Aniruddha

Aniruddha Adiga

PhD

Biography

Aniruddha Adiga is a Research Assistant Professor at the Biocomplexity Institute at the University of Virginia. His research spans signal processing and machine learning, with a current emphasis on time-series analysis and forecasting. He co-leads the forecasting efforts at the Biocomplexity Institute. His work addresses a broad range of applications, including epidemiology, finance, agriculture, and neuroscience.

Aniruddha Adiga received his Ph.D. in Electrical Engineering from the Indian Institute of Science in 2018, where his research focused on sparse signal representation and blind deconvolution algorithms. Prior to his current role, he served as a Research Scientist and Postdoctoral Associate at the Biocomplexity Institute, and as a Postdoctoral Fellow at North Carolina State University.

Publications

2020

  1. Epoch Estimation from a Speech Signal Using Gammatone Wavelets in a Scattering Network
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020

2018

  1. Wavelet-based reconstruction for unlimited sampling
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018

2017

  1. Bayesian deep deconvolutional neural networks
    A. BhowmikA. AdigaC. Seelamantula, F. Hauser, J. Jacak, and B. Heise
    In Proc. 2nd Neural Inf. Process. Syst. Workshop Bayesian Deep Learn, 2017
  2. A Non-Convex Optimization Technique for Sparse Blind Deconvolution–Initialization Aspects and Error Reduction Properties
    arXiv preprint arXiv:1708.07370, 2017
  3. AN ALTERNATING MINIMIZATION STRATEGY FOR SPARSE BLIND DECONVOLUTION- CONVERGENCE ANALYSIS AND CONCENTRATION INEQUALITIES
    arXiv preprint arXiv:1708.07370, 2017

2014

  1. Signal Process. 14
    Auditory-motivated Gammatone wavelet transform
    Signal Processing, 2014
  2. DSP 14
    An alternating \(\ell_p\)-\(\ell_2\)projections algorithm (ALPA) for speech modeling using sparsity constraints
    In 19th International Conference on Digital Signal Processing (DSP), 2014
  3. ICIP 14
    Controlled blurring for improving image reconstruction quality in flutter-shutter acquisition
    S. Srinivas, A. Adiga, and C. S. Seelamantula
    In IEEE International Conference on Image Processing (ICIP), 2014

2013

  1. TENCON 13
    Gammatone wavelet cepstral coefficients for robust speech recognition
    A. Adiga, M. Magimai, and C. S. Seelamantula
    In IEEE international conference of IEEE region 10 (TENCON), 2013