Dr. Volkan Cevher

Associate Professor

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Biography

Volkan Cevher is currently an Associate Professor at the Swiss Federal Institute of Technology Lausanne, where he leads research efforts in machine learning, optimization, and reinforcement learning. He completed his B.Sc. in Electrical Engineering at Bilkent University in 1999, graduating as a valedictorian, followed by a Ph.D. in Electrical and Computer Engineering from Georgia Institute of Technology in 2005. Cevher's early career involved research positions at prestigious institutions such as the University of Maryland and Rice University, where he held a Faculty Fellow position in the Electrical and Computer Engineering Department until 2020. His influential research has garnered recognition, including the IEEE Fellow designation and several notable awards for his contributions to the field of machine learning. Cevher's work encompasses a range of topics from theoretical developments in optimization methods to practical applications in decision-making under uncertainty, showcasing his commitment to advancing the understanding of complex systems through mathematical rigor and innovative approaches.

Research Interests

Experience

Research Scientist

— Present

University of Maryland • College Park, MD

Research Scientist

— Present

Rice University • Houston, TX

Faculty Fellow

— Present

Rice University • Houston, TX

Associate Professor

— Present

Swiss Federal Institute of Technology Lausanne • Lausanne, Switzerland

Awards

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IEEE Fellow

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ELLIS Fellow

#

ICML AdvML Paper Award

#

Google Faculty Research Award

#

IEEE Signal Processing Society Paper Award

#

Paper Award CAMSAP

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Paper Award SPARS

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Marie Curie International Reintegration

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ERC-StG European Research Council

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.