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Junpeng WangView profile

Research Fellow

• lightweight structural design
• structural optimization
• scientific visualization
• +5 more

Dr. Junpeng Wang is a Postdoctoral Researcher (since June 2023) in the Chair of Computer Graphics and Visualization at the Technical University of Munich, working under Prof. Rüdiger Westermann. Previously, he completed his PhD at the same institution from November 2018 to June 2023. His research focuses on lightweight structural design and optimization with geometry-based approaches, as well as scientific visualization of tensor and mesh data. Wang's research interests span lightweight structural design , structural optimization , and scientific visualization . His work integrates computational mechanics with computer graphics to develop novel methods for stress analysis, lattice structure optimization, and 3D data visualization. His research has practical applications in mechanical engineering, additive manufacturing, and scientific data analysis. His publication portfolio shows a strong trend toward integrating machine learning with traditional computational mechanics methods, particularly in the areas of 3D Gaussian Splatting and neural data structures. Wang has developed the 3D-TSV (3D Trajectory-based Stress Visualizer), a significant tool for exploring principal stress directions in 3D solids under load, which has been published in Advances in Engineering Software (2022). Wang serves as a reviewer for prestigious journals including IEEE Transactions on Visualization and Computer Graphics (TVCG), Computer Methods in Applied Mechanics and Engineering (CMAME), Journal of Mechanical Design (JMD), Optics Express (OPTE), Computer-Aided Geometric Design (CAG), and Shape Modeling International Conference (SPM[C]). His collaborative work primarily involves Prof. Rüdiger Westermann at TUM and Jun Wu at other institutions, demonstrating strong interdisciplinary connections between computer graphics and mechanical engineering research groups.

Aysegul DundarView profile

Assistant Professor

• Deep Learning
• Computer Vision
• Generative Models
• +3 more

Aysegul Dundar is an Assistant Professor of Computer Science at Bilkent University, Ankara, Turkey. She previously served as a senior research scientist at NVIDIA in Santa Clara, USA. Her research focuses on deep learning algorithms for computer vision, particularly generative models, 3D reconstruction, and image editing. She leads the Generative Deep Learning Research Lab at Bilkent. Education: Ph.D. in Electrical and Computer Engineering, Purdue University (2016), supervised by Eugenio Culurciello. B.Sc. in Electrical and Electronics Engineering, Bogazici University, Turkey (2011). Research Interests: Her work emphasizes generative deep learning, with applications in 3D head stylization, image editing via diffusion models, and neural network architectures for vision systems. She explores disentangled latent spaces, GAN inversion, and robust instance segmentation. Awards & Funding: 2024: Young Scientist Award (BAGEP), EuroHPC AI Award. 2021: TÜBİTAK 3501 Grant. 2020: Marie Skłodowska-Curie Fellowship. 2018: 1st Place in CVPR Domain Adaptation Challenge. Teaching & Labs: Teaches CS 490 (Research in Computer Engineering/Science). Leads projects on image synthesis, with a focus on selective student recruitment for lab contributions. Prioritizes undergraduates actively engaged in lab activities.

• Computer Graphics
• Scientific Visualization
• Crowd Simulation
• +5 more

Ugur Gudukbay is a Professor in the Department of Computer Science at Bilkent University. He specializes in computer graphics, scientific visualization, and crowd simulation, with extensive contributions to video databases and augmented reality systems. His research explores topics including tetrahedral mesh rendering, human motion animation, and content-based multimedia retrieval. Education Background: Not explicitly stated in the provided text. Research Interests: Real-time rendering techniques Virtual environment modeling Machine learning for video analysis Privacy-preserving data processing Human-computer interaction Advising & Collaboration: Supervised 35+ graduate students since 1998 Co-supervisor in projects involving video databases, medical visualization, and urban crowd simulation Notable collaborations with Dr. Özgür Ulusoy and Dr. Bülent Özgüç Labs/Teams: No specific lab names mentioned, but active in computer graphics and multimedia research groups at Bilkent.

