جست‌وجوی استاد و پژوهشگر

Klaus Helmreichمشاهده پروفایل

استاد

• Signal Integrity
• Material Characterization
• Microwave Engineering
• +۳ مورد دیگر

Prof. Dr.-Ing. Klaus Helmreich is a Professor at Friedrich-Alexander University Erlangen-Nürnberg (FAU), leading the Chair of Computer-Aided Circuit Design within the Department of Electrical Engineering, Electronics and Information Technology (EEI). He holds a Diploma in Physics (1993) and a Dr.-Ing. from FAU, specializing in integrated circuit testing. His research focuses on signal integrity, material characterization, and additive manufacturing in high-frequency electronics. He has been a faculty member since 2004 and actively contributes to FAU committees, including the Faculty Committee on Study Grants and the Admissions Committee for Master's programs in Vocational Education Technology. Key research areas include 3D-printed antennas, microwave components, and advanced manufacturing techniques for RF applications. He has published extensively on topics like laser structuring, electroless silver plating, and waveguide design. His work bridges theoretical models (e.g., surface roughness effects) with practical applications in millimeter-wave systems and automotive radar. Prof. Helmreich collaborates internationally, presenting at conferences like EuCAP, IEEE Sensors, and SPIE. His research emphasizes innovative manufacturing processes and material analysis for next-generation electronic systems. Despite no explicitly listed awards, his prolific publication record and leadership roles highlight his contributions to the field.

Stanislav Roudavskiمشاهده پروفایل

مدرس ارشد

• Architecture
• Ecology
• Design Fiction
• +۵ مورد دیگر

Stanislav Roudavski is a Senior Lecturer in Digital Architectural Design at the University of Melbourne's Melbourne School of Design. He holds a PhD from the University of Cambridge, with prior academic roles at MIT and research engagements in Europe. His work bridges architecture, ecology, and technology through the Deep Design Lab, focusing on interspecies coexistence, AI-driven habitat design, and post-anthropocentric creativity. Education: PhD, University of Cambridge (UK) MSc in Computer-Aided Architectural Design, University of Strathclyde (UK) Master of Architecture/Master of Fine Arts, Academy of Arts in St. Petersburg (Russia) Roudavski's research explores philosophy of ecology, generative design processes, and virtual environments. He co-founded Elseware and ExLab, creative initiatives addressing design fiction and conceptual design. His projects include prosthetic owl nests, AI-driven habitat modeling, and collaborative tools for multispecies urban planning. He serves on editorial boards for International Journal of Architectural Computing and Journal of Digital Creativity , and advises international conferences like CAADRIA. Collaborations & Impact: Deep Design Lab: A multidisciplinary team exploring sustainable design through ecology, technology, and ethics. System Garden: Living laboratory for testing habitat structures and urban biodiversity solutions. Global partnerships with institutions like CNRS (France), WWF, and the Australian Synchrotron.

Donka Novovicمشاهده پروفایل

استاد مهمان

• Sustainable Manufacturing
• Advanced Machining Technologies
• High Performance Machining Systems
• +۳ مورد دیگر

Donka Novovic is a Royal Academy of Engineering Visiting Professor at the University of Birmingham's Department of Mechanical Engineering, School of Engineering. She is also a Rolls-Royce Engineering Fellow specializing in advanced machining technologies for sustainable manufacturing. Her roles include academic collaboration, industrial lectures, and supervision of research projects in machining and sustainable manufacturing. Education: PhD in Manufacturing and Mechanical Engineering, University of Birmingham (2004) MSc in Computer Aided Process Planning, University of Montenegro (2006) BEng (Hons) in Mechanical Engineering, University of Montenegro (1991) Research Interests: Focuses on sustainable machining technologies for advanced materials, high-performance machining systems, and industrial-academic collaboration. Her work bridges theoretical research with practical industrial applications to enhance manufacturing efficiency and sustainability. Patents & Awards: Chartered Engineer (CEng), 2010 Fellow of the Royal Aeronautical Society (FRAeS), 2013 Over 20 patents in machining technologies, including cutting fluids, abrasive tools, and clamping systems. Advisory Roles: Chair of the Industrial Advisory Board at the University of Birmingham's Mechanical Engineering department. Collaborates with Rolls-Royce and other industry leaders to ensure academic research aligns with industrial needs.

