Philip Dutré is a full professor at the Department of Computer Science , Faculty of Engineering Science , KU Leuven. He leads the Computer Graphics Research Group and chairs the Human-Computer Interaction division . His teaching portfolio includes courses on algorithms, data structures, and computer graphics fundamentals. Research Focus : Rendering algorithms, photo-realistic and image-based rendering, perceptual-based rendering, material models, and intuitive controls for computer animation. He explores deep learning applications in global illumination and uses quantum field theory for efficient light transport in participating media. Publications : Recent work includes advancements in temporal coherence for light transport (2017–2023), functional integrals for scattering models (2025), and optimization of spatial data structures (2019). Teaching Innovations : Advocate for ungrading (feedback-only assignments), flipped classroom techniques, and interactive learning. His approach emphasizes conceptual understanding over rote memorization, with structured, self-contained lessons and active student engagement. Leadership : Serves on multiple academic councils and committees including the Commission on Research Integrity and Student Services Council .
Oliver Nash is a researcher at Imperial College London, actively engaged in the formalisation of advanced mathematical concepts. His work bridges geometry and computational logic, with a focus on rigorous proof systems. Research Interests: Oliver's research lies at the intersection of geometry and the formalisation of mathematics. He specialises in using proof assistants to verify deep mathematical results, including topics such as the h-principle, sphere eversion, and Lie algebras. His work contributes to the growing field of certified mathematics, ensuring correctness through machine-checked proofs. Publication Trends: His recent publications at the CPP conference demonstrate a consistent focus on formalising foundational results in differential geometry and algebra. These works reflect a trend toward computational trust in mathematical proofs, particularly in complex geometric transformations and algebraic structures. Professional Activities: Oliver is an active contributor to the Certified Programs and Proofs (CPP) conference, presenting cutting-edge work in formal verification. He maintains a personal website detailing both his academic contributions and early explorations in computer graphics, such as raytracing and radiosity rendering from the early 2000s. Labs and Projects: While specific lab affiliations are not mentioned, his work is closely aligned with research groups in formal methods and interactive theorem proving, likely involving tools like Lean, Coq, or Isabelle.
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.
Martin Feda is an Associated Researcher at the Institute of Computer Graphics, Vienna University of Technology, where he previously served as Assistant Professor. His research focuses on advancing radiosity methods for photorealistic image synthesis, with significant contributions to algorithmic efficiency and visual quality in global illumination rendering. Feda's primary research interests include radiosity, photorealistic image synthesis, and parallel graphics algorithms. He has pioneered techniques for stochastic radiosity, progressive refinement, and parallel implementations to accelerate computation. Key innovations involve hierarchical subdivision algorithms, methods for reducing shadow leaks without explicit meshing, improvements to intermediate radiosity images through directional light, and overshooting techniques to speed up progressive radiosity. His work consistently bridges theoretical advancements with practical applications for handling highly complex scenes. Analysis of his 1991-1997 publication record reveals a clear evolution in radiosity research: early work established parallel implementations on transputers and foundational radiosity algorithms, while later contributions developed sophisticated stochastic and hierarchical methods. The trajectory shows increasing emphasis on Monte Carlo techniques and computational optimizations to achieve greater efficiency and visual fidelity in global illumination, with consistent publication in top-tier graphics venues like Eurographics and Computer Graphics Forum.
Yuankai Wu is a Researcher at the Chair of Media Technology , Technical University of Munich , focusing on Human Activity Understanding and Computer Vision . He received a B.Sc. in Electrical Engineering (2017) from Ruhr West University of Applied Sciences and an M.Sc. in Electrical Engineering and Information Technology (2020) from TUM. His work explores Human-Object Interaction Understanding and 3D Geometric Features for Assistive Robotics . Education : B.Sc. (Ruhr West), M.Sc. (TUM) Affiliation : Chair of Media Technology, TUM Research Themes : Human activity modeling, vision-driven robot assistance, action anticipation His publications (2022–2025) address topics like TSCL for action segmentation, MistSense for mistake detection, and Neural Painted Radiosity Fields for 3D reconstruction. Collaborative projects span embodied interaction , contextual alignment , and scan-to-CAD estimation .
