Patents by Inventor Prasanna G. Mulgaonkar

Prasanna G. Mulgaonkar 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: 8635705
    Abstract: In some embodiments, approaches may provide an out-of-band (OOB) agent to protect a platform. The OOB agent may be able to use non-TRS methods to measure and protect an in-band security agent. In some embodiments, a manageability engine can provide out of band connectivity to the in-band and out-of-band security agents and provide access to the system memory resources without having to rely on OS services. This can be used for a trusted anti-malware and remediation service.
    Type: Grant
    Filed: February 17, 2010
    Date of Patent: January 21, 2014
    Assignee: Intel Corporation
    Inventors: Ravi L. Sahita, David M. Durham, Steve Orrin, Yasser Rasheed, Prasanna G. Mulgaonkar, Paul S. Schmitz, Hormuzd M. Khosravi
  • Publication number: 20110078799
    Abstract: In some embodiments, approaches may provide an out-of-band (OOB) agent to protect a platform. The OOB agent may be able to use non-TRS methods to measure and protect an in-band security agent. In some embodiments, a manageability engine can provide out of band connectivity to the in-band and out-of-band security agents and provide access to the system memory resources without having to rely on OS services. This can be used for a trusted anti-malware and remediation service.
    Type: Application
    Filed: February 17, 2010
    Publication date: March 31, 2011
    Inventors: Ravi L. Sahita, David M. Durham, Steve Orrin, Yasser Rasheed, Prasanna G. Mulgaonkar, Paul S. Schmitz, Hormuzd M. Khosravi
  • Patent number: 7809155
    Abstract: A result higher resolution (HR) image of a scene given multiple, observed lower resolution (LR) images of the scene is computed using a Bayesian estimation image reconstruction methodology. The methodology yields the result HR image based on a Likelihood probability function that implements a model for the formation of LR images in the presence of noise. This noise is modeled by a probabilistic, non-Gaussian, robust function. The image reconstruction methodology may be used to enhance the image quality of images or video captured using a low resolution image capture device. Other embodiments are also described and claimed.
    Type: Grant
    Filed: June 29, 2006
    Date of Patent: October 5, 2010
    Assignee: Intel Corporation
    Inventors: Oscar Nestares, Horst W. Haussecker, Scott M. Ettinger, Michael P. Dierks, Prasanna G. Mulgaonkar