Find Academic Supervisors

Nizar Ouarti is an Associate Professor at ISIR (Institute of Intelligent Systems and Robotics), Sorbonne University, and a member of the ASIMOV research team. His work focuses on robotics, haptics, and human-computer interaction. His research spans haptic communication of emotions using air jet stimulation, operator-controlled nanomanipulation with virtual reality, and gaze tracking systems enhanced by visual attention models. He also applies signal processing techniques, including non-stationary wavelet packets, to denoising problems. His work bridges human perception and machine interfaces for applications in medical and industrial robotics. His publications demonstrate a strong trend in multimodal human-robot interaction, with emphasis on tactile and visual feedback. Key areas include nanomanipulation, emotion recognition through haptics, and real-time gaze tracking, showing interdisciplinary integration of robotics, signal processing, and cognitive science. Ouarti is an active member of the ASIMOV team at ISIR, which develops intelligent robotic systems for precise manipulation and human-centered applications.

• Robotics
• Human-Computer Interaction
• Haptics
• +3 more

Nicolas Holzschuch is a Senior Research Scientist (DR2) at INRIA Grenoble-Rhône-Alpes, leading the Maverick research team. He has held academic positions at institutions including École Polytechnique (France), University of Cape Town, and LORIA/INRIA Lorraine. Research Focus: Illumination simulation, frequency analysis of light transport, advanced rendering techniques (subsurface scattering, real-time ray-tracing), and material modeling. Teaching: Courses on computer graphics, rendering, and virtual image creation at ENSIMAG, MOSIG, École Polytechnique, and Polytech Grenoble. Funding: Research supported by the French National Research Agency (ANR) through the ALTA project.

• Computer Graphics
• Illumination Simulation
• Light Transport Analysis
• +4 more

Romain Vergne is an Associate Professor at the University of Grenoble Alpes, France, and a researcher affiliated with the Maverick team (Inria, LJK) since 2012. Previously, he conducted postdoctoral research at Justus Liebig University Giessen (Germany). His research focuses on the phenomenological links between shapes, light, and material perception, aiming to develop perceptually plausible computer graphics tools. Key interests include shape depiction, visual perception, texture synthesis, and appearance control via his GPU-centric node-based system Gratin for 2D/3D data manipulation. Best Paper Awards: AFIG 2018, Expressive 2018, AFIG 2015 Honorable Mentions: NPAR 2011, I3D 2010 Recent publications explore Gabor noise optimization, motion-coherent stylization, and non-photorealistic rendering frameworks. He also contributes to eco-feedback visualization systems and cartographic style extensions.

• Computer Graphics
• Visual Perception
• Shape Depiction
• +5 more

Dr. Christoph Peters serves as a Postdoctoral Researcher (Research Fellow) at the Computer Graphics Group, Karlsruhe Institute of Technology (KIT), Germany. His office is located in room 139 at Adenauerring 2, Building 50.20, Karlsruhe. His research specializes in computer graphics with emphases on rendering algorithms, image processing, and visual computing. The project 'momentsingraphics.de' indicates advanced work in moment-based techniques for real-time rendering and image synthesis, reflecting his contributions to computational graphics methodologies. As a core member of KIT's Computer Graphics Group, Dr. Peters engages in cutting-edge visual computing research, collaborating on projects that bridge theoretical innovation and practical applications in graphics processing.

