Find Academic Supervisors

André StorkView profile

Professor

• Computer Graphics
• Computer-Aided Design (CAD)
• Simulation
• +4 more

Prof. André Stork is a Professor at Technische Universität Darmstadt and Industry Director (Automotive) at Fraunhofer IGD. He holds a PhD in Computer Science (2000) and a diploma (1992) from TU Darmstadt. His research focuses on geometry modeling/processing, 3D interaction, simulation, and visualization. He leads projects in automotive/ manufacturing industries, coordinating over 200 R&D initiatives. His work emphasizes real-time simulation, CAD-AM integration, and GPU-based algorithms. Education: PhD in Computer Science (TU Darmstadt, 2000) Key Roles: Department Head (2002–2023), Editor-in-Chief of IEEE CG&A Research interests include graded multi-material CAD, iso-geometric analysis, and interactive design tools. He has authored/co-authored 200+ papers (h-index 25), focusing on fields like real-time rendering, mesh processing, and Industry 4.0 applications. Recent articles highlight trends in GPU-accelerated simulation, digital twin technologies, and metaverse infrastructure. His work bridges academia and industry, addressing challenges in additive manufacturing and virtual prototyping. Students advised: 6 doctoral/master’s students (e.g., Daniel Ströter, Christian Altenhofen) Key Projects: GraMMaCAD, CloudiFacturing, and Industry 4.0 studies He chairs conferences like VAST and serves on editorial boards for journals including IEEE CG&A and Applied Sciences.

• Human Computer Interaction (HCI)
• Virtual and Augmented Reality
• Gamification Technology
• +5 more

Professor Manolya Kavakli-Thorne is a distinguished academic at Aston University, holding dual appointments as Professor of Gamification and Simulation Technology in the College of Engineering and Physical Sciences and the Digital Futures Institute. Her interdisciplinary research spans Human-Computer Interaction (HCI), Virtual/Augmented Reality, and Mixed Reality Systems. Currently supervises 3 PhD students and advises 2 others at Aston University, with prior mentorship of 119 postgraduate students. Total research grants exceed £18.1 million, including major projects like the EU-funded Nexus (€392K) and UKRI Diatomic Accelerator (£8M). Her research focuses on applying gamification to emergency management, cybersecurity, and healthcare. Notable achievements include establishing the first Virtual Reality Lab in Sydney (2005) and the Virtual Production Studio in Canberra (2022). Awards include the 2022 Best Paper Award (IEEE) and multiple top-tier conference recognitions. She has authored over 240 refereed papers and pioneered facilities like CEPET (2015) and SIGMA research groups. Professional roles include Guest Editor for Algorithms (2024) and editorial board memberships across 15+ journals. Her work bridges academia and industry through collaborations with institutions like Birmingham City Council and the ACT Government.

• Structural Dynamics
• Vibrations
• Multibody Dynamics
• +4 more

Prof. Dr. Daniel Rixen serves as Professor and Chair of Applied Mechanics at the Technical University of Munich (TUM), based at Boltzmannstr. 15 in Garching bei München. His leadership of the Chair of Applied Mechanics (TUMWLAM) encompasses research, teaching, and departmental administration within mechanical engineering. Research focuses on structural dynamics , vibrations , and multibody systems , with pioneering work in frequency-based substructuring , transfer path analysis , and model order reduction . His group develops critical open-source tools including pyFBS for substructuring workflows and OASIS for sensor data acquisition, bridging computational and experimental mechanics. Recent work integrates machine learning for dynamic simulations and real-time flexible body modeling using game engines. Analysis of 2024-2025 publications reveals three dominant trends: (1) Advanced joint identification techniques for bolted connections, (2) Real-time simulation frameworks combining Unity engine physics with ray-traced contact, and (3) Hybrid approaches merging machine learning with traditional dynamics. These efforts consistently emphasize open-source implementation and experimental validation. The Chair of Applied Mechanics functions as his primary research unit, driving innovation in dynamic substructuring methodologies and their industrial applications across automotive, robotics, and sports engineering domains.

