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Gustavo K Rohde

age ~47

from Dunn Loring, VA

Also known as:
  • Gustavo H Rohde
  • Gustavo Rhode

Gustavo Rohde Phones & Addresses

  • Dunn Loring, VA
  • Pittsburgh, PA
  • 7111 Hampstead Dr, Crozet, VA 22932 • 240-515-4203
  • Manchester, MA
  • 4920 Battery Ln, Bethesda, MD 20814 • 301-347-9363
  • Brentwood, TN
  • 5427 Kentucky Ave, Pittsburgh, PA 15232 • 301-347-9363

Work

  • Company:
    Carnegie mellon university
    Jun 2012
  • Address:
    Greater Pittsburgh Area
  • Position:
    Associate professor

Education

  • Degree:
    Ph.D.
  • School / High School:
    University of Maryland College Park
    2002 to 2005
  • Specialities:
    Applied Mathematics and Scientific Computation

Skills

Scientific Computing • Applied Mathematics • Computational Biology • Physics • Machine Learning • Computer Vision • Image Analysis • Signal Processing • Image Processing • Algorithms • High Performance Computing • Matlab • Simulations • Bioinformatics • Communications Audits • C • C++ • Latex

Languages

Portuguese

Industries

Higher Education

Us Patents

  • Method And Apparatus For Secure Digital Communications Using Chaotic Signals

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  • US Patent:
    20080107268, May 8, 2008
  • Filed:
    Sep 10, 2007
  • Appl. No.:
    11/853012
  • Inventors:
    Gustavo Rohde - Pittsburgh PA, US
    Jonathan Nichols - Crofton MD, US
    Frank Bucholtz - Crofton MD, US
  • International Classification:
    H04L 9/06
  • US Classification:
    380263000
  • Abstract:
    A system and method for encoding zero and one bits for transmission, including generating a first signal from a non-linear chaotic system to represent the one bit, with the signal's embedded vectors being within the non-linear system's attractor set, and generating a second signal from the non-linear system to represent the zero bit, with the signal's embedded vectors being outside the non-linear system's attractor set. The second signal encoding the zero bit can be generated by adding together two chaotic signals arising from the non-linear system initialized with different initial conditions, and weighting the second signal to have approximately the same energy as the first signal. One suitable chaotic systems is a Lorenz system. Systems and methods for decoding a transmitted stream of signals compare a detection statistic of the received stream of signals to a threshold value that depends on the chaotic system.
  • Methods, Apparatuses And Systems For Time Delay Estimation

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  • US Patent:
    20210281361, Sep 9, 2021
  • Filed:
    Jun 18, 2020
  • Appl. No.:
    16/905842
  • Inventors:
    - Washington DC, US
    Jonathan M. Nichols - Crofton MD, US
    Gustavo K. Rohde - Crozet VA, US
    Nicole Menkart - Potomac MD, US
    Geoffrey A. Cranch - Fairfax Station VA, US
  • International Classification:
    H04L 1/06
  • Abstract:
    Methods, apparatuses, and systems for calculating time delays by a Wasserstein approach are provided. A plurality of signals are recorded by a plurality of sensors (three or more), respectively, and received at a controller. The plurality of signals recorded by the plurality of sensors are generated in response to a signal emitted by a source. The plurality of signals are converted into a plurality of probability density functions. A cumulative distribution transform for each of the plurality of probability density functions is calculated. A time delay for each unique pair of the plurality of sensors is calculated by minimizing a Wasserstein distance between two cumulative distribution transforms corresponding to the unique pair of the plurality of sensors
  • System And Method For Automated Detection Of Neurological Deficits

