Dr. Aude Billard

Professor

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Biography

Aude Billard is a Full Professor at EPFL, specializing in Robotics, Machine Learning, and Artificial Intelligence. She leads the Learning Algorithms and Systems Laboratory (LASA), where her research focuses on Human-Robot Interaction, Mechatronics, and Dynamical Systems Control. Prof. Billard has a strong academic background, having completed her PhD at the University of Edinburgh. She has been actively involved in various prestigious conferences, serving as a plenary speaker and receiving multiple awards for her contributions to the field. Her expertise spans Computational Neuroscience and Robotics, making her a pivotal figure in the advancement of innovative technologies in these domains. Over the years, she has been recognized as an IEEE Fellow and has received the ERC Advanced Grant and various other honors for her outstanding work in engineering and science. Outside of research, she is dedicated to teaching and mentoring students in robotic systems and artificial intelligence applications.

Research Interests

Experience

Full Professor

— Present

EPFL • Lausanne

Leading the Learning Algorithms and Systems Laboratory (LASA) and conducting research in advanced robotics.

Associate Professor

— Present

EPFL • Lausanne

Focused on human-robot interaction and robotic learning systems.

Assistant Professor

— Present

EPFL • Lausanne

Engaged in teaching and research in robotics.

Researcher

— Present

University of Southern California •

Worked on robotics and autonomous systems.

Awards

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WiRES Recipient

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IEEE RAS Distinguished Service Award

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IEEE Fellow

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ERC Advanced Grant

Requirements for École Polytechnique Fédérale de Lausanne

Master Program
Requirements
GPA Requirement
Required:3.2
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Bachelor's degree in a related field Strong foundation in Calculus, Linear Algebra, and Probability Proficiency in programming (Python, Java, or C++)
Application Checklist
  • Curriculum Vitae
  • Copy of University Degree(s)
  • Official Transcripts
  • Statement of Purpose
  • Copy of Passport or Identity Card
  • Three Letters of Recommendation
  • Proof of English Proficiency
Specialization Notes

Standard requirements for Engineering and Basic Science Master's programs. Architecture requires an additional portfolio.