Ehsan Elhamifar

Vision Lab
ECE Department
Johns Hopkins University

Email:
ehsan [at] cis [dot] jhu [dot] edu

Address:
Center for Imaging Sciences
Johns Hopkins University
319B Clark Hall
3400 N. Charles Street
Baltimore, MD 21218

Phone:
410-516-6461

Ehsan Elhamifar

PhD Candidate
Advisor: Dr. Rene Vidal

About me

I am a Ph.D. Candidate in the department of Electrical and Computer Engineering at the Johns Hopkins University. I am a research assistant in the Vision, Dynamics, and Learning Lab, Center for Imaging Science, working under the guidance of Prof. Rene Vidal. I am also working with Prof. Yi Ma in the department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign.

Education

Ph.D. Candidate, Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD
Advisor: Professor Rene Vidal
M.S.E, Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD (Expected in 2010)
M.Sc., Electrical Engineering, Sharif University of Technology, Tehran, Iran
B.Sc., Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran

Research

Computer vision: Sparse Representation in Computer Vision, Camera Sensor Networks, Motion Segmentation, Multiple View Geometry
Machine Learning: Subspace Clustering, Manifold Learning, Sparsity-based Algorithms
Controls: Observability and Identification of Hybrid Systems, Robust Consensus Algorithms, Control of Multi-Agent Systems

Recent Publications

Automatic Calibration of Cameras with Special Motions
E. Elhamifar, R. Vidal, Technical Report, 2009.

Distributed Calibration of Camera Sensor Networks
E. Elhamifar, R. Vidal, ACM/IEEE International Conference on Distributed Smart Cameras, 2009.

Sparse Subspace Clustering
E. Elhamifar, R. Vidal, IEEE Conference on Computer Vision and Pattern Recognition, 2009.

Rank Tests for the Observability of Discrete-time JLSs with Inputs
E. Elhamifar, R. Vidal, American Control Conference, 2009.

Courses

Fall 2009: Statistical Theory, Riemannian Geometry

Spring 2009: Advanced Topics in Computer Vision, Machine Learning

Fall 2008: Probability Theory I, Network Models in Operations Research

Spring 2008: Graph Theory, Computer Vision

Fall 2007: Differential Geometry, Matrix Analysis and Linear Algebra, Feedback Control in Biological Signaling Pathways

Spring 2007: Linear Dynamical Systems, Optimization Algorithms, Wavelets and Filter Banks

Fall 2006: Ranom Signal Analysis, Analysis I, Image Processing and Analysis I

Before Fall 2006 (includes but not all): Optimal Control, Adaptive Control, Robotics, Discrete-Time Dynamical Systems, Stochastic Process, Neural Networks, Fuzzy Systems

Honors

Recipient of full tuition fellowship and assistantship from the Electrical and Computer Engineering Department, The Johns Hopkins University.

Awarded as the 2nd best graduate student in Electrical Engineering, Control Branch, Sharif University of Technology, Tehran, Iran.

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

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

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