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Atiyeh Ghoreyshi Phones & Addresses

  • San Francisco, CA
  • 88 Southgate St, Redwood City, CA 94062 (310) 344-3983
  • Foster City, CA
  • Irvine, CA
  • Los Angeles, CA
  • Baltimore, MD

Work

Company: Microsfere technologies, inc. Jan 2019 Position: Advisor

Education

Degree: Doctorates, Doctor of Philosophy School / High School: Mcgill University 2007 to 2011 Specialities: Biomedical Engineering

Skills

Image Processing • Biomedical Engineering • Simulations • Algorithms • Robotics • Machine Learning • Simulink • Matlab • System Identification • R&D • Modeling • Pattern Recognition • Signal Processing • Control Theory • Sensors • Research • Latex • Mathematical Modeling • Human Motor Control • Control • Neural Computations • Spiking Neural Networks • Kalman Filtering • Linear and Nonlinear Filtering • Computer Vision • Research and Development

Languages

English • French • Persian • Spanish

Ranks

Certificate: 9Th Annual Navigational Bronchoscopy Summit: Targeted Diagnostics and Targeted Therapeutics - Certificate of Participation

Industries

Medical Devices

Resumes

Resumes

Atiyeh Ghoreyshi Photo 1

Algorithms And Data Science Technician Lead And Manager At Verily

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Location:
San Francisco, CA
Industry:
Medical Devices
Work:
Microsfere Technologies, Inc.
Advisor

Verily Life Sciences
Algorithms and Data Science Technician Lead and Manager at Verily

Motiv Inc Jun 2017 - Sep 2018
Director of Algorithms and Data Science

Fitbit Dec 31, 2015 - Jun 2017
Senior Research Scientist

Auris Health, Inc May 2014 - Oct 2015
Senior R and D Scientist
Education:
Mcgill University 2007 - 2011
Doctorates, Doctor of Philosophy, Biomedical Engineering
The Johns Hopkins University 2005 - 2007
Sharif University of Technology 1999 - 2004
Bachelors, Bachelor of Science, Electrical Engineering
Johns Hopkins Whiting School of Engineering
Skills:
Image Processing
Biomedical Engineering
Simulations
Algorithms
Robotics
Machine Learning
Simulink
Matlab
System Identification
R&D
Modeling
Pattern Recognition
Signal Processing
Control Theory
Sensors
Research
Latex
Mathematical Modeling
Human Motor Control
Control
Neural Computations
Spiking Neural Networks
Kalman Filtering
Linear and Nonlinear Filtering
Computer Vision
Research and Development
Languages:
English
French
Persian
Spanish
Certifications:
9Th Annual Navigational Bronchoscopy Summit: Targeted Diagnostics and Targeted Therapeutics - Certificate of Participation

Publications

Us Patents

Navigation Of Tubular Networks

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US Patent:
20230012778, Jan 19, 2023
Filed:
Jul 27, 2022
Appl. No.:
17/875365
Inventors:
- Redwood City CA, US
Atiyeh Ghoreyshi - Richmond CA, US
Prasanth Jeevan - San Mateo CA, US
Yiliang Xu - Cupertino CA, US
Gehua Yang - Wexford PA, US
Matthew Joseph Leotta - Clifton Park NY, US
Charles V. Stewart - Clifton park NY, US
Assignee:
Auris Health, Inc. - Redwood City CA
International Classification:
A61B 1/00
G06T 7/00
A61B 6/03
A61B 1/267
G06T 15/20
G06T 7/149
G06T 17/00
A61B 5/06
A61B 34/20
G06T 7/73
G06T 7/246
G06T 7/32
Abstract:
Methods and apparatuses provide improved navigation through tubular networks such as lung airways by providing improved estimation of location and orientation information of a medical instrument (e.g., an endoscope) within the tubular network. Various input data such as image data, EM data, and robot data are used by different algorithms to estimate the state of the medical instrument, and the state information is used to locate a specific site within a tubular network and/or to determine navigation information for what positions/orientations the medical instrument should travel through to arrive at the specific site. Probability distributions together with confidence values are generated corresponding to different algorithms are used to determine the medical instrument's estimated state.

