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Michael A Piacentino

from Los Angeles, CA
Age ~50
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Also known as:
Michael A Placentino, Mike Piacentino, Piacentino Piacentino, Michael O, Micheal O, Monica Ledezma
Phone and address:
1847 W 84Th St, Los Angeles, CA 90047
(310) 463-4208
Related to:
Franklin E KohirimeKimberly A Piacentino, 51Elizabeth M Stewart, 48Maryellen Murray, 70Matthew T Grosso, 45Charles A Piacentino, 53Amy T Grosso, 47Terrie A Piacentino, 76Lucco T Grosso, 80
Connected to:
Angela M Piacentini, 42Anna Piacentino, 96Elaine M Piacente, 73Estela M Piacente, 63Gary P Piacentini, 61Gary L Piacente, 66Gregory J Piacente, 74Laura B Piacenti, 56Louis Piacente, 84Marc A Piacentini, 39

Michael Piacentino Phones & Addresses

  • 1847 W 84Th St, Los Angeles, CA 90047 (310) 463-4208
  • 3836 Prospect Ave, Culver City, CA 90232 (310) 876-1726
  • Newtown Square, PA
  • 2501 Pico Blvd, Santa Monica, CA 90405 (310) 828-9531
  • 2200 Benjamin Franklin Pkwy, Philadelphia, PA 19130 (215) 751-9099
  • West Chester, PA
  • Blackwood, NJ
  • 3836 Prospect Ave APT 5, Culver City, CA 90232 (310) 876-1726

Work

Position: Clerical/White Collar

Education

Degree: Associate degree or higher

Emails

m***[email protected]

Resumes

Resumes

Michael Piacentino Photo 1

Postdoctoral Scholar

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Location:
1063 east Orange Grove Blvd, Pasadena, CA 91104
Industry:
Research
Work:
Boston University Sep 2010 - Jan 2016
Molecular Biology, Cell Biology and Biochemistry Graduate Student
Caltech Sep 2010 - Jan 2016
Postdoctoral Scholar
Mcgill University Sep 2006 - May 2010
Bachelors of Science
Mcgill University Jan 2009 - Nov 2009
Research Volunteer
Ad4-Pharma 2009 - 2009
Research Assistant
Education:
Boston University 2010 - 2016
Doctorates, Masters, Master of Arts, Doctor of Philosophy, Molecular Biology, Biology, Biochemistry Marine Biological Laboratory 2014 - 2014
Mcgill University 2006 - 2010
Bachelors, Bachelor of Science, Biology, Anatomy
Skills:
Biochemistry
Molecular Biology
Cell Biology
Molecular Cloning
Rna Isolation
Developmental Biology
Immunohistochemistry
Confocal Microscopy
Qpcr
In Situ Hybridization
Tissue Culture
Molecular and Cellular Biology
Laboratory
Assay Development
Cell Culture
Rt Pcr
Fluorescence Microscopy
Immunofluorescence
Interests:
Education
Environment
Science and Technology
Human Rights
Animal Welfare
Health
Languages:
English
Spanish
Michael Piacentino Photo 2

Owner At Frek

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Location:
Greater Los Angeles Area
Industry:
Apparel & Fashion

Publications

Us Patents

Low Latency Pyramid Processor For Image Processing Systems

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US Patent:
20050265633, Dec 1, 2005
Filed:
May 25, 2005
Appl. No.:
11/136908
Inventors:
Michael Piacentino - Robbinsville NJ, US
Gooitzen Siemen van der Wal - Hopewell NJ, US
Peter Burt - Princeton NJ, US
James Bergen - Hopewell NJ, US
International Classification:
G06K009/36
G06K009/46
G06K009/40
G06K009/32
US Classification:
382302000, 382265000, 382294000, 382240000
Abstract:
A video processor that uses a low latency pyramid processing technique for fusing images from multiple sensors. The imagery from multiple sensors is enhanced, warped into alignment, and then fused with one another in a manner that provides the fusing to occur within a single frame of video, i.e., sub-frame processing. Such sub-frame processing results in a sub-frame delay between a moment of capturing the images to the display of the fused imagery.

Microscopy System Utilizing A Plurality Of Images For Enhanced Image Processing Capabilities

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US Patent:
63134527, Nov 6, 2001
Filed:
Dec 21, 1998
Appl. No.:
9/217315
Inventors:
Vincent Paragano - Lawrenceville NJ
Douglas Fremont Dixon - Hopewell NJ
Michael R. Piacentino - Princeton NJ
Rakesh Kumar - Monmouth Jct. NJ
Harpreet S. Sawhney - Cranbury NJ
Lambert E. Wixson - Rocky Hill NJ
Assignee:
Sarnoff Corporation - Princeton NJ
International Classification:
G02B 2764
US Classification:
2502013
Abstract:
A microscopy system comprising a microscope including a stage, at least one magnifying lens, and a lens controller, a video capture device coupled to the microscope capturing a plurality of images of an object on the stage of the microscope and a processing subsystem receiving the plurality of images from the video capture device, in which the processing subsystem generates at least one resultant image as a function of the plurality of images. The at least one resultant image generated by the processing subsystem may include a mosaic, submosaic or a sequence of mosaics.

