جست‌وجوی استاد و پژوهشگر

Victor J Milenkovicمشاهده پروفایل

استاد

• Computational Geometry
• Robotics
• Computer-Aided Design (CAD)
• +۳ مورد دیگر

Victor J. Milenkovic is a Professor and Department Chair in the Department of Computer Science at the University of Miami's College of Arts and Sciences. His research focuses on computational geometry, geometric algorithms, and their applications in robotics, computer-aided design (CAD), and high-performance computing. He specializes in developing robust algorithms for handling degenerate cases in geometric computations, free space construction for robotic motion planning, and efficient implementations of geometric operations using modern hardware like GPUs. Key contributions include: Advanced techniques for detecting degenerate predicates in computational geometry GPU-accelerated Minkowski sum computations Robust free space construction for polyhedra Geometric rounding methods for preserving mesh topology His work emphasizes practical implementations with provable correctness and efficiency, validated through applications in CAD, robotics, and HPC environments. No academic awards are explicitly listed in the provided materials. Advising and grants: No student advisees or grant details are provided in the profile. His research has been applied to problems in algorithmic robustness, geometric modeling, and parallel computing. Labs/Teams: No specific lab or team affiliations are mentioned beyond his departmental role.

Raska Soemantoroمشاهده پروفایل

پژوهشگر

• Machine Learning
• Computer-Aided Design (CAD)
• Fusion Energy
• +۶ مورد دیگر

Raska Soemantoro is a Research Assistant at the University of Manchester's College of Engineering, Department of Mechanical and Aerospace Engineering. He is currently pursuing a PhD through the EPSRC Fusion Energy CDT, focusing on automated de-featuring of CAD geometries for simulation of complex systems. His work involves NVIDIA’s Omniverse platform and collaboration with the UK Atomic Energy Authority. Education : BEng in Aerospace Engineering (University of Manchester, 2021) MSc in Computational & Software Techniques in Engineering (Cranfield University, 2022) Research Interests center on machine learning applications for spatial and geometric analysis. Key areas include digital twin technology, CAD geometry simplification, neutronics simulation, and point cloud processing. His work aligns with UN Sustainable Development Goals related to education and computational engineering. Research Output Trends highlight collaborations across engineering software platforms, fusion energy systems (e.g., MAST-U Tokamak), and AI-driven geometric analysis. His projects involve digital twin platforms for lithium-based reactors, robotics for medical imaging, and LiDAR-based geospatial algorithms. Scientific Awards include: Best BEng Research Project (2021) Best Project Award (2022) Best Overall Achievement in MSc Computational Intelligence for Data Analytics (2023) CIUK Best Poster Prize (2024)

Yongliang Yangمشاهده پروفایل

مدرس ارشد

• Computer Graphics
• Shape Understanding
• Computational Design
• +۶ مورد دیگر

Yongliang Yang is a Senior Lecturer in the Department of Computer Science at the University of Bath, affiliated with the Centre for the Analysis of Motion, Entertainment Research & Applications (CAMERA). His research spans computer graphics, shape understanding, and computational design with applications in 3D vision and geometric processing. His primary research focuses on developing shape analysis and optimization algorithms for geometric structures, with recent work emphasizing neural radiance fields, point cloud processing, and generative adversarial networks. Key contributions include novel approaches to dynamic scene representation, facial inpainting, and surface approximation techniques. Recent publications demonstrate strong trends in neural rendering for dynamic scenes and generative image synthesis, bridging geometry processing with deep learning for practical 3D reconstruction applications. Scientific recognition includes: Computer Aided Geometric Design Most Cited Paper Award (2011) Computer Aided Geometric Design Most Cited Paper Award (2012) Dr. Yang serves as Principal Investigator for Dynamic Human Reconstruction and Editing with Neural Radiance Fields (Royal Society, 2024-2026) and is Co-Investigator on CAMERA 2.0 (EPSRC, 2020-2025) and EU Horizon 2020 projects. He has supervised 9 students and serves as Associate Editor for Computer Graphics Forum (2025-2028). He actively contributes to CAMERA's research ecosystem focused on motion capture, virtual reality, and entertainment applications, driving innovation in motion analysis and digital content creation.