Xavier Pueyo is a Professor at the Universitat de Girona (UdG) in the Department of Computer Science, Applied Mathematics and Statistics. He has held academic positions since 1980, including Associate Professor at Universitat Politècnica de Catalunya (1988-1993). His research focuses on Computer Graphics , particularly Visibility Algorithms , Realistic Rendering , Lighting Simulation , and Cultural Heritage applications. Enginyer Industrial (Universitat Politècnica de Catalunya, 1980) Docteur Ingénieur in Informatique (Université de Rennes I, 1984) Doctor Enginyer Industrial (Universitat Politècnica de Catalunya, 1986) His work includes advanced Radiosity algorithms , Monte Carlo methods for Global Illumination, and Weathering simulations for urban environments. He has supervised 11 PhD students and co-authored 15+ significant publications, emphasizing interactive rendering and parallel computing applications. Scientific awards : Fellow of the EUROGRAPHICS Association (2004) Active in grants : Design and Implementation of a Lighting Simulation System (1993-1995) Interactive graphic system for rendering complex images using supercomputers (1993-1994) Computer Graphics Network (1993-1997) Realistic Lighting Simulation (1996-1998) Virtual Reality for Cooperative Design (1999-2001) Lighting Simulation (2005-2007) Energy Efficient Lighting (2008-2010) Advanced Modeling (2014) 3D Geometric Models (2015-2017) Life Sciences Visualization (2018-2021) Digital Heritage Models (2020-2023) He leads the ViRVIG research group and collaborates with institutions across Europe, focusing on Geometry and Graphics Group (GGG) projects.
Matthias Zwicker is the Elizabeth Iribe Chair for Innovation and the Phillip H. and Catherine C. Horvitz Professor of Computer Science at the University of Maryland, where he currently serves as the Chair of the Department of Computer Science. He joined UMD in March 2017 as the Reginald Allan Hahne Endowed E-Nnovate Professor in Computer Science. Prior to UMD, he was a professor at the University of Bern, Switzerland (2008-2017), Assistant Professor at UC San Diego (2006-2008), and a post-doctoral associate at MIT (2003-2006). PhD from ETH Zurich, Switzerland (2003) Matthias Zwicker's research focuses on the intersection of artificial intelligence and computer graphics, with the goal of enabling next-generation AR/VR and computer graphics applications. His work spans several key areas including point-based graphics, gradient-domain rendering, image processing, and 3D reconstruction. He has made significant contributions to surface splatting, texture synthesis, and denoising techniques. His recent work increasingly integrates deep learning approaches with traditional computer graphics techniques. Zwicker's recent publications (2021-2022) show a strong trend toward integrating deep learning with computer graphics, particularly in 3D reconstruction, rendering, and animation. His work increasingly focuses on neural radiosity, point cloud processing, and differentiable rendering techniques. There's a clear emphasis on improving perceptual quality in graphics applications, with many papers addressing challenges in AR/VR systems. His research group frequently publishes at top venues including SIGGRAPH, CVPR, and ICCV. BEST STUDENT PAPER AWARD! at VISAPP 2018 As an active member of the UMD community, Zwicker has served as a University Senator for the CS department, as a faculty co-lead in developing the new Immersive Media Design major, and as a faculty mentor in the Gemstone Honors Program. His service includes conference leadership roles such as papers co-chair for IEEE/Eurographics Symposium on Point-Based Graphics, Eurographics, and Eurographics Symposium on Rendering. Zwicker leads research in the Brendan Iribe Center for Computer Science and Engineering at UMD (room 5244). His work builds on his previous leadership of the Computer Graphics Group at the University of Bern, where he served as head of the group and as director of undergraduate and graduate studies. His research continues to push boundaries in the integration of AI and graphics for next-generation visual computing applications.
César Blecua Udías is a Professor and Subdirector at the Escuela Superior de Enseñanzas Técnicas (Architecture) at Universidad CEU Cardenal Herrera in Valencia. He holds a PhD in Architecture (2017) and teaches courses such as Structural Mechanics, Steel Structures, and New Technologies in Dentistry. His research focuses on computational methods for physical process modeling, including software development for architectural structures, CFD simulations, and GPU-accelerated graphics. He coordinates university choirs and chamber orchestras, reflecting his interdisciplinary engagement. Education: Bachelor of Architecture: Escuela Técnica Superior de Arquitectura, Universidad Politécnica de Valencia (2004) PhD in Architecture: Universidad CEU Cardenal Herrera (2017, Summa Cum Laude) Research Interests: His work bridges architecture and computing, developing tools for structural analysis, thermal simulations in Mediterranean courtyards, radiosity lighting algorithms, and hardware-accelerated image compositing. He is part of the 'Métodos computacionales para la modelización de procesos físicos' research group, focusing on quadrilateral meshing and finite element method implementations. Grants/Advising: Supervised the doctoral thesis 'Análisis computacional de mallados cuadrangulares en geometrías complejas para implementación en el método de los elementos finitos.' Labs/Teams: Leads the 'Putthephysicsinthecomputer' computational methods group and coordinates the university's Orfeón and Camerata (choir and chamber orchestra).
