Aude Billard

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Full Professor

aude.billard@epfl.ch +41 21 693 54 64 http://lasa.epfl.ch/

Citizenship: swiss

EPFL STI IMT LASA
ME A3 393 (Bâtiment ME)
Station 9
1015 Lausanne

+41 21 693 54 64
+41 21 693 09 39
Office:  ME A3 393
EPFL > STI > IEM > LASA

Web site:  Web site:  https://lasa.epfl.ch/

+41 21 693 54 64
Office:  ME A3 393
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+41 21 693 54 64
Office:  ME A3 393
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+41 21 693 54 64
Office:  ME A3 393
EPFL > STI > STI-SGM > SGM-ENS

+41 21 693 54 64
Office:  ME A3 393
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Fields of expertise

Robotics 
Machine Learning 
Artificial Intelligence
Human-Robot Interaction
Mechatronics 
Dynamical Systems Control
Computational Neuroscience

Professional course

Full Professor

EPFL

2013

Associated Professor with Tenure

EPFL

2006-2012

Assistant Professor

EPFL

2002-2006

Assistant Professor

University of Southern California

2000-2002


Education

PhD

Artificial Intelligence

University of Edinburgh

1998

MSc

Knowledge-Based Systems

University of Edinburgh

1996

BSc & MSc

Physics

EPFL

1995


Awards

2023 : WiRES Recipient

2022 : IEEE RAS Distinguished Service Award : IEEE (Institute of Electrical and Electronics Engineers)

2020 : IEEE Fellow : IEEE (Institute of Electrical and Electronics Engineers)

2017 : ERC Advanced Grant : European Research Council

2015 : Excellent Women Academics : AcademiaNet

2013 : Elected Member : Swiss Academy of Engineering Sciences (SATW)

2003 : Best reviewer award : IEEE Robotics and Automation Society

2003 : Swiss National Science Foundation Career Award : Swiss National Science Foundation

2001 : The Outstanding Young Person in Science and Innovation : Swiss Junior Chamber of Commerce

1996 : Innovative Teaching Grant : Intel Corporation

Teaching & PhD

Teaching

Microengineering

Mechanical Engineering

PhD Students

Etesami Erfan, Gupta Sthithpragya, Hu Luyin, Liu Yang, Peng Baiyu, Zhang Hanli,

Past EPFL PhD Students

Amanhoud Walid , Batzianoulis Iason , Bombile Michael Bosongo , Calinon Sylvain , De Chambrier Guillaume Pierre Luc , De Souza Ravin Luis , Ferreira Duarte Nuno Ricardo , Fichera Bernardo , Figueroa Fernandez Nadia Barbara , Gonon David Julian , Gribovskaya Elena , Günter Florent , Hernandez Sanchez Jacob , Hersch Micha , Huber Lukas , Iwane Fumiaki , Khadivar Farshad , Khansari Zadeh Seyed Mohammad , Khoramshahi Mahdi , Khurana Harshit , Kim Seungsu , Koptev Mikhail , Kronander Klas Jonas Alfred , Li Miao , Lukic Luka , Mirrazavi Salehian Seyed Sina , Noris Basilio , Petreska von Ritter-Zahony Biljana , Sauser Eric , Shukla Ashwini , Sommer Nicolas , Ureche Ana-Lucia , Yao Kunpeng , Yin Hang ,

Courses

Machine learning programming

This programming class complements courses on machine learning given in the school. It offers students the possibility to  understand some machine learning algorithms in depth by programming them and testing them rigorously. Students will be offered a choice of methods to program. Programming can be done in matlab or C/C . Proper evaluation of machine learning will be stressed out. Students wi

Robotics practicals

The practicals can include the following topics:
  • Teaching Robots to Accomplish a Manipulation Task
  • Experimenting with haptic interfaces
  • Controlling a serial robot ABB IRB 120
  • Control of the Micro Delta Direct Drive robot
  • LiniX, linear axis, assembly and control

Machine learning I