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Engineering | SENSIP


  1. Split-Band Speech Compression Based On Loudness Estimation, (with Visar Berisha), ASU, Tempe, Ariz. (US), US 8,392,198, Issued 2012.
  2. Method and system for determining an auditory pattern of an audio segment,” (with Krishnamoorthi V. Berisha), US 9,055,374, Issued June 2015.
  3. 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.
  4. Energy-Efficient Distributed Estimation using Nonlinear Amplifiers, ( Santucci, M. Banavar, C. Tepedeleioglu, A. Spanias) Patent Issued Oct. 4, 2016, US 9,461,676.
  5. Kernel Sparse Models for automated tumor segmentation, (with J. Jayaraman, K. Ramamurthy, D. Frakes) Patent Issued July 18, 2017, US 9,710,916.
  6. An algorithm to estimate glomerular number from kidney magnetic resonance images, (with J. Jayaraman, K. Ramamurthy, D. Frakes,) US 9,779,497, Oct. 2017.
  7. 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.
  8. Fast Computation of Excitation Pattern, Auditory Pattern and Loudness, A. Spanias, G. Kalyanasundaram, US 10013992B2, Issued July 2018.
  9. Distributed location detection in wireless sensor networks, Zhang, M. Banavar, C. Tepedelenlioglu, A. Spanias, US 10,028,085, Issued  July 2018.
  10. 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.
  11. Distributed Network Center Area Estimation,  (S. Zhang, Tepedelenlioglu, A. Spanias), US 10,440,553,  Issued Oct. 2019
  12. Systems and methods for skyline prediction for cyber-physical photovoltaic array control, S. Katoch, P. Turaga, A. Spanias, C. Tepedelenlioglu, P. Turaga, US Patent 11,132,551, Issued Sept. 2021.
  13.  H. Song, V. Berisha, A. Spanias, M.Willi, J. Thiagarajan,  Systems and methods for a triplet network with attention for speaker diarization, US Patent 11,152,013, Issued Oct. 2021.

Official Full Patent List from USPTO

Provisional Patents

  1. M17-265P Systems and Methods for Customizing Kernel Machines with Deep Neural Networks (with Huan Song, A. Spanias, J. Thiagarajan), US 62/571,145
  2. M18-165P, Entitled System and Methods for Cyber-Physical Photovoltaic Array Monitoring and Control, S. Katoch, A. Spanias, C. Tepedelenlioglu, P. Turaga, US 62/685,807, 2018.
  3. M18-209P, Triplet Network with Attention for Speaker Diarization, H.Song, V. Berisha, J. Jayaraman, A. Spanias, M. Willi, 62/713,727, 2018.
  4. M19-102P, Solar Array Fault Detection, Classification and Localization Using Deep Neural Nets, S. Rao, A. Spanias, C .Tepedelenlioglu, 62/843,821, 11/8/2018.
  5. M19-149P Systems And Methods For Connection Topology Optimization In Photovoltaic Arrays Using Neural Networks, Vivek Sivaraman Narayanaswamy, Raja, Ayyanar, Andreas Spanias, Cihan Tepedelenlioglu,  US  62/808,677, 2019.
  6. M19-259P, Adaptive Video Subsampling For Energy Efficient Object Detection, S. Jayasuriya, P. Turaga, A. Spanias, S. Katoch, D. Mohan, US  62/872,902, 2019.
  7. M20-210P, Systems and Methods for Fault Classification in Photo-voltaic Arrays using Graph Signal Processing
  8. ie Fan, Gowtham Muniraju, Sunil Rao, A. Spanias, C.Tepedelenlioglu, US Provisional 63/023,620,  05/12/2020
  9. M20-218P Systems and Methods for Consensus-Based Distributed Spectral Radius Distriibution                   Gowtham Muniraju, Andreas Spanias, Cihan Tepedelenlioglu, Provisional US 63/038,430, 06 /12/2020
  10. M20-254P Dropout and Pruned Neural Networks for Fault Classification in Photovoltaic Arrays Gowtham Muniraju, Sunil Rao, Andreas Spanias, Cihan Tepedelenlioglu, Provisional US 63/039,012, 06/15/2020
  11. M20-255P Coupled Tracking and Motion Deblurring via Coded Exposure: Algorithm and FPGA Architecture, Odrika Iqbal, Suren Jayasuriya, Andreas Spanias, Provisional US 63/039,224, 06/2020

Pre-Disclosures to Skysong Innovation (formerly 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.