جستجوی استاد راهنمای دانشگاهی

• Virtual Reality
• 3D Web Technologies
• Ontology Engineering
• +۵ مورد دیگر

Jakub Flotyński serves as a Professor in the Department of Information Technology within the Institute of Informatics and Quantitative Economics at Poznan University of Economics and Business. His research spans computer science with a strong focus on virtual reality, 3D web technologies, and semantic modeling, combining 75% information and communication technology with 25% management and quality studies. His research interests center on Virtual Reality , Extended Reality (XR) , and Semantic Web technologies , specializing in explorable environments, knowledge-based adaptation of interfaces, and ontology-driven 3D content modeling. His work bridges technical innovation with practical applications in industrial training, data visualization, and immersive experiences. Analysis of his 15 most recent publications (2020-2025) reveals a consistent focus on E-XR (Explorable Extended Reality) development frameworks, semantic annotation systems, and knowledge-based adaptation techniques. His research demonstrates strong interdisciplinary connections between computer science, semantic technologies, and practical business applications, with particular emphasis on industrial training scenarios and data visualization systems. Jakub Flotyński maintains an active research profile with 51 documented publications and a ministerial score of 1,270. His work is supported by two documented research projects and eight professional activities. He utilizes semantic technologies and knowledge representation systems to advance XR interface design and 3D content behavior modeling.

Tor Aamodtمشاهده پروفایل

استاد

• Computer Architecture
• GPU Architecture
• Deep Neural Networks
• +۴ مورد دیگر

Tor Aamodt is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia within the Faculty of Applied Science. He has been a faculty member at UBC since 2006 and maintains an active research program in computer architecture with a focus on GPU systems. His academic journey includes a BASc, MASc, and PhD from the University of Toronto, followed by industry experience at NVIDIA where he worked on the memory system architecture of the GeForce 8 Series GPU. Professor Aamodt's research spans computer architecture with particular expertise in accelerators for deep neural networks and graphics processor unit architecture for non-graphics computing. His work has evolved from foundational GPU architecture research to cutting-edge applications in ray tracing, robotics acceleration, and energy-efficient computing. He has made significant contributions to understanding GPU memory systems, interconnect architectures, and the application of GPUs to machine learning workloads. His research group has developed influential tools including the first widely used GPGPU architecture simulator and the Vulkan-Sim ray tracing simulator. His recent publications reveal a strong trend toward real-time ray tracing acceleration and robotics applications, with substantial work on optimizing tree traversal algorithms for ray tracing workloads. The research shows a clear evolution from general GPU architecture studies to specialized hardware-software co-design for specific application domains, particularly in rendering and robotics. His group consistently publishes at top-tier architecture venues including MICRO, ISCA, and ASPLOS. IEEE Micro Top Picks (3 papers) Communications of the ACM Research Highlight MICRO Conference Hall of Fame NVIDIA Academic Partnership Award (2010) NSERC Discovery Accelerator (2016-2019) Google Faculty Research Award (2016) SAMSUNG Global Research Outreach Award (2023) IISWC 2023 Best Paper Award Professor Aamodt has advised numerous graduate students who have gone on to positions at leading technology companies including Google. His research has been supported by major grants from NSERC, NVIDIA, Google, and Samsung. He has served in leadership roles including Program Chair for ISPASS 2013 and General Chair for ISPASS 2014, and was a Visiting Associate Professor at Stanford University during his 2012-2013 sabbatical. His group maintains active collaborations with industry partners and has produced influential open-source tools including GPGPU-Sim and Vulkan-Sim.

Martin Marinovمشاهده پروفایل

پژوهشگر

• Computer Graphics
• Geometric Modeling
• 3D Mesh Processing
• +۳ مورد دیگر

Dr. Martin Marinov is a researcher affiliated with RWTH Aachen University, specializing in computer graphics, geometric modeling, and 3D mesh processing. His work focuses on multiresolution modeling, subdivision surfaces, and GPU-accelerated algorithms for real-time rendering. Research areas: Subdivision surfaces, quad-dominant remeshing, scattered data approximation, and GPU computing. His publications include innovative methods for mesh decimation, feature preservation, and anisotropic remeshing, with applications in computer graphics and geometric modeling. Marinov has contributed to optimizing parameter correction for subdivision surfaces and developing robust algorithms for complex 3D models.