Dieter W. Fellner is a distinguished Professor of Computer Science at Technical University of Darmstadt, Germany, where he serves as Director of the Fraunhofer Institute of Computer Graphics (IGD). He also holds a concurrent position as Professor of Computer Science and Founding Director of the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology, Austria. With a career spanning over three decades, Fellner has established himself as a leading figure in computer graphics, digital libraries, and related fields. Education: Diploma in Technical Mathematics, Graz (1981) Doktorate (Ph.D.) in Technical Mathematics, Graz (1984) Habilitation, Graz (1988) Professor Fellner's research spans multiple domains within computer science, with a primary focus on computer graphics and its applications. His work encompasses computational geometry, 3D modeling and rendering, virtual and augmented reality, and digital libraries with emphasis on cultural heritage preservation. He has made significant contributions to algorithms for integrating modeling and rendering processes, efficient visualization techniques, and generative modeling approaches. His research extends to practical applications in internet-based multimedia systems, where he coordinated a strategic initiative funded by the German Research Foundation that supported approximately 50 researchers across 21 groups from 1997 to 2005. An analysis of Professor Fellner's publication record reveals a consistent trajectory of innovation in computer graphics and digital document systems. His early work focused on foundational graphics algorithms and videotex systems, evolving toward more complex 3D document modeling, visualization techniques, and digital library architectures. A notable trend is his interdisciplinary approach, bridging computer graphics with applications in cultural heritage, bioinformatics, and brain-computer interfaces. His research demonstrates a progression from theoretical algorithms to practical implementations addressing real-world challenges in information visualization and knowledge management. Scientific Awards: Fellow of the Eurographics Association (2000) Member of the IST Advisory Group for the European Commission (ISTAG) (2007) Best Technical Paper Award (Günther Enderle Award) at Eurographics'98 Conference Honorary Doctorate from the University of Rostock (2019) Throughout his career, Professor Fellner has supervised numerous students and researchers, though specific names are not documented in the available sources. His leadership extends to significant grant activities, most notably coordinating the German Research Foundation's strategic initiative on distributed processing and mediation of digital documents from 1997 to 2005. This major project provided funding for approximately 50 researchers annually across 21 research groups, demonstrating his capacity to lead large-scale collaborative research efforts. He has also served on editorial boards of leading journals and program committees of international conferences, shaping the direction of research in his fields of expertise. Professor Fellner directs the Fraunhofer Institute of Computer Graphics (IGD) in Darmstadt, a prominent research institution focused on applied computer graphics. He also founded and chairs the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology. These institutions serve as hubs for interdisciplinary research, bringing together computer scientists, domain experts, and industry partners to advance the state of the art in visualization, digital libraries, and knowledge management systems. The teams under his leadership have produced influential work in 3D document processing, cultural heritage digitization, and advanced visualization techniques.
Adam Misik is a researcher at the Chair of Media Technology (Prof. Steinbach) within the College of Engineering at the Technical University of Munich. He earned a B.Sc. in 2019 and M.Sc. in 2022 in Electrical Engineering and Information Technology, with study visits at EPFL and Télécom ParisTech. Since June 2022, he has been an external PhD student at Siemens AG. His research focuses on multimodal sensor data analysis using computer vision and deep learning techniques, particularly for 3D reconstruction and localization problems. His work intersects with fields like haptic communication , indoor mapping , and human activity understanding . Key publication trends include point cloud registration , hyperbolic learning , and equivariant neural networks . Recent works address surface material classification (2025), CAD model retrieval (2025), and SLAM systems (2024). Education: B.Sc. (2019), M.Sc. (2022) in Electrical Engineering and Information Technology, TU Munich Current Role: External PhD student at Siemens AG since 2022 Research Affiliation: Chair of Media Technology at TU Munich, part of the Munich Institute of Robotics and Machine Intelligence (MIRMI)
Dr. Ye Wang is a Research Fellow in the Solar Thermal Group at the ANU College of Systems & Society. She holds a PhD from ANU (2019), a Master's from Beihang University (China), and a Bachelor's from Shanghai University of Electric Power (China). Prior to her current role, she worked as a Teaching Fellow in Thermodynamics Engineering at Tianjin University. Her research focuses on engineering thermodynamics, heat transfer, fluid mechanics, and concentrating solar thermal technology. Key interests include solar thermal receiver design, optical modeling, radiative heat transfer, and camera-based measurements. Current student projects explore flux variation in receivers, contingency analysis in system design, and feasibility of integrated PV-CSP systems. Available projects include camera-based reflection measurements and surrogate modeling for Monte Carlo ray tracing. Dr. Wang has been recognized with the ANU Solar Thesis Prize (2019), awarded by the ACT Minister for Environment. Her work spans theoretical and applied research, with a strong emphasis on solar energy innovation and system optimization. She contributes to the development of high-temperature solar thermal systems, including particle-based CSP technologies and bladed receiver designs. Advising and grants: Dr. Wang supervises students in solar thermal engineering and collaborates on projects involving receiver optimization, system modeling, and techno-economic analysis. Her research often integrates experimental testing and computational modeling to address challenges in renewable energy systems. Lab/Team: She is part of the Solar Thermal Group at ANU, a multidisciplinary team advancing solar energy solutions through cutting-edge research and innovation.
