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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 currently a postdoctoral fellow in the Electrical Engineering and Computer Science (EECS) department at the University of California, Berkeley, working with Shankar Sastry. I obtained my PhD from the Electrical and Computer Engineering (ECE) department at the Johns Hopkins University. Starting Spring 2016, I will be an Assistant Professor in the College of Computer and Information Science at the Northeastern University.

  • News: I am looking for motivated PhD students with interests in machine learning, computer vision and optimization to start in Fall 2016. If you are interested in joining my group, please send me an email with the subject "PhD Applications to NEU" and attach your CV.

  • News: I organized the tutorial on "Sparse and Low-Rank Modeling for High-Dimensional Data Analysis" in CVPR 2015 in Boston, MA.

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

    My research addresses challenges related to analysis of large amounts of high-dimensional data with nuisances. I develop robust, provably correct and efficient methods to uncover low-dimensional structures in data and use them to solve a variety of real-world problems in computer vision, robotics, energy systems and more. The areas in which I work are:

  • Machine Learning and Data Analysis: Multi-Manifold Data Analysis, Clustering, Classification, Dimensionality Reduction, Learning Dynamical Systems, Active Learning

  • Optimization and Information Processing: Sparse and Low-Rank Recovery, Compressive Sensing, Energy Disaggregation, Distributed Optimization

  • Computer Vision and Robotics: Motion/Video Segmentation, Face/Activity Recognition, Calibration and 3D Reconstruction in Camera Networks, Multiple View Geometry, Adaptive Inverse Modeling

  • The following pages contain more information about my active research areas:

  • Sparse Subspace Clustering
  • Subset Selection and Dataset Summarization
  • Energy Disaggregation by Learning 'Powerlets'
  • Provable Decision Making for Human-in-the-Loop Systems

Recent Publications

Complete List of Publications


Teaching


Invited Talks

  • "Sparse Modeling for High-Dimensional Multi-Manifold Data Analysis," CMU, UIUC, USC, Northeastern, Penn State, Ohio State, Boston University, NYU, UC Berkeley, 2015.
  • "Provable Learning Algorithms via Sparse Modeling," Google, Mountain View, 2014.
  • "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.

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