Core Temperature Estimation From Skin And Ambient Temperature Sensors Using A Dynamic Model

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US Patent:
20210275030, Sep 9, 2021
Filed:
Mar 5, 2021
Appl. No.:
17/249562
Inventors:
- South San Francisco CA, US
Atiyeh Ghoreyshi - San Francisco CA, US
Assignee:
Verily Life Sciences LLC - South San Francisco CA
International Classification:
A61B 5/01
G01K 7/42
Abstract:
A temperature measurement device for determining a body temperature of a subject includes a first temperature sensor configured to measure a plurality of skin temperatures of the subject at a plurality of time instants, a second temperature sensor spaced apart from the first temperature sensor and configured to measure a plurality of ambient temperatures at the plurality of time instants, a thermal insulation material between the first temperature sensor and the second temperature sensor, a memory device configured to store the plurality of skin temperatures and the plurality of ambient temperatures, and a controller configured to estimate, using a prediction model, the body temperature of the subject based on the plurality of skin temperatures and the plurality of ambient temperatures.

Menstrual Cycle Tracking

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US Patent:
20210145415, May 20, 2021
Filed:
Sep 4, 2020
Appl. No.:
17/013337
Inventors:
- San Francisco CA, US
Chris Hanrahan Sarantos - San Francisco CA, US
Conor Joseph Heneghan - Campbell CA, US
Logan Niehaus - Alameda CA, US
Jaclyn Leverett Wasson - Alameda CA, US
Peter Colin Dess - San Francisco CA, US
Amir Bahador Farjadian - Boston MA, US
Zachary Todd Beattie - Pleasant Hill CA, US
Atiyeh Ghoreyshi - San Francisco CA, US
Allison Shih Wu - San Francisco CA, US
International Classification:
A61B 10/00
A61B 5/01
A61B 5/0205
A61B 5/11
A61B 5/145
A61B 5/1455
A61B 5/00
Abstract:
Health information for a woman can be used to predict timing of events related to the woman's menstrual cycle. If available, historical cycle information for a woman can be used to predict upcoming cycle events, such as the start and stop of menstruation. To improve the accuracy of those predictions, one or more health metrics are monitored for the woman that can be correlated with the menstrual cycle. These can include, for example, the resting heart rate (RHR), blood oxygen concentration (SpO) level, and hemoglobin concentration, among other such options. The metrics are monitored over time to determine patterns that can be correlated with menstrual cycle. This information can then be used to update the predictive model, as well as to update individual event predictions. Information about the predictions, and updates to the predictions, can be surfaced accordingly.

Navigation Of Tubular Networks

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US Patent:
20210049762, Feb 18, 2021
Filed:
Aug 27, 2020
Appl. No.:
17/004669
Inventors:
- Redwood City CA, US
Atiyeh Ghoreyshi - Richmond CA, US
Prasanth Jeevan - San Mateo CA, US
Yiliang Xu - Cupertino CA, US
Gehua Yang - Wexford PA, US
Matthew Joseph Leotta - Clifton Park NY, US
Charles V. Stewart - Clifton Park NY, US
International Classification:
G06T 7/00
A61B 1/04
A61B 6/03
A61B 1/267
A61B 1/00
A61B 1/005
G06T 15/20
G06T 7/149
G06T 17/00
A61B 5/06
A61B 34/20
G06T 7/73
G06T 7/246
G06T 7/32
Abstract:
Methods and apparatuses provide improved navigation through tubular networks such as lung airways by providing improved estimation of location and orientation information of a medical instrument (e.g., an endoscope) within the tubular network. Various input data such as image data, EM data, and robot data are used by different algorithms to estimate the state of the medical instrument, and the state information is used to locate a specific site within a tubular network and/or to determine navigation information for what positions/orientations the medical instrument should travel through to arrive at the specific site. Probability distributions together with confidence values are generated corresponding to different algorithms are used to determine the medical instrument's estimated state.