Yifan (Evan) PengView profile

Assistant Professor

• Computational Optics
• Imager and Sensor Technology
• Holography
• +5 more

Yifan (Evan) Peng is an Assistant Professor at the University of Hong Kong, jointly affiliated with the Departments of Electrical & Electronic Engineering and Computer Science. He leads the WeLight Lab, focusing on interdisciplinary research at the intersection of Optics, Graphics, Vision, and Artificial Intelligence. His work emphasizes computational imaging systems, holography, and human-centered visual technologies. Education: PhD in Computer Science from the Imager Lab, University of British Columbia Postdoctoral Research Scholar at Stanford University's Computational Imaging Lab Visiting Student Researcher at KAUST's Visual Computing Center and Stanford MS & BS in Optical Science and Engineering from Zhejiang University Research Interests: His research explores computational optics, holographic displays, VR/AR/MR systems, and low-level vision techniques. Recent efforts include developing snapshot hyperspectral imaging systems, lighting-robust machine vision, and neural rendering frameworks for dynamic scenes. He investigates hardware-software co-design in imaging systems and explores applications in medical imaging and mixed reality. Publications: Recent work focuses on advancing holographic display technologies, neural rendering, and hybrid optical-computational imaging systems. Key contributions include metasurface-based AR displays, speckle reduction techniques, and learned optical systems for hyperspectral imaging. His research bridges physical optics with digital algorithms to achieve high-quality imaging and display solutions. Grants & Advising: Hosts visiting scholars and collaborates with industry partners like Ford, Sony, and Intel. Openings exist for PhD students, postdocs, and research assistants in computational imaging and optics. Labs & Teams: Leads the WeLight Lab at HKU, collaborating with global institutions on projects like neural holography and diffractive optics. Active in conferences like SIGGRAPH, CVPR, and ISMAR as program committee member.

• Computer Animation
• Machine Learning
• Virtual Reality
• +6 more

Professor Xiaosong Yang serves as Professor and Deputy Head of Department at the National Centre for Computer Animation, Bournemouth University. With over 30 years of experience in research, education, and professional practice, he leads the MSc AIM program and has established himself as a prominent figure in computer animation and AI applications. His work bridges academic research with industry applications through collaborations with organizations including Disney Research and Double Negative. Professor Yang's research spans computer animation, machine learning, data mining, digital health, virtual reality, augmented reality, medical visualization, and surgery simulation. His innovative work in muscle-based animation has received international recognition from prestigious outlets such as NewScientist and MIT Technology Review. He has developed novel techniques that have been successfully integrated into animation production pipelines, demonstrating practical applications of his research. His publication record includes over 140 peer-reviewed papers in prestigious journals and conferences, with recent work focusing on AI-driven animation techniques, medical visualization, and human-computer interaction. The research trends show a consistent progression from foundational computer animation techniques toward increasingly sophisticated AI applications in both entertainment and healthcare domains. Recognized Research Supervisor from UK Council for Graduate Education Professor Yang has supervised over 30 PhD students and numerous postdocs, research assistants, and international visiting scholars. His research impact is further evidenced by securing over 35 research grants from major funding bodies including the European Commission, Arts and Humanities Research Council, British Academy, Leverhulme, British Council, Newton Fund, Innovate UK, Wessex AHSN, and Higher Education Innovation Fund. He serves on the Peer Review College of the Arts and Humanities Research Council (AHRC) UK and the Computer Science Evaluation Group of the Natural Science and Engineering Research Council of Canada (NSERC). He actively contributes to the academic community as a program committee member for international conferences (SIGGRAPH Asia, CGI, CASA), conference program chair (CGI2012, CASA2020/2022), and reviewer for top journals (TVCG, ACM ToG, C&G) and conferences (SIGGRAPH, Eurographics, ISMAR).