Yunlong Tangمشاهده پروفایل

مدرس

• Additive Manufacturing
• Smart Manufacturing
• Digital Twin Technology
• +۵ مورد دیگر

Dr. Yunlong Tang is a Lecturer jointly appointed by the Department of Mechanical and Aerospace Engineering and the Department of Materials Science and Engineering at Monash University. He also serves as Assistant Director of the Monash Centre for Additive Manufacturing (MCAM). His research focuses on digital additive manufacturing, AI-driven design tools, and smart manufacturing systems. He holds a Ph.D. from McGill University, a Master’s from Beihang University, and a Bachelor’s from Harbin Institute of Technology. Education: Ph.D. in Mechanical Engineering, McGill University, 2018 M.Sc. in Aerospace Manufacturing Engineering, Beihang University, 2013 B.Eng. in Mechanical Engineering, Harbin Institute of Technology, 2010 Research Interests: Design for Additive Manufacturing (DfAM) and open-source tools like IntraLattice AI and computational design for material-process-structure integration Digital twin-enabled smart manufacturing and process optimization Hybrid materials design and digital manufacturing processes Advising & Grants: He supervises PhD students in topics such as AI-aided DfAM, digital twin process planning, and bio-inspired composites. He leads projects like 'Smart In-Process Quality Inspection' and collaborates on waste management decision analysis. Labs & Teams: He directs the Intelligent Digital Manufacturing and Design (I-DMD) Lab , a cross-departmental team advancing AI and digital twin technologies in manufacturing. The lab focuses on sustainable, adaptive, and personalized manufacturing solutions.

Daniele Panozzoمشاهده پروفایل

استادیار

• Geometry Processing
• Computer Graphics
• Digital Fabrication
• +۳ مورد دیگر

Daniele Panozzo is an Assistant Professor of Computer Science at the Courant Institute of Mathematical Sciences, New York University (NYU). Previously, he was a senior researcher at ETH Zurich's Interactive Geometry Lab. He holds a BSc and Ph.D. in Computer Science from the University of Genoa (2008, 2012). His research focuses on geometry processing, computer graphics, and digital fabrication, with notable contributions to meshing, finite element simulation, and computational geometry. Key achievements include the EUROGRAPHICS Annual Award for Best Ph.D. Thesis (2013), the Young Researcher Award (2015), an NSF CAREER Award (2017), and a Sloan Research Fellowship (2020). His work emphasizes robust algorithms for geometric computing, with applications in engineering, biology, and cultural heritage preservation. Publications span topics like microstructure optimization, contact dynamics, and 3D scanning, reflecting his interdisciplinary approach. He leads the Geometric Computing Lab at NYU, advancing open-source tools such as libigl for geometry processing. Ongoing projects include developing differentiable solvers and high-order meshing techniques for complex simulations.

Kevin Shankwilerمشاهده پروفایل

مدرس ارشد

• Industrial Design
• Parametric Modeling
• Product Customization
• +۳ مورد دیگر

Kevin Shankwiler is a Senior Lecturer and Undergraduate Program Coordinator in the School of Industrial Design at Georgia Institute of Technology's College of Design. He holds both a Bachelor of Science and Master of Industrial Design from Georgia Tech. His professional experience includes roles as an Assistant Professor and Visiting Assistant Professor within the same school. Since January 2004, he has also served as Principal and Industrial Designer at Shankwiler Design, LLC in Atlanta. Shankwiler's research focuses on parametric modeling, product customization, and digital fabrication. His educational contributions include pedagogical work in second-year industrial design studios, emphasizing curriculum development and studio-based learning. His professional practice bridges academia with industry, reflecting a dual commitment to teaching and applied design innovation. Though no specific grants or advising records are detailed, his roles as coordinator and educator suggest active involvement in student mentorship. His academic trajectory includes prior professorial appointments and ongoing engagement with cutting-edge design methodologies. His work intersects with broader themes in industrial design, including sustainable manufacturing, human-centered product development, and the integration of digital technologies in design processes.

