جست‌وجوی استاد و پژوهشگر

Julie Andreyevمشاهده پروفایل

دانشیار

• Acoustic Ecology
• Multispecies Collaboration
• Ecological Ethics
• +۷ مورد دیگر

Dr. Julie Andreyev is an Associate Professor in the Audain Faculty of Art at Emily Carr University of Art + Design. Her work bridges art and ecology, focusing on multispecies collaboration and biophilic ethics. She teaches courses in New Media + Sound Arts and Critical Studies. Education: PhD in Biophilic Ethics and Creativity with More-Than-Human Being from Simon Fraser University (2016). Research Interests: Interspecies creativity Eco-poetics and soundscapes Climate emergency adaptation Acoustic ecology Animal ethics in art Urban forest ecosystems Grants & Support: 2021 Art Apprenticeship Network Grant 2018 Emily Carr University Internal Research Grant Funded by Canada Council for the Arts and SSHRC Key Projects: Bird Park Survival Station (2015-ongoing) – climate emergency project with local birds Branching Songs (2024) – multispecies art project with old-growth trees Wild Empathy (2018) – VR project for ecological empathy EPIC_Tom (2014-16) – canine creativity performance Vegan Congress (2013) – activist art collective Publications: Lessons from a Multispecies Art Studio (2021 book), Responding to Dogs (2017 essay), and articles in BC Studies , Humanimalia , and Public Art Dialogue . Labs/Teams: Her Animal Lover studio and collaborations with researchers like Simon Lysander Overstall.

Michael Wimmerمشاهده پروفایل

استاد

• Computer Graphics
• Real-Time Rendering
• Procedural Modeling
• +۴ مورد دیگر

Michael Wimmer is a Full Professor at TU Wien, leading the Rendering and Modeling Group and directing the Center for Geometry and Computational Design. He holds a M.Sc. (1997) and Ph.D. (2001) from TU Wien. His research focuses on real-time rendering, procedural modeling, computational design, and point-based graphics. He has co-authored over 200 papers and the book *Real-Time Shadows*. He serves as Co-Editor-in-Chief of Computer Graphics Forum , chairs SIGGRAPH Asia 2025, and received the Eurographics Outstanding Technical Contributions Award (2023). Education: M.Sc. in Computer Science (1997), TU Wien Ph.D. in Computer Science (2001), TU Wien Research Interests: Real-time rendering and visualization Procedural modeling and computational design Point-based graphics and neural rendering Applications in computer games and urban environments Awards: Eurographics Outstanding Technical Contributions Award (2023) Wolfgang Straßer Award (Best Paper, 2022) Eurographics Fellow (2018) Outstanding Service Award (2012) Advising & Grants: Coordinator of the Special Research Programme Advanced Computational Design Key researcher at VRVis Research Center Labs & Teams: Rendering and Modeling Group Center for Geometry and Computational Design

• Augmented Reality
• Virtual Reality
• Human-Computer Interaction
• +۳ مورد دیگر

Bruce H. Thomas is a Professor at the University of South Australia, specializing in Augmented Reality (AR), Virtual Reality (VR), and immersive systems. His research focuses on spatial computing, human-computer interaction, and the application of mixed reality in domains like collaborative analytics, architectural design, and healthcare. Key contributions include foundational work on ARQuake (the first outdoor AR game), spatial interaction techniques, and immersive analytics frameworks. He has authored over 280 publications across venues like IEEE Transactions on Visualization and Computer Graphics (TVCG), ISMAR, and CHI. His work spans theoretical studies on cognitive load and EEG responses to AR, as well as applied systems like GeoGate for geo-temporal data visualization. Dr. Thomas collaborates extensively with industry partners (e.g., automotive, energy sectors) and academic institutions globally. His projects emphasize real-world applications, including crime scene reconstruction for legal evidence presentation, VR-based architectural reviews, and haptic interfaces for surgical training. He co-edited the seminal book Emerging Technologies of Augmented Reality (2007) and serves on editorial boards for top journals. His lab's innovations include adaptive portals in VR, proxy-based situated visualizations, and systems for collaborative decision-making in high-stakes environments. Current research explores AI integration with immersive systems and AR-driven solutions for complex data analysis tasks.