Leo DorstView profile

Professor

• Geometric Algebra
• Computer Vision
• Clifford Algebra
• +5 more

Dr. Leo Dorst is a Professor at the Informatics Institute within the Faculty of Sciences at the University of Amsterdam. He leads research in geometric algebra and computer vision, and is actively involved in both teaching and international conference organization. His work bridges theoretical mathematics with practical applications in computer science. Dr. Dorst has been instrumental in advancing geometric algebra as a computational framework for geometrical applications. His research spans from foundational mathematical principles to practical implementations in computer vision, robotics, and machine learning. He is particularly known for his work on conformal geometric algebra, plane-based geometric algebra, and their applications to 3D geometry and physics modeling. His research has evolved from theoretical foundations to cutting-edge applications in deep learning and morphological neural networks. Dr. Dorst has authored the influential book "Geometric Algebra for Computer Science" and has been organizing the Applied Geometric Algebras in Computer Science and Engineering (AGACSE) conference series since 2010. His most recent conference, AGACSE 2024, featured presentations on geometric algebra applications in computer graphics, machine learning, physics, and engineering. 2005 Inventor of the Year award Dr. Dorst has supervised numerous thesis projects and has been active in mentoring students through reading clubs on computer vision topics, including studies of Hartley and Zisserman's "Multiple View Geometry" and Kanatani's works. His teaching portfolio includes linear algebra, computer vision, robotics, and applied mathematics courses at various levels from bachelor to PhD. He is a key member of the Computer Vision Group at the University of Amsterdam, where his work connects mathematical theory with practical implementations in imaging, robotics, and machine learning systems.

• 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.

Romain PacanowskiView profile

Researcher

• Material Appearance Representation
• BRDF Modeling
• Computer Graphics
• +3 more

Romain Pacanowski is a Research Scientist at INRIA Bordeaux South-West, a French national research institute for computer science and applied mathematics. His work bridges computer graphics, optics, and physics with a focus on material appearance representation and rendering techniques. His primary research interests center on Material Appearance Representation, with specific focus on BRDF modeling and acquisition. He works closely with opticians and physicists to improve the quality and speed of (SV)-BRDF and roughness acquisition. His research also involves developing new mathematical representations and parametrizations of the BRDF space. Additional interests include Global Illumination for both offline and real-time rendering systems, sketched-based UI for highlight design, and emerging technologies like OptiX for hybrid rendering systems. His publication record shows a consistent focus on BRDF modeling, material appearance, and rendering techniques. His recent work (2016-2018) particularly emphasizes diffraction effects in material measurements, novel BRDF representations, and efficient sampling techniques for rendering. He frequently collaborates with researchers from academic institutions while working at the INRIA research institute. Pacanowski maintains an active research program with numerous publications in top computer graphics venues including SIGGRAPH, Eurographics, and Computer Graphics Forum. His work combines theoretical modeling with practical implementation, often providing open-source tools like the ALTA BRDF Analysis Library.

• Bioinformatics
• Theoretical Computer Science
• Computational Biology
• +3 more

Atze van der Ploeg is an Assistant Professor at the Vrije Universiteit Amsterdam's Faculty of Science, within the Theoretical Computer Science department. He is also affiliated with the Network Institute. His research focuses on interdisciplinary topics at the intersection of computer science and computational biology, with expertise in algorithm design, bioinformatics tools, and programming languages. He holds an MSc and a PhD, though specific academic details about his degrees are not provided in the text. His teaching responsibilities include courses such as Introduction to Programming (PYTHON), Object-Oriented and Functional Programming, and Systems Programming Project. These courses reflect his commitment to foundational programming skills and advanced software development practices. Key research interests include developing tools for bioinformatics (e.g., the PRALINE alignment toolkit), functional reactive programming, and visualization systems. His work emphasizes practical, principled approaches to solving complex computational problems. Though no specific grants or awards are listed, his publications span topics like type-safe dynamic typing, modular language implementation, and algorithm optimization, showcasing contributions to both theoretical and applied computer science.

