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John Lesoine

from San Jose, CA

John Lesoine Phones & Addresses

  • San Jose, CA

Work

  • Company:
    Nanometrics
    Nov 2017
  • Position:
    Staff systems engineer

Education

  • Degree:
    Doctorates, Doctor of Philosophy
  • School / High School:
    University of Rochester
    2003 to 2010

Skills

Optics • Physics • Photonics • Matlab • Thin Films • Spectroscopy • Labview • Characterization • Nanotechnology • Semiconductors • Simulations • Latex • Fluorescence Microscopy • Lithography • Biomedical Engineering • Optical Engineering • R&D • Sensors • Confocal Microscopy • Metrology • Research • Testing • Design of Experiments • Science • Product Development • Failure Analysis • Signal Processing • Uv Lithography • Experimentation • Image Processing • Laser • Microscopy • Engineering • Photolithography • Laser Physics • Semiconductor Industry • Systems Engineering • Algorithms • Spc • Ellipsometry • Jmp • Numerical Analysis • Programming • Fluorescence Spectroscopy • Fret • Fluorescence • Scanning Electron Microscopy • Tem • Optical Microscopy

Languages

English • German

Interests

Kayaking • Children • Skiing • Experimental Design • Canoeing • Barbecueing • Economic Empowerment • See 1 • Hammer Throwing • See Less • Education • Hiking • Science and Technology • Dining Out • Health • Digital Photography • Ice Cream Making • Bayesian Probability Theory

Industries

Semiconductors

Resumes

John Lesoine Photo 1

System Design Engineer

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Location:
Milpitas, CA
Industry:
Semiconductors
Work:
Nanometrics
Staff Systems Engineer

Kla-Tencor Apr 1, 2015 - Nov 2017
Senior System Design Engineer: Lead Engineer

Kla-Tencor Sep 2014 - Apr 2015
Senior Product Development Engineer

Kla-Tencor Jul 2012 - Sep 2014
Product Development Engineer

National Institute of Standards and Technology May 2010 - May 2012
Nrc Arra Postdoc
Education:
University of Rochester 2003 - 2010
Doctorates, Doctor of Philosophy
Moravian College 1999 - 2003
Bachelors, Bachelor of Science, Physics
East Stroudsburg Senior High School 1999
Skills:
Optics
Physics
Photonics
Matlab
Thin Films
Spectroscopy
Labview
Characterization
Nanotechnology
Semiconductors
Simulations
Latex
Fluorescence Microscopy
Lithography
Biomedical Engineering
Optical Engineering
R&D
Sensors
Confocal Microscopy
Metrology
Research
Testing
Design of Experiments
Science
Product Development
Failure Analysis
Signal Processing
Uv Lithography
Experimentation
Image Processing
Laser
Microscopy
Engineering
Photolithography
Laser Physics
Semiconductor Industry
Systems Engineering
Algorithms
Spc
Ellipsometry
Jmp
Numerical Analysis
Programming
Fluorescence Spectroscopy
Fret
Fluorescence
Scanning Electron Microscopy
Tem
Optical Microscopy
Interests:
Kayaking
Children
Skiing
Experimental Design
Canoeing
Barbecueing
Economic Empowerment
See 1
Hammer Throwing
See Less
Education
Hiking
Science and Technology
Dining Out
Health
Digital Photography
Ice Cream Making
Bayesian Probability Theory
Languages:
English
German

Us Patents

  • Beamsplitter Based Ellipsometer Focusing System

    view source
  • US Patent:
    20210096062, Apr 1, 2021
  • Filed:
    Oct 1, 2019
  • Appl. No.:
    16/590373
  • Inventors:
    - WILMINGTON MA, US
    John F. Lesoine - San Jose CA, US
  • International Classification:
    G01N 21/21
    G02B 7/28
    G01J 3/02
  • Abstract:
    An ellipsometer includes a focusing system that uses an image of the measurement spot to determine a best focal position for the ellipsometer. The focus signal is produced by splitting off the ellipsometer measurement spot before the signal is analyzed by a polarizer thereby avoiding imagining the spot with a modulated intensity. The focus signal is imaged on a sensor array and based on the position of the spot on the sensor array, the focal position of the ellipsometer may be determined. A single image may be used to determine the focal position of the ellipsometer permitting a real time focus position measurement.
  • Bandgap Measurements Of Patterned Film Stacks Using Spectroscopic Metrology