• Computer Graphics
• Rendering
• Image Processing
• +1 more

Pierre Bénard serves as an Associate Professor at the University of Bordeaux, conducting research with the manao team at LaBRI (CNRS, Inria). His academic career spans teaching and research in computer graphics with notable industry experience at Pixar Research Group and academic work at the University of Toronto. Dr. Bénard earned his PhD from the MSTII Doctoral School of Université de Grenoble in July 2011 under the supervision of Joëlle Thollot and François Sillion at Laboratoire Jean Kuntzmann. His educational background forms the foundation for his expertise in graphics systems and visualization techniques. His research focuses on computer graphics with specializations in image synthesis, 3D modeling, and animation techniques. His work bridges theoretical computer graphics with practical implementation, particularly evident in his teaching of OpenGL-based rendering systems and shader programming. His research interests encompass visual effects creation, non-linear animation techniques, and real-time graphics programming for multimedia applications. As an educator, Dr. Bénard teaches advanced courses including Advanced Image Synthesis (M2), 3D Worlds (M1), and C++ Programming for Multimedia. His teaching philosophy emphasizes hands-on implementation of graphics concepts using modern OpenGL frameworks and C++ programming techniques. His course materials demonstrate a commitment to teaching object-oriented programming principles through practical graphics applications. Dr. Bénard leads research activities within the manao team at LaBRI, focusing on innovative graphics techniques and visual effects. His industry experience at Pixar complements his academic work, providing practical insights into production-level graphics systems. His research environment fosters collaboration between academic theory and industry application in the computer graphics domain.

• Computer Graphics
• Image Synthesis
• 3D Modeling
• +3 more

Thomas Engelhardt is a Researcher and PhD student at the Computer Graphics Group of the Karlsruhe Institute of Technology (KIT) , Germany. His work focuses on real-time rendering techniques, including global illumination, participating media, and visibility culling. Research Interests: Interactive 3D graphics High-quality lighting simulation GPU-based rendering algorithms Occlusion culling and visibility optimization Participating media rendering Environment mapping techniques Publications demonstrate expertise in virtual point lights, epipolar sampling, hierarchical buffers, and scalable final gathering for global illumination.

• Real-Time Rendering
• Global Illumination
• 3D Graphics
• +4 more

Manolis Sangriotis is an Associate Professor at the National and Kapodistrian University of Athens, affiliated with the Department of Informatics and Telecommunications. His academic journey began with a B.Sc. in Physics (1970), followed by M.Sc. degrees in Electronics and Radioelectrology (1973) and Electronic Automation (1975), culminating in a Ph.D. in Informatics and Telecommunications (1980) from the University of Athens. His research focuses on image processing , computer vision , and 3D imaging , with emphasis on stereo image coding, integral photography, and real-time compression architectures. He explores applications in medical imaging, autostereoscopic displays, and multimedia systems, leveraging wavelet transforms, morphological operations, and statistical clustering. Recent publications (2012–2004) reveal a strong trend toward integral imaging innovations , including rectification frameworks, watermarking, and 3D-DCT compression. His work consistently addresses challenges in multiview data representation, disparity estimation, and photorealistic rendering, bridging computer vision with optical engineering. Scientific Awards: Best Paper Award at IEEE 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (2012) He actively advises PhD students, including Eirini Kostopoulou, Tzanoukos Georgios, and Papageorgiou Louis. His research group collaborates on projects related to real-time systems and image datasets, often supported by institutional grants. As part of the RTSImage laboratory, he contributes to developing computational tools for image analysis and compression, with applications spanning medical diagnostics and 3D display technologies. Future directions include advancing omnidirectional imaging and robustness in automated biomedical assessments.

• Image Processing
• Computer Vision
• Stereo Image Coding
• +4 more

Jonas Unger is a Professor at Linköping University's Department of Engineering and Natural Sciences (ITN) and Media and Information Technology (MIT). As a research leader in computer graphics and image processing, he contributes to advanced visualization techniques, GPU computing, and AI applications in healthcare and climate adaptation. Specializes in BRDF modeling, spectral light field imaging, and augmented intelligence Active in AI4Climateadaptation and Wallenberg Autonomous Systems Program (WASP) Recipient of the 2023 Chester Carlson Research Prize Develops AI methods for medical imaging (SCAPIS dataset) and autonomous systems His recent work focuses on deep learning for material acquisition, real-time rendering optimizations, and visual analytics pipelines for disaster response systems. Current projects include multi-agent reinforcement learning for air traffic control and GPU-accelerated signal processing techniques. Scientific awards include: Chester Carlson Research Prize (2023) He collaborates with Visual Sweden's Augmented Intelligence platform, co-leads major visualization conferences, and contributes to Horizon 2020 Marie Skłodowska-Curie funded research. Contact: jonas.unger@liu.se

