Sensing with Optimal Matrices - Hema Kumari Achanta; Soura Dasgupta; Weiyu Xu (CoRR, 2012)

Matrix design for optimal sensing. - Hema Kumari Achanta; Weiyu Xu; Soura Dasgupta (ICASSP, 2013)

A distributed control law for optimum sensor placement for source localization. - Hema Kumari Achanta; Soura Dasgupta; Weiyu Xu; Raghuraman Mudumbai; Er-Wei Bai (ICACCI, 2014)

Coprime conditions for Fourier sampling for sparse recovery. - Hema Kumari Achanta; Sampurna Biswas; Soura Dasgupta; Mathews Jacob; Bhanumati N. Dasgupta; Raghuraman Mudumbai (SAM, 2014)

Recovery of Low Rank and Jointly Sparse Matrices with Two Sampling Matrices. - Sampurna Biswas; Hema Kumari Achanta; Mathews Jacob; Soura Dasgupta; Raghuraman Mudumbai (IEEE Signal Process. Lett., 2015)

A transfer learning approach for integrating biological data across platforms. - Hema Kumari Achanta; Burook Misganaw; M. Vidyasagar (ACC, 2016)

Modeling of Ionospheric Time Delay Using Anisotropic IDW With Jackknife Technique. - V. Satya Srinivas; A. D. Sarma; Hema Kumari Achanta (IEEE Trans. Geosci. Remote. Sens., 2016)

A multi-view ℓ1-norm SVM algorithm for data integration in biological applications. - Hema Kumari Achanta; Burook Misganaw; Mathukumalli Vidyasagar (ACC, 2017)

Integrating biological data across multiple platforms using importance-weighted transfer learning and applications to breast cancer data sets. - Hema Kumari Achanta; Burook Misganaw; M. Vidyasagar (CCTA, 2017)

The spark of Fourier matrices: Connections to vanishing sums and coprimeness. - Hema Kumari Achanta; Sampurna Biswas; Bhanumati N. Dasgupta; Soura Dasgupta; Mathews Jacob; Raghuraman Mudumbai (Digit. Signal Process., 2017)