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  • US Patent:
    20190041266, Feb 7, 2019
  • Filed:
    Aug 8, 2017
  • Appl. No.:
    15/672120
  • Inventors:
    - Milpitas CA, US
    Aaron Rosenberg - Milpitas CA, US
    Dawei Hu - Milpitas CA, US
    Alexander Kuznetsov - Milpitas CA, US
    Manh Dang Nguyen - Milpitas CA, US
    Stilian Pandev - Santa Clara CA, US
    John Lesoine - Milpitas CA, US
    Qiang Zhao - Milpitas CA, US
    Liequan Lee - Fremont CA, US
    Houssam Chouaib - San Jose CA, US
    Ming Di - Hayward CA, US
    Torsten R. Kaack - Los Altos CA, US
    Andrei V. Shchegrov - Campbell CA, US
    Zhengquan Tan - Milpitas CA, US
  • International Classification:
    G01J 3/18
    G01J 3/28
  • Abstract:
    A spectroscopic metrology system includes a spectroscopic metrology tool and a controller. The controller generates a model of a multilayer grating including two or more layers, the model including geometric parameters indicative of a geometry of a test layer of the multilayer grating and dispersion parameters indicative of a dispersion of the test layer. The controller further receives a spectroscopic signal of a fabricated multilayer grating corresponding to the modeled multilayer grating from the spectroscopic metrology tool. The controller further determines values of the one or more parameters of the modeled multilayer grating providing a simulated spectroscopic signal corresponding to the measured spectroscopic signal within a selected tolerance. The controller further predicts a bandgap of the test layer of the fabricated multilayer grating based on the determined values of the one or more parameters of the test layer of the fabricated structure.
  • Metrology System Calibration Refinement

    view source
  • US Patent:
    20180100796, Apr 12, 2018
  • Filed:
    Dec 8, 2017
  • Appl. No.:
    15/836160
  • Inventors:
    - Milpitas CA, US
    John Lesoine - San Jose CA, US
    Malik Sadiq - Walnut Creek CA, US
    Lanhua Wei - Fremont CA, US
    Shankar Krishnan - Santa Clara CA, US
    Leonid Poslavsky - Belmont CA, US
    Mikhail M. Sushchik - Pleasanton CA, US
  • International Classification:
    G01N 21/21
    G01N 21/95
    G01N 21/27
  • Abstract:
    Methods and systems for matching measurement spectra across one or more optical metrology systems are presented. The values of one or more system parameters used to determine the spectral response of a specimen to a measurement performed by a target metrology system are optimized. The system parameter values are optimized such that differences between measurement spectra generated by a reference system and the target system are minimized for measurements of the same metrology targets. Methods and systems for matching spectral errors across one or more optical metrology systems are also presented. A trusted metrology system measures the value of at least one specimen parameter to minimize model errors introduced by differing measurement conditions present at the time of measurement by the reference and target metrology systems. Methods and systems for parameter optimization based on low-order response surfaces are presented to reduce the compute time required to refine system calibration parameters.
  • Metrology System Calibration Refinement

    view source
  • US Patent:
    20140340682, Nov 20, 2014
  • Filed:
    May 15, 2014
  • Appl. No.:
    14/277898
  • Inventors:
    - Milpitas CA, US
    John Lesoine - San Jose CA, US
    Malik Sadiq - Walnut Creek CA, US
    Lanhua Wei - Fremont CA, US
    Shankar Krishnan - Santa Clara CA, US
    Leonid Poslavsky - Belmont CA, US
    Mikhail M. Sushchik - Castro Valley CA, US
  • International Classification:
    G01N 21/21
    G01N 21/95
  • US Classification:
    356369
  • Abstract:
    Methods and systems for matching measurement spectra across one or more optical metrology systems are presented. The values of one or more system parameters used to determine the spectral response of a specimen to a measurement performed by a target metrology system are optimized. The system parameter values are optimized such that differences between measurement spectra generated by a reference system and the target system are minimized for measurements of the same metrology targets. Methods and systems for matching spectral errors across one or more optical metrology systems are also presented. A trusted metrology system measures the value of at least one specimen parameter to minimize model errors introduced by differing measurement conditions present at the time of measurement by the reference and target metrology systems. Methods and systems for parameter optimization based on low-order response surfaces are presented to reduce the compute time required to refine system calibration parameters.

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John Lesoine Photo 2

John F. Lesoine

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Friends:
Heather Viera, Christina Illum Scherwin, Maury Molin, Kristi McQuade

Youtube

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