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Abhishek Srivastav

from San Ramon, CA
Age ~62
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Also known as:
Abhishek Srivaseav, K Srivastav
Phone and address:
2120 Bent Creek Dr, San Ramon, CA 94582
(814) 574-5680
Connected to:
Abha Srivastava, 64Akshay Srivastava, 42Alaka Srivastava, 64Alyssa M Srivastava, 44Anita Srivastava, 76Anshika C Srivastava, 52Anshul Srivastava, 45Anubha Srivastav, 36Anuranjan Srivastava, 49Anushree Srivastava, 39

Abhishek Srivastav Phones & Addresses

  • 2120 Bent Creek Dr, San Ramon, CA 94582 (814) 574-5680
  • Dublin, CA
  • Manchester, CT
  • State College, PA
  • Tempe, AZ

Resumes

Resumes

Abhishek Srivastav Photo 1

Senior Scientist

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Location:
San Francisco, CA
Industry:
Research
Work:
Ge Global Research
Senior Scientist
Ge Global Research Apr 2013 - Mar 2016
Machine Learning Researcher
United Technologies Research Center Nov 2010 - Mar 2013
Senior Research Scientist
Penn State University Jan 2010 - Oct 2010
Postdoctoral Research Scholar
Intel Corporation Aug 2004 - Dec 2009
Research Assistant
Education:
Penn State University 2003 - 2009
Master of Science, Doctorates, Master of Arts, Masters, Doctor of Philosophy, Mathematics, Mechanical Engineering Indian Institute of Technology, Kanpur 1999 - 2003
Bachelors, Bachelor of Technology, Mechanical Engineering
Skills:
Diagnostics
Data Mining
Machine Learning
Algorithms
Artificial Intelligence
Mathematical Modeling
Matlab
Robotics
Time Series Analysis
Python
Simulations
Signal Processing
Statistics
R&D
Interests:
Prognostics and Health Management (Phm)
Machine Learning
Graphical Models
Data Mining
Sensor Networks and Photography
Abhishek Srivastav Photo 2

Team Leader

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Industry:
Civic & Social Organization
Work:
Aegis Bpo
Team Leader
Skills:
Microsoft Office
Management
Microsoft Excel
Microsoft Word
Research
Powerpoint
Sales
Leadership
Training
Photoshop
Abhishek Srivastav Photo 3

Abhishek Srivastav

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Abhishek Srivastav

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Abhishek Srivastav Photo 5

Abhishek Srivastav

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Abhishek Srivastav

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Abhishek Srivastav Photo 7

Abhishek Srivastav

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Publications

Us Patents

Method And System For Competence Monitoring And Contiguous Learning For Control

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US Patent:
20200192306, Jun 18, 2020
Filed:
Dec 17, 2018
Appl. No.:
16/222279
Inventors:
- Schenectady NY, US
Abhishek SRIVASTAV - San Ramon CA, US
International Classification:
G05B 13/02
Abstract:
According to some embodiments, system and methods are provided, comprising a competence module to receive data from at least one data source; a memory for storing program instructions; a competence processor, coupled to the memory, and in communication with the competence module, and operative to execute program instructions to: receive an objective; select a machine learning model associated with the objective; receive data from the at least one data source; determine at least one next input based on the received data; determine whether the at least one next input is in a competent region or is in an incompetent region of the machine learning model; when the at least one next input is inside the competent region, generate an output of the machine learning model; determine an estimate of uncertainty for the generated output of the machine learning model; when the uncertainty is below an uncertainty threshold, determine the machine learning model is competent and when the uncertainty is above the uncertainty threshold, determine the machine learning model is incompetent; and operate the physical asset based on the state of the machine learning model, where the state is one of competent and incompetent. Numerous other aspects are provided.

Method And System For Detection Of Hvac Anomalies At The Component Level

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US Patent:
20190041078, Feb 7, 2019
Filed:
Jul 30, 2018
Appl. No.:
16/048906
Inventors:
- Schenectady NY, US
Jianbo YANG - San Ramon CA, US
Abhishek SRIVASTAV - San Ramon CA, US
James JOBIN - San Ramon CA, US
International Classification:
F24F 11/38
G06N 3/04
G06N 3/08
F24F 11/63
Abstract:
A system and method including, for each component of a system, defining filter flags that identify measurements that correspond to a particular operating condition of the respective component, the identified measurements being sensor measurements relevant to build a predictive model of expected output for each component of the system; defining input sensors for each of the components; defining at least one output sensor for each of the components; filtering data from the system based on the defined filter flags for each respective component; building, based on the defined input sensors for each respective component, a predictive model for the defined output sensor; determining a divergence between actual data values and expected values predicted by the model for each respective component; determining a component-specific anomaly score for each component of the system; and storing a record of the component-specific anomaly score for each component of the system.

Text-Mining Approach For Diagnostics And Prognostics Using Temporal Multidimensional Sensor Observations

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US Patent:
20160161375, Jun 9, 2016
Filed:
Jun 30, 2015
Appl. No.:
14/788526
Inventors:
- Schenectady NY, US
Mohak Shah - San Ramon CA, US
Abhishek Srivastav - San Ramon CA, US
International Classification:
G01M 99/00
Abstract:
A system and method for text-mining to conduct diagnostics and prognostics using temporal multi-dimensional sensor observations is disclosed. A computer device stores historical time-series data for a plurality of systems. The computer device collects current time-series data from one or more sensors of a first system. The computer device compares the current time-series data to the historical time-series data to identify patterns in both the current time-series data and the historical time-series data. The computer device generates a failure likelihood prediction for the first system based on the identified patterns in the current time-series data and the historical time-series data.
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Abhishek Srivastav from San Ramon, CA, age ~62 Get Report