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Ehsan Elhamifar

Ehsan Elhamifar, PhD

Assistant Professor
College of Computer and Information Science
Electrical and Computer Engineering, College of Engineering (Affiliated)
Northeastern University

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

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Biography

Ehsan Elhamifar is an Assistant Professor in the College of Computer and Information Science (CCIS) and is the director of the Mathematical, Computational and Applied 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 machine learning, computer vision and optimization. He is interested in developing scalable, robust and provable algorithms that can address challenges of complex and massive high-dimensional data. He works on applications of these tools in computer vision and robotics among others. Specifically, he uses tools from convex, nonconvex and submodular optimization, sparse and low-rank modeling, deep learning, high-dimensional statistics and graph theory to develop algorithms and theory and applies them to solve real-world challenging problems, including Big Data summarization, procedure learning from instructional data, large-scale recognition with small labeled data and active learning for visual data.



News

  • New paper on “High-Rank Matrix Completion with Side Information” accepted to AAAI 2018.

  • New paper on “Subset Selection and Summarization in Sequential Data” accepted to NIPS 2017.

  • Dr. Elhamifar served as a Senior Program Committee of AAAI 2018.

  • Dr. Elhamifar received the CISE Career Research Initiation Initiative Award from the National Science Foundation (NSF).

  • New paper on “Online Summarization via Submodular and Convex Optimization” accepted to CVPR 2017.

  • New paper on “High-Rank Matrix Completion and Clustering under Self-Expressive Models” accepted to NIPS 2016.



  • Prospective 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.