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Engineering | SENSIP

Patents

  • Split-Band Speech Compression Based On Loudness Estimation, (with Visar Berisha), ASU, Tempe, Ariz. (US), US 8,392,198, Issued 2012.
  • Method and system for determining an auditory pattern of an audio segment,” (with Krishnamoorthi V. Berisha), US 9,055,374, Issued June 2015.
  • Maximum Likelihood Localization in the Presence of Channel Uncertainties, (with X. Zhang, M. Banavar, C. Tepedelenlioglu), US Patent No. 9,507,011, Patent Issued Nov. 29, 2016.
  • Energy-Efficient Distributed Estimation using Nonlinear Amplifiers, ( Santucci, M. Banavar, C. Tepedeleioglu, A. Spanias) Patent Issued Oct. 4, 2016, US 9,461,676.
  • Kernel Sparse Models for automated tumor segmentation, (with J. Jayaraman, K. Ramamurthy, D. Frakes) Patent Issued July 18, 2017, US 9,710,916.
  • An algorithm to estimate glomerular number from kidney magnetic resonance images, (with J. Jayaraman, K. Ramamurthy, D. Frakes,) US 9,779,497, Oct. 2017.
  • Recovering Degraded Images using Ensemble Sparse Models, [Filed with Arizona Technology Enterprises], (with Jayaraman, K. Ramamurthy and P. Sattigeri), US 9,875,428, January 2018.
  • Fast Computation of Excitation Pattern, Auditory Pattern and Loudness, A. Spanias, G. Kalyanasundaram, US 10013992B2, Issued July 2018.
  • Distributed location detection in wireless sensor networks, Zhang, M. Banavar, C. Tepedelenlioglu, A. Spanias, US 10,028,085, Issued July 2018.
  • Methods, Apparatuses, and Systems for Reconstruction-Free Image Recognition from Compressive Sensors, A.Spanias, H. Braun, P. Turaga, C. Tepedelenlioglu), US 10,387,751, August 2019.
  • Distributed Network Center Area Estimation, (S. Zhang, Tepedelenlioglu, A. Spanias), US 10,440,553, Issued Oct. 2019

Pre-Disclosures to AZ Technology Enterprises (AzTE)

  1. M8-051, H. Krishnamoorthi+, V. Berisha+ and A. Spanias, “Fast loudness estimation for  audio” Dec. 2007 [Filed with Arizona Technology Enterprises], June 2008.
  2. M13-147P J. Jayaraman, K. Ramamurthy, A. Spanias, Improved Mixing Matrix Estimation for Blind Source Separation using Discriminative Clustering, Predisclosure AzTE, March 2013.
  3. M16-089P Android Acoustic Reflection Mapping, Paul Curtis (REU Student). M. Banavar, AzTE, 2015.
  4. M18-052P Attend and Diagnose: Clinical Time Series Analysis using Attention Models, D. Rajan, H. Song, J. Jayaraman, A. Spanias, 2018.
  5. M19-078P. Graph Attention Models for Multi-layered Embeddings and Deep Learning Applications, U. Shanthamallu, A. Spanias, J. Thiagarajan, Oct 2018.
  6. M19-147P, Adaptive Energy Load Segmentation Algorithm using Machine Learning and Signal Processing, K. Jaskie, J. Marvin, A. Spanias, Dec 2018.
  7. M20-068P, “Analysis and Design of Robust Max Consensus for Wireless Sensor Networks” G. Muniraju, A. Spanias, C. Tepedelenlioglu, on Sept. 2019.