Find Academic Supervisors

Matthias NießnerView profile

Professor

• 3D Digitization
• Computer Graphics
• Computer Vision
• +7 more

Prof. Matthias Nießner is a Professor at the Technical University of Munich, leading the Visual Computing Lab. His research intersects computer graphics, vision, and AI, focusing on 3D reconstruction, semantic understanding, and AI-driven video synthesis. He holds a PhD from the University of Erlangen-Nuremberg (2013) and was a Visiting Assistant Professor at Stanford University (2013–2017). Notable awards include the ERC Starting Grant (2018), Nvidia Professorship Award, and Eurographics Young Researcher Award (2019). His work has been featured in mainstream media and led to startups like Synthesia Inc. Research spans Gaussian splatting, neural radiance fields, and generative AI for 3D avatars. Over 150 publications include SIGGRAPH, CVPR, and ECCV, with best paper awards. Projects like Face2Face and ScanNet have driven innovation in facial reenactment and 3D scene datasets. Education: PhD in Computer Science, University of Erlangen-Nuremberg (2013) Diploma in Computer Science, University of Erlangen-Nuremberg (2010) Research Interests: 3D digitization, neural rendering, generative AI, non-rigid reconstruction, and applications in AR/VR. Awards: ERC Starting Grant (2018) Nvidia Professorship Award (2018) Google Faculty Award (2018) SIGGRAPH Best Emerging Tech Award (2016) Grants: Over €1.5M from ERC and industry partnerships. Labs/Teams: Visual Computing Lab at TUM and Synthesia Inc. (co-founder). Key projects include ScanNet (large 3D indoor dataset), Face2Face (real-time facial reenactment), and Gaussian-based 3D avatars. Current work focuses on diffusion models, neural radiance fields, and AI-generated media detection.

• Computer Graphics
• Rendering Algorithms
• Photo-realistic Rendering
• +9 more

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 .

Leif KobbeltView profile

Professor

• Computer Graphics
• Geometry Processing
• Interactive Visualization
• +3 more

Leif Kobbelt serves as a University Professor at RWTH Aachen University, leading the Computer Graphics Group within the Department of Computer Science (Informatik 8). His research focuses on advancing geometry processing, interactive visualization, and computer graphics through innovative algorithmic solutions and interdisciplinary collaborations. Professor Kobbelt's research program centers on geometry acquisition and processing, with significant contributions to mesh generation, surface reconstruction, and neural rendering techniques. His work bridges theoretical geometry with practical applications in computer vision, photo-realistic image synthesis, and multimedia data transmission, often involving collaborations with industry partners and international research teams funded by DFG and EU sources. Recent publications (2023-2025) reveal a strategic integration of deep learning with traditional geometry processing, particularly in Gaussian splatting for real-time rendering, NeRF-based 4D content generation, and robust mesh Boolean operations. His group maintains leadership in quad mesh optimization and surface mapping while expanding into immersive visualization techniques for complex data analysis. The group has earned recognition through prestigious awards: Günter Enderle Best Paper Award at Eurographics 2023 Best Paper Award (1st place) at Symposium on Geometry Processing 2022 Honorable Mention for Best Paper at ACM Symposium on Virtual Reality Software and Technology Funding from Deutsche Forschungsgemeinschaft and European Union programs supports the group's research infrastructure and international collaborations. The team actively supervises graduate theses while developing open-source software tools that translate theoretical advances into practical industry applications, particularly in digital fabrication and immersive visualization systems. The Computer Graphics Group operates as a central hub for visual computing research at RWTH Aachen, maintaining strong ties with both academic institutions and technology companies. Their recent work on virtual reality educational tools and high-fidelity 3D reconstruction systems demonstrates commitment to knowledge transfer and real-world impact beyond traditional publication venues.

Saghi HajisharifView profile

Researcher

• Visual Machine Learning
• HDR Imaging
• Photo-realistic Rendering
• +5 more

Saghi Hajisharif is a Researcher at Linköping University's Department of Science and Technology (ITN), affiliated with the Media and Information Technology (MIT) group. She holds a PhD in Visualization and Media Technology from Linköping University (2020), an MSc in Advanced Computer Graphics (2013), and a BSc in Computer Science from Amirkabir University (2009). Her work focuses on computational imaging, visual machine learning, HDR imaging, and light field technologies. She is a core member of the Computer Graphics and Image Processing research group. Research interests include sparse representation learning for computational imaging, synthetic data ethics, BRDF material modeling, and algorithmic fairness in AI. Her contributions span interdisciplinary projects recognized in IVA’s 100 List (2024), highlighting societal impact potential. She has co-authored influential studies on topics such as FROST-BRDF sampling techniques and metadata standards for GenAI synthetic data. Her articles reflect expertise in computer vision, graphics, and AI ethics, with key contributions to light field imaging, GAN fairness, and material modeling surveys. The IVA’s 100 List recognition underscores her innovative work’s societal relevance. She collaborates across disciplines to advance imaging technologies and ethical AI practices.

