Maryam Kamgarpour
EPFL STI IGM SYCAMORE
ME C1 400 (Bâtiment ME)
Station 9
1015 Lausanne
+41 21 693 57 30
Office:
ME C1 400
EPFL › STI › IGM › SYCAMORE
Website: https://www.epfl.ch/labs/sycamore
+41 21 693 57 30
EPFL › STI › STI-SGM › SGM-ENS
Awards
ERC Consolidator Grant
European Research Council
2026
European Control Award
European Control Association
2024
ERC Starting Grant
European Research Council
2016
Infoscience
Teaching & PhD
PhD Students
Daniele De Cecco, Philip Jordan, Tingting Ni, Kai Ren, Giulio Salizzoni, Andreas Schlaginhaufen, Saurabh Dilip Vaishampayan, Gregorio Valenti, Gabriel Vallat, Yasaman Zolfimoselo
Past EPFL PhD Students
Past EPFL PhD Students as codirector
Courses
Foundations of artificial intelligence
ME-390
This course provides the students with 1) a set of theoretical concepts to understand the machine learning approach; and 2) a subset of the tools to use this approach for problems arising in mechanical engineering applications.