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  • US Patent:
    20210093231, Apr 1, 2021
  • Filed:
    Jan 22, 2019
  • Appl. No.:
    15/733244
  • Inventors:
    - Charlottesville VA, US
    Mark MCDONALD - Charlottesville VA, US
    Andrew M. SOUTHERLAND - Charlottesville VA, US
    Gustavo ROHDE - Crozet VA, US
    Yan ZHUANG - Charlottesville VA, US
  • International Classification:
    A61B 5/11
    A61B 5/00
    G06K 9/00
    G06N 20/00
    G06F 3/01
  • Abstract:
    The disclosed embodiments provide systems and methods for predicting presence of one or more neurological deficits. The system may include a microphone, a camera, one or more memory devices storing instructions, and one or more processors configured to execute the instructions to extract audio information including a period density entropy coefficient and a mel frequency cepstral coefficient from an audio feed received from the microphone. Additionally, the instructions may cause the processor to determine position and depth information of eye movement from a video feed received from the camera and detect features of interest including facial landmarks, spatial orientation of limbs, and positional information of limb movements from the video feed. The one or more processors may further extract the features of interest from the video feed and process the extracted features of interest by aligning the extracted features of interest to a common reference.
  • Smoke Detection System And Method Using A Camera

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  • US Patent:
    20190266869, Aug 29, 2019
  • Filed:
    May 14, 2019
  • Appl. No.:
    16/411353
  • Inventors:
    - Pittsburgh PA, US
    Gustavo K. Rohde - Pittsburgh PA, US
    Frederick Lanni - Pittsburgh PA, US
    Stephen C. Davis - Allison Park PA, US
  • Assignee:
    Smoke Detective, LLC - Pittsburgh PA
  • International Classification:
    G08B 17/12
    G06K 9/00
    H04N 7/18
    G06K 9/62
  • Abstract:
    Image-based fire detection methods are provided which include analyzing a field of view based on a plurality of images, determining if changes occur, and analyzing whether any such changes are due to smoke-like material. Changes due to large objects are ruled out, and drift in the scene or shaking of the image collection device is accounted for by the method. The methods employ representing images of the field of view with quantifiable values and comparing to thresholds established for each event, and activating an alarm if changes due to smoke-like material are detected. The fire detection methods may also include monitoring a field of view for changes, and only performing the analysis on the images if changes are detected. The monitoring and validating stages of the methods include collecting images at different sampling rates for different amounts of information.
  • Smoke Detection System And Method Using A Camera

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  • US Patent:
    20160307424, Oct 20, 2016
  • Filed:
    Jun 28, 2016
  • Appl. No.:
    15/194878
  • Inventors:
    - Pittsburgh PA, US
    Gustavo K. Rohde - Pittsburgh PA, US
    Frederick Lanni - Pittsburgh PA, US
  • Assignee:
    Smoke Detective, LLC - Pittsburgh PA
  • International Classification:
    G08B 17/12
    G06K 9/62
    H04N 7/18
  • Abstract:
    Image-based fire detection methods are provided which include analyzing a field of view based on a plurality of images, determining if changes occur, and analyzing whether any such changes are due to smoke-like material. Changes due to large objects are ruled out, and drift in the scene or shaking of the image collection device is accounted for by the method. The methods employ representing images of the field of view with quantifiable values and comparing to thresholds established for each event, and activating an alarm if changes due to smoke-like material are detected. The fire detection methods may also include monitoring a field of view for changes, and only performing the analysis on the images if changes are detected. The monitoring and validating stages of the methods include collecting images at different sampling rates for different amounts of information.
  • Fire Detection Apparatus Utilizing A Camera

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  • US Patent:
    20160247375, Aug 25, 2016
  • Filed:
    Feb 19, 2015
  • Appl. No.:
    14/625689
  • Inventors:
    Russell P. Mills - Coraopolis PA, US
    Gustavo K. Rohde - Pittsburgh PA, US
    Frederick Lanni - Pittsburgh PA, US
  • International Classification:
    G08B 17/12
    G06K 9/46
    H04N 7/18
  • Abstract:
    A fire detection device is provided that has a camera that captures a reference image and a measured image. A processor compares intensity of the measured image to intensity of the reference image and uses this comparison to determine if an alarm is generated to indicate the presence of fire. The intensity of the measured image may be the total number of photons of the measured image, and the intensity of the reference image may be the total number of photons of the reference image. In other arrangements, the intensity may be measured between individual corresponding pixels of the reference and measured images.
  • Quantitative Comparison Of Image Data Using A Linear Optimal Transportation