Denis KalkofenView profile

Associate Professor

• Virtual Reality
• Mixed Reality
• Augmented Reality
• +5 more

Dr. Denis Kalkofen serves as an Associate Professor at the Institute of Computer Graphics and Vision (ICG) at Graz University of Technology, Austria. His academic journey began with a Dipl.-Ing. (2004) from the University of Magdeburg, followed by a Dr. techn. (2009) from Graz University of Technology. University of Magdeburg - Dipl.-Ing. (2004) Graz University of Technology - Dr. techn. (2009) University of Michigan, Ann Arbor - Virtual Reality Laboratory member Stanford University - Visiting Assistant Professor at Computational Imaging Laboratory (2019) University of South Australia - Visiting Researcher at Wearable Computer Laboratory (2019) Dr. Kalkofen's research centers on developing visualization, interaction, authoring, and display technologies for Virtual and Mixed Reality environments, with particular emphasis on combining computer graphics and computer vision techniques to create comprehensible and accessible VR/MR experiences. His work spans situated visualization (addressing label placement and X-ray visualization), photometric rendering (recovering lighting properties for realistic AR), and content creation automation (leveraging existing data sources for AR content). His publication trends over the past 15+ years demonstrate consistent leadership in AR/MR research, evolving from foundational work on visualization techniques to current cutting-edge research in neural rendering, neuroadaptive systems, and industrial AR applications. Recent work shows increased focus on practical industrial implementations, error management in AR assembly, and multimodal learning applications. Best paper award for 'enRoute: Dynamic path extraction from biological pathway maps' (2012) Best short paper for 'TutAR: Augmented Reality Tutorials for Hands-only Procedures' (2018) Best paper for 'Tools for Teaching Mining Students in Virtual Reality' (2020) Honorable Mention for Best Paper for 'Adaptive User-Perspective Rendering' (2017) Dr. Kalkofen leads Team Kalkofen at ICG, supervising researchers including Peter Mohr, Shohei Mori, David Mandl, and Ana Stanescu. His team has secured significant funding for projects related to AR/VR content creation, visualization techniques, and industrial applications. They maintain strong collaborations with institutions including Stanford University, University of South Australia, and University of Michigan. Team Kalkofen operates within the Institute of Computer Graphics and Vision at TU Graz, focusing on three main research thrusts: situated visualization for AR, photometric rendering for realistic MR, and automated content creation for professional AR applications. The team maintains active partnerships with industry and academic institutions worldwide, contributing to the advancement of practical AR/MR technologies.

Niki WakefieldView profile

Senior Lecturer

• Visual Effects
• Virtual Production
• Real-time Compositing
• +5 more

Niki Wakefield is a Senior Lecturer at the University of Portsmouth, affiliated with the Faculty of Creative & Cultural Industries and the School of Film, Media and Creative Technologies. She is also a member of the Centre for Creative and Immersive XR, where she contributes to advancing creative applications of extended reality and virtual production technologies. Her educational background includes: MA in Creative Writing, University of Surrey (2016–2018) Fellow of the Higher Education Academy (awarded 2018) Niki's research and teaching focus on the intersection of narrative and technology. Her primary research interests include: Visual effects (VFX) and photo-realistic compositing Real-time compositing and virtual production Mixed media animation aesthetics Immersive and interactive art experiences She actively explores how emerging technologies such as AI and XR can enhance creative storytelling and artistic expression. Her recent research output centers on virtual production pipelines and mixed-media animation, reflecting a strong trend toward real-time, immersive content creation. These works contribute to broader fields of digital media, creative technology, and virtual arts, with applications in film, education, and cultural exhibitions. Scientific awards and recognitions include: UK Film Festival 2018 3 Minute Script Competition (awarded 2019) Niki is deeply involved in student development and industry engagement. She teaches visual effects and compositing across undergraduate and postgraduate programs, particularly on the BSc (Hons) Computer Animation and Visual Effects course. She fosters resilience and adaptability in students by encouraging problem-solving and exploration of new specializations. She actively develops industry projects, work placements, and employment opportunities, currently collaborating with Dark Cosmos Creative to provide students with real-world client briefs. Additionally, she has served as an external advisor for the BA (Hons) Post Production and VFX program at the University of Salford and as an external examiner at the University of Suffolk. Niki leads and contributes to several innovation and research projects, including: Sprint Project: VFX in-camera workshop with Dark Cosmos Creative Enabling XR Enterprise (collaborative innovation in immersive technology and tourism) Photorealistic Asset Creation (AI-enhanced film production assets) House and Garden virtual production projects She is a key figure in the XR Network+ initiative, exploring AI and virtual production in content creation, and has presented at events such as 'Unbuilding Animated Spaces' and 'Unveiling the Silent Senses', focusing on generative art and sensory impairment.

