SIVANANTHAN LABORATORIES, INC.

Company Information
Address 590 TERRITORIAL DR STE H
BOLINGBROOK, IL, 60440-4887


Information

DUNS: 832072149

# of Employees: 33


Ownership Information

HUBZone Owned: N

Socially and Economically Disadvantaged: Y

Woman Owned: N



Award Charts




Award Listing

  1. Electronically Tunable Narrow-Band Infrared Focal Plane Array Based on the Quantum-Confined Stark Effect in Colloidal Quantum Dots

    Amount: $150,000.00

    Spectral imaging in the infrared enables cameras to not only detect objects in the scene, but also provide information that can be used to determine their chemical composition. Variations in emissivit ...

    SBIRPhase I2019Department of Defense Air Force
  2. Integrating Software/Hardware Approaches for Compressive Sensing to Enhance the Performance of Ultra-High-Speed Electron Cameras

    Amount: $149,995.44

    Sivananthan Laboratories will develop the compressive sensing (CS)/inpainting algorithms and associated software to optimize the acquisition speed, image resolution/sensitivity, and data transfer/stor ...

    SBIRPhase I2019Department of Energy
  3. Monte Carlo Transport Simulation of T2SL-Based Devices

    Amount: $749,998.00

    Sivananthan Laboratories, Inc. and the University of Illinois at Chicago (UIC) will collaborate to develop a Monte Carlo (MC) transport simulation and device modeling software package for optoelectron ...

    STTRPhase II2019Department of Defense Air Force
  4. Advancing Hyperspectral Imaging through IntegratedCompressive Sensing / Inpainting via Machine Learning

    Amount: $749,962.00

    Hyperspectral datasets are massive. This size makes them difficult to acquire, store, transmit, analyze and use. Hyperspectral imagers (HSI) are also costly and complex, taking significant time or por ...

    SBIRPhase II2019National Aeronautics and Space Administration
  5. Advancing Hyperspectral Imaging through IntegratedCompressive Sensing / Inpainting via Machine Learning

    Amount: $124,918.00

    We propose to use advanced algorithms for compressive sensing (CS) using inpainting which utilize machine learning to improve the capability of existing or novel hyperspectral imaging (HSI) systems. T ...

    SBIRPhase I2018National Aeronautics and Space Administration
  6. Monte Carlo Transport Simulation of T2SL-Based Devices

    Amount: $149,989.00

    Sivananthan Laboratories, Inc. and the University of Illinois at Chicago (UIC) will collaborate to develop a Monte Carlo (MC) transport simulation package for devices based on III-V Type-II superlatti ...

    STTRPhase I2018Department of Defense Air Force
  7. A Low-Cost, High Performance Collodial Quantum Dot MWIR Focal Plane Array

    Amount: $1,499,919.00

    There is a growing need for the wider deployment of infrared cameras in various defense applications, from handheld to vehicle-mounted. Meeting this requires a low-cost imaging device that has low noi ...

    STTRPhase II2018Department of Defense Defense Advanced Research Projects Agency
  8. High-Speed Image Processing in Heavily Degraded Environments Using a Machine Learning Classifier

    Amount: $499,955.80

    Driving ground vehicles in heavily degraded visual environments brings significant risk since course corrections cannot be made safely without visual cues. Infrared imagery can improve visibility in d ...

    SBIRPhase II2018Department of Defense Army
  9. A Compact II-VI Colloidal Quantum Dot Imaging System for High-Speed and High-Resolution Full Stokes Polarimetry

    Amount: $98,003.00

    Infrared polarimetry has proven to enhance target detection and tracking in cluttered environments, and is of significant importance to high energy laser weapon targeting systems. Modern state of the ...

    SBIRPhase I2017Department of Defense Army
  10. High-Speed Image Processing in Heavily Degraded Environments Using a Machine Learning Classifier

    Amount: $99,996.00

    Driving ground vehicles in heavily degraded visual environments brings significant risk since course corrections cannot be made safely without visual cues. Infrared imagery can improve visibility in d ...

    SBIRPhase I2017Department of Defense Army
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