Fredo Durand is the Amar Bose Professor of Computing at MIT's Electrical Engineering and Computer Science Department, affiliated with CSAIL. He earned his PhD from Grenoble University (1999), followed by a postdoc at MIT under Julie Dorsey. His work spans computational photography, computer graphics, and signal processing, emphasizing perceptual principles. Durand leads research groups in Computer Graphics and Vision, co-developed Halide, and pioneered imaging privacy studies via ambient light sensors. Education: PhD in Computer Science, Grenoble University (1999) Research Focus: Realistic rendering, non-photorealistic techniques, and AI-driven visual computing Notable awards include the ACM SIGGRAPH Achievement Award (2016) and Eurographics Young Researcher Award (2004). He advises over 40 students and collaborates on projects like Bounce Flash photography systems and neural light field reconstruction. Durand also co-founded the IEEE International Conference on Computational Photography. Labs/Teams: CSAIL's Computer Graphics Group, Vision Group, and Visual Computing Initiative
Dieter Fellner is a Professor of Computer Science at Technical University of Darmstadt, Germany , and Director of the Fraunhofer Institute of Computer Graphics (IGD) . He also serves as Founding Director of the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology, Austria. His career spans multiple prestigious institutions including University of Bonn, Memorial University of Newfoundland, and University of Technology Braunschweig. Dr. Fellner's research focuses on algorithms integrating modeling and rendering , digital libraries , virtual/augmented reality , collision detection , and radio wave propagation simulation . His work in digital libraries led to a DFG-funded strategic initiative (1997-2005) involving 50 researchers annually across 21 groups. The 15 most recent articles highlight his expertise in 3D document modeling , stereoscopic projection , subdivision surfaces , and color quantization . His publications include influential textbooks like the German standard on computer graphics (1988) and Digitale Bibliotheken (2000). 2000 Fellow of the Eurographics Association Best Technical Paper Award (Günther Enderle Award) at Eurographics’98 2007 IST Advisory Group (ISTAG) Member for the European Commission 2019 Honorary Doctorate from University of Rostock Dr. Fellner actively participates in editorial boards of journals like Computer Graphics Forum , IEEE CG&A , and JOCCH , and serves on program committees for conferences such as Eurographics, VSMM, and ACM Web3D. His leadership roles include Chairmanship of the Eurographics Association (1999-2000) and Directorship of Fraunhofer IGD (since 2006).
Alden Adolph is an Assistant Professor in both the Engineering Fundamentals and Mechanical and Aerospace Engineering departments at Michigan Technological University . He holds a PhD, BE, and AB in Engineering Sciences from Dartmouth College, with a research focus on cryospheric processes and climate impacts. PhD, Engineering Sciences, Dartmouth College BE, Engineering Sciences, Dartmouth College AB, Engineering Sciences, Dartmouth College His research explores snow and ice physics , climate change feedback mechanisms , and remote sensing applications in cryosphere monitoring. Key areas include snow hydrology, albedo dynamics, and snowpack stability modeling. The 15 most recent publications highlight trends in computational snow modeling , climate-snow interactions , and remote sensing innovations . Topics span microstructural analysis, black carbon effects, and coupled atmospheric-snow simulations, emphasizing climate sensitivity and hazard prediction. His work bridges fundamental snow physics with applied engineering solutions for environmental monitoring and climate adaptation.
Gonzalo Besuievsky is Associate Professor at the Department of Computer Science and Applied Mathematics of the University of Girona , Spain. He leads research on physically-based rendering and global illumination, with particular emphasis on Monte-Carlo methods and dynamic radiosity environments. Education: PhD in Computer Science, Universitat Politècnica de Catalunya , 2001 — Dissertation: "A Monte Carlo Approach for Animated Radiosity Environments" Research Interests: His work spans several inter-related domains: Global Illumination & Radiosity: developing algorithms for realistic light transport in synthetic scenes. Monte Carlo Techniques: adaptive and hierarchical sampling to accelerate rendering. Dynamic Environments: efficient update schemes for animated lighting and moving light sources. Daylighting Simulation: integrating sunlight models into architectural 3-D workflows. Motion Blur & Temporal Coherence: novel methods to render motion-blurred radiosity images. Publication Trends: Across his 1993–2006 publications, a clear evolution is visible from foundational stochastic ray-tracing work toward sophisticated Monte-Carlo radiosity frameworks that handle dynamic lighting, daylighting, and frame-to-frame coherence for animations. Labs & Groups: He is affiliated with the Girona Graphics Group , a research team devoted to advanced graphics and visualization technologies.