Xu ChenView profile

Researcher

• 3D Generative Models
• Computer Vision
• Human Activity Simulation
• +5 more

Xu Chen is a doctoral researcher at ETH Zurich specializing in 3D generative models and neural implicit shape animation . His work focuses on creating photo-realistic simulations of human activity for applications in human-centric perception tasks .

• Computer Graphics
• Volumetric Visualization
• Virtual Archaeology
• +7 more

Prof. Ahmet Denker is a full Professor in the Department of Electrical-Electronics Engineering at Istanbul Bilgi University , where he has been serving since 2010. He also holds a Courtesy Professor position at the University of South Florida , USA, since 2021. Previously, he served as Professor at Girne American University, Cyprus International University, Eastern Mediterranean University, and Ankara University, and as Associate and Assistant Professor at Bogazici University. His academic background includes a PhD (1981) and MS (1978) in Computer-Control Engineering from the University of Sussex , and a BS in Electrical and Electronics Engineering from Bogazici University (1977). His research lies at the intersection of engineering and digital humanities, with a strong focus on Computer Graphics, Volumetric Visualization, Robotics, Virtual Archaeology, and Archaeogaming . He specializes in the 3D digital reconstruction of cultural heritage sites, particularly the ancient city of Palmyra. His recent publications demonstrate a consistent trend in using advanced visualization and photogrammetry techniques to preserve and revive historical monuments. The works emphasize virtual reconstruction, cultural memory, digital preservation, and photo-realistic modeling , especially of the Great Temple of Bel in Palmyra. Virtual Archaeology Review (2017) Whittles Academic Publishing (2018) İstanbul Bilgi Üniversitesi Publications (2020) Austrian Academy of Sciences Press (2022) Prof. Denker has advised multiple research projects and publications in the domain of digital cultural heritage. While specific grant details are not listed, his international collaborations (e.g., with Italian scholar G. Fangi) and publications with academic presses suggest funded research activity. He is actively involved in interdisciplinary teams combining engineering and archaeology. He leads research efforts in virtual archaeology at Istanbul Bilgi University, working with digital modeling labs and interdisciplinary teams focused on heritage preservation through technology.

Imanol Munoz-PandiellaView profile

Assistant Professor

• Computer Graphics
• Cultural Heritage
• 3D Reconstruction
• +4 more

Imanol Munoz-Pandiella is an assistant professor in the Computer Science Department at Universitat Politècnica de Catalunya – BarcelonaTech (UPC) and a core member of the ViRVIG research center . His work bridges computer graphics and cultural-heritage science, with a focus on 3-D reconstruction, appearance modeling, and interactive visualization of historical artefacts. Education Ph.D. in Computer Graphics (2017) – joint programme between Université de Limoges and Universitat de Girona (supervisors: Stéphane Mérillou, Xavier Pueyo, Carles Bosch, Nicolas Mérillou) Pre-doctoral stay – Yale University (supervisor: Holly Rushmeier) Research Interests Dr Munoz-Pandiella investigates the intersection of Computer Graphics and Cultural Heritage . Current themes include: Appearance change and weathering analysis in architectural heritage High-fidelity 3-D reconstruction from sparse data Interactive narrative frameworks for 4-D (time-varying) heritage models Physically-based rendering and differentiable inverse rendering Color constancy and illumination-robust imaging for conservation science Publication Landscape His 2024–2025 output is dominated by 4-D cultural-heritage visualization , digital restitution of lost or weathered artworks , and real-time rendering techniques . Earlier work (2021–2022) concentrated on LiDAR intensity correction and neural colorization . Collectively, these publications map onto broad disciplines of Computer Graphics , Computer Vision , and Digital Heritage , with sub-fields spanning differentiable rendering, mural-painting restoration, and interactive 3-D exploration. Scientific Awards & Grants Assistant Professor position award – UPC, 2023 Post-doctoral fellow award – DTIC, Universitat Pompeu Fabra, 2023 Participant and grantee – European Cloud for Heritage OpEn Science (ECHOS), 2024 Service & Leadership Program Chair, CEIG 2026 (with Elena Garces) Program Co-Chair, Web3D 2023 Guest Editor, Computers & Graphics special issue on Web3D 2023 Program Committee member, CEIG 2023 Laboratory & Collaborations Dr Munoz-Pandiella conducts his research within the ViRVIG research center at UPC, collaborating closely with cultural-heritage stakeholders across Europe. His interdisciplinary teams integrate art historians, conservation scientists, and graphics engineers to deliver open-source tools and datasets for heritage documentation and dissemination.

