evaluation, and dental engineering applications. Publications span journals like Precision Engineering , Metalurgija , and Journal of Craniofacial Surgery . While no explicit awards are mentioned, his work demonstrates expertise in metrology, tool design, and ecological-engineering aspects. Recent articles reveal a strong emphasis on dimensional accuracy analysis, dental prosthetics fabrication, and advanced manufacturing methods. His work integrates CAD/CAE systems, Monte Carlo simulations for uncertainty evaluation, and rapid prototyping technologies. The research also explores material behavior in machining processes and corrosion protection techniques.

Răzvan Udroiduمشاهده پروفایل

دانشیار

• Additive manufacturing
• 3D printing
• Composite materials
• +۱ مورد دیگر

Răzvan UDROIU is an Associate Professor in the Department of Manufacturing Engineering at the University of Transilvania of Brașov, Faculty of Technological Engineering and Industrial Management. His research focuses on additive manufacturing, composite materials, and aerospace engineering applications. Academic affiliation: University of Transilvania of Brașov Department: Manufacturing Engineering Faculty: Technological Engineering and Industrial Management His work primarily investigates additive manufacturing technologies , particularly 3D printing and Polyjet , with applications in aerospace engineering and composite material fabrication. Research themes include quality control in polymer jetting, surface performance analysis, and mold manufacturing optimization. Publication trends show consistent contributions to additive manufacturing since 2011, with recent Q1 journal articles in Polymers and Materials focusing on aerospace applications and composite manufacturing. Key methodologies involve statistical process capability analysis, tooling optimization, and CFRP production.