I am a PhD candidate in the Department of Electrical and Computer Engineering at the University of California at San Diego. I am advised by Prof. Bhaskar Rao and co-advised by Prof. Truong Nguyen. I am a member of the DSP Lab and Video Processing Lab.

I received the B.S. and M.S. degrees in Electrical Engineering in 2012 and 2014, respectively, from the University of Illinois at Urbana-Champaign, advised by Prof. Pierre Moulin.

My research interests include

- Machine learning
- Multimodal data fusion
- Dictionary learning
- Sparse recovery
- Signal processing
- Deep learning

I am lucky to be married to Katarina Fedorov.

Email: ifedorov@eng.ucsd.edu

Google Scholar profile.

LinkedIn profile.

, B.D. Rao, "Multimodal Sparse Bayesian Dictionary Learning."**I. Fedorov***arXiv preprint*, 2018. (Under review at Journal of Machine Learning Research)., B.D. Rao, T. Q. Nguyen, "Multimodal Sparse Bayesian Dictionary Learning Applied to Multimodal Data Classification."**I. Fedorov***2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)*, New Orleans, LA, 2017, pp. 2237-2241.

, B.D. Rao, "Re-weighted Learning for Sparsifying Deep Neural Networks,"**I. Fedorov***arXiv preprint*, 2018.

, A. Nalci, R. Giri, B.D. Rao, T. Q. Nguyen, H. Garudadri, "A Unified Framework for Sparse Non-Negative Least Squares using Multiplicative Updates and the Non-Negative Matrix Factorization Problem,"**I. Fedorov***Signal Processing*, Volume 146, May 2018, Pages 79-91, ISSN 0165-1648.- A. Nalci,
, Maher Al-Shoukairi, Thomas T. Liu, B.D. Rao, "Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem,"**I. Fedorov***IEEE Transactions on Signal Processing*, vol. 66, no. 12, pp. 3124-3139, June 2018.

, R. Giri, B.D. Rao, T. Q. Nguyen, "Relevance Subject Machine: A Novel Person Re-Identification Framework,"**I. Fedorov***arXiv preprint arXiv:1703.10645*, 2017., R. Giri, B.D. Rao, T.Q. Nguyen, "Robust Bayesian Method for Simultaneous Block Sparse Signal Recovery with Applications to Face Recognition."**I. Fedorov***2016 IEEE International Conference on Image Processing (ICIP)*, Phoenix, AZ, 2016, pp. 3872-3876.

, S. Obrzut, B. Song, B.D. Rao, "SPECT Image Reconstruction under Imaging Time Constraints,"**I. Fedorov***2017 51st Asilomar Conference on Signals, Systems, and Computers*, Pacific Grove, CA, USA, 2017, pp. 1590-1594., B. Song, B.D. Rao, I. Levitan, S. Obrzut, "Total Variation Regularization in I-123 Ioflupane SPECT Reconstruction,"**I. Fedorov***Journal of Nuclear Medicine*, 2017.

, R. Giri, C. Lee, A. Nalci, N. Radmanesh, S. Gadiyaram, B.D. Rao, T.Q. Nguyen, H. Garudadri, "Hearing Protection and Communication In the Presence of Extreme Industrial Noise."**I. Fedorov***Technical Report, 2015.*, "Kinect depth video compression for action recognition."**I. Fedorov***Master's Thesis*, 2014.- A. Khosrowpour,
, A. Holynski, J.C. Niebles, and M. Golparvar-Fard, "Automated Worker Activity Analysis in Indoor Environments for Direct-Work Rate Improvement from long sequences of RGB-D Images,"**I. Fedorov***Construction Research Congress 2014: Construction in a Global Network*, pp. 729-738, May 2014. - P.S. Shenoy,
, T. Neyens, P.T. Krein, "Power delivery for series connected voltage domains in digital circuits."**I. Fedorov***2011 International Conference on Energy Aware Computing*, Istanbul, pp. 1-6, 2011.

, B.D. Rao, "Multimodal Sparse Bayesian Dictionary Learning."**I. Fedorov***arXiv preprint*, 2018. (Under review at Journal of Machine Learning Research)., A. Nalci, R. Giri, B.D. Rao, T. Q. Nguyen, H. Garudadri, "A Unified Framework for Sparse Non-Negative Least Squares using Multiplicative Updates and the Non-Negative Matrix Factorization Problem,"**I. Fedorov***Signal Processing*, Volume 146, May 2018, Pages 79-91, ISSN 0165-1648.- A. Nalci,
, Maher Al-Shoukairi, Thomas T. Liu, B.D. Rao, "Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem,"**I. Fedorov***IEEE Transactions on Signal Processing*, vol. 66, no. 12, pp. 3124-3139, June 2018. , B.D. Rao, "Re-weighted Learning for Sparsifying Deep Neural Networks,"**I. Fedorov***arXiv preprint*, 2018., B.D. Rao, T. Q. Nguyen, "Multimodal Sparse Bayesian Dictionary Learning Applied to Multimodal Data Classification."**I. Fedorov***2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)*, New Orleans, LA, 2017, pp. 2237-2241., R. Giri, B.D. Rao, T. Q. Nguyen, "Relevance Subject Machine: A Novel Person Re-Identification Framework,"**I. Fedorov***arXiv preprint arXiv:1703.10645*, 2017., S. Obrzut, B. Song, B.D. Rao, "SPECT Image Reconstruction under Imaging Time Constraints,"**I. Fedorov***2017 51st Asilomar Conference on Signals, Systems, and Computers*, Pacific Grove, CA, USA, 2017, pp. 1590-1594., B. Song, B.D. Rao, I. Levitan, S. Obrzut, "Total Variation Regularization in I-123 Ioflupane SPECT Reconstruction,"**I. Fedorov***Journal of Nuclear Medicine*, 2017., R. Giri, B.D. Rao, T.Q. Nguyen, "Robust Bayesian Method for Simultaneous Block Sparse Signal Recovery with Applications to Face Recognition."**I. Fedorov***2016 IEEE International Conference on Image Processing (ICIP)*, Phoenix, AZ, 2016, pp. 3872-3876., "Kinect depth video compression for action recognition."**I. Fedorov***Master's Thesis*, 2014.- A. Khosrowpour,
, A. Holynski, J.C. Niebles, and M. Golparvar-Fard, "Automated Worker Activity Analysis in Indoor Environments for Direct-Work Rate Improvement from long sequences of RGB-D Images,"**I. Fedorov***Construction Research Congress 2014: Construction in a Global Network*, pp. 729-738, May 2014. - P.S. Shenoy,
, T. Neyens, P.T. Krein, "Power delivery for series connected voltage domains in digital circuits."**I. Fedorov***2011 International Conference on Energy Aware Computing*, Istanbul, pp. 1-6, 2011.

- IEEE International Conference on Acoustics, Speech and Signal Processing
- IEEE International Workshop on Machine Learning for Signal Processing
- Journal of Computational and Applied Mathematics

- ARCS Foundation Award, 2015-2018
- ECE Departmental Fellowship, UCSD, 2014