Henrik Zimmerمشاهده پروفایل

پژوهشگر

• Computer Graphics
• Geometry Processing
• 3D Modeling
• +۵ مورد دیگر

Dr. Henrik Zimmer is a researcher at RWTH Aachen University specializing in computer graphics and geometry processing. His work bridges theoretical computational geometry with practical applications in digital fabrication, medical visualization, and industrial manufacturing. Affiliated with the Department of Computer Science, he has made significant contributions to mesh processing, 3D modeling, and optimization algorithms for real-world applications. His research focuses on geometry optimization for fabrication constraints, including Zometool-based approximation of freeform surfaces and rationalization of point-folding structures. Key interests include Mesh processing and topology preservation Variational methods for planar polygonal meshing Mixed-integer optimization for quadrangulation Medical visualization techniques for diffusion fiber tracking Industrial vision systems for laser welding process control His publication record shows consistent innovation from 2006 to 2014, with recent work emphasizing digital fabrication and practical optimization for consumer-level manufacturing. Notable scientific contributions include: Efficient algorithms for shortest path-concavity computation in 3D meshes Interactive volume-based visualization for diffusion MRI data Rationalization methods reducing fabrication costs by over 90% Novel approaches to melt pool monitoring in industrial welding Zimmer's collaborative work with Leif Kobbelt demonstrates strong industry-academia connections, particularly in translating geometric algorithms to manufacturing applications. His research spans both theoretical computer graphics (SIGGRAPH, Eurographics) and industrial applications (laser welding process control), reflecting a unique interdisciplinary approach. Current work focuses on making advanced geometric modeling accessible through personal fabrication technologies.

• Computer Graphics
• Shape Modelling
• Computer Animation
• +۱۰ مورد دیگر

Marie-Paule Cani is a Professor of Computer Science at Ecole Polytechnique (IP Paris), where she serves as Dean of the Master of Science and Technology program. She is a member of the Académie des sciences and leads research in the LIX laboratory (CNRS/Ecole Polytechnique, IP Paris). Her career spans several prestigious institutions including Grenoble INP and Collège de France. Dr. Cani earned her M.Sc. in Computer Science from Ecole Normale Supérieure & University Paris XI in 1987, followed by a Ph.D. in Computer Graphics from University Paris XI in 1990 under advisor Claude Puech. She completed her Habilitation in Computer Science from Institut National Polytechnique de Grenoble in 1995. Professor Cani's research focuses on advancing user-centered, creative 3D modeling and animation systems. Her work aims to develop intelligent systems that help users express shapes in motion they have in mind, whether they are computer artists, engineers, or scientists from other disciplines. She pioneered methodologies that provide expressive, gesture-based control (such as sketching, deformation, copy-pasting) while augmenting graphical models with knowledge from priors or statistics learned from examples. Her research spans multiple areas including implicit surfaces, developable surfaces, procedural models, physically-based animation, and sketch-based modeling. Her recent publications demonstrate a continued focus on innovative approaches to 3D modeling, animation, and simulation. Her work bridges computer graphics with applications in geology, biology, and virtual environments. Recent trends show increasing integration of machine learning techniques with traditional graphics approaches, particularly in procedural modeling and animation control. ACM Siggraph Steven A. Coons Award (2023) Member of the ACM Siggraph Academy (2019) Member of Academia Europaea (2013) Silver medal from CNRS (2012) EUROGRAPHICS award for Outstanding Technical Contributions (2011) Irène Joliot Curie national award, mentorship category (2007) Junior member of the Institut Universitaire de France (1999) Professor Cani has supervised numerous students throughout her career and has led multiple significant research projects funded by prestigious organizations. Her ERC Advanced Grant EXPRESSIVE (2012-2017) focused on EXPloring RESponsive Shapes for the creation of Interactive Virtual Environnements. She created and led the STREAM Team at LIX from 2016-2019. More recently, she has been Principal Investigator in the chair between Google and Ecole Polytechnique on Artificial Intelligence & Visual Computing (2018-2021), and in the International Training Network CLIPE (2020-2024), funded by the European Research Council. She currently leads the interdisciplinary project Paleomob-3D (2023-2026) between LIX and HNHP, funded by CNRS 80-Prime. Professor Cani has led several research teams throughout her career, including the Imagine joint team (Inria/LJK lab, 2011-2016) and the Evasion joint team (Inria/GRAVIR lab, 2003-2010). She currently leads research in the LIX laboratory at Ecole Polytechnique, where she was the leader of the "Modeling Simulation and Learning" pole from 2019 to 2023.

