Biography
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 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.
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