Dr. Pascal Fua

Professor

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Biography

Pascal Fua is a renowned researcher in the fields of Computer Vision, Machine Learning, and Biomedical Imaging. He received his engineering degree from École Polytechnique, Paris, in 1984, followed by a Ph.D. in Computer Science from the University of Orsay in 1989. Fua worked at SRI International and INRIA Sophia-Antipolis as a Computer Scientist before joining École Polytechnique Fédérale de Lausanne (EPFL) in 1996. His research interests encompass shape modeling, motion recovery from images, and machine learning applications. Fua has authored or co-authored approximately 400 publications in refereed journals and conferences, highlighting his contributions to the academic community. He has received grants from the European Research Council (ERC) and has been recognized as an IEEE Fellow. As an associate editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence, he actively contributes to shaping the field of pattern recognition. Furthermore, Fua serves on program committees for major vision conferences and has co-founded several spin-off companies. His commitment to advancing the field is evident in his substantial impact on both academic research and technology development.

Research Interests

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.