Armin is currently an Assistant professor at Department of Mathematics and Mathematical Statistics at Umeå University. Armin Eftekhari received his PhD from Colorado School of Mines in 2015. Before joining the Laboratory for Information and Inference Systems at EPFL as a postdoctoral researcher, 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.
Publications with LIONS (most recent)
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Computing Second-Order Points Under Equality Constraints: Revisiting Fletcher’s Augmented Lagrangian
2020.International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 4-8, 2020. p. 8584-8588. DOI : 10.1109/ICASSP40776.2020.9053345.
