Patents by Inventor Cuong M. Nguyen

Cuong M. Nguyen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11378539
    Abstract: A method of fabricating amorphous iridium oxide film pH sensors and microfluidic devices incorporating the pH sensors. The present invention provides a fabrication method for sol-gel based iridium oxide (IrOx) thin film pH sensors and microelectrodes. The invention further provides microelectrode arrays produced by the fabrication methods and microfluidic devices including the microelectrodes and microelectrode arrays. In one aspect, the invention is a method for fabricating a microelectrode pH sensor.
    Type: Grant
    Filed: September 22, 2014
    Date of Patent: July 5, 2022
    Assignee: Board of Regents, The University of Texas System
    Inventors: Jung-Chih Chiao, Cuong M. Nguyen, Smitha M N Rao
  • Publication number: 20160209348
    Abstract: A method of fabricating amorphous iridium oxide film pH sensors and microfluidic devices incorporating the pH sensors. The present invention provides a fabrication method for sol-gel based iridium oxide (IrOx) thin film pH sensors and microelectrodes. The invention further provides microelectrode arrays produced by the fabrication methods and microfluidic devices including the microelectrodes and microelectrode arrays. In one aspect, the invention is a method for fabricating a microelectrode pH sensor.
    Type: Application
    Filed: September 22, 2014
    Publication date: July 21, 2016
    Applicant: Board of Regents, The University of Texas System
    Inventors: Jung-Chih Chiao, Cuong M. Nguyen, Smitha MN Rao
  • Patent number: 8665144
    Abstract: Embodiments of the present invention provide for improved estimation of environmental parameters in a dual-polarization radar system. In some embodiments, environmental parameters can be estimated using a linear combination of data received in two orthogonal polarization states. In particular, embodiments of the invention improve ground clutter and noise mitigation in dual polarization radar systems. Moreover, embodiments of the invention also provide for systems to determine the differential reflectivity and/or the magnitude of the co-polar correlation coefficient and the differential phase in a dual polarization radar system.
    Type: Grant
    Filed: May 7, 2009
    Date of Patent: March 4, 2014
    Assignee: Colorado State University Research Foundation
    Inventors: Chandrasekaran Venkatachalam, Cuong M. Nguyen, Dmitri N. Moisseev
  • Patent number: 8274423
    Abstract: Sensitivity is a critical aspect of weather radar systems. Such systems not only detect atmospheric patterns but often need to precisely measure weak precipitation echoes. Embodiments of the invention use pulse compression techniques to increase the sensitivity of weather radar systems. These techniques can include sending two waveforms into a region of interest, where the second waveform is designed based on knowledge about the first waveform. Such systems can enhance the sensitivity of weather radars about 10 dB.
    Type: Grant
    Filed: October 20, 2010
    Date of Patent: September 25, 2012
    Assignee: Colorado State University Research Foundation
    Inventors: Chandrasekaran Venkatachalam, Cuong M. Nguyen, Nitin Bharadwaj
  • Patent number: 8164512
    Abstract: Embodiments of the present invention provide a Gaussian adaptive filter for ground clutter filtering and signal parameter estimation for weather radars in the time domain. In some embodiments, the filtering can be applied to dual polarization radar systems. In some embodiments, the clutter component of the signal can be transformed to noise. An interpolation procedure can then be used to recover the transformed part of the weather. A unique filter can be designed to use for both H and V channels for dual-polarization parameter estimation. In addition, the filter can be directly extended for staggered PRT 2/3 sampling scheme.
    Type: Grant
    Filed: October 8, 2009
    Date of Patent: April 24, 2012
    Assignee: Colorado State University Research Foundation
    Inventors: Chandrasekaran Venkatachalam, Cuong M. Nguyen
  • Publication number: 20100090884
    Abstract: Embodiments of the present invention provide a Gaussian adaptive filter for ground clutter filtering and signal parameter estimation for weather radars in the time domain. In some embodiments, the filtering can be applied to dual polarization radar systems. In some embodiments, the clutter component of the signal can be transformed to noise. An interpolation procedure can then be used to recover the transformed part of the weather. A unique filter can be designed to use for both H and V channels for dual-polarization parameter estimation. In addition, the filter can be directly extended for staggered PRT 2/3 sampling scheme.
    Type: Application
    Filed: October 8, 2009
    Publication date: April 15, 2010
    Applicant: Colorado State University Research Foundation
    Inventors: Chandrasekaran Venkatachalam, Cuong M. Nguyen
  • Publication number: 20090295627
    Abstract: Embodiments of the present invention provide for improved estimation of environmental parameters in a dual-polarization radar system. In some embodiments, environmental parameters can be estimated using a linear combination of data received in two orthogonal polarization states. In particular, embodiments of the invention improve ground clutter and noise mitigation in dual polarization radar systems. Moreover, embodiments of the invention also provide for systems to determine the differential reflectivity and/or the magnitude of the co-polar correlation coefficient and the differential phase in a dual polarization radar system.
    Type: Application
    Filed: May 7, 2009
    Publication date: December 3, 2009
    Applicant: Colorado State University Research Foundation Technology Transfer
    Inventors: Chandrasekaran Venkatachalam, Cuong M. Nguyen, Dmitri N. Moisseev