Swayambhoo Jain

asdjkfjasfklasdlfj 

PhD Candidate,
Department of Electrical and Computer Engineering,
University of Minnesota, Twin Cities.
Email: jainx174@umn.edu

CV: (pdf)

Advisor: Professor Jarvis Haupt

Research interests: Statistical signal processing, machine learning, high dimensional statistical inference, and optimization, with applications in data science, signal processing, and communications.

Education

  • Ph.D. student in Electrical and Computer Engineering, Jan 2013 — Present
    University of Minnesota, Twin Cities.

  • M.S. in Electrical and Computer Engineering, Sept. 2013
    University of Minnesota, Twin Cities.

  • B. Tech. in Electronics and Communication Engineering, April 2007
    National Institute of Technology, Calicut.

Working Manuscripts

  • S. Jain, and J. Haupt, ‘‘On convolutional approximations to linear dimensionality reduction operators for large scale data processing’’. (arXiv), (code)

  • S. Jain, A. Soni, N. Laptev, and Y. Mehdad, ‘‘Rank-to-engage: New listwise approaches to maximize engagement". (arXiv)

  • U. Oswal, S. Jain, K. S. Xu, and B. Eriksson,‘‘Block CUR: Decomposing large distributed matrices". (arXiv)

Code

  • Damage Pursuit: A MATLAB package for automatic structural defect localization. (github link).

  • MATLAB code for convolutional approximation to linear dimensionality reduction operators. (github link)

Journal Publications

  • S. Jain, U. Oswal, K. S. Xu, B. Eriksson, and J. Haupt, ‘‘A compressed sensing decomposition of electro-dermal activity signals,’’ IEEE Transactions on Biomedical Engineering, November 2016. (arXiv)

  • J. Druce, S. Gonella, M. Kadkhodaie, S. Jain, and J. Haupt. ‘‘Locating material defects via wavefield demixing with morphologically germane dictionaries,’’ Structural Health Monitoring, August 2016. (link)

  • S. Jain, S.J. Kim, and G. B. Giannakis, ‘‘Backhaul-constrained multicell cooperation leveraging sparsity and spectral clustering," IEEE Transactions on Wireless Communications, vol. 15, no. 2, pp. 899-912, February 2016. (pdf)

  • A. Soni* , S. Jain*, J. Haupt, and S. Gonella, ‘‘Noisy matrix completion under sparse factor models,’’ IEEE Transactions on Information Theory, vol. 62, no. 6, pp. 3636 - 3661, March 2016. (pdf)
    *co-first authors

Conference Publications

  • S. Jain, A. Gutierrez, and J. Haupt, ‘‘Noisy tensor completion for tensors with a sparse canonical polyadic factor,’’ IEEE International Symposium on Information Theory (ISIT), June 2017. (arXiv)

  • A. Soni, T. Chevalier, S. Jain, ‘‘Noisy inductive matrix completion under sparse factor models,’’ , IEEE International Symposium on Information Theory (ISIT), June 2017. (arXiv)

  • S. Jain, and J. Haupt, ‘‘Convolutional approximations to linear dimensionality reduction operators,’’ Proc. of Intl. Conf. on Acoust., Speech, and Signal Processing, March 2017.

  • M. Kadkhodaie, S. Jain, J. Haupt, J. Druce, and S. Gonella,, ‘‘ Group-level support recovery guarantees for group lasso estimation,’’ Proc. of Intl. Conf. on Acoust., Speech, and Signal Processing, March 2017.

  • J. Druce, S. Gonella, M. Kadkhodaie, S. Jain, and J. Haupt, ‘‘Defect triangulation via demixing algorithms based on dictionaries with different morphological complexity,’’ 8th European Workshop On Structural Health Monitoring (EWSHM 2016), March 2016.

  • M. Kadkhodaie, S. Jain, J. Haupt, J. Druce, and S. Gonella,‘‘Locating rare and weak material anomalies by convex demixing of propagating wavefields,’’ IEEE Workshop on Computational Advances in Multi-Sensor Adaptive Processing, December 2015.

  • A. Soni, S. Jain, J. Haupt, and S. Gonella, ‘‘Error bounds for maximum likelihood matrix completion under sparse factor models," IEEE GlobalSIP 2014: Information Processing for Big Data, December 2014.

  • S. Jain, A. Soni, and J. Haupt, ‘‘Compressive measurement designs for estimating structured signals in structured clutter: A Bayesian experimental design approach," Proc. Asilomar Conference on Signals, Systems, and Computers, November 2013.

  • S. Jain, A. Soni, J. Haupt, N. Rao, and R. Nowak, ‘‘Knowledge-enhanced compressive measurement designs for estimating sparse signals in clutter," Signal Processing with Adaptive Structured Sparse Representations, July 2013.

  • S. J. Kim, S. Jain, and G. B. Giannakis, ‘‘Backhual constrained multi-cell cooperation using compressive sensing and spectral clustering," Proc. of 13th Workshop on Signal Processing Advances in Wireless Communications, June 17-20, 2012.

Patents

  • S. Jain, U. Oswal, B. Eriksson, and Kevin S. Xu., ‘‘A fast algorithm for determining fine-grain responses in GSR signals,’’ application number PU150068-WO-PCT, (Filed, March 2016).

  • S. Jain, U. Oswal, B. Eriksson, and Kevin S. Xu., ‘‘A fast group-wise technique for decomposing GSR signals across group of individuals,’’ application number PU150068-WO-PCT, (Filed, March 2016).

  • U. Oswal, S. Jain, B. Eriksson, and Kevin S. Xu., ‘‘An automated biometric approach for determining the most relevant scenes in content,’’ application number PU150091-WO-PCT, (Filed, December 2015).

  • U. Oswal, S. Jain, B. Eriksson, and Kevin S. Xu., ‘‘A sampling framework for inferring missing wearable biometric data,’’ application number PU150092-WO-PCT, (Filed, December 2015).

  • A. Ashkan, S. Jain, M. Joye, A. Tran, A. Pushparaja, J. Chandrashekar, S. Zhi, and J. Qian, ‘‘Method and apparatus for inhibiting the interruption of content being consumed by a user,’’ application number PU150113-WO-PCT, (Filed, December 2015).

  • S. Jain, A. Ashkan, M. Joye, A. Tran, A. Pushparaja, J. Chandrashekar, S. Zhi, and J. Qian, ‘‘Method and apparatus for video content recommendation for night-time viewing,’’ application number 14/925168, (Filed, October 2015).

  • A. Ashkan, S. Jain, M. Joye, A. Tran, A. Pushparaja, J. Chandrashekar, S. Zhi, and J. Qian, ‘‘Apparatus and method for integration of environmental event information for multimedia,’’ application number 15/061104, (Filed, November 2015).

  • A. Ashkan, S. Jain, M. Joye, A. Tran, A. Pushparaja, J. Chandrashekar, S. Zhi, and J. Qian, ‘‘Detecting inactivity levels associated with multimedia content,’’ application number 15/063093, (Filed, November 2015).

Contact

441 Walter Library, 117 Pleasant St. SE
Minneapolis, MN, 55455
University of Minnesota
Email: jainx174@umn.edu