Ehsan Elhamifar

EECS Department
University of California, Berkeley

Email:
ehsan [at] eecs [dot] berkeley [dot] edu

Address:
University of California, Berkeley
TRUST Center
Room 337 Cory Hall
Engineering Department
Berkeley, Ca 94720-1774

Phone:
510-643-5105

Ehsan Elhamifar

Postdoctoral Fellow
Electrical Engineering and Computer Science Department
University of California, Berkeley

About me

I am a postdoctoral fellow in the Electrical Engineering and Computer Science (EECS) department at the University of California, Berkeley, working under the guidance of Dr. Shankar Sastry. I obtained my PhD in Fall 2012 from the Electrical and Computer Engineering (ECE) department at Johns Hopkins University, under the guidance of Dr. Rene Vidal.

Education

Ph.D., Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD
M.S.E., Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD
M.S., Electrical Engineering, Sharif University of Technology, Tehran, Iran
B.S., Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran

Research

Machine Learning: High-Dimensional Multi-Manifold Data, Clustering, Classification, Dimensionality Reduction
Signal/Image Processing: Sparse Representation and Compressed Sensing, Energy Disaggregation, Distributed Optimization Algorithms
Computer Vision: Motion Segmentation, Camera Networks, Multiple View Geometry

Codes
Sparse Subspace Clustering Page

Recent Publications

Dissimilarity-based Sparse Subset Selection [ Code Available ]
E. Elhamifar, G. Sapiro, and S. Sastry, under review in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014.
Adaptive Piecewise-Affine Inverse Modeling of Hybrid Dynamical Systems
E. Elhamifar, S. Burden, and S. Sastry, World Congress of the International Federation of Automatic Control (IFAC), 2014.
Robust Subspace Clustering
M. Soltanolkotabi, E. Elhamifar, and E. J. Cand�s, Annals of Statistics, 2014.
A Convex Optimization Framework for Active Learning
E. Elhamifar, G. Sapiro, A. Yang , and S. Sastry, International Conference on Computer Vision (ICCV), 2013.
Sparse Subspace Clustering: Algorithm, Theory, and Applications [ Code Available ]
E. Elhamifar, R. Vidal, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2013.

Complete List of Publications

Invited Talks

"Sparse Modeling for High-Dimensional Multi-Manifold Data Analysis," Stanford, UCLA, USC, JHU, UWashington, 2014.

"Learning All by Selecting A Few," Sparse Modeling Mini-Symposium at SIAM Annual Meeting, 2012.

"Learning All by Selecting A Few," EECS Department, University of California at Berkeley, 2012.

"Sparsity in Unions of Subspaces for Classification and Clustering of High-Dimensional Data," Allerton Conference on Communication, Control, and Computing, 2011.

Awards and Honors

Ranked 2nd among graduate students in Electrical Engineering, Control Division, Sharif University of Technology, Iran.

Ranked 33rd in the nation-wide university entrance examination on Electrical Engineering among 11,500 university students.

Ranked 1st among undergraduate students in Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran.

Honored for dual-degree studies in Biomedical and Electrical Engineering, Amirkabir University of Technology, Tehran, Iran.

Ranked 1st among 138 graduates from Malek Ashtar High School, Mashhad, Iran.

Honored as one of "The Best Hundred Young Mathematicians in Iran" in National Mathematics Olympiad, Iran.

Honored as one of "The Best Hundred Young Computer Scientists in Iran" in National Computer Science Olympiad, Iran.