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Animesh Khemka

from Fremont, CA
Age ~47
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Also known as:
Animesh H
Phone and address:
48492 Ursa Dr, Fremont, CA 94539
(510) 270-8452
Related to:
Dinesh Khemka, 72
Connected to:
Rohit Khemka, 46Amit Khemlani, 45Arun N Khemlani, 54Kunal V Khemlani, 38Purnima Khemraj, 58Seksan S Khemthong, 79Choon Y Kheng, 82Ly Kheng, 70Tang Kheng, 51Wei H Kheng, 36

Animesh Khemka Phones & Addresses

  • 48492 Ursa Dr, Fremont, CA 94539 (510) 270-8452
  • West Lafayette, IN
  • San Jose, CA
  • 536 Whiting St, Grass Valley, CA 95945 (530) 477-0903
  • Alameda, CA
  • W Lafayette, IN
  • 281 E Warren Ave, Fremont, CA 94539

Resumes

Resumes

Animesh Khemka Photo 1

Senior Software Engineer

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Location:
48492 Ursa Dr, Fremont, CA 94539
Industry:
Computer Software
Work:
Nvidia
Senior Software Engineer
Intel Corporation 2014 - 2016
Imaging System Software Engineer
Kla-Tencor 2010 - 2014
Algorithm Engineer
Eigen 2006 - 2010
Clinical Engineer Manager
Education:
Purdue University 2001 - 2006
Doctorates, Doctor of Philosophy Indian Institute of Technology, Kharagpur 1997 - 2001
Bachelors, Bachelor of Technology Hitendra Leela Patranavis School
Bachelors, Bachelor of Science
Skills:
Image Processing
Computer Vision
Machine Learning
Algorithms
C++
C
Matlab
Signal Processing
Embedded Systems
Semiconductors
Digital Signal Processors
R&D
Simulations
Labview
Electronics
Pattern Recognition
Languages:
English
Hindi
Animesh Khemka Photo 2

Animesh Khemka

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Location:
Lafayette, IN
Industry:
Research
Animesh Khemka Photo 3

Animesh Khemka

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Location:
Lafayette, IN
Industry:
Computer Software

Publications

Us Patents

Universal Ultrasound Holder And Rotation Device

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US Patent:
7942060, May 17, 2011
Filed:
Mar 26, 2007
Appl. No.:
11/691150
Inventors:
Jasjit Suri - Roseville CA, US
Kanwar Suri - Thousand Oaks CA, US
Animesh Khemka - Grass Valley CA, US
Dinesh Kumar - Grass Valley CA, US
Assignee:
Eigen, Inc. - Grass Valley CA
International Classification:
G01N 29/22
G01N 29/04
G01N 29/26
A61B 8/00
A61B 8/13
US Classification:
73661, 73618, 73644, 600445, 600459
Abstract:
Provided herein are devices and methods for mounting variously configured medical imaging probes for imaging applications. In one aspect, a holding device allows for interfacing/holding most conventional ultrasound probes such that the probes may be attached to a positioning device using a common interface. As ultrasound probes come in various sizes and lengths, the device may adjust to different lengths, widths and shapes of different probes. Hence, the device may work in a substantially universal manner while securely holding probes with little wobble or other problems.

Tracker Holder Assembly

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US Patent:
20080249403, Oct 9, 2008
Filed:
Sep 5, 2007
Appl. No.:
11/850482
Inventors:
Jasjit S. Suri - Roseville CA, US
Dinesh Kumar - Grass Valley CA, US
Animesh Khemka - Grass Valley CA, US
International Classification:
A61B 8/00
US Classification:
600437
Abstract:
Provided herein are devices and methods for mounting variously configured medical imaging probes to a tracker assembly for imaging applications. In one aspect, a tracker assembly provides multiple degrees of freedom for positioning a probe relative to a patient and/or maintaining a probe in a desired location for imaging purposes. The tracker generates location information that may be utilized as frame of reference information for acquired images. In another aspect a holding device allows for interfacing/holding differently configured probes in a common orientation to a predetermined frame of reference.

