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Données administratives

Sofiane Sarni

sofiane.sarni@epfl.ch +41 21 693 14 04

EPFL SDSC
INN 218 (Bâtiment INN)
Station 14
CH-1015 Lausanne

Publications représentatives

A Spreadsheet Framework for Visual Exploration of Biomedical Datasets

SARNI, S.; MACIEL, A.; BOULIC, R.; THALMANN, D.
Published in Proceddings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), Dublin, Ireland, June 23-24, 2005 in

Stress Distribution Visualization on Pre- and Post-Operative Virtual Hip

MACIEL, A.; SARNI, S.; BOULIC, R.; THALMANN, D.
Published in 5th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS 2005), Helsinki, Finland, June 19-22, 2005 in

Evaluation and Visualization of Stress and Strain on Soft Biological Tissues in Contact

SARNI, S.; MACIEL, A.; BOULIC, R.; THALMANN, D.
Published in In. INTERNATIONAL CONFERENCE ON SHAPE MODELING AND APPLICATIONS, 2004, Genova, Italy. Proceedings of International Conference on Shape Modeling and Applications, Los Alamitos, CA IEEE Computer Society Press, 2004. in

Multi-Finger Haptic Rendering of Deformable Objects

MACIEL, A.; SARNI, S.; BUCHWALDER O.; BOULIC, R.; THALMANN, D.
Published in In. Tenth Eurographics Symposium on Virtual Environments (In Cooperation with ACM Siggraph), 2004, Grenoble, France. Eurographics/ACM SIGGRAPH Symposium Proceedings, p.105-111, Eurographics Association, Aire-la-Ville. in

Colored Visualization of Shape Differences between Bones

Lim, I. S.; Sarni, S.; Thalmann, D.
Published in Proceedings of the 16th IEEE Symposium on Computer-Based Medical Systems (CBMS 2003), June 26--27, 2003, New York in

Planar Arrangement of High-dimensional Biomedical Data Sets by Isomap Coordinates

Lim, I. S.; Ciechomski, P. H.; Sarni, S.; Thalmann, D.
Published in Proceedings of the 16th IEEE Symposium on Computer-Based Medical Systems (CBMS 2003), June 26--27, 2003, New York in

Enseignement et PhD

Cours

Large-scale data science for real-world data

COM-490

Ce cours pratique couvre outils et méthodes des data scientists, de la recherche de solutions à la mise à l'échelle de prototypes sur clusters Spark. Les étudiants explorent le pipeline complet d'ingénierie et science des données, de l'acquisition à l'extraction d'insights appliqués à des cas réels.