Anurag Purwarمشاهده پروفایل

دانشیار

• Robotics Design
• Kinematic Analysis
• Machine Learning in Engineering
• +۳ مورد دیگر

Dr. Anurag Purwar is an Associate Professor of Mechanical Engineering at Stony Brook University, directing the Computer-Aided Design and Innovation Lab and serving as PI for NSF I-Corps. He holds a Ph.D. from Stony Brook (2005) and a B.Tech. from IIT Kanpur (1995). His research merges rigid body kinematics with machine learning for mechanism and robot design, yielding 107+ peer-reviewed publications and patents licensed to industry. Key projects include the sit-to-stand walker assistive device (SAE Top 100 Award) and MotionGen software tools. Education: Ph.D., Stony Brook University (2005); B.Tech., IIT Kanpur (1995) Awards: A.T. Yang Award (2017), SAE Top 100 Award (2016), ASEE Distinguished Teaching Award (2021) Leadership: Program Chair (ASME 2014), Conference Co-Chair (IDETC 2016), NAI Senior Member Research focuses on machine learning-driven design of mechanisms, robotics, and assistive technologies. His labs develop algorithms for path synthesis, generative design, and kinematic analysis. He actively commercializes innovations through industry partnerships and has spun off startups like MotionGen.io.

Erkan Günpınarمشاهده پروفایل

دانشیار

• Additive Manufacturing
• Design Space
• Printing Path Optimization
• +۵ مورد دیگر

Erkan Günpınar is an Associate Professor at the Department of Mechanical Engineering, Istanbul Technical University (ITU), specializing in Additive Manufacturing and Computer-Aided Design. His research focuses on optimizing printing paths, material properties, and geometric precision in additive manufacturing processes. He has pioneered work on lattice structures, patient-specific medical systems, and structural optimization for marine applications. Key research interests include generative design methodologies, support structure optimization, and machine learning applications in manufacturing. His work bridges engineering disciplines, integrating mechanical principles with computational techniques to solve complex design challenges. Awards: Best Presentation Award (2016, 2018), Outstanding Contribution in Reviewing (2016), Session Best Paper (2017) Projects: Includes initiatives on yacht hull optimization, cross-derivative surface modeling, and liquid flow-inspired printing paths Advising: Supervises 8 ongoing theses in additive manufacturing and geometric modeling Dr. Günpınar’s recent projects emphasize interdisciplinary collaboration, particularly in biomedical and marine engineering contexts. He actively contributes to journals like Journal of Manufacturing Processes and Computer-Aided Design .

• Graph Theory
• Energy Efficiency
• Lighting Systems
• +۳ مورد دیگر

Dr. Artur Basiura serves as an Assistant Professor in the Department of Applied Informatics at AGH University of Science and Technology's Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering in Kraków, Poland. His institutional affiliation centers on applied informatics research within electrical engineering and computer science domains. His research spans graph theory applications in lighting systems, energy efficiency optimization, and software engineering. Key interests include graph-based street lighting modernization, XBRL taxonomy integration, and adaptive control systems. His work bridges theoretical computer science with practical electrical engineering solutions for urban infrastructure. Analysis of his 14 publications (2004-2022) reveals an evolving research trajectory: early work (2004-2007) focused on software engineering fundamentals including e-commerce frameworks and UML diagram comprehension, while recent publications (2016-2022) demonstrate a strategic shift toward graph-theoretic approaches for lighting system optimization and energy reduction in urban environments.

Wolfgang K. Schiefمشاهده پروفایل

استاد

• Integrable systems
• Soliton theory
• Differential geometry
• +۳ مورد دیگر

Wolfgang K. Schief is a Professor at the School of Mathematics and Statistics, University of New South Wales (UNSW), Sydney, Australia. He previously served as Head of the Department of Applied Mathematics. His academic history includes positions as Professor at Technische Universität Berlin (Germany), Associate Professor and Senior Lecturer at UNSW, and Queen Elizabeth II Research Fellow. His research spans integrable systems, soliton theory, differential geometry (continuous/discrete), continuum mechanics, and general relativity. Key themes include geometric aspects of nonlinear equations, discretization methods, and applications in physics. Recent work emphasizes discrete differential geometry, integrable discretizations, and connections between geometry and physical models. Professor Schief's publications (2015–2019) predominantly explore discrete integrable geometry, surface theory, and geometric mechanics. Trends include advanced discretization techniques, projective/minimal surfaces, circle complexes, and multi-dimensional consistency in heavenly-type equations.

