About “Ehsan Elhamifar”

Ehsan Elhamifar is an Associate Professor in the Khoury College of Computer Sciences and is the director of the Mathematical Data Science (MCADS) Lab at the Northeastern University. He is affiliated with the Electrical and Computer Engineering Department at Northeastern. Prof. Elhamifar is a recipient of the DARPA Young Faculty Award and the NSF CISE Career Research Initiation Initiative Award. Previously, he was a postdoctoral scholar in the Electrical Engineering and Computer Science (EECS) department at the University of California, Berkeley. Prof. Elhamifar obtained his PhD from the Electrical and Computer Engineering (ECE) department at the Johns Hopkins University. He obtained two Masters degrees, one in Electrical Engineering from Sharif University of Technology in Iran and another in Applied Mathematics and Statistics from the Johns Hopkins University.

Prof. Elhamifar’s research areas are computer vision, machine learning and optimization. He is interested in developing robust, scalable and interpretable methods to solve problems involving complex and/or massive visual data with minimum human intervention. He uses these methods to address learning procedural tasks from videos of complex activities, scalable and interpretable low-shot and multi-label recognition, adversarial attacks on fine-grained and multi-label models, and coherent and structured data summarization.