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Mustafa Uzunbas Phones & Addresses

  • Lexington, MA
  • Cambridge, MA
  • Niskayuna, NY
  • Albany, NY
  • Chestnut Hill, MA
  • Piscataway, NJ
  • Plainsboro, NJ
  • Princeton, NJ

Publications

Us Patents

Cloud-Based Machine Learning System And Data Fusion For The Prediction And Detection Of Corrosion Under Insulation

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US Patent:
20200217777, Jul 9, 2020
Filed:
Jan 13, 2020
Appl. No.:
16/741139
Inventors:
- Dhahran, SA
- Menlo Park CA, US
Ayman Amer - Thuwal, SA
Mustafa Uzunbas - Niskayuna NY, US
Ahmad Aldabbagh - Thuwal, SA
Muhammad Ababtain - Thuwal, SA
Vincent Cunningham - Thuwal, SA
International Classification:
G01N 17/00
G01N 21/956
G06N 3/04
G06K 9/62
G06N 3/08
G01N 17/04
Abstract:
A system for predicting corrosion under insulation (CUI) in an infrastructure asset includes at least one infrared camera positioned to capture thermal images of the asset, at least one smart mount supporting and electrically coupled to the at least one infrared camera and including a wireless communication module, memory storage, a battery module operative to recharge the at least one infrared camera, an ambient sensor module adapted to obtain ambient condition data and a structural probe sensor to obtain CUI-related data from the asset. At least one computing device has a wireless communication module that communicates with the at least one smart mount and is configured with a machine learning algorithm that outputs a CUI prediction regarding the asset. A cloud computing platform receive and stores the received data and the prediction output and to receive verification data for updating the machine learning algorithm stored on the computing device.

Machine Learning System And Data Fusion For Optimization Of Deployment Conditions For Detection Of Corrosion Under Insulation

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US Patent:
20200074616, Mar 5, 2020
Filed:
Jan 23, 2019
Appl. No.:
16/254831
Inventors:
- Dhahran, SA
- Menlo Park CA, US
Ayman Amer - Thuwal, SA
Mustafa Uzunbas - Niskayuna NY, US
Ahmad Aldabbagh - Thuwal, SA
Muhammad Ababtain - Thuwal, SA
Vincent Cunningham - Thuwal, SA
John Boot - Boston MA, US
Godine Kok Yan Chan - Boston MA, US
International Classification:
G06T 7/00
G01N 17/00
G06N 20/00
G06K 9/62
Abstract:
A system for predicting corrosion under insulation (CUI) in an infrastructure asset includes at least one infrared camera positioned to capture thermal images of the asset, at least one smart mount supporting and electrically coupled to the at least one infrared camera and including a wireless communication module, memory storage, a battery module operative to recharge the at least one infrared camera, an ambient sensor module adapted to obtain ambient condition data and a structural probe sensor to obtain CUI-related data from the asset. At least one computing device has a wireless communication module that communicates with the at least one smart mount and is configured with a machine learning algorithm that outputs a CUI prediction regarding the asset. A cloud computing platform receive and stores the received data and the prediction output and to receive verification data for updating the machine learning algorithm stored on the computing device.

Robotic Sensing Apparatus And Methods Of Sensor Planning

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US Patent:
20180117760, May 3, 2018
Filed:
Nov 3, 2016
Appl. No.:
15/342500
Inventors:
- Schenectady NY, US
David Scott Diwinsky - West Chester OH, US
Xiao Bian - Schenectady NY, US
Wayne Ray Grady - Hamilton OH, US
Mustafa Gokhan Uzunbas - Albany NY, US
Mustafa Devrim Kaba - Schenectady NY, US
International Classification:
B25J 9/16
Abstract:
The present disclosure is directed to a computer-implemented method of sensor planning for acquiring samples via an apparatus including one or more sensors. The computer-implemented method includes defining, by one or more computing devices, an area of interest; identifying, by the one or more computing devices, one or more sensing parameters for the one or more sensors; determining, by the one or more computing devices, a sampling combination for acquiring a plurality of samples by the one or more sensors based at least in part on the one or more sensing parameters; and providing, by the one or more computing devices, one or more command control signals to the apparatus including the one or more sensors to acquire the plurality of samples of the area of interest using the one or more sensors based at least on the sampling combination.
Mustafa Gokhan Uzunbas from Lexington, MA, age ~41 Get Report