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  • US Patent:
    20140297648, Oct 2, 2014
  • Filed:
    Sep 26, 2012
  • Appl. No.:
    14/347498
  • Inventors:
    - Pittsburgh PA, US
    Dejan Slepcev - Pittsburgh PA, US
    Gustavo Kunde Rohde - Pittsburgh PA, US
  • International Classification:
    G06F 17/30
  • US Classification:
    707740, 707758
  • Abstract:
    A method performed by one or more processors includes retrieving a set of images; selecting, based on the images retrieved, a reference template; calculating optimal transportation plans between the reference template and each of the images in the set; and calculating, using the optimal transportation plans, a linear optimal transportation metric between at least two images in the set.
  • Segmenting Biological Structures From Microscopy Images

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  • US Patent:
    20140286562, Sep 25, 2014
  • Filed:
    Sep 27, 2012
  • Appl. No.:
    14/348342
  • Inventors:
    - Pittsburgh PA, US
    Gustavo Kunde Rohde - Pittsburgh PA, US
    John A. Ozolek - Pittsburgh PA, US
    Wei Wang - Pittsburgh PA, US
  • International Classification:
    G06K 9/00
  • US Classification:
    382133
  • Abstract:
    A method performed by one or more processors, includes: receiving an image to be segmented into one or more representations of one or more biological structures; accessing data representing a set of biological structures that are derived from other biological structures delineated in a training image, wherein the training image is associated with a level of modality that corresponds to a level of modality associated with the image to be segmented; computing a normalized cross correlation of the received image against one or more of the biological structures in the set of biological structures; generating, based on computing, seed data representing an estimate of a spatial organization of the one or more biological structures in the received image; and segmenting, based on a normalized cross correction of the received image to the seed data, the received image into the one or more representations of the one or more biological structures.

Resumes

Gustavo Rohde Photo 1

Professor, Bme And Ece

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Location:
7111 Hampstead Dr, Crozet, VA 22932
Industry:
Higher Education
Work:
Carnegie Mellon University - Greater Pittsburgh Area since Jun 2012
Associate Professor

Carnegie Mellon University - Pittsburgh, PA Jan 2007 - Jun 2012
Assistant Professor

National Research Council, National Academy of Sciences, Naval Research Laboratory - Washington D.C. Metro Area Sep 2005 - Dec 2006
Postdoctoral Assosciate
Education:
University of Maryland College Park 2002 - 2005
Ph.D., Applied Mathematics and Scientific Computation
Vanderbilt University 1999 - 2001
M.S., Electrical and Computer Engineering
Vanderbilt University 1995 - 1999
B.S., Physics and Mathematics
Skills:
Scientific Computing
Applied Mathematics
Computational Biology
Physics
Machine Learning
Computer Vision
Image Analysis
Signal Processing
Image Processing
Algorithms
High Performance Computing
Matlab
Simulations
Bioinformatics
Communications Audits
C
C++
Latex
Languages:
Portuguese

Plaxo

Gustavo Rohde Photo 2

Gustavo Rohde

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Florianópolis, SC

Googleplus

Gustavo Rohde Photo 3

Gustavo Rohde

Gustavo Rohde Photo 4

Gustavo Rohde

Facebook

Gustavo Rohde Photo 5

Gustavo Rohde

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Gustavo Rohde Photo 6

Gustavo Rohde

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Youtube

Skate Eterno Video Magazine Sesso 5/3/11 6/3/...

www.skateternovm... - Atletas - Gustavo Severo, Lucas Medeiros, Jefer...

  • Category:
    Sports
  • Uploaded:
    09 Mar, 2011
  • Duration:
    3m 28s

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