User Identification Via Motion And Heartbeat Waveform Data

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US Patent:
20200167004, May 28, 2020
Filed:
Oct 24, 2019
Appl. No.:
16/663166
Inventors:
- San Francisco CA, US
James Park - Berkeley CA, US
Atiyeh Ghoreyshi - San Francisco CA, US
Anjian Wu - Colma CA, US
International Classification:
G06F 3/01
G01P 13/00
G01P 1/02
G01C 22/00
A61B 5/00
A61B 5/11
A61B 5/0402
A61B 5/024
G09B 5/02
G06F 21/32
A63B 24/00
G06K 9/00
G06F 1/16
G01S 19/19
G06Q 50/00
G01S 19/00
A61B 5/117
Abstract:
The disclosure relates to methods, devices, and systems to identify a user of a wearable fitness monitor using data obtained using the wearable fitness monitor. Data obtained from motion sensors of the wearable fitness monitor and data obtained from heartbeat waveform sensors of the wearable fitness monitor may be used to identify the user.

Menstrual Cycle Tracking

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US Patent:
20200000441, Jan 2, 2020
Filed:
Jun 14, 2019
Appl. No.:
16/441536
Inventors:
- San Francisco CA, US
Chris H. Sarantos - San Francisco CA, US
Conor Joseph Heneghan - Campbell CA, US
Logan Niehaus - Alameda CA, US
Jaclyn Leverett Wasson - Alameda CA, US
Peter Colin Dess - San Francisco CA, US
Amir Bahador Farjadian - Boston MA, US
Zachary Todd Beattie - Pleasant Hill CA, US
Atiyeh Ghoreyshi - San Francisco CA, US
Allison Shih Wu - San Francisco CA, US
International Classification:
A61B 10/00
A61B 5/0205
A61B 5/1455
A61B 5/145
A61B 5/11
A61B 5/00
A61B 5/01
Abstract:
Health information for a woman can be used to predict timing of events related to the woman's menstrual cycle. If available, historical cycle information for a woman can be used to predict upcoming cycle events, such as the start and stop of menstruation. To improve the accuracy of those predictions, one or more health metrics are monitored for the woman that can be correlated with the menstrual cycle. These can include, for example, the resting heart rate (RHR), blood oxygen concentration (SpO) level, and hemoglobin concentration, among other such options. The metrics are monitored over time to determine patterns that can be correlated with menstrual cycle. This information can then be used to update the predictive model, as well as to update individual event predictions. Information about the predictions, and updates to the predictions, can be surfaced accordingly.

Automated Endoscope Calibration

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US Patent:
20190290109, Sep 26, 2019
Filed:
Jun 7, 2019
Appl. No.:
16/435090
Inventors:
- Redwood City CA, US
Atiyeh Ghoreyshi - Richmond CA, US
David S. Mintz - Mountain View CA, US
International Classification:
A61B 1/00
A61B 34/30
A61B 1/005
Abstract:
A surgical robotic system automatically calibrates tubular and flexible surgical tools such as endoscopes. By accounting for nonlinear behavior of an endoscope, the surgical robotic system can accurately model motions of the endoscope and navigate the endoscope while performing a surgical procedure on a patient. The surgical robotic system models the nonlinearities using sets of calibration parameters determined based on images captured by an image sensor of the endoscope. Calibration parameters can describe translational or rotational movements of the endoscope in one or more axis, e.g., pitch and yaw, as well as a slope, hysteresis, or dead zone value corresponding to the endoscope's motion. The endoscope can include tubular components referred to as a sheath and leader. An instrument device manipulator of the surgical robotic system actuates pull wires coupled to the sheath or the leader, which causes the endoscope to articulate.

Patient Position Detection System

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US Patent:
20190239824, Aug 8, 2019
Filed:
Apr 17, 2019
Appl. No.:
16/387017
Inventors:
- Irvine CA, US
Peter Scott Housel - Irvine CA, US
Atiyeh Ghoreyshi - Foster City CA, US
Ammar Al-Ali - San Juan Capistrano CA, US
Massi Joe E. Kiani - Laguna Niguel CA, US
International Classification:
A61B 5/00
A61B 5/024
A61B 5/1455
A61B 5/11
A61B 5/01
A61B 5/0205
Abstract:
A patient movement detector can receive inputs from position sensors, a thermal imaging camera, a video camera, and/or triangulation data. Based on one or more of these inputs, the patient movement detector can perform one or more of the following: fall prevention detection, bedsore prevention analysis, patient location detection, and patient walk test scoring. The patient movement detector can, for example, output a fall warning alarm, a bedsore warning alarm, patient location information, and walk test scores.
Atiyeh S Ghoreyshi from San Francisco, CA, age ~42 Get Report