Xi Wangمشاهده پروفایل

دانشیار

• Cloud-based Manufacturing
• Sustainable Manufacturing
• Robotics
• +۳ مورد دیگر

Xi Wang is an Associate Professor in the Department of Production Engineering at KTH Royal Institute of Technology, Sweden, and serves as the Division Head of Industrial Production Systems (IPS). He holds a PhD from the University of Auckland (2013) and a Bachelor's from Tianjin University (2008). His research focuses on Cloud-based Manufacturing, Sustainable Manufacturing, Robotics, Digital Twin Technology, and Computer-aided Design. He is actively involved in editorial roles for journals like the International Journal of Manufacturing Research and the Journal of Manufacturing Systems. Education: PhD in Mechanical Engineering, University of Auckland, 2013 Bachelor of Mechanical Engineering, Tianjin University, 2008 Research Interests: Dr. Wang’s work emphasizes integrating advanced technologies into manufacturing systems, including: Cloud Manufacturing: Cyber-Physical Systems and Service Composition Sustainable Practices: Energy Efficiency and Recycling Systems Robotics: Collaborative Systems and Calibration Methods Digital Twin: High-Fidelity Modeling for Industry 5.0 His recent publications highlight optimization algorithms, predictive modeling, and blockchain applications in manufacturing. Professional Contributions: Managing Editor, International Journal of Manufacturing Research (IJMR) Editorial Board Member of 3+ international journals Lead researcher on EU-funded projects like SYMBIO-TIC and CAPP-4-SMEs Lab/Team Involvement: His research groups focus on Human-Robot Collaboration and Smart Production Logistics , with projects addressing real-time adaptive systems and safety frameworks.

Jos Darlingمشاهده پروفایل

مدرس ارشد

• Vehicle Dynamics
• Hydraulic Systems
• Active Suspensions
• +۳ مورد دیگر

Jos Darling is a Senior Lecturer in the Department of Mechanical Engineering at the University of Bath, specializing in vehicle dynamics and engineering education. He serves as Undergraduate Admissions Tutor and has held leadership roles including Director of Teaching for 20 years. His research focuses on hydraulic systems, active suspensions, tilting three-wheeled vehicles, and innovative teaching methods. Education: PhD in Mechanical Engineering (pressure ripple in hydraulic pumps), followed by industry experience in automotive engineering. Research Interests: Vehicle dynamics (active suspensions, tilting vehicles), hydraulic actuation systems, and game-based learning in engineering education. His work addresses urban mobility solutions, durability loads prediction, and educational technology integration. Key Projects: Collaborations via Knowledge Transfer Partnerships (KTP) with companies like Bailey Caravans and Moulton Bicycle Co. Focused on improving manufacturing processes and product development through applied research. Awards: National Teaching Fellowship (2008), multiple teaching awards, and recognition for educational game development (Racing Academy). Labs/Centers: Affiliated with The Foundry: Centre for Digital, Manufacturing & Design Innovation, emphasizing cross-disciplinary research and innovation.

Rhett Davisمشاهده پروفایل

استاد

• 3D Integrated Circuits (3DIC)
• Low-Power Circuit Design
• High-Performance Circuit Design
• +۶ مورد دیگر

Dr. Rhett Davis is a Professor in the Department of Electrical and Computer Engineering at North Carolina State University, where he has been since 2002. He holds a PhD from the University of California, Berkeley (2002), and earlier degrees from UC Berkeley and NC State. His research focuses on 3D integrated circuits (3DIC), low-power/high-performance circuit design, and CAD tools for emerging technologies. He leads the development of the FreePDK open-source process design kit, which has significantly advanced EDA standards. Education: PhD in Electrical Engineering, UC Berkeley, 2002 MS in Electrical Engineering, UC Berkeley, 1997 Bachelor's in Electrical Engineering, NC State, 1994 Research Interests: 3D-IC architectures and thermal management EDA tools for predictive design Embedded systems and signal processing Open-source PDK development Awards: NSF CAREER Award (2007) Si2 Distinguished Service Award (2012) Si2 Power of Partnerships Award (2020) Advising & Grants: Recipient of NSF CAREER grant Consultant for Qualcomm, BEECube, and Chameleon Systems Labs & Teams: Active in the FreePDK project and collaborates with Si2 on EDA standards.

