Armin Eftekhari

Research interests:

  • Signal Processing
  • Machine Learning
  • Optimization
  • Numerical Analysis


Contact Address


ELD 243 (Batiment EL)

Station 11

CH-1015, Lausanne

+41(0) 21 693 46 91

people@EPFL page



Armin Eftekhari received his PhD from Colorado School of Mines in 2015. Before joining the Laboratory for Information and Inference Systems at EPFL, he was a Research Fellow at the Alan Turing Institute in London and a Peter O’Donnell, Jr. Postdoctoral Fellow at UT Austin.

Armin works with different data models and, as the late statistician George Box once wrote, “all models are wrong, but some are useful.”

Indeed, to make sense of data, we must necessarily impose some structure upon it. For example, we often assume that digital data is collected from band-limited sources. Or, in compressive sensing, we work with sparse signals that have a concise representation in some “dictionary.” Making inferences from (often noisy, incomplete, and high-dimensional) data by imposing appropriate structures has been the main theme of Armin’s research.