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
European Control Award
European Control Association
2024
Infoscience
Teaching & PhD
PhD Students
Giulio Salizzoni, Tingting Ni, Saurabh Dilip Vaishampayan, Andreas Schlaginhaufen, Kai Ren, Anna Maria Maddux, Gabriel Vallat, Philip Jordan, Yasaman Zolfimoselo, Daniele De Cecco, Gregorio Valenti
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.
Multiagent decision-making and control
ME-429
Students will be able to formulate a multi-agent decision-making problem in static and dynamic environments as a game and apply relevant mathematical theories and algorithms to analyze the interaction of the agents and predict the outcome of the decision-making problems.