Michael Johnsonمشاهده پروفایل

استاد

• Engineering Education
• Production Economics
• Computer-Aided Design Methodology
• +۳ مورد دیگر

Michael Johnson is a Professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M University, serving concurrently as Associate Provost for Academic Enhancement. He holds a Ph.D. in Mechanical Engineering from MIT and B.S. from Michigan State University. His research focuses on engineering education, production economics, and CAD methodology. He has received numerous teaching awards including ASEE National Teaching Awards and multiple fellowships. Education Background: Ph.D., Mechanical Engineering, MIT (2004) S.M., Engineering, MIT (2001) B.S., Mechanical Engineering, Michigan State University (1999) Research Interests emphasize bridging theory and practice in engineering education through innovative pedagogical strategies. His work explores adaptive expertise in CAD modeling, workforce development for Industry 4.0, and ethics integration in STEM curricula. Recent studies address pandemic impacts on training systems and mentoring approaches for first-generation students. Key Awards: ASEE National Engineering Technology Teaching Award (2020) ASEE Fredrick J. Berger Award (2020) Texas A&M Institute for Engineering Education Fellow (2018-2019) Teaching and Service Contributions include leading initiatives for academic enhancement, curriculum redesign, and promoting diversity through faculty watch parties. He has developed industry-aligned programs addressing skills gaps in manufacturing and logistics sectors. Labs/Teams: Active in Texas A&M's Engineering Education and Innovation initiatives, collaborating with industry partners on workforce training solutions and CAD methodology research.

John Keyserمشاهده پروفایل

استاد

• Computer Science
• Graphics and visualization
• Physically-based simulation
• +۵ مورد دیگر

John Keyser is a Professor in the Department of Computer Science & Engineering at Texas A&M University, serving as Graduate Advisor. He holds a Ph.D. from the University of North Carolina at Chapel Hill and multiple B.S. degrees from Abilene Christian University. His research focuses on geometric computing, physically-based simulation, graphics, and modeling, with notable contributions to 3D visualization and computational geometry. Keyser's educational background includes advanced degrees in Computer Science, Applied Mathematics, and Engineering Physics. He has received prestigious awards such as the William Keeler Faculty Fellowship and teaching accolades from the Association of Former Students and Tenneco. His research interests span robust geometric modeling, physically-based simulation, brain networks, and graphics. Keyser's work bridges theoretical foundations with applied systems, including innovations in particle-based fluids, mesh rendering, and filament tracking in microscopy. Awards: William Keeler Faculty Fellow (2009-2010), Teaching Excellence Awards (2007), Montague Scholar (2003-2004). Advising: Graduate Advisor role with expertise in guiding students through complex computational projects. Keyser collaborates on advanced imaging techniques like the Knife-Edge Scanning Microscope (KESM) for brain tissue analysis and contributes to GPU-accelerated algorithms for real-time simulations. His research trends emphasize interdisciplinary applications of geometric computing in both academic and industrial contexts.

Kim Jeeeunمشاهده پروفایل

استادیار

• Digital Fabrication
• Human-Computer Interaction
• Human-Artificial Intelligence Interaction
• +۳ مورد دیگر

Dr. Kim Jeeeun is an Assistant Professor in Computer Science & Engineering at Texas A&M University, directing the HCIED (HCI Engineering & Design) Lab. She holds a PhD (2019) and MS (2015) from the University of Colorado Boulder, and a BS (2010) in Computer Engineering from Korea Aerospace University. Her research focuses on digital fabrication , human-computer interaction , and design research , exploring how technology can democratize access to fabrication tools and improve human-AI collaboration. Notable projects include 3DPFIX (AI-driven 3D printing troubleshooting) and 3D4ALL (inclusion in 3D printing communities). Recent work includes: Instance detection in open-world scenarios (CVPR'25) LumosX: 3D-printed light-transfer materials (CHI'25) Material-driven rapid prototyping methodologies Recipient of prestigious awards including NSF CAREER Award (2024), TEES Young Faculty Fellow (2023), and Adobe Research Fellowship (2018). Active in academic service, serving as General Co-Chair for UIST'25 and PC roles in CHI/TEI/UIST conferences. Her lab develops tools like HowDIY to bridge fabrication expertise gaps, and OmniSoft for designing soft objects. Ongoing projects explore 4D printing hybrid approaches and energy-harvesting mechanisms (E3D).