• Computer graphics
• Geometry processing
• Computer-aided geometric design
• +۶ مورد دیگر

Leif Kobbelt is a Full Professor of Computer Science and Head of the Visual Computing Institute at RWTH Aachen University . He previously held academic positions at the Max-Planck-Institute for Computer Science, University of Erlangen-Nürnberg, and University of Wisconsin-Madison. Diploma in Computer Science (1992), Karlsruhe Institute of Technology PhD in Computer Science (1994), Karlsruhe Institute of Technology His research focuses on computer graphics and geometry processing , with specific interests in 3D reconstruction, quad mesh generation, real-time rendering, and geometric modeling algorithms. He has pioneered techniques for efficient mesh processing, anisotropic geodesic computation, and procedural facade visualization. Recent publications analyze nonlinear constraints in geometric modeling, quad layout optimization, and real-time rendering techniques. Key themes include mesh parameterization, multiresolution analysis, and computational geometry for interactive applications. Scientific recognitions include: 2014 Gottfried Wilhelm Leibniz Prize (Germany's most prestigious research award) 2013 ERC Advanced Grant (ACROSS project) 2008 Eurographics Fellow 2004 Eurographics Outstanding Technical Contribution Award 2000 Heinz-Maier-Leibnitz Award He leads major research initiatives like the excellence clusters UMIC (€40M) and AICES (€15M), and the ERC-funded ACROSS project (€2.5M, 2014-2018). He serves as principal investigator and reviewer for international journals and organizations.

Matthew Butlerمشاهده پروفایل

دانشیار

• Inclusive Technologies
• Accessible Graphics
• Assistive Technologies
• +۴ مورد دیگر

Matthew Butler is an Associate Professor in the Department of Human-Centred Computing at Monash University's Faculty of Information Technology. His research focuses on Inclusive Technologies , particularly improving access to visual information for people who are blind or have low vision (BLV) through innovations like 3D printing, conversational agents, and multisensory interfaces. He has over 20 years of academic experience and held leadership roles including Deputy Dean (Education) and Associate Dean (Learning and Teaching). Education: PhD in Computing Education (Monash University, 2010) Graduate Certificate of Higher Education (Monash University, 2006) Bachelor of Engineering (Electronic and Computer Engineering, Monash University, 1996) Research Interests: Matthew’s work emphasizes participatory design with the BLV community, addressing challenges in data exploration, orientation/mobility, arts/culture access, and education . Key projects include accessible data visualization systems, inclusive museum experiences, and tactile navigation tools. His contributions align with UN Sustainable Development Goals related to education and disability inclusion. Grants & Projects: Accessible Data Exploration and Analysis for Blind People (Australian Research Council, 2023–2027) Inclusive Gallery Experiences: Bendigo Art Gallery Project (Helen Macpherson Smith Trust, 2019–2022) Co-leads the Monash Assistive Technology and Society Centre’s Education Pillar Awards: Senior Fellow of the Higher Education Academy Labs/Teams: Active contributor to Monash’s Assistive Technology and Society research initiatives, focusing on multisensory design for disability inclusion.

Lisa Leeمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Reinforcement Learning
• Continual Learning
• +۵ مورد دیگر

Lisa Lee is a Research Scientist at Google DeepMind, focusing on creating AI agents that emulate biological learning and adaptability. She previously taught at Princeton University and received TA awards for Deep Reinforcement Learning and Probabilistic Graphical Models. Education: PhD in Machine Learning from Carnegie Mellon University (advised by Ruslan Salakhutdinov and Eric Xing); A.B. in Mathematics from Princeton University (advised by Sanjeev Arora). Her research centers on AI embodiment, intrinsic motivation, and hierarchical planning. She explores how evolutionary-inspired inductive biases and memory mechanisms can enable agents to generalize across physical and conceptual domains, as demonstrated in her work on robotic agility benchmarks and multimodal transformers. Notable scientific contributions include the Barkour quadruped robot benchmark, Gemini multimodal models, and theoretical work on causal language models. She co-organized key AI workshops at NeurIPS and ICML, and her awards include Princeton's TA of the Year for technical courses. Leadership: ICML Workflow Chair (2019), NeurIPS workshop co-organizer (2019, 2021), peer reviewer for top AI conferences.