Holder Assembly For A Medical Imaging Instrument

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US Patent:
20090227874, Sep 10, 2009
Filed:
Nov 6, 2008
Appl. No.:
12/265940
Inventors:
Jasjit S. Suri - Roseville CA, US
Dinesh Kumar - Grass Valley CA, US
Animesh Khemka - Grass Valley CA, US
Assignee:
EIGEN, INC. - Grass Valley CA
International Classification:
A61B 8/14
US Classification:
600459
Abstract:
Provided herein are devices and methods for mounting variously configured medical imaging probes (“ultrasound probes”) to a positioning device for imaging applications. One aspect provides a probe holder that has a recessed surface adapted to securely support a particular ultrasound probe for interfacing the probe with a positioning device. Another aspect provides a probe holder that interconnects with a flexible joint to allow the probe holder to securely support a variety of different ultrasound probes and interface those probes with a positioning device.

3-D Self-Correcting Freehand Ultrasound Tracking System

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US Patent:
20110184684, Jul 28, 2011
Filed:
Mar 7, 2011
Appl. No.:
13/041990
Inventors:
Lu Li - Sunnyvale CA, US
Animesh Khemka - San Jose CA, US
Assignee:
EIGEN, INC. - Grass Valley CA
International Classification:
G06F 19/00
US Classification:
702 94
Abstract:
This application presents a new system and method for image acquisition of internal human tissue, including but not limited to the prostate, as well as a system and method for the guidance and positioning of medical devices relative to the internal tissue. In the presented systems and methods, ultrasound scanned data (e.g., 2-D B-mode images) are acquired freehand absent a mechanical armature that constrains an ultrasound acquisition probe in a known spatial framework. To allow for reconstruction of the scanned data into a 3-D image, multiple tracker sensors that provide position/location information are used with a freehand acquisition probe (e.g., handheld ultrasound probe). The position of such tracker sensors can be calculated when disposed in an electromagnetic field.

Weighted Normalized Automatic White Balancing

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US Patent:
20220414831, Dec 29, 2022
Filed:
Sep 6, 2022
Appl. No.:
17/903290
Inventors:
- Santa Clara CA, US
Eric Dujardin - San Jose CA, US
Animesh Khemka - Fremont CA, US
Yining Deng - Fremont CA, US
International Classification:
G06T 5/00
B60R 11/04
G05B 13/02
G05D 1/00
G06N 3/04
G05D 1/02
G06T 7/90
Abstract:
In order to more accurately white balance an image, weightings can be determined for pixels of an image when computing an illuminant color value of the image and/or a scene. The weightings can be based at least in part on the Signal-to-Noise Ratio (SNR) of the pixels. The SNR may be actual SNR or SNR estimated from brightness levels of the pixels. SNR weighting (e.g., SNR adjustment) may reduce the effect of pixels with high noise on the computed illuminant color value. For example, one or more channel values of the illuminant color value can be determined based on the weightings and color values of the pixels. One or more color gain values can be determined based on the one or more channel values of the illuminant color value and used to white balance the image.

Weighted Normalized Automatic White Balancing

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US Patent:
20200226720, Jul 16, 2020
Filed:
Jan 14, 2020
Appl. No.:
16/742322
Inventors:
- Santa Clara CA, US
Eric Dujardin - San Jose CA, US
Animesh Khemka - Fremont CA, US
Yining Deng - Fremont CA, US
International Classification:
G06T 5/00
G06T 7/90
G05B 13/02
G06N 3/04
G05D 1/00
G05D 1/02
B60R 11/04
Abstract:
In order to more accurately white balance an image, weightings can be determined for pixels of an image when computing an illuminant color value of the image and/or a scene. The weightings can be based at least in part on the Signal-to-Noise Ratio (SNR) of the pixels. The SNR may be actual SNR or SNR estimated from brightness levels of the pixels. SNR weighting (e.g., SNR adjustment) may reduce the effect of pixels with high noise on the computed illuminant color value. For example, one or more channel values of the illuminant color value can be determined based on the weightings and color values of the pixels. One or more color gain values can be determined based on the one or more channel values of the illuminant color value and used to white balance the image.

Digital Camera Simulation Using Spatially Varying Psf Convolutions

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US Patent:
20160259758, Sep 8, 2016
Filed:
Mar 4, 2015
Appl. No.:
14/637677
Inventors:
Animesh Khemka - Fremont CA, US
International Classification:
G06F 17/14
Abstract:
A spatially varying PSF may be applied in a camera simulator by multiplying a fixed weight map by its impact region. Next, Fast Fourier Transform (FFT) both IWand A, multiply the FFT results element by element and do an inverse FFT (IFFT) to bring the results back to spatial domain. The output image is exactly the same as the outcome of direct approach with the same interpolation method for spatially varying PSF. However, the operation now will be significantly faster in some embodiments.
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Animesh Khemka from Fremont, CA, age ~47 Get Report