Ph.D. student, Electrical Engineering and Computer Sciences, UC Berkeley.
University of California, Berkeley 465 Soda Hall (AMPlab) Berkeley, CA 94720-1720 Email me at elalaoui at eecs dot berkeley dot edu
My research interests lie somewhere between mathematical statistics and optimization. I am generally interested in the design and analysis of algorithms that attempt to extract information from limited and corrupted data, and studying the various tradeoffs that may appear in the analysis of such algorithmic procedures, e.g. statistical accuracy vs. computational budget.
While advised by Alex Bayen (2013-2014):
Tim Hunter, Ahmed El Alaoui, Alex Bayen: Computing the log-determinant of symmetric, diagonally dominant matrices in near-linear time. (Arxiv preprint)
Submitted to SIAM Journal on Computing (SICOMP)
Cathy Wu, Ahmed El Alaoui, Cathal Coffey, Alexei Pozdnoukhov, Alex Bayen: Tractable flow inference using convex optimization with loop and cellular data.
Submitted to the International Symposium on Transportation and Traffic Theory (ISTTT15)
I am a first year Ph.D. student in Electrical Engineering and Computer Science at the University of California at Berkeley. I did my master's at Ecole Normale Supérieure and my undergrad at Ecole Polytechnique. I wrote my master's dissertation on probabilistic record linkage while working at Ecole des Ponts with Guillaume Obozinski.
M.Sc. Mathématiques, Vision et Apprentissage, Ecole Normale Supérieure/Ecole des Ponts Paristech, 2013.
Eng.Deg. Applied math, Ecole Polytechnique, 2012.