Ehsan Elhamifar is an Assistant 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 develops robust, scalable and provable algorithms that address challenges of complex and massive high-dimensional data. He uses these techniques to address procedure learning from instructional data, fine-grained and multi-label recognition, zero and few-shot learning and big data summarization. Prof. Elhamifar was the Editor of ICPR20, Area Chair of IJCAI21,20, WACV20, AAAI18. He has given more than 30 invited talks and organized and instructed 6 tutorials and workshops in CVPR conferences. His work has received more than 5,000 citations from other researchers according to the google scholar.