• Computer Graphics
• Image Processing
• Artificial Intelligence
• +3 more

Carolin Breuer M.Sc. is a Research Assistant at the Institute of Hearing Technology and Acoustics (IHTA) at RWTH Aachen University, specializing in audio-visual interaction, auditory scene analysis, binaural technology, and psychoacoustics. Her work focuses on auditory selective attention in virtual reality classroom environments, investigating how noise, room acoustics, and visual cues affect cognitive performance. Her research centers on realistic classroom noise scenarios and their impact on auditory attention, leveraging virtual reality to simulate educational environments. Key themes include voice quality effects on student perception, binaural rendering for noise simulation, and audiovisual coherence in immersive settings. She examines how factors like room reverberation and visual priming influence speech perception, memory, and listening effort in students. Breuer's recent publications (2023-2025) demonstrate a strong trend toward VR-based experimental paradigms for studying cognitive load in educational contexts. Her work bridges acoustics, cognitive psychology, and educational technology, with recurring subfields including binaural hearing, psychoacoustics, and classroom noise modeling. She actively contributes to the AUDICTIVE project (Priority Program SPP2236) advancing auditory cognition research. As a research supervisor, Breuer has guided multiple master's theses on auditory selective attention paradigms and audiovisual interaction in VR. Her work is conducted within IHTA's advanced facilities for acoustic virtual reality and auralization, supporting experiments in noise generation, real-time processing, and immersive classroom simulations.

• Audio-visual Interaction
• Auditory Scene Analysis
• Binaural Technology
• +3 more

Tatiana Tommasi is an Associate Professor at the Department of Control and Computer Science (DAUIN) at Polytechnic University of Turin, actively contributing to advanced AI research and education. She serves as Deputy Coordinator of the National Doctoral College in Artificial Intelligence and Scientific Advisor for the European AI, Data, and Robotics Association (ADRA) and ELLIS Network. Her affiliations include the SmartData@PoliTO Laboratory and VANDAL Visual and Multimodal Applied Learning Laboratory. Her research focuses on algorithm fairness, computer vision, domain adaptation, autonomous driving, and robot learning. Recent work includes improving neural network reliability through fault-aware design, 3D semantic novelty detection, and visual relationship reasoning for robotic grasp planning. She has contributed to European research projects like ELSA (Secure and Safe AI) and commercial initiatives in space technologies and autonomous vehicle uncertainty quantification. Selected 2024-2025 publications demonstrate expertise in foundation models, fairness metrics, uncertainty estimation, and geometric deep learning. Her team leads commercial research projects on industrial robotics trajectory generation and satellite data analysis. She teaches core courses in Computer Engineering, Automotive Engineering, and Data Science, mentoring PhD students in Artificial Intelligence and Computer Systems Engineering. Research keywords: Artificial Intelligence, Machine Learning, Computer Vision, Domain Adaptation, Robot Learning, Transfer Learning, Fairness in AI, Uncertainty Quantification, Autonomous Driving, 3D Point Cloud Analysis, Vision Transformers, Industrial Robotics.

• Artificial Intelligence
• Computer Vision
• Domain Adaptation
• +6 more

Professor Brian Curless is a faculty member at the Paul G. Allen School of Computer Science & Engineering at the University of Washington , where he has been since 1998. His research focuses on 3D reconstruction , computer graphics , computer vision , and computational photography , with a particular emphasis on neural rendering , human shape modeling , and augmented reality . He leads the Graphics and Imaging Laboratory (GRAIL) and co-founded the UW Reality Lab . Education : B.S. in Electrical Engineering (University of Texas at Austin), M.S. and Ph.D. in Computer Science (Stanford University) His recent work includes NeRF-based view extrapolation , real-time background matting , and generative 3D modeling using photo collections. He has contributed to CVPR , SIGGRAPH Asia , and ECCV conferences, focusing on dynamic scene animation , light diffusion , and shadow removal . Honors : Best Paper Award (3D Vision 2013) Professor Curless has taught courses in computer graphics (CSE 457/557/558) and co-developed software tools like VripPack for volumetric range image processing. He maintains collaborations with institutions like Stanford University and Microsoft , and his work spans applications in digital art preservation , virtual production , and interactive technologies .