Julian Alexanderمشاهده پروفایل

مدرس ارشد

• Film production
• Screenwriting
• Directing
• +۶ مورد دیگر

Julian Alexander is a Senior Lecturer in Film Production at the University of East London, affiliated with the School of Arts and Creative Industries and the Department of Media, Fashion & Communications. As a filmmaker from Las Cruces, New Mexico, he bridges stage, screen, and immersive storytelling through interdisciplinary collaboration. Education MFA from Northern Film School, Leeds, UK BFA from New Mexico State University’s Creative Media Institute Research Interests Agile storytelling techniques aligned with evolving industry standards Collaborative and interdisciplinary creation across stage, screen, and virtual environments Innovative use of rap as a core storytelling mechanism Performance integration in film and immersive media Publications & Projects Trailers: Layla, At Last (2019), Beat Blue (2018), Léo (2017) Web series: Bad JuJu (phone-based storytelling) Awards & Recognition Royal Student Television Award nomination for Léo Teaching & Industry Engagement Lead instructor for BA (Hons) Acting for Stage and Screen Practice-led learning with industry partners: Kino London, Pili Mili Films Media Champion role fostering industry connections

• Networked Systems
• Software-Defined Networking
• Data Center Architectures
• +۷ مورد دیگر

Professor Brighten Godfrey is a faculty member in the Department of Computer Science and an affiliate of the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign. He earned a Ph.D. in Computer Science from UC Berkeley (2009) and a B.S. from Carnegie Mellon University (2002). His research spans networked systems with a focus on low-latency networking , software-defined networks , microservices , and machine learning for networks . Ph.D. (2009) and B.S. (2002) in Computer Science Professor at UIUC since 2021 Technical Director at VMware (acquired Veriflow in 2019) His recent publications address microservice tracing , cluster verification , and mobile acceleration , with high-impact applications in XR systems and low-latency networks . Awards include the ACM SIGCOMM Rising Star Award , Sloan Research Fellowship , and multiple best paper and dataset awards . He has chaired program committees for SIGCOMM and HotNets . Teaching honors include Excellent Teacher and Outstanding Advising Awards . His research group has produced alumni now at institutions like Meta, Google, and ETH Zurich. Current projects include Service Layer Traffic Engineering (SLATE) and Learning-Based Congestion Control (Aurora, PCC).

Hyun Soo Parkمشاهده پروفایل

دانشیار

• Computational Social Intelligence
• Computer Vision
• Robotics
• +۴ مورد دیگر

Hyun Soo Park is an Associate Professor at the University of Minnesota, Twin Cities in the Department of Computer Science & Engineering . As a McKnight Presidential Fellow , his research focuses on computational social intelligence and egocentric perception , developing algorithms to model human interaction through gaze, facial expressions, and body gestures. He leads the Gemini-Huntley Robotics Research Lab and has secured major grants including NSF CAREER , Toyota Research Institute , and multiple NSF awards. Education : Ph.D. in Computer Science Teaching : Courses on 3D Computer Vision, Computer Vision, and Computational Linear Algebra (2017-2021) Research : Pioneering egocentric video analysis , 3D social signal modeling , and behavioral imaging with applications to robotics and human-computer interaction Scientific Awards include: NSF CAREER Award McKnight Presidential Fellow Guillermo E. Borja Award CVPR Best Paper Honorable Mention Grants secured: TRI (2021-2024) NSF NRI (2020-2023) NSF NCS (2020-2023) NIH R34 (2020-2022) NSF CRII (2018-2021) Minnesota Futures (2018-2021) Team includes: Meng-Yu Jennifer Kuo (Postdoc) 5 Ph.D. students (Yasamin Jafarian, Zhixuan Yu, etc.) Co-advised students with Prof. Roumeliotis and Prof. Guy Past members now at 3M and Adobe Research