• Computer Graphics
• Geometric Modeling
• Fluid Simulation
• +4 more

Denis Zorin is a Silver Professor of Computer Science and Mathematics at New York University, serving as Chair of the Department of Computer Science. His research focuses on computer graphics, geometric modeling, fluid/solid simulation, and perceptually based methods for graphics. He leads the Media Research Lab (MRL) at NYU, with a strong emphasis on interdisciplinary work combining theoretical foundations with practical applications in robotics, material science, and computational geometry. Key projects include development of robust simulation frameworks and novel approaches to meshing, parametrization, and microstructure optimization. Research interests span both theoretical advancements and applied solutions, with notable contributions to areas like topology optimization, contact dynamics, and 3D reconstruction. His work bridges computer science, mathematics, and engineering, addressing challenges in both academic and industrial contexts. Articles from 2024–2025 highlight innovations in DSL design for optimization, haptic interfaces, multi-mesh synchronization, and soft robotics actuators. These demonstrate a focus on scalable simulations, geometric algorithms, and real-world applications of computational methods.

• Computer Graphics
• Image Processing
• Scientific Visualization
• +2 more

Miquel Feixas is an Associate Professor in the Department of Computer Science, Applied Mathematics and Statistics at the University of Girona. He is a key member of the Graphics and Image Laboratory (GILab), where he contributes to cutting-edge research in computer graphics, image processing, and scientific visualization. His research focuses on the application of Information Theory to visual computing domains. This includes modeling visual attention, optimizing rendering pipelines, enhancing image quality assessment, and improving scientific data visualization through entropy and mutual information metrics. The analysis of his recent publications reveals a sustained focus on information-theoretic modeling across computer graphics and image analysis. His work bridges theoretical foundations with practical applications in medical imaging, 3D modeling, and data visualization, demonstrating consistent innovation over more than a decade. Scientific Contributions: Co-author of two books on information theory in graphics and image processing Over 100 peer-reviewed publications in top-tier venues Supervision of six doctoral theses Participation in over 20 publicly funded R+D projects Advising and Research Leadership: Miquel Feixas has directed six PhD theses and is actively involved in research management through GILab. His work is supported by multiple competitive grants, reflecting sustained funding and academic impact. He collaborates extensively within interdisciplinary teams focused on visual computing. Research Group: He is an integral member of the Graphics and Image Laboratory (GILab) at the University of Girona, a research group dedicated to advancing graphics, imaging, and visualization technologies through novel computational methods.

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

• Computer Vision
• Computer Graphics
• Artificial Intelligence
• +4 more

Alexei Efros is a Professor in the Electrical Engineering and Computer Sciences Department at UC Berkeley's College of Engineering, where he holds the Howard Friesen Professorship. He is a leading researcher in computer vision and computer graphics, with a focus on data-driven techniques and self-supervised learning. His work bridges the intersection of vision and graphics, leveraging large quantities of unlabeled visual data to tackle complex problems. Dr. Efros received his PhD from UC Berkeley in 2003 and joined the Berkeley faculty in 2013 after spending a decade at Carnegie Mellon University. He has also held affiliations with École Normale Supérieure/INRIA and the University of Oxford. His research group is part of the Berkeley Artificial Intelligence Research Lab (BAIR). His research interests span computer vision, computer graphics, artificial intelligence, and machine learning, with particular emphasis on data-driven approaches, self-supervised learning, computational photography, and visual data mining. Efros has pioneered numerous techniques in image synthesis, scene understanding, and visual representation learning that have shaped modern computer vision research. An analysis of his recent publications reveals a strong focus on generative models, particularly diffusion models and their applications; interpretability of vision-language models like CLIP; 3D scene understanding and reconstruction; and the application of self-supervised techniques to video and spatial reasoning problems. His work continues to push boundaries in how machines understand and generate visual content. Among his numerous accolades are the ACM Prize in Computing (2016), multiple Helmholtz Test-of-Time Prizes, the SIGGRAPH Significant New Researcher Award, Sloan and Guggenheim Fellowships, and teaching awards including the Jim and Donna Gray Award for Excellence in Undergraduate Teaching (2023). Professor Efros has mentored an impressive cohort of students who have gone on to prominent positions in academia and industry, including faculty positions at CMU, TTIC, Stanford, and research scientist roles at OpenAI, Google DeepMind, and Anthropic. His teaching includes core computer vision courses at both undergraduate and graduate levels.