Craig Leonardمشاهده پروفایل

استاد

• Contemporary Art Practices
• Interdisciplinary Art
• Sound Art
• +۳ مورد دیگر

Craig Leonard is a Professor at Nova Scotia College of Art and Design (NSCAD), serving as Director of the MFA Program (Jan. 1–June 30, 2025). His work spans artist publications, sound art, performance, and sculpture, with exhibitions at venues like Central Art Garage (Ottawa), Darling Green (New York), and Double Happiness (Toronto). His research interests focus on interdisciplinary art practices, blending conceptual frameworks with material exploration. Notable publications include Uncommon Sense: Aesthetics after Marcuse (MIT Press, 2022) and curated projects like NSCAD Printed Matter at the NY Art Book Fair (2017–2019). Leonard has received awards such as the 2012 Canada Council for the Arts International Residency Grant and was long-listed for the Sobey Art Award (2008). He has held residencies globally, including at MASS MoCA (2018) and Acme Studios (London, 2012). His curatorial work includes co-curating Velcro Gallery (Halifax, 2012) and Friends of Freiheit (North Adams, 2012). He serves on the Board of Turret Arts Space since 2014 and was a past Board member of the Khyber (2008–2018). Leonard’s artistic output includes solo exhibitions such as Libros Libres (Curtidas Art Space, Barcelona, 2025) and group shows like Blank. Raw. Illegible... (Leopold–Hoesch–Museum, Germany, 2023). His sound projects include collaborations with musicians like Tim Crofts and Jerry Granelli.

• Computer Vision
• Computer Graphics
• Machine Learning
• +۴ مورد دیگر

Dr. Marc Habermann is a Tenured Senior Researcher and Scientific Manager of the Real Virtual Lab at the Max Planck Institute for Informatics (Department 6: Visual Computing and Artificial Intelligence). He leads the Graphics and Vision for Digital Humans research group, focusing on cutting-edge technologies in Computer Vision, Computer Graphics, and Machine Learning. His work emphasizes real-time human performance capture, photorealistic animation synthesis, and generative 3D human models derived from video data. Research Interests: Computer Vision, Computer Graphics, Machine Learning, Human Performance Capture, Non-Rigid Deformation Reconstruction, Neural Rendering, and Motion Capture. His contributions span topics like Gaussian splats optimization, sparse-view avatar synthesis, and physics-based cloth simulation. Awards: Saarland University Associate Fellow (2025) Key Publications (2025): Second-order Optimization of Gaussian Splats with Importance Sampling (arXiv) GIGA: Generalizable Sparse Image-driven Gaussian Avatars (arXiv) EVA: Expressive Virtual Avatars from Multi-view Videos (Siggraph 2025) Labs & Projects: Manages the Real Virtual Lab and heads the Graphics and Vision for Digital Humans group, advancing technologies for digital human avatars and immersive telepresence systems.

• Visual Computing
• Computer Vision
• Computer Graphics
• +۱۱ مورد دیگر

James Tompkin is a visual computing researcher focusing on computer vision, computer graphics, and human-computer interaction. His lab develops techniques for image and video creation, editing, analysis, and interaction, emphasizing image and scene reconstruction from multi-camera systems and complex dynamic scenes. Applications span 2D, multi-view, and VR/AR displays. His research interests include scene reconstruction, neural rendering, light fields, time-of-flight sensors, and perceptual design for augmented reality. He works on algorithms for depth estimation, view synthesis, and interactive systems. His publications demonstrate expertise in neural fields, Gaussian splatting, and light field processing for VR/AR applications. Key themes include machine learning for scene flow estimation, efficient rendering of large-scale environments, and improving generative model stability.