Dimitris TzionasView profile

Assistant Professor

• Computer Vision
• Computer Graphics
• Machine Learning
• +2 more

Dr. Dimitris Tzionas is an Assistant Professor at the University of Amsterdam leading research at the intersection of Computer Vision, Computer Graphics, and Machine Learning. His work focuses on modeling human appearance, motion, and interactions within physical environments. His research explores: 3D reconstruction of humans and objects from images/video Modeling whole-body interactions with scenes Developing novel representations for articulated motion Creating realistic digital avatars for AR/VR applications Recent publications demonstrate consistent focus on human-object interaction modeling, 3D reconstruction under challenging conditions, and the development of novel datasets. Work frequently appears in top-tier venues like CVPR, ICCV, and ECCV. Awards & Recognition: Outstanding Reviewer - CVPR 2021 Outstanding Reviewer - CVPR 2023 Best Paper Finalist - CVPR 2022 Current PhD students include George Paschalidis and Dimitrije Antic. Research is supported by grants including BMBF funding for 'Machine Learning for Interacting Human Avatars'. The lab maintains collaborations with MPI-IS Tübingen and develops novel capture systems for human motion analysis.

• Digital Visual Effects
• Computer Animation
• CGI
• +5 more

Colin West is a Senior Lecturer at the University of Portsmouth, Faculty of Creative & Cultural Industries, School of Film, Media and Creative Technologies. He serves as course leader for BSc(Hons) Computer Animation and Visual Effects and deputy course leader for BA(Hons) Animation. He is affiliated with the Centre for Creative and Immersive XR and actively contributes to research and innovation in digital visual effects and real-time creative technologies. His educational background includes a BA(Hons) in Technical & Information Illustration and an MA in Digital Effects. His industry experience includes working at award-winning VFX studios such as Framestore and Double Negative on major films including 'Guardians of the Galaxy' and 'Jupiter Ascending', as well as high-profile commercials for brands like Audi, Pepsi, and British Airways. Colin's research centers on the integration of photo-realistic digital effects into real-time environments and the exploration of emerging technologies in visual effects. His interests span immersive XR, digital animation, real-time rendering, and creative software development. He is deeply engaged in pushing the boundaries of digital storytelling and interactive media. The recent publications highlight a strong trend in creative software and digital artefacts, emphasizing real-time systems, interactive media, and immersive experiences. These works reflect a fusion of artistic expression and technical innovation, particularly in animation, music technology, and XR applications. No scientific awards currently listed. Colin has been actively involved in research projects such as 'Photorealistic Asset Creation' with the University of York, 'Do facial expressions impact navigational decisions?', and 'Designing Disgust', focusing on museum engagement. He mentors students through project supervision and collaborative events like the University of Portsmouth Game Jam. His work integrates academic teaching with industry collaboration, including engagements with Larian Studios and external creative organizations. He is a key contributor to the Centre for Creative and Immersive XR, where he explores the convergence of AI, virtual production, and real-time content creation. His involvement in workshops, game jams, and invited talks underscores his leadership in bridging academia and the creative industries.

• Neural Rendering
• Dense Visual SLAM
• Scene Understanding
• +4 more

Ronnie Clark is an Associate Professor at the Department of Computer Science, University of Oxford, affiliated with the Oxford Perceptual Intelligence and Extended Reality Lab (PIXL). His research focuses on bridging the gap between the real and digital worlds through photorealistic 3D scene reconstruction and computer vision techniques. Clark holds an MSc from the University of the Witwatersrand and a DPhil from the University of Oxford. He previously worked at the Dyson Robotics Lab (2017–2020) and held an Imperial College Research Fellowship. He joined Oxford as an Associate Professor in 2022. His research interests include Neural Rendering, Dense Visual SLAM, and Scene Understanding, with applications in Mixed Reality, Home Robotics, and Physical Sciences. He has advised multiple students and received the Best Paper Honourable Mention at CVPR 2018.