Eduard Gröllerمشاهده پروفایل

استاد

• Visual Computing
• Scientific Visualization
• Volume Visualization
• +۵ مورد دیگر

Eduard Gröller is a Full Professor of Visualization at the Vienna University of Technology (TU Wien), leading the Research Unit of Computer Graphics and the Visualization Group within the Institute of Visual Computing & Human-Centered Technology (VC&HCT). He holds adjunct professorships at the University of Bergen, Norway, and chairs several academic committees. His academic journey began with a PhD in 1993 from TU Wien, followed by extensive contributions to visualization research. His research focuses on visual computing, scientific visualization, and medical imaging, with applications in energy modeling, climate analysis, and molecular biology. Gröller has pioneered methods like BEMTrace for BIM-based energy models and HORA 3D for flood risk visualization. He co-authored over 300 publications, including foundational work in IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum . Gröller's awards include the IEEE VGTC Technical Achievement Award (2019), Eurographics 2015 Outstanding Technical Contributions Award, and Fellow of the Eurographics Association (2009). He actively contributes to conferences like EuroVis and IEEE Visualization as program chair and reviewer. His educational efforts span courses in visual computing, graphics, and data analysis, with a focus on immersive tools like ImNDT for material data exploration. Current projects include Climate-Sensitive Adaptive Planning for Resilient Cities, Visual Analytics in Radiation Therapy, and scalable web-based visualization techniques. He leads teams in VRVis, a research center for applied visualization, and collaborates internationally on medical imaging and environmental data challenges.

• Laser Scanning
• Point Cloud Processing
• Geospatial Information Systems
• +۳ مورد دیگر

Tamás Lovas serves as Associate Professor at the Department of Photogrammetry and Geoinformatics, Faculty of Civil Engineering, Budapest University of Technology and Economics. He teaches advanced courses in Building Information Modeling, Laser Scanning, Remote Sensing, and Intelligent Transportation Systems while supervising diploma theses in Surveying and Geoinformatics Engineering. Education: 1994: High school graduation, Városmajor High School, Budapest 1999: Certified Surveyor and Geoinformatics Engineer, Budapest University of Technology, Faculty of Civil Engineering 2005: PhD (Earth Sciences), Budapest University of Technology and Economics, Faculty of Civil Engineering Research Interests: Dr. Lovas specializes in laser scanning technologies and geospatial data processing with emphasis on airborne and terrestrial point cloud analysis. His work bridges civil engineering applications and computational methods, particularly in infrastructure monitoring and digital representation. Processing, classification, and modeling of airborne laser scanned data Accuracy testing of terrestrial laser scanning Processing and modeling of terrestrial laser scanned data Comparative study of spatial data acquisition technologies His 2022-2025 publications demonstrate accelerating integration of artificial intelligence in point cloud processing, with significant contributions to road surface extraction, urban land cover classification, and BIM automation. Current research trends show strong focus on digital twin development for autonomous vehicles and infrastructure management. Scientific Awards: Republic Scholarship (1998-1999) Karlsruhe Chancellor's Scholarship (1999) ERASMUS scholarship (2000) Korányi Fellowship (2001-2002) János Bolyai Research Scholarship (2008-2011) OHV 1st place (2008) Dean's commendation for ERASMUS committee work (2014) For Students Award - Teaching Department (2017) Advising and Grants: Dr. Lovas mentors students through diploma theses and TDK research projects on topics including object survey with amateur sensors and hull modeling. His research funding includes the prestigious János Bolyai Research Scholarship and international fellowships supporting collaborations with institutions like The Ohio State University. Labs and Teams: As founding member and supervisory board member of the Hungarian BIM Association, he drives industry-academia collaboration. His leadership roles include Deputy Dean of Education at the Faculty of Civil Engineering and responsibility for English language training programs, facilitating international academic exchange.