Alan H. BarrView profile

Professor

• Computer Graphics
• Biophysics
• Medical Computing
• +5 more

Alan H. Barr is a Professor of Computer Science at the California Institute of Technology (Caltech), within the Division of Engineering and Applied Science. He holds a B.S., M.S., and Ph.D. from Rensselaer Polytechnic Institute (1973-1983). His career includes roles as Research Fellow (Caltech, 1984), Assistant Professor (1984-90), Associate Professor (1990-98), and Professor (1998–present). He served as Executive Officer for Computer Science from 2000-2001. Education : B.S., Rensselaer Polytechnic Institute, 1973 M.S., Rensselaer Polytechnic Institute, 1976 Ph.D., Rensselaer Polytechnic Institute, 1983 His research focuses on the mathematical foundations of computer graphics, biophysical modeling, and space mission design. Key interests include predictive simulation methods, computational biophysics, GPU computing, and collaborations with NASA's JPL on the InterPlanetary Superhighway. He has pioneered methods like elastically deformable models and constrained optimization frameworks. Publications highlight advancements in ray tracing, deformable models, and medical imaging. Notable awards include the ACM SIGGRAPH Achievement Award (1988) and ACM Fellow (1995). Awards : ACM SIGGRAPH Achievement Award (1988) ACM Fellow (1995) Barr has advised numerous students whose work spans Pixar, NVIDIA, and academia. He leads the Caltech Computer Graphics Group, collaborating on projects like the Global Virtual Hospital and Goal-Directed MRI.

• Computer Graphics
• Real-Time Rendering
• Algorithms
• +3 more

Tomas Akenine-Möller is a Professor in the Department of Computer Science at Lund University, affiliated with the Faculty of Engineering (LTH). He is also part of ELLIIT, the Linköping-Lund initiative on IT and mobile communication. His research focuses on real-time rendering, computer graphics algorithms, and human vision modeling, contributing to UN Sustainable Development Goals through technological advancements. Education details are not explicitly provided in the text, but his expertise stems from a strong academic background in computer science and engineering. His research interests include algorithms optimization, ray-tracing techniques, graphic hardware performance, and visual perception models. Recent work trends involve temporal edge detection in human vision, neural compression of material textures, and luminance-preservation in graphics. His projects emphasize practical applications of graphics algorithms in real-world scenarios. No scientific awards are explicitly listed. However, he has supervised doctoral research, including the project 'Evaluating and Improving Rendered Visual Experiences' (2019-2024), where he acted as an assistant supervisor. This project explores enhancing visual rendering quality and user experience. No specific lab or team affiliations are mentioned, but his collaborative networks span multiple countries, reflecting interdisciplinary research partnerships.

Gonzalo BesuievskyView profile

Associate Professor

• Computer graphics
• Global illumination
• Radiosity
• +4 more

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.

• Computer Graphics
• Interactive Environments
• Visualization
• +4 more

Prof. Dr. André Hinkenjann is the Founding Director of the Institute for Visual Computing and holds a Research Professorship in Computer Graphics and Interactive Systems at Bonn-Rhein-Sieg University of Applied Sciences. His research spans computer graphics, interactive environments, and visualization, with applications in VR/AR, digital twins, and scientific data analysis. He leads multidisciplinary projects funded by institutions like BMBF and Zukunftsfonds NRW. His research integrates: Computer Graphics : Real-time global illumination, foveated rendering, and GPU optimization Interactive Systems : Haptic interfaces, large-display collaboration, and spatial interaction techniques Applied VR/AR : From trauma therapy to industrial training and cultural heritage preservation Recent publications emphasize mixed-reality interaction, neural rendering, and perceptual optimization, reflecting a consistent focus on bridging theoretical graphics with human-centered applications. His lab frequently contributes to high-impact venues like ACM SIGGRAPH, IEEE VR, and Eurographics. Notable projects under his direction include: PInBiM: Gamified citizen science for museum-based insect research DT4MP: Digital twins for urban/industrial multiphysics simulations GTN: State-wide network advancing game technology in NRW Witality: VR for sensory wine analysis