Igor Fedorov

I am a Senior Research Engineer in the machine learning research group at ARM Research. I completed my PhD in Electrical Engineering in 2018 at the University of California San-Diego. I was supervised by Prof. Bhaskar Rao and co-advised by Prof. Truong Nguyen. Before UCSD, I completed my B.S. and M.S. (supervised by Prof. Pierre Moulin) in Electrical Engineering at the University of Illinois Urbana-Champaign.

I am lucky to be married to Katarina Fedorov.

cv / email / google scholar / linkedin



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Research

Multimodal Sparse Bayesian Dictionary Learning
Igor Fedorov, Bhaskar D. Rao
Under review
[paper]

Multimodal Sparse Bayesian Dictionary Learning Applied to Multimodal Data Classification
Igor Fedorov, Bhaskar D. Rao, Truong Q. Nguyen
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
[paper]

Re-weighted Learning for Sparsifying Deep Neural Networks
Igor Fedorov, Bhaskar D. Rao
arxiv preprint, 2018
[paper]

A Unified Framework for Sparse Non-Negative Least Squares using Multiplicative Updates and the Non-Negative Matrix Factorization Problem
Igor Fedorov, Alican Nalci, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen, Harinath Garudadri
Signal Processing, 2018
[paper]

Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem
Alican Nalci, Igor Fedorov, Maher Al-Shoukairi, Thomas T. Liu, Bhaskar D. Rao
IEEE Transactions on Signal Processing, 2018
[paper]

Relevance Subject Machine: A Novel Person Re-Identification Framework
Igor Fedorov, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen
arxiv preprint, 2017
[paper]

Robust Bayesian Method for Simultaneous Block Sparse Signal Recovery with Applications to Face Recognition
Igor Fedorov, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen
IEEE International Conference on Image Processing (ICIP), 2016
[paper]

Image Reconstruction under Imaging Time Constraints
Igor Fedorov, Sebastian Obrzut, Bongyong Song, Bhaskar D. Rao
51st Asilomar Conference on Signals, Systems, and Computers, 2017
[paper]

Total Variation Regularization in I-123 Ioflupane SPECT Reconstruction
Igor Fedorov, Bongyong Song, Bhaskar D. Rao, Irena Levitan, Sebastian Obrzut
Journal of Nuclear Medicine, 2017
[paper]

Kinect depth video compression for action recognition
Igor Fedorov
M.S. Thesis, 2014
[paper]

Automated Worker Activity Analysis in Indoor Environments for Direct-Work Rate Improvement from long sequences of RGB-D Images
Ardalan Khosrowpour, Igor Fedorov, Aleksander Holynski, Juan Carlos Niebles, Mani Golparvar-Fard
Construction Research Congress, 2014
[paper]

Power delivery for series connected voltage domains in digital circuits
Pradeep Shenoy, Igor Fedorov, Tyler Neyens, Philip Krein
International Conference on Energy Aware Computing, 2011
[paper]