Ekrem Fatih YilmazerView profile

Researcher

• Computer Graphics
• Rendering
• Scientific Visualization
• +3 more

Ekrem Fatih Yilmazer is a Doctoral Assistant and PhD student at the École Polytechnique Fédérale de Lausanne (EPFL) , affiliated with the Realistic Graphics Lab (RGL) in the School of Computer and Communication Sciences . His position is active under the Institute of Computer Science (IINFCOM), and he is enrolled in the Doctoral Program in Computer and Communication Sciences (EDIC). Institution: École Polytechnique Fédérale de Lausanne (EPFL) School: School of Computer and Communication Sciences (IC) Department: Institute of Computer Science (IINFCOM) Lab: Realistic Graphics Lab (RGL) Status: Doctoral Assistant (Staff), PhD Student (EDIC) His research is centered in computer graphics, with a focus on realistic image synthesis, rendering techniques, and visual computing. The Realistic Graphics Lab at EPFL is known for its work in physically based rendering, light transport simulation, and computational imaging, indicating his involvement in advanced visual simulation and graphics algorithms. No publications are currently listed in the provided text, so no trends can be inferred at this time. There are no scientific awards mentioned in the provided information. As a doctoral assistant, Ekrem is likely involved in research projects funded by EPFL or collaborative grants, though specific funding sources are not disclosed. He may also contribute to academic mentoring within his lab, although no formal advisees are listed. His dual role supports both research and academic training within a leading computer science institution. He is a member of the Realistic Graphics Lab (RGL) at EPFL, a research group focused on advancing the state-of-the-art in image synthesis, rendering, and visual content creation using computational methods.

Donald GreenbergView profile

Professor

• Computer Graphics
• Real Time Realistic Image Generation
• Color Science
• +7 more

Donald Greenberg is the Jacob Gould Schurman Professor of Computer Graphics at Cornell University, affiliated with the College of Architecture, Art, and Planning (AAP) and the Department of Architecture. He holds joint teaching responsibilities across Computer Science, Art, and the Business School, reflecting his interdisciplinary impact. His office is located in Rhodes Hall and Sibley Hall at Cornell. Greenberg earned his B.C.E. from Cornell in 1958 and his Ph.D. in 1968, with additional studies at Columbia University. His academic journey has been deeply rooted at Cornell, where he has taught and researched since 1966. His research interests center on computer graphics, with a focus on real-time realistic image generation, color science, and computer-aided architectural design. He pioneered the concept of physically accurate and perceptually indistinguishable digital imagery, laying the foundation for modern rendering and digital twin technologies. His current work includes the development of 'digital twins' for architectural design, enabling real-time simulation of energy use, sunlight, and weather impacts. The selected publications reflect a career-long trajectory from foundational work in computer graphics in architecture to advanced frameworks for realistic image synthesis. These works span disciplines including computer science, architecture, and visualization, emphasizing physically based modeling, interdisciplinary applications, and educational innovation. Scientific Awards: Fellow, American Association for the Advancement of Science (2002) ACSA Creative Research Award in Architecture (1997) Member, National Academy of Engineering (1991) National Computer Graphics Association Academic Award (1989) ACM SIGGRAPH Steven A. Coons Award (1987) Greenberg has advised numerous graduate students, including Rob Cook (Pixar, Oscar winner) and Michael Cohen (Microsoft Research, Facebook), many of whom have achieved significant recognition. He emphasizes student-led research, with nearly 90% of his published papers featuring students as first authors. He leads the multidisciplinary Program of Computer Graphics and collaborates across departments and colleges. His current course, 'Design in the Age of Digital Twins,' exemplifies his ongoing commitment to innovation in education and research. He founded and directs the Program of Computer Graphics at Cornell, a hub for interdisciplinary research involving architecture, computer science, and the arts. The program has nurtured generations of leaders in graphics and visualization, including Kavita Bala, now dean of the Cornell Bowers College of Computing and Information Science.