Megan Hofmannمشاهده پروفایل

استادیار

• Accessibility and Fabrication
• Digital Fabrication in Healthcare
• Machine Knitting Automation
• +۵ مورد دیگر

Megan Hofmann is an Assistant Professor holding dual roles at Northeastern University's Khoury College of Computer Sciences and the Department of Mechanical and Industrial Engineering (College of Engineering). She earned her PhD in Human-Computer Interaction from Carnegie Mellon University in 2022. Her research focuses on accessibility and digital fabrication, particularly in healthcare contexts, including automated machine knitting and medical making. She leads the Accessible Creative Technologies (ACT) Lab, which develops tools like Maptimizer (custom tactile maps), OPTIMISM (collaborative optimization frameworks), and KnitGIST (generative knitting design). Her work addresses challenges in assistive technology fabrication, such as creating accessible medical devices and optimizing rapid prototyping in healthcare. Recent projects include NSF-funded research on interactive smart textiles and studies on distributed manufacturing during the COVID-19 pandemic. Hofmann’s contributions span interdisciplinary domains, blending computer science, mechanical engineering, and healthcare innovation. Grants & Awards: Recipient of a $550,000 NSF grant for smart textile tools (2024). Labs: ACT Lab focuses on inclusive digital fabrication systems.

Richard H. Crawfordمشاهده پروفایل

استاد

• Computer-Aided Design
• Design Theory and Methodology
• Geometric Modeling
• +۳ مورد دیگر

Richard H. Crawford is a Professor of Mechanical Engineering at The University of Texas at Austin, holding the Earl N. & Margaret Brasfield Endowed Faculty Fellowship and serving as Director of the Design Projects Program. His educational background includes a BSME from Louisiana State University (1982), and MSME (1985) and Ph.D. (1989) from Purdue University. Dr. Crawford's research spans computer-aided mechanical design, design theory, and engineering education, with four primary focus areas: (1) computer representations for conceptual design and design retrieval; (2) geometric modeling for engineering design and manufacturing; (3) additive manufacturing including design tools and applications; and (4) pre-college engineering education. His industrial collaborations include faculty internships at Ford Motor Company, IBM, and Sandia National Laboratory. His recent publications demonstrate consistent emphasis on design optimization, metamodeling (particularly NURBS-based approaches), additive manufacturing applications, and biomedical engineering solutions for prosthetics and orthotics, reflecting integration of computational methods with practical engineering challenges. Dr. Crawford has received significant recognition: 1995 Fred Merryfield Design Award from the American Society for Engineering Education 2010 Ralph Coates Roe Award for exemplary Mechanical Engineering education 2011 University of Texas System Regents’ Outstanding Teaching Award He co-founded the Design Technology and Engineering for All Children (DTEACh) program providing K-12 teacher training, and partnered with UTeach to develop the "Engineer Your World" high school curriculum adopted by over 200 school districts, featuring a dual-credit option through UT System institutions.

Hong Qinمشاهده پروفایل

استاد

• Computer Graphics
• Geometric Modeling
• Physics-Based Modeling
• +۵ مورد دیگر

Hong Qin is a Full Professor (with tenure) in the Department of Computer Science at Stony Brook University, where he is also a member of the Center for Visual Computing. He holds a B.S. and M.S. from Peking University, and a Ph.D. from the University of Toronto. His research focuses on computer graphics, geometric modeling, physics-based simulation, and scientific visualization. Education: B.S. (1986) and M.S. (1989) in Computer Science from Peking University; Ph.D. (1995) in Computer Science from the University of Toronto. Research interests include geometric modeling, computer-aided design, scientific visualization, medical imaging, and robotics. He has received notable awards like the NSF CAREER Award (1997), Alfred P. Sloan Fellowship (2001-2005), and multiple NSF grants. Qin has organized major conferences such as Computer Graphics International 2005 and chairs editorial boards for IEEE TVCG and The Visual Computer.

