Aniruddha

Aniruddha Adiga

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. ICASSP 20
    Epoch Estimation from a Speech Signal Using Gammatone Wavelets in a Scattering Network
    P. Kulkarni , , , and 
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2020
    Cite Download .bib
    @inproceedings{kulkarni2020epoch, author = {Kulkarni, P. and Sadasivan, J. and Adiga, A. and Seelamantula, C. S.}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title = {Epoch Estimation from a Speech Signal Using Gammatone Wavelets in a Scattering Network}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:FPJr55Dyh1AC}, year = {2020} }

2018

  1. ICASSP 18
    Wavelet-based reconstruction for unlimited sampling
    ,  , , and 
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2018
    Cite Download .bib
    @inproceedings{rudresh2018wavelet, author = {Rudresh, S. and Adiga, A. and Shenoy, B. A. and Seelamantula, C. S.}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title = {Wavelet-based reconstruction for unlimited sampling}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ML0RJ9NH7IQC}, year = {2018} }

2017

  1. NeurIPS-W 17
    Bayesian deep deconvolutional neural networks
    , , , F. Hauser , J. Jacak , and B. Heise
    In Proc. 2nd Neural Inf. Process. Syst. Workshop Bayesian Deep Learn, Apr 2017
    Cite Download .bib
    @inproceedings{bhowmik2017bayesian, author = {Bhowmik, A. and Adiga, A. and Seelamantula, C. and Hauser, F. and Jacak, J. and Heise, B.}, booktitle = {Proc. 2nd Neural Inf. Process. Syst. Workshop Bayesian Deep Learn}, title = {Bayesian deep deconvolutional neural networks}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ipzZ9siozwsC}, year = {2017} }
  2. arXiv 17
    A Non-Convex Optimization Technique for Sparse Blind Deconvolution–Initialization Aspects and Error Reduction Properties
    , and 
    arXiv preprint arXiv:1708.07370, Apr 2017
    Cite Download .bib
    @article{adiga2017non, author = {Adiga, A. and Seelamantula, C. S.}, journal = {arXiv preprint arXiv:1708.07370}, title = {A Non-Convex Optimization Technique for Sparse Blind Deconvolution--Initialization Aspects and Error Reduction Properties}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:b1wdh0AR-JQC}, year = {2017} }
  3. arXiv 17
    AN ALTERNATING MINIMIZATION STRATEGY FOR SPARSE BLIND DECONVOLUTION- CONVERGENCE ANALYSIS AND CONCENTRATION INEQUALITIES
    , and 
    arXiv preprint arXiv:1708.07370, Apr 2017
    Cite Download .bib
    @article{adiga2017alternating, author = {Adiga, A. and Seelamantula, C. S.}, journal = {arXiv preprint arXiv:1708.07370}, title = {AN ALTERNATING MINIMIZATION STRATEGY FOR SPARSE BLIND DECONVOLUTION- CONVERGENCE ANALYSIS AND CONCENTRATION INEQUALITIES}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:XD-gHx7UXLsC}, year = {2017} }

2014

  1. Signal Process. 14
    Auditory-motivated Gammatone wavelet transform
    , , and 
    Signal Processing, Apr 2014
    Cite Download .bib
    @article{venkitaraman2014auditory, author = {Venkitaraman, A. and Adiga, A. and Seelamantula, C. S.}, journal = {Signal Processing}, pages = {608--619}, title = {Auditory-motivated Gammatone wavelet transform}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:JV2RwH3_ST0C}, volume = {94}, year = {2014} }
  2. DSP 14
    An alternating \(\ell_p\)-\(\ell_2\)projections algorithm (ALPA) for speech modeling using sparsity constraints
    , and 
    In 19th International Conference on Digital Signal Processing (DSP), Apr 2014
    Cite Download .bib
    @inproceedings{adiga2014alternating, author = {Adiga, A. and Seelamantula, C. S.}, booktitle = {19th International Conference on Digital Signal Processing (DSP)}, pages = {291--296}, title = {An alternating {\(\ell_p\)}-{\(\ell_2\)}projections algorithm (ALPA) for speech modeling using sparsity constraints}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:rO6llkc54NcC}, year = {2014} }
  3. ICIP 14
    Controlled blurring for improving image reconstruction quality in flutter-shutter acquisition
    S. Srinivas , , and 
    In IEEE International Conference on Image Processing (ICIP), Apr 2014
    Cite Download .bib
    @inproceedings{srinivas2014controlled, author = {Srinivas, S. and Adiga, A. and Seelamantula, C. S.}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, pages = {5826--5830}, title = {Controlled blurring for improving image reconstruction quality in flutter-shutter acquisition}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:_xSYboBqXhAC}, year = {2014} }

2013

  1. TENCON 13
    Gammatone wavelet cepstral coefficients for robust speech recognition
    , M. Magimai , and 
    In IEEE international conference of IEEE region 10 (TENCON), Apr 2013
    Cite Download .bib
    @inproceedings{adiga2013gammatone, author = {Adiga, A. and Magimai, M. and Seelamantula, C. S.}, booktitle = {IEEE international conference of IEEE region 10 (TENCON)}, pages = {1--4}, title = {Gammatone wavelet cepstral coefficients for robust speech recognition}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:hMod-77fHWUC}, year = {2013} }