Ronald N. Goldmanمشاهده پروفایل

استاد

• Computer Graphics
• Geometric Modeling
• Computer-Aided Design
• +۷ مورد دیگر

Ronald N. Goldman is a Professor of Computer Science at Rice University in Houston, Texas. He holds a B.S. in Mathematics from MIT (1968) and M.A./Ph.D. in Mathematics from Johns Hopkins University (1973). His research focuses on mathematical representation and manipulation of shape using computers, with emphasis on computer-aided geometric design, solid modeling, and applications of algebraic/differential geometry. His recent work explores quaternions, dual quaternions, and Clifford algebras in computer graphics. Education: B.S., Mathematics, Massachusetts Institute of Technology, 1968 M.A. & Ph.D., Mathematics, Johns Hopkins University, 1973 Research Interests: Dr. Goldman investigates algorithms for polynomial curves/surfaces, implicit and parametric geometry, subdivision methods, and special functions/splines. His work bridges theoretical mathematics and applied computer graphics, with a current focus on geometric modeling using advanced algebraic structures. Professional Experience: Prior to academia, he spent a decade in industry roles including Mathematician at Manufacturing Data Systems, Senior Design Engineer at Ford Motor Company, and Principal Consultant at Control Data Corporation. Since 1990, he has been at Rice University after serving as Associate Professor at the University of Waterloo (1987–1990). Publications: He has authored over 100 articles and three influential books: Pyramid Algorithms , An Integrated Introduction to Computer Graphics and Geometric Modeling , and Rethinking Quaternions . He is currently developing a sequel on dual quaternions while serving as Associate Editor of Computer Aided Geometric Design .

• Experience Design
• Color Management
• Software Interface Design
• +۴ مورد دیگر

Phil Henry is a Lecturer in Design Technology at the School of Design, University of Leeds, within the Faculty of Arts, Humanities and Cultures. He also serves as Admissions Director for the School of Design. His expertise spans experience design, colour management, and software interface design to enhance user engagement, alongside pioneering work in CAD as a tool for accelerated learning. Education: BSc in Textiles Design and Design Management from the University of Manchester Institute of Science and Technology (UMIST), followed by a PhD in Colour Software Development from the University of Leeds School of Design. Research focuses on digital design productivity, notably developing a colouring plug-in tool for Photoshop (via Colour Mix ). His work integrates design technology with textile and fashion manufacturing innovations, emphasizing digital printing and colouration software. Teaching emphasizes fostering technical and creative skills in colour application, digital design, and fabric printing across undergraduate and postgraduate levels. Current postgraduate researchers include Ximing Wang and Xuyinglong Zhang. Pre-academic experience includes roles as a woven designer in the worsted industry and at NedGraphics (CAD software development), alongside over a decade of international consulting in textiles and fashion tech.

Marcello Papiniمشاهده پروفایل

استاد

• Abrasive Jet Machining
• Solid Particle Erosion
• Tribology
• +۱۲ مورد دیگر

Dr. Marcello Papini is a Professor in the Department of Mechanical, Industrial and Mechatronics Engineering at Toronto Metropolitan University, where he leads research in abrasive jet technology and biomechanics. He also holds an adjunct professorship at the University of Waterloo. A Tier II Canada Research Chair holder (2007–2017) and Fellow of the Canadian Society for Mechanical Engineering, his work bridges mechanical engineering, materials science, and biomedical applications. His research focuses on abrasive jet micro-machining , solid particle erosion , and orthopaedic biomechanics . Using advanced numerical modeling—including finite element analysis, level set methods, and cellular automaton simulations—he investigates material removal mechanisms, surface evolution, and the performance of orthopaedic implants. His lab develops predictive models for microfabrication processes applicable to MEMS, microfluidics, and lab-on-a-chip devices. Recent publications highlight trends in inverse methods for 3D micro-etching, CFD-aided prediction of machining channels, and simulation of particle impacts. His work emphasizes both experimental validation and computational innovation in non-traditional machining and biomechanics. Scientific Awards: Tier II Canada Research Chair in Abrasive Jet Technology (2007–2017) Fellow, Canadian Society for Mechanical Engineering (FCSME) Dr. Papini has been actively involved in research supervision and mentorship, supported by funding from NSERC. He co-edits the journal Wear (Elsevier) and collaborates with researchers at the University of Toronto. His group maintains three research labs focused on abrasive jet and erosion phenomena. His research group specializes in modeling techniques for abrasive jet machining, solid particle erosion, and orthopaedic biomechanics, utilizing composite bone analogues and finite element models to evaluate implants and engineered tissues.