• Computer Graphics
• Computer Vision
• 3D Reconstruction
• +6 more

Mark Boss, M.Sc., serves as a Lecturer at the Wilhelm Schickard Institute for Computer Science at the University of Tübingen. His academic appointment focuses on the Computer Graphics department where he delivers specialized instruction in visual computing disciplines. His research interests center on Computer Graphics with strong emphasis on Computer Vision and Machine Learning applications. His expertise extends to Special Effects production and Computer Games development, reflecting a practical orientation toward real-time rendering systems and interactive visual technologies. His work bridges theoretical foundations with industry applications in digital content creation. During the Winter Semester 2019/20, he taught multiple advanced courses including Graphics, Computer Vision and Machine Learning (INF3153), Computer Graphics (INFO4167), and Advanced Topics in Computer Graphics and Computer Vision (INFO4168), demonstrating comprehensive coverage of the visual computing pipeline from fundamentals to specialized applications.

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

Nektaria Tryfona is a Collegiate Associate Professor at Virginia Tech's Bradley Department of Electrical and Computer Engineering, located at the Virginia Tech Research Center in Arlington. She holds a Ph.D., M.Sc., and B.Sc. in Computer Science from the University of Patras, Greece. Her research focuses on experiential learning at the intersection of AI and cybersecurity, resilient ML algorithms, spatiotemporal databases, and data management in data-intensive environments. She also develops industry-collaborative graduate capstone projects and teaches courses blending engineering with business principles. Her work emphasizes resilient ML for privacy/security , data quality in spatiotemporal systems , and geographic database design . Notable contributions include models for dynamic travel time prediction, ontology-based location services, and query optimization for user groups. Teaching interests extend to m-learning frameworks for K-12 education and professional development programs. While no awards are listed, her extensive publication record (spanning 1991–2017) showcases expertise in database modeling, geographic applications, and spatiotemporal systems. Advising/grants sections remain unspecified, and no lab/team affiliations are detailed.

• AI and Cybersecurity
• Spatiotemporal Databases
• Data Management Systems
• +4 more

Becky Lake is an Adjunct Professor of Graphic and Media Design at Marymount University and Producer of Volumetric Content at the Institute for IDEAS. She holds a BA in Graphic Design with minors in History and Illustration from an unspecified institution and will complete her MFA in Film and Media Arts at American University in May 2024. Her research explores the intersection of traditional and emerging media forms: Documentary storytelling through film photography and immersive formats Development of volumetric content creation techniques Interactive narrative structures in virtual reality environments Cross-disciplinary approaches to visual storytelling Her recent publications focus on experimental applications of immersive technologies in sports training, theatrical performance, and narrative experiences, demonstrating consistent innovation in mixed-reality applications.

• Documentary Film
• Film Photography
• Immersive Media
• +3 more

Dr. Philipp Ackermann is a researcher and academic leader at ZHAW Zurich University of Applied Sciences, School of Engineering. His roles include Deputy Head of the Human-Centered Computing Research Group, Head of the Visual Computing Lab, Deputy Programme Director for Medical Informatics, and Delegate for Entrepreneurship in the School of Engineering. His research focuses on Visual Computing (especially Augmented Reality), Medical Informatics , and Digital Health . He leads projects like AR Patterns (design patterns for AR experiences) and Automated Recognition of Modular Product Structures in AR , which explore circular economy applications. His work bridges technical innovation with practical implementation, emphasizing collaboration in immersive technologies and data-driven solutions. Key research trends in his articles include: Advancements in XR technologies (e.g., 3D inference pipelines, physically-based rendering) Collaborative systems in AR/VR environments Applications of AR in healthcare and industrial settings Systematic reviews of collaboration in virtual spaces He has contributed to projects as both leader and team member, addressing topics from surgical proficiency training to intelligent viticulture. His work often emphasizes real-world impact through partnerships between academia and industry. Philipp leads the Visual Computing Lab , fostering interdisciplinary innovation in computer graphics and immersive technologies. His educational contributions include teaching the CAS Advanced Statistical Data Analysis course.

• Visual Computing
• Augmented Reality (AR)
• Medical Informatics
• +4 more