Markus Portmann is a Researcher in the Department of Computer Science at ETH Zürich, specifically within the Computer Graphics group. His affiliation is listed under the Professorship for Computer Science (Computer Graphics). He is based at the Universitätstrasse 6, 8092 Zürich, Switzerland, and can be reached via email at markus.portmann@inf.ethz.ch. While specific research interests are not detailed in the provided text, his affiliation with the Computer Graphics department suggests a focus on areas such as rendering algorithms, 3D modeling, virtual environments, and visualization technologies. No information on academic awards, grants, or advised students is explicitly mentioned in the text.
Kai Hormann is a full professor in the Faculty of Informatics at Università della Svizzera italiana (USI Lugano). He earned his Ph.D. in computer science from the University of Erlangen-Nürnberg in 2002 and has held positions at Clausthal University of Technology, Caltech, and the CNR in Pisa. His research focuses on mathematical foundations of geometry processing, including barycentric coordinates, subdivision algorithms, and rational interpolation. Hormann has authored over 100 publications and serves as an associate editor for journals like Computer Aided Geometric Design and Dolomites Research Notes on Approximation . In 2024, he received the prestigious John A. Gregory Award for his contributions to geometric modeling. Education : Ph.D. in Computer Science, University of Erlangen-Nürnberg (2002) Diploma in Mathematics, University of Erlangen (1997) Abitur, Leibniz-Gymnasium Bad Schwartau (1992) Research Interests : Hormann’s work bridges computer science, applied mathematics, and engineering. His current projects include interactive shape deformations, time-dependent object processing, 3D visualization, and GPU-accelerated algorithms. His research areas encompass geometry processing, computational sciences, and numerical analysis. Publications : His recent articles focus on barycentric coordinates, subdivision schemes, and surface reconstruction. Themes include transfinite coordinates, curvature continuity, and efficient interpolation methods. Awards : John A. Gregory Award (2024) Chair of SIAM Activity Group on Geometric Design (2017–2018) Advising & Grants : He has advised numerous PhD students, including work on barycentric rational curves and subdivision schemes. He has organized conferences such as the SIAM GD and GMP series, reflecting his leadership in computational geometry. Labs & Teams : Hormann is affiliated with the Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI), collaborating on interdisciplinary projects in AI and geometry processing.
Lettry Louis is an Assistant Professor at HES-SO Valais-Wallis, affiliated with the School of Engineering and the Department of Computer Science and Communication Systems. His research focuses on Computer Vision, Deep Learning, and Image Processing, with applications in intrinsic image decomposition, multi-camera systems, and pattern recognition. He leads projects funded by Innosuisse, including WhiteNightSkEyes (CHF 13'928, 2022–2023) and Calligranalytics (CHF 15'000, 2022–2023), which explore virtual architecture visualization and automated handwriting digitization, respectively. His research contributions include seminal work on unsupervised deep learning methods for image decomposition, adversarial networks, and large-scale pedestrian detection datasets like Wildtrack. He collaborates with academic partners at VS - Institut Systèmes industriels and researchers such as Luc van Gool and Pascal Fua. His projects address challenges in immersive virtual environments and robust computer vision algorithms.
Current research associate and doctoral student at ETH Zurich's Chair of Production and Operations Management (POM), focusing on industrial engineering and augmented reality applications in manufacturing. Holds M.Sc. with distinction in Industrial Engineering and Management from Karlsruhe Institute of Technology (KIT), with research conducted at University of Cambridge's Institute of Manufacturing. Educational background: B.Sc. & M.Sc. Industrial Engineering and Management, KIT, Germany Master's thesis research at University of Cambridge, UK Research integrates machine learning and augmented reality into manufacturing processes, particularly for quality inspection and guided assembly systems. Publications examine data application frameworks in VUCA environments and evaluate AR technology effectiveness in industrial settings. Recent publications highlight: Contextual AR evaluation methodologies Smart manufacturing data integration User-centered quality inspection systems Scientific achievements: Published in IEEE Transactions on Visualization and Computer Graphics Presented at IEEE ISMAR-Adjunct Contributed to Springer LNCS series publications Also develops public transport navigation apps integrating 50+ networks across Germany, Austria, and Switzerland, while maintaining active engagement in sports and outdoor activities.