Dominique Bechmannمشاهده پروفایل

استاد

• Computer Graphics
• Geometric Modeling
• 3-D Interaction in Virtual Reality
• +۳ مورد دیگر

Dominique Bechmann is a **Professor of Computer Science** at the University of Strasbourg, affiliated with the **Department of Computer Science** within the **Sciences Collegium**. He is also a researcher at the **ICube Lab** (UMR 7357 CNRS-University of Strasbourg). His academic career spans over three decades, including roles as Head of the IGG Computer Graphics and Geometry research group (1997–2022) and Head of the National Research Group GdR IG-RV (2014–2021). He holds a Habilitation (1995) and PhD (1989) from the University of Strasbourg, with postdoctoral research at IBM's Thomas Watson Research Center (1989–1990). His research focuses on **Computer Graphics**, **Geometric Modeling**, and **Virtual Reality**, with key contributions in free-form deformation, 3D modeling of anatomical structures, and interaction techniques in immersive environments. He has led projects like the ICT-Asian initiative on Virtual Reality (2004–2007) and organized conferences such as AFRV 2012 and AFIG-EG France 2005. His teaching spans undergraduate and graduate levels in algorithms, computer graphics, and computational geometry. Bechmann has held numerous leadership roles, including Head of the Computer Science Department (1997–2000), Vice-Head of LSIIT Lab (2009–2012), and member of the National Commission of Universities (CNU) section 27 (2007–2011). His work bridges theoretical computer graphics with practical applications in medicine, architecture, and collaborative systems.

Steven M. Druckerمشاهده پروفایل

استاد مدعو

• Data Visualization
• Human-Computer Interaction
• Machine Learning
• +۵ مورد دیگر

Steven M. Drucker is a Partner Research Manager at Microsoft Research's Visualization and Interactive Data Analysis (VIDA) group and an adjunct professor at the University of Washington's Computer Science and Engineering Department. With a 30+ year career, he has published over 100 papers and holds 130+ patents, focusing on data visualization, human-computer interaction, and machine learning. His work emphasizes tools like SandDance and Thumbtack to democratize data analysis and storytelling. He earned his Ph.D. from MIT Media Lab (1994), master's from MIT's AI Lab, and a neuroscience degree from Brown University. Affiliations: Microsoft Research, University of Washington Educations: Ph.D. MIT Media Lab (1994), M.S. MIT AI Lab, B.S. Brown University (Neurosciences) Research interests include data visualization techniques, interactive analytics, and bridging the gap between data and human understanding. His work spans visual storytelling, exploratory search, and immersive analytics. Notable contributions include foundational papers on unit visualizations, interactive machine learning tools, and visualization frameworks like Atom and Refinery . Key articles highlight advancements in AI-driven visualization (e.g., Data Formulator 2 ) and model interpretability ( What Did My AI Learn? ). He actively chairs conferences like SIGCHI and contributes to open-source tools like SandDance and MorphCharts.

Simon Lacoste-Julienمشاهده پروفایل

دانشیار

• Machine Learning
• Optimization
• Deep Learning
• +۵ مورد دیگر

Simon Lacoste-Julien is an Associate Professor at Université de Montréal, affiliated with the Department of Computer Science and Operations Research (DIRO). He also serves as the Associate Scientific Director of Mila – Quebec Institute of Artificial Intelligence and holds the position of Vice President Lab Director at Samsung SAIT AI Lab Montreal (SAIL). His research focuses on machine learning, optimization, and their applications in areas like deep learning, generative models, causality, and computer vision. Lacoste-Julien has held academic positions at INRIA in Paris and has a PhD from UC Berkeley, with postdoctoral work at the University of Cambridge. He teaches advanced graduate courses on probabilistic graphical models and structured prediction. His work includes contributions to optimization algorithms (e.g., Frank-Wolfe methods), causal discovery, and generative models. Lacoste-Julien has supervised numerous students and postdocs, and his awards include being a CIFAR Fellow and Canada CIFAR AI Chair. His research spans theoretical foundations and practical applications, with a strong emphasis on scalable and efficient machine learning techniques.

