Shalabh Gupta

age ~47

from Manchester, CT

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Shalabh Gupta Phones & Addresses

Manchester, CT
Vernon Rockville, CT
2117 Plaza Dr, State College, PA 16801 • 8142359543
Storrs, CT

Work

Company:

Ames laboratory us department of energy
Apr 2007
Address:

Ames
Position:

Research scientist

Education

Degree:

Master of Technology (M.Tech.)
School / High School:

Indian Institute of Technology, Delhi
2001 to 2007
Specialities:

Analytical Chemistry

Skills

Materials Science • Chemistry • Analytical Chemistry • XRD • Characterization • Hydrogen Storage • Powder X-ray Diffraction • NMR • UV/Vis

Languages

Hindi

Industries

Chemicals

Resumes

Assistant Scientist Iii At Ames Laboratory- Us Department Of Energy

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Position:

Research Scientist at Ames Laboratory US Department of Energy

Location:

Ames, Iowa

Industry:

Chemicals

Work:

Ames Laboratory US Department of Energy - Ames since Apr 2007
Research Scientist
Ames Laboratory - Ames, IA Apr 2007 - Jun 2011
Post Doctoral Associate
Indian Institute of Technology, Delhi Dec 2003 - Apr 2007
Ph.D

Education:

Indian Institute of Technology, Delhi 2001 - 2007
Master of Technology (M.Tech.), Analytical Chemistry Banaras Hindu University 1998 - 2000
M.Sc., Physical and Materials Chemistry

Skills:

Materials Science
Chemistry
Analytical Chemistry
XRD
Characterization
Hydrogen Storage
Powder X-ray Diffraction
NMR
UV/Vis

Languages:

Hindi

Name / Title

Company / Classification

Phones & Addresses

Shalabh Gupta
Treasurer

METZ BAKING COMPANY

Us Patents

Optimal Sensor Selection And Fusion For Heat Exchanger Fouling Diagnosis In Aerospace Systems
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US Patent:

20200408669, Dec 31, 2020
Filed:

Sep 16, 2020
Appl. No.:

17/022742
Inventors:

- Storrs CT, US
Shalabh Gupta - Manchester CT, US
James Z. Hare - Coventry CT, US
Gregory R. Leaper - Bloomfield CT, US
Paul M. D'Orlando - Simsbury CT, US
Rhonda Walthall - Escondido CA, US
Krishna Pattipati - Storrs CT, US
International Classification:

G01N 17/00
F28F 27/00
B64D 13/06
Abstract:

A system and method that determines whether a heat exchanger within a complex networked system is fouling is provided. The system and method includes training classifiers indicative of a plurality of fouling conditions associated with the heat exchanger and testing the classifiers with optimal sensor data from optimal sensors to determine whether the fouling is being experienced by the heat exchanger.

Optimal Sensor Selection And Fusion For Heat Exchanger Fouling Diagnosis In Aerospace Systems
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US Patent:

20160320291, Nov 3, 2016
Filed:

Apr 30, 2015
Appl. No.:

14/700769
Inventors:

- Storrs CT, US
Shalabh Gupta - Manchester CT, US
James Z. Hare - Willington CT, US
Gregory R. Leaper - Bloomfield CT, US
Paul M. D'Orlando - Simsbury CT, US
International Classification:

G01N 17/00
Abstract:

A system and method that determines whether a heat exchanger within a complex networked system is fouling is provided. The system and method includes training classifiers indicative of a plurality of fouling conditions associated with the heat exchanger and testing the classifiers with optimal sensor data from optimal sensors to determine whether the fouling is being experienced by the heat exchanger.

Wavelet-Based Analysis For Fouling Diagnosis Of An Aircraft Heat Exchanger
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US Patent:

20160305865, Oct 20, 2016
Filed:

Apr 17, 2015
Appl. No.:

14/689467
Inventors:

- Windsor Locks CT, US
Nayeff A. Najjar - Willington CT, US
Shalabh Gupta - Manchester CT, US
Paul M. D'Orlando - Simsbury CT, US
Rhonda Dawn Walthall - Escondido CA, US
International Classification:

G01N 17/00
F28F 27/00
Abstract:

A method and apparatus for estimating a fouling state of a heat exchanger of an aircraft. Training sensor measurements are obtained of a parameter related to operation of the heat exchanger and a wavelet transform is applied to the training sensor measurements to obtain wavelet data. Data reduction is performed on the wavelet data to obtain representative features indicative of the training sensor measurements. A classifier is then trained to assign suitable fouling classes to the representative features. The trained classifier is used on testing sensor measurements from the heat exchanger to assign a fouling class to the testing sensor measurements in order to estimate the fouling state of the heat exchanger.