Vahid Tarokh (Persian: وحید تارخ; born c. 1967)[1] is an Iranian–American electrical engineer, mathematician, computer scientist, and professor.
Tarokh works with complex datasets and uses machine learning algorithms to predict catastrophic events.
[3] At the University of Waterloo, he studied under Ian Fraser Blake, who also served as his Ph.D. advisor; his dissertation was titled Trellis Complexity of Lattices (1995).
[1] He worked at Harvard University as a Hammond Vinton Hayes Senior Fellow of Electrical Engineering, and as a Perkins Professor of Applied Mathematics from 2002 until 2017.
His current research interests are in representation, computer modeling, inference, and prediction from data.