• Visual Communication Design
• Typography
• Industrial Design
• +۳ مورد دیگر

Mirosław Rekowski is a Lecturer and Research Assistant at the Department of Fundamentals and Design Methodology, Faculty of Architecture and Design at the Academy of Fine Arts in Gdańsk. He also collaborates with WSB University and the University of Gdańsk in teaching roles. His work focuses on visual communication systems, typography effectiveness, and the role of design in cultural identity preservation. Education: Graduate of the former PWSSP (now ASP Gdańsk) Faculty of Interior Architecture and Industrial Design. Co-founder of the START Design Group (1993–1997). Research Interests: The interplay between simple objects and group identity construction, archetypal visual communication patterns, typography's role in message efficacy, and design as problem-solving methodology. He emphasizes harmony in design elements and user-centric communication strategies. Professional Achievements: Over 100 implemented visual identity systems, Design of the Year 2007, Vidical and Idea Awards. Notable projects include the European Solidarity Centre exhibition design, Sony Music CD packaging, and Eldro Group's critical infrastructure UI systems. Grants & Collaborations: Extensive client work across cultural institutions, corporations (Eldro, Izipak), and academic publishing. Maintains his own design studio focusing on strategic visual communication solutions. Labs/Teams: Active in multidisciplinary design collaborations, particularly with architectural and industrial design teams. Core contributor to the START Design Group's legacy projects.

Andreas Thorمشاهده پروفایل

استاد

• Database Systems
• Data Integration
• Entity Resolution
• +۱۲ مورد دیگر

Andreas Thor is affiliated with the University of Applied Sciences for Telecommunications Leipzig, Germany. He has been actively publishing in computer science since 2004, with a focus on database systems, data integration, bibliometrics, and educational technology. His research spans several domains, including database systems, entity resolution, ontology matching, and more recently, e-assessment and digital learning tools. He has made significant contributions to bibliometrics through the development and application of CRExplorer for Reference Publication Year Spectroscopy (RPYS). His work also includes the design of educational tools like DMT and FeeDI for automated assessment in higher education. The recent articles (2021–2023) reflect a strong trend toward educational technology, particularly in the development of tools for e-assessment, Jupyter Notebook integration, and knowledge graphs for learning. Earlier works (2004–2012) focus on core database research such as entity resolution, data fusion, and MapReduce-based systems. The publications collectively demonstrate a transition from foundational database research to applied educational informatics. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: No information is available regarding students advised or grants received. However, his extensive publication record and leadership in workshop proceedings (e.g., GI-Workshop Grundlagen von Datenbanken) suggest involvement in academic mentoring and collaborative research initiatives. Labs and Teams: Andreas Thor has collaborated extensively with researchers at the University of Leipzig, particularly with Erhard Rahm, Toralf Kirsten, and Stefanie Scherzinger. His work on bibliometrics involves collaboration with Lutz Bornmann, Loet Leydesdorff, and Robin Haunschild. These collaborations indicate participation in research groups focused on data management and scientometrics.

Michael Wimmerمشاهده پروفایل

استاد

• Computer Graphics
• Real-Time Rendering
• Point Clouds
• +۴ مورد دیگر

Univ.Prof. Michael Wimmer is a Professor in the Department of Computer Graphics and Visualization at TU Wien's Faculty of Informatics. His research focuses on real-time rendering, point cloud processing, GPU computing, and computational design. He leads projects involving architectural visualization, thermal simulation, and integrative design frameworks combining 4D sketching with material modeling. His work bridges computer graphics with applications in architecture and engineering. ORCID: 0000-0002-9370-2663 Research Group: Network Lab Recent research emphasizes GPU-accelerated algorithms (e.g., LOD generation for 2 billion points), real-time rendering techniques, and deep learning approaches for surface reconstruction. Collaborations span thermal simulation with civil engineers and 4D design tools for architects. Notable contributions include: Developing PPSurf for detailed surface reconstruction using point convolutions Advancing Vulkan-based rendering pipelines in academic settings Integrating light polarization for HDR imaging His lab explores applications in architectural design metaphors, computational material assessment via GeoRadar, and thermal simulation using precomputed radiative transport. Students under his supervision focus on GPU optimization, 3D reconstruction, and VR ergonomics.