Dr. Pascal Frossard

Professor

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Biography

Pascal Frossard is a professor at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Engineering. He specializes in machine learning, with a focus on advanced topics related to artificial intelligence, optimization, and data science. He is involved in various projects within the fields of signal processing and network machine learning, and his research has been recognized through several awards including the Swiss National Science Foundation Professorship and the IBM Faculty Award. Frossard has experience supervising PhD candidates and has served as a co-director for multiple doctoral students. His contributions to the academic community extend both through teaching and research, as he actively engages in developing new methodologies and frameworks that advance understanding in machine learning and its applications. Frossard's approach integrates theoretical insights with empirical investigations, promoting a sound understanding of scientific arguments in his work. He is committed to nurturing the next generation of scientists through mentorship in advanced seminars and the practical applications of engineering principles.

Research Interests

Awards

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SNSF Professorship

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IBM Faculty Award

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Exploratory Stream Analytics Innovation Award

Courses

EECS Seminar: Advanced Topics Machine Learning Network Machine Learning Signal Processing

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.