• Reinforcement Learning
• Neural Networks
• Probabilistic Rules
• +۴ مورد دیگر

Christopher Child serves as a Lecturer in Computer Science at City, University of London, a position held continuously since February 2008. His academic foundation includes a PhD in Computer Science from City, University of London (2011), an MSc in Cognitive Science from the University of Birmingham (1993-1994), and undergraduate studies in Computer Science at the same institution (1990-1993). His research portfolio demonstrates deep expertise in artificial intelligence with three core pillars: reinforcement learning systems for game AI, computer vision applications for hand pose estimation, and neural network implementations for clinical text analysis. Early work established foundational contributions to Q-learning and behavior tree integration (QL-BT, 2013), while recent publications explore cutting-edge applications of non-Euclidean geometry in video games (2025) and ClinicalBERT for medical classification (2024). His methodology consistently bridges theoretical AI with real-time practical implementations, particularly evident in stereo vision systems for hand depth recovery. Publication trends reveal an evolution from pure reinforcement learning (2004-2013) toward interdisciplinary applications combining computer vision, gaming, and healthcare. His 21 verified works show strong institutional continuity at City, University of London with frequent collaboration across computer science and medical domains. While no specific laboratory affiliation is documented, his work on the Extreme AI Personality Engine (2016) and Kinect motion recognition toolkit suggests active development of experimental systems for human-AI interaction.

Scott McDermottمشاهده پروفایل

استادیار

• Physics
• Music
• Computer Science
• +۲ مورد دیگر

Scott McDermott is an Assistant Professor in the Department of Mathematics at Loyola University New Orleans, serving as Associate Chair since Fall 2015. His expertise bridges physics, music, and computer science , focusing on 3D acoustic modeling for virtual reality systems. Ph.D. in Computer Science (University of Louisiana at Lafayette, 2014) Prior instructor at Southeastern Louisiana University's College of Business Research concentrates on realistic sound reproduction in virtual environments, with recent work targeting acoustic accuracy in VR . Publications include a 2014 dissertation and a 2007 paper in The Journal of the Acoustical Society of America . Scientific contributions emphasize audio-visual integration , spatial audio modeling , and real-time acoustic simulation for immersive systems. Contact: smcdermo@loyno.edu | Personal Website

Jean Le Feuvreمشاهده پروفایل

استادیار

• Multimedia Systems Architecture
• Interactive Media Production and Streaming
• MPEG Standardization
• +۴ مورد دیگر

Jean Le Feuvre is a lecturer and researcher (equivalent to Assistant Professor) in the Image, Data, Signal (IDS) department at Télécom Paris , an active member of the MPEG standardization body since 2000, and the creator of the open-source multimedia platform GPAC . He belongs to the Multimedia (MM) research team within the Information Processing and Communication Laboratory (LTCI). Research Interests: His work spans multimedia systems architecture, focusing on authoring, coding, transmission, composition, and rendering of interactive, animated contents that mix audio, video, text, images, and dynamic metadata. Key areas include: MPEG-DASH adaptive streaming and low-latency delivery ISO Base Media File Format (ISOBMFF) design and extensions HEVC/VVC-based tiled and layered media Media encryption and selective protection (Common Encryption, CENC) Hybrid broadcast–broadband services Open-source multimedia toolchains (GPAC ecosystem) Standards & Publications Trend: Over the past two decades Le Feuvre has continuously contributed to, and edited, core MPEG standards such as ISOBMFF, DASH, Common Encryption, and scene description languages. His recent 2024-2025 patents and papers emphasize low-latency streaming, efficient encapsulation of partitioned (tiled) media, robust indexing/repair mechanisms, and improved random access—demonstrating a clear trajectory toward real-time, adaptive, and secure next-generation media delivery. Scientific Awards & Honors: While no specific named awards are listed, his long-standing role as MPEG standard editor and his continuous leadership of the widely adopted GPAC open-source platform constitute significant recognition within the multimedia research community. Teaching & Supervision: He teaches Master-level courses on Multimedia Networking (M2R AV Transport & Content Security) and mentors multidisciplinary first-year student projects (PACT, PAF, ARTEFACT). He also serves as scientific contact for internships and provides corporate training on Digital TV, Mobile TV, Video over IP, and 3D TV through Télécom Paris. Laboratory & Teams: Le Feuvre is embedded in the LTCI laboratory and leads development within the GPAC open-source community, coordinating contributions to reference software, conformance tools, and end-to-end streaming solutions.