Dan ToropView profile

Assistant Professor

• Photography
• Digital Media
• Interdisciplinary Art
• +8 more

Dan Torop is an Assistant Professor in the Department of Art at Cornell University’s College of Architecture, Art, and Planning (AAP). He holds a B.A. in Visual and Environmental Studies from Harvard and an M.F.A. in Photography from Yale School of Art. Prior to Cornell, he taught at New York University, Columbia University, Florida State University, City College, and Parsons School of Design. B.A., Visual and Environmental Studies, Harvard University M.F.A., Photography, Yale School of Art His artistic and research practice centers on photography, digital media, and interdisciplinary art, with a focus on landscape, perception, and the technical processes of image-making. He explores how digital tools, code, and simulation shape our understanding of land and environment. His work spans photography, 3D animation, public art, and collaborative publishing through ASMR4, a photo book series he co-edits. His recent creative works—such as Falling Water (2023), Three Rainbows (2023), and The Soil Factory —examine water-scarce and deluged landscapes through sustained seasonal observation. These projects blend technical precision with poetic inquiry, often referencing historical journeys (e.g., Lewis and Clark, Mark Twain) and scientific phenomena (e.g., entropy, fluid dynamics). His digital project Ocean (2000–present) is a real-time physics-based simulation of the sea, reflecting his deep engagement with computational art. Marian O. Naumburg Fellow, MacDowell Colony (2013) Wendover Residence Program, Center for Land Use Interpretation (2011) EdLab Digital Art Residency, Columbia University (2009) Winter Resident, Eyebeam, New York (2008) Gardner Traveling Fellowship, Harvard (1994) Torop contributes code to darktable , an open-source photography processing tool, and leads grant-funded projects such as The Soil Factory , supported by the Warhol Foundation and Cornell’s Center for Cities. His exhibitions have been featured at institutions including Derek Eller Gallery, Lynden Sculpture Garden, Tomato Mouse, and Tops Gallery. He also engages in public discourse, including an interview on WRFI’s The Scene in 2023 discussing the cultural histories of photographic tools. His work is represented by Derek Eller Gallery, New York City, and he maintains an active studio practice involving digital experimentation, residency projects, and collaborative publishing.

Jürgen SingerView profile

Professor

• Visual Computing
• Computer Graphics
• Computer Vision
• +7 more

Jürgen Singer is a Professor of Visual Computing at Harz University of Applied Sciences, coordinating the Media Informatics degree program. His academic career spans over two decades, including prior roles as Professor of Computer Graphics, Animation, and Virtual Reality (2006-2015) and senior research positions at institutions like MIT and the University of Texas. Education: PhD in Mathematics (1995), University of Houston Diploma in Theoretical Physics (1988), Friedrich-Alexander University Erlangen-Nuremberg Research Interests focus on visual computing, encompassing image processing, computer graphics, virtual reality, and machine learning. He explores applications in game development, 3D rendering, and web technologies, particularly emphasizing procedural generation, AI integration, and real-time visualization. Teaching Contributions include core courses in Java programming, software tools (Git, Docker, Jenkins), mathematics for computer graphics, and advanced topics like concurrency and distributed programming. His supervised theses reflect ongoing innovation in DevOps, metaverse content creation, and accessibility in UI design. Scientific Awards are not explicitly mentioned in the provided text. Labs & Teams: While specific lab details aren't provided, his work with student theses indicates collaboration in media informatics, game development, and visualization research groups.

