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Ehsan Elhamifar

Ehsan Elhamifar, PhD

Associate Professor
Khoury College of Computer Sciences
Electrical and Computer Engineering, College of Engineering (Affiliated)
Northeastern University

Email: eelhami [at] ccs [dot] neu [dot] edu
Office: 310E West Village Hall (WVH)

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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.


  • New paper on zero-shot adversarial attacks on fine-grained recognition models is accepted to ECCV 2022.

  • Dr. Elhamifar's team has received a $3M Award from DARPA to develop intelligent AI-AR task assistants. Read more here.

  • Two papers on Weakly-Supervised Action Segmentation and Zero-Shot Human-Object Interaction Recognition are accepted to ICCV 2021.

  • Two papers on Unsupervised Action Segmentation in Instructional Data (Oral Presentation) and Human Trajectory Prediction are accepted to CVPR 2021.

  • Congratulations to my PhD student Dat Huynh for receiving the J.P. Morgan PhD Fellowship Award.

  • Prospective PhD Students: I am always looking for strong PhD students who are excited about doing research in machine learning, computer vision and optimization. If you are interested in joining my Lab, please send me an email with the subject “PhD Application to Northeastern” and attach your CV.