• Computer Graphics
• 3D Modeling and Reconstruction
• Image Processing
• +۴ مورد دیگر

Rémi Synave is an Associate Professor in the Department of Computer Science at the University of Strasbourg's Faculty of Science. His academic career spans over 15 years with continuous research output from 2006 to present, demonstrating sustained scholarly activity in computer graphics, 3D modeling, and interdisciplinary applications. Dr. Synave's research spans multiple domains with a strong focus on geometric algorithms, 3D reconstruction, and imaging applications. His work bridges computer science with anthropology, medicine, and cultural heritage preservation. Key research themes include geodesic path computation on triangular meshes, 3D surface reconstruction algorithms, medical imaging applications, and digital anthropology. His publications demonstrate consistent contributions to both theoretical computer graphics and practical applications across diverse fields. Analysis of his publication history reveals a strong trajectory from foundational geometric algorithms toward increasingly interdisciplinary applications. Early work focused on computational geometry and 3D reconstruction algorithms, while more recent publications demonstrate expansion into educational technology, image composition analysis, and digital humanities applications. His research consistently applies computer graphics techniques to solve domain-specific problems in anthropology, medicine, and cultural heritage. Rémi Synave maintains active collaborations with researchers across multiple institutions, particularly with Stefka Gueorguieva, Pascal Desbarats, and colleagues in anthropology and medical fields. His work on the Strasbourg Juvenile Collection represents a significant interdisciplinary contribution to digital anthropology. While specific teaching details aren't provided in the available materials, his publication on interdisciplinary arcade cabinet projects indicates innovative educational approaches. His laboratory work appears centered on 3D scanning, reconstruction, and visualization, with applications spanning from medical diagnostics to cultural heritage preservation. The consistent focus on algorithm development for geometric problems demonstrates a strong technical foundation applied across diverse practical contexts.

• Digital Art
• Bioengineering
• Computer-Aided Design
• +۱۱ مورد دیگر

Jesus Alonso Alonso is a Researcher at the Department of Computer Science within the Faculty of Informatics of Barcelona (FIB) at the Technical University of Catalonia . His work bridges computational methods with geotechnical engineering challenges. Research Interests: Digital terrain modeling, bioengineering, computer-aided design, virtual reality, simulation, and video game development. His publications also reflect expertise in soil mechanics, landslide analysis, and mineral precipitation impacts on infrastructure. Key Projects: Development of novel data structures like the grounded heightmap tree for terrain representation, real-time rendering of dynamic terrains, and geotechnical studies on expansive claystones and liquefaction-induced landslides. Collaborations: Active with research groups such as ViRVIG (Visualization, Virtual Reality, and Graphic Interaction) and GIE (Informatics in Engineering).

• Computer Science
• Machine Learning
• Image Generation
• +۳ مورد دیگر

Zongze Wu is a researcher affiliated with Adobe Research , Hebrew University of Jerusalem (Center for Brain Sciences) , Shenzhen University (College of Mechatronics and Control Engineering) , and National Taiwan University (Department of Electrical Engineering and Computer Science and Information Engineering) . His work focuses on machine learning , diffusion models , and image generation using techniques like StyleGAN. Key research contributions include: Advancements in text-to-image synthesis (TurboFill, StyleCLIP). Interactive image editing (Lazy Diffusion Transformer, TurboEdit). Analysis of generative model architectures (StyleAlign, StyleSpace). His publications span top venues like CVPR , ECCV , ICCV , and ICLR , emphasizing applications in generative AI , neural networks , and computer vision . Collaborators include leading experts from institutions like Hebrew University, Adobe Research, and MIT.

Anders Loggمشاهده پروفایل

استاد

• Digital Twin Cities
• Finite Element Methods
• Computational Fluid Dynamics (CFD)
• +۵ مورد دیگر

Anders Logg is a Professor of Computational Mathematics at Chalmers University of Technology , Sweden. He serves as Director of the Digital Twin Cities Centre and leads the interdisciplinary VirtualCity@Chalmers project, aiming to build digital twins of urban environments for simulating traffic, wind flow, pollution dispersion, and flooding. Expertise in finite element methods and FEniCS software development Pioneer in mesh generation with tools like mshr Active in scientific computing and domain-specific languages His research team includes experts in mathematical modeling, Unreal Engine development, and building information modeling . Recent work focuses on integrating IoT with digital twins for energy management and developing scalable simulation frameworks for urban planning. Key research trends across publications include: Digital twin technologies for urban environments Mesh generation in complex geometries Multiphysics simulations (fluid dynamics, heat transfer) Automated computing through domain-specific languages Machine learning integration with urban modeling