Tzu-Chieh Kurt Hongمشاهده پروفایل

استادیار

• Shape Grammars
• Visual Computing
• Generative Modeling
• +۴ مورد دیگر

Dr. Tzu-Chieh Kurt Hong is an Assistant Professor at the Department of Architecture within the School of Architecture and Design at the University of Kansas. He teaches design studios, algorithmic modeling, parametric design, and computer programming in design studies. He founded K9K Research & Design, focusing on innovative computational design methodologies. His research emphasizes shape grammars, visual computing, and generative modeling, particularly through the development of the Shape Machine—a computational tool integrating shape recognition and rewriting into CAD systems. Education: Ph.D. in Architecture (Design Computation), Georgia Institute of Technology (2021) M.S. in Architecture and Design, University of Michigan (2016) Master of Architecture, National Chiao Tung University (2008) M.S. and B.S. in Electronics Engineering, National Chiao Tung University (Taiwan) Research Interests: Shape embedding and rewriting in CAD systems Algorithmic design and generative systems Integration of traditional methods (e.g., Euclidean geometry) with computational tools Applications in architectural education and practice Awards: 2022 ARCC Dissertation Award for contributions to CAD systems through shape recognition research Professional Experience: Research Scientist at Georgia Tech's Shape Computation Lab (2016–2022) Contributions include the Shape Machine framework and the Smart 3D Atlanta visualization platform Labs/Teams: Leads the K9K Research & Design initiative, collaborating with academic and industry partners on computational design tools and generative workflows.

Renato Pajarolaمشاهده پروفایل

استاد

• Computer Graphics
• Scientific Visualization
• 3D Modeling
• +۵ مورد دیگر

Prof. Dr. Renato Pajarola is the Head of the Visualization and MultiMedia Lab at the Department of Informatics, University of Zurich. His research focuses on computer graphics, scientific visualization, and geometric processing, with applications in 3D scanning, point cloud analysis, and real-time rendering. He leads a team developing advanced visualization techniques for high-dimensional data, parallel rendering frameworks, and interactive systems for complex datasets. Key research areas include: 3D reconstruction of indoor environments Tensor approximation for volume visualization Interactive ray tracing and point cloud processing Parallel rendering frameworks (e.g., Equalizer) Scientific computing and sensitivity analysis His recent publications emphasize: High-dimensional data exploration using tensor methods Efficient rendering techniques for large-scale point clouds Integration of citizen-reported weather data for environmental analysis Prof. Pajarola’s lab collaborates on projects like VIAN (visual annotation tool for film analysis) and Terrender (web-based terrain visualization). His Erdős number is 3, reflecting interdisciplinary research connections in mathematics and computer science.

Thomas J.R. Hughesمشاهده پروفایل

استاد

• Isogeometric Analysis
• Computational Mechanics
• Finite Element Analysis
• +۷ مورد دیگر

Thomas J.R. Hughes is the Peter O’Donnell Jr. Chair in Computational and Applied Mathematics and a Professor of Aerospace Engineering and Engineering Mechanics at The University of Texas at Austin. He is affiliated with the Oden Institute for Computational Engineering and Sciences (Oden Institute), where he leads the Computational Mechanics Group. His research focuses on computational mechanics, isogeometric analysis, and biomedical modeling. Education: B.E. and M.E. in Mechanical Engineering from Pratt Institute; M.S. in Mathematics and Ph.D. in Engineering Science from the University of California, Berkeley. Research Interests include Isogeometric Analysis (integrating CAD and FEA), stabilized numerical methods for fluid flows, patient-specific biomedical simulations, and phase-field modeling. His work spans applications in cardiovascular systems, tumor growth, and geophysical flows. Hughes has authored over 150 journal articles, with recent contributions on isogeometric analysis, fluid-structure interaction, and computational geosciences. Notable awards include the von Neumann Medal (USACM), Gauss-Newton Medal (IACM), and Worcester Reed Warner Medal (ASME). He is a member of the National Academy of Engineering. His group advises students and postdocs in computational methods and collaborates with centers like the Oden Institute’s Computational Visualization Center. Current projects include isogeometric analysis, nanoparticle drug delivery, and ice sheet modeling.