Ling-Qi YanView profile

Associate Professor

• Computer Graphics
• Rendering Algorithms
• Real-time Ray Tracing
• +5 more

Ling-Qi Yan is an Associate Professor in the Department of Computer Science at the University of California, Santa Barbara (UCSB), where he co-directs the MIRAGE Lab and is affiliated with the Four Eyes Lab. His research focuses on computer graphics, particularly real-time rendering, physically-based appearance modeling, and advanced light transport algorithms. Prior to UCSB, he earned his PhD from UC Berkeley, advised by Ravi Ramamoorthi, and completed internships at Disney, Autodesk, Weta Digital, and NVIDIA Research. He also holds a B.E. in Computer Science from Tsinghua University. Yan's education includes a PhD in Computer Science from UC Berkeley (2018) and a B.E. from Tsinghua University (2013). His research interests span rendering photo-realistic visuals, real-time ray tracing, and appearance modeling for materials like fabrics and fur. Notable achievements include the 2023 EGSR Best Paper Award for cloth shading work and the 2019 ACM SIGGRAPH Outstanding Doctoral Dissertation Award. His awards include the Regents' Junior Faculty Fellowship (UCSB), Best Visual Effects Award (EGSR 2023), and NVIDIA Graduate Fellowship supervision recognition. He teaches courses such as Introduction to Computer Graphics and Real-Time High-Quality Rendering , and has developed online courses in Chinese like GAMES101 and GAMES202 . Yan's lab collaborations and industry ties include roles as a research consultant at Intel and visiting professor at NVIDIA. His research emphasizes bridging theory and practice, with over 50 publications in top venues like SIGGRAPH and ACM Transactions on Graphics.

Daniele De MartiniView profile

Lecturer

• Mobile Robotics
• Autonomous Systems
• Robot Navigation
• +5 more

Daniele De Martini is a Departmental Lecturer in Mobile Robotics at the Oxford Robotics Institute (ORI) and a College Lecturer in Engineering Science at Pembroke College, University of Oxford. He co-leads the Mobile Robotics Group (MRG) with Professor Paul Newman. His academic journey began in Pavia, Italy, where he earned his BSc in Mechanical Engineering, followed by an MSc in Mechatronic Engineering from Politecnico di Torino, and completed his PhD in Robotics at Università degli Studi di Pavia under the supervision of Prof. Tullio Facchinetti. De Martini's research focuses on robust navigation and scene understanding for mobile robots, with particular emphasis on enabling robot operation in challenging weather conditions and diverse scenarios. His work spans from odometry and localization to detection and segmentation, utilizing various sensing technologies including vision, laser, and radar systems. A significant portion of his research explores FMCW scanning radar technology as a more robust alternative to traditional visual perception systems, especially in adverse weather conditions. He also investigates techniques to enhance the training of perception modules using machine learning approaches, believing that learning and adaptation are paramount for achieving true robot autonomy. His publication record demonstrates a clear progression from early work on energy management and scheduling algorithms to his current focus on mobile robotics and perception. The analysis of his recent publications reveals strong emphasis on radar-based perception, robust localization methods, scene generation for autonomous driving simulation, and long-term autonomy systems. His work bridges the gap between theoretical robotics and practical field deployment, as evidenced by projects like The Hulk vehicle platform designed for weather-proof outdoor operations. As an educator, De Martini teaches Structures and Mechanics at Pembroke College and contributes to the academic mission of the Department of Engineering Science. His research group actively develops solutions for real-world robotic challenges, with applications ranging from urban mobility safety assessment to long-term autonomous inspection systems.

Seth BerrierView profile

Professor

• Computer Graphics
• Visualization
• Design and Arts Integration
• +6 more

Seth Berrier is a Professor and Program Director for the B.S. Computer Science program at the University of Wisconsin-Stout's College of Science, Technology, Engineering, Mathematics & Management . He earned his Ph.D. in Computer Science from the University of Minnesota-Twin Cities in 2012 under Professor Meyer's mentorship and holds a B.A. in Music from Butler University's Jordan College of Fine Arts. Ph.D. Computer Science, University of Minnesota-Twin Cities M.S. Computer Science, University of Minnesota-Twin Cities B.A. Music, Butler University Berrier specializes in Computer Graphics and Visualization , focusing on merging technical disciplines like mathematics and computer science with creative fields such as architecture, fashion, game design, and music visualization. His technical expertise spans real-time photo-realistic rendering , light-field rendering , photogrammetry , and graphics hardware programming . As Program Director, he oversees curriculum development for the Computer Science program while teaching foundational courses in programming, data structures, algorithms, and software engineering. His interdisciplinary approach emphasizes the use of visualization tools to enhance creative processes across domains. Office: 231E Jarvis Hall-Science Wing | Phone: 715-232-1654