Katherine ParsonsView profile

Assistant Professor

• Digital Art
• Virtual Reality
• Augmented Reality
• +12 more

Katherine Parsons is an Assistant Professor of Digital Art at Seaver College, Pepperdine University, and an instructor at Art Center College of Design. She holds an M.F.A. in Media Arts from UCLA and is actively engaged in both academic and artistic practices centered on digital media, virtual reality, and new media art. She is the co-founder of FLOAT, a VR/AR art studio, and founder of FEMMEBIT, a platform celebrating women and gender-diverse artists in video and new media. M.F.A., UCLA Design Media Arts (2015) M.A., CSU-Northridge, Digital Art and Video (2013) B.F.A., Montana State University, Fine Arts/Graphic Design (2005) Her research and artistic practice focus on human connection, grief, environmental systems, and the integration of technology in expressive forms. She explores these themes through immersive media, live cinema, and interactive installations. Her work bridges art, technology, and emotional experience, often involving community engagement and feminist perspectives. Her recent creative output includes VR projects such as Screensavers VR , Irrational Exuberance , and 3VR: Liminal Realities , exhibited at venues like SFMOMA, SXSW, and Slamdance. These works reflect a strong trend in immersive storytelling, digital preservation, and the emotional potential of virtual environments. She frequently collaborates with musicians and directors, including Mark Pellington and Silversun Pickups. 160/90 Scholarship, UCLA Research Apprenticeship in Digital Humanities, UCLA and the Hammer CFPRT Scholar, UCLA Library Special Collections Deans Council, UCLA School of Arts and Architecture Shed Scholarship, CSU-Northridge ADDY Awards: One Gold, two Silver, four Bronze Katherine Parsons has mentored students through university courses and workshops at SXSW and Pepperdine. She has curated exhibitions such as Pepperdine Artist Talks and FEMMEBIT , and has been involved in community-based initiatives like Primal U and Outer Echoes . While specific grant details are not listed, her residencies and project funding suggest ongoing support for her interdisciplinary work. She is actively involved in artist collectives and labs, including VOIDLAB at UCLA, a feminist collective for women and gender-diverse individuals in arts and technology. Her studio practice includes collaborations with FLOAT, FEMMEBIT, and Machine Project, emphasizing experimental media, projection mapping, and community-driven art events.

• Computer Graphics
• Digital Cultural Heritage
• 3D Visualization
• +5 more

Imanol Muñoz Pandiella is a teaching staff member at the Faculty of Informatics of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Science (CS). He plays a key role in supervising Final Degree Projects across programs such as Computer Engineering and Data Science and Engineering. University: Universitat Politècnica de Catalunya School: Faculty of Informatics of Barcelona Department: Department of Computer Science Role: Lecturer in Computer Science His research and teaching focus on applied computer science in digital cultural heritage, particularly 3D modeling, visualization, virtual reconstruction, and interactive systems. Projects under his supervision demonstrate a strong emphasis on developing practical tools for heritage preservation, including segmentation, lighting simulation, texture generation, and web-based 3D viewers. The recent publications reflect a consistent trend in leveraging computer graphics and visualization technologies for cultural heritage applications. These works integrate techniques from image processing, rendering, simulation, and human-computer interaction, often targeting open-access, real-world deployment in digital museums and conservation efforts. While no formal scientific awards are listed in the provided content, his sustained mentorship and project supervision indicate a significant academic contribution. He has advised numerous undergraduate students on their final degree projects, contributing to both education and applied research. Martin Vall Oliveira Jeremy Comino Raigon Roc Salvador Andreazini Ramon Ribas Domingo Max Vives Ribera Neus Mayol Alcaraz Javier Castano Mansillas Bernat Borras Civil Roberto Amat Alins Pau Matas Albiol Miriam Mendez Serrano Albert Barreiro Diaz Pau Nunez Amoros He collaborates closely with researchers such as Carlos Andújar Gran, Óscar Argudo Medrano, and Pere Pau Vázquez Alcocer, indicating integration within a specialized research group focused on graphics and heritage visualization. The lab environment appears to emphasize interdisciplinary projects combining computer science with cultural preservation goals.