Edge Device Having A Heterogenous Neuromorphic Computing Architecture

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US Patent:
20220198782, Jun 23, 2022
Filed:
Dec 16, 2021
Appl. No.:
17/553239
Inventors:
- Menlo Park CA, US
Michael R. PIACENTINO - Robbinsville NJ, US
Aswin NADAMUNI RAGHAVAN - Pennington NJ, US
International Classification:
G06V 10/774
G06N 3/04
G06N 3/08
Abstract:
An edge device comprising a feature extractor and a reconfigurator. The feature extractor comprises a first neural network for encoding input information into data vectors and extracting particular data vectors representing features within the input information, wherein the first neural network comprises at least one encoder layer and at least one adaptor layer. The reconfigurator is coupled to the feature extractor and comprises a second neural network for classifying the particular data vectors and wherein, upon requiring additional features to be extracted, the reconfigurator adapts at least one layer in the first neural network, second neural network or both by performing at least one of: (1) altering weights, (2) adding layers, (3) deleting layers, (4) reordering layers to improve classification of particular data vector. The first neural network, the second neural network or both are trained using gradient-free training.

Hdr Image Capture And Display System For Enhanced Real-Time Welding Visualization And Assistance

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US Patent:
20200374510, Nov 26, 2020
Filed:
May 23, 2019
Appl. No.:
16/421022
Inventors:
- Menlo Park CA, US
- Tokyo, JP
Atsushi Homma - Suita-shi, JP
Noriyuki Kanehira - Utsunomiya-shi, JP
Tadahisa Tsuyama - Sakaide-shi, JP
Michael Piacentino - Robbinsville NJ, US
Gooitzen van der Wal - Hopewell NJ, US
Chiharu Yamaoka - Utsunomiya-shi, JP
David Zhang - Belle Mead NJ, US
International Classification:
H04N 13/361
H04N 13/156
H04N 13/239
H04N 13/344
H04N 13/398
H04N 5/235
G02B 27/01
G09B 19/24
G09B 5/02
B23K 9/095
B23K 9/32
Abstract:
A method, apparatus and system for enhanced welding visualization include splitting incoming light from the welding environment into at least a first optical path and a second optical path having different light levels using at least one beam splitter. Images of the split light having different light levels are captured using a respective imaging sensor. The images from the respective imaging sensors are fused to create a left-eye fused image and a right-eye fused image. The left-eye fused image is displayed on a display at a location of a left eye of a user and the right-eye fused image is displayed on a display at a location of a right eye of the user to provide a parallax-free, high dynamic range, representation of the welding environment.

Selecting Optimal Image From Mobile Device Captures

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US Patent:
20190356844, Nov 21, 2019
Filed:
Aug 2, 2019
Appl. No.:
16/530774
Inventors:
- Menlo Park CA, US
John Benjamin Southall - Philadelphia PA, US
Michael Anthony Isnardi - Plainsboro NJ, US
Michael Raymond Piacentino - Robbinsville NJ, US
David Christopher Berends - Skillman NJ, US
Girish Acharya - Redwood City CA, US
Douglas A. Bercow - Menlo Park CA, US
Aaron Spaulding - Menlo Park CA, US
Sek Chai - Princeton NJ, US
International Classification:
H04N 5/232
G06T 7/11
A61B 5/00
G06K 9/62
G06T 5/20
G06K 9/00
H04N 5/235
G06K 9/03
G06T 7/00
Abstract:
Embodiments of the disclosed technologies include a method of capturing, using a mobile device, a best-focused image of a skin surface of a subject, the method including: setting a camera of the mobile device to a fixed focal length; capturing, using the camera, a current image of a plurality of images of the skin surface, the plurality of images having a sequence and including a first previous image captured, using the camera, previously to the current image and a second previous image captured, using the camera, previously to the first previous image; producing a modified image from the current image; transforming the modified image, using a Laplacian pyramid, to produce a plurality of first luminance values from the modified image and a plurality of second luminance values from the plurality of first luminance values; averaging a plurality of first squared values, each including a square of a corresponding first luminance value of the plurality of first luminance values, to produce a first energy value; averaging a plurality of second squared values, each including a square of a corresponding second luminance value of the plurality of second luminance values, to produce a second energy value; calculating a first ratio of the first energy value to the second energy value; calculating, as an average first energy value of the first previous image, an average of the first energy value, a corresponding first energy value of the first previous image, and a corresponding first energy value of the second previous image; calculating, as an average first ratio of the first previous image, an average of the first ratio, a corresponding first ratio of the first previous image, and a corresponding first ratio of the second previous image; determining that the first previous image is one of a plurality of valid images, where each valid image of the plurality of valid images is an image of the plurality of images and has: a corresponding average first energy value above an energy threshold value; and a corresponding average first ratio approximately equal to 1.0; determining that a first valid image of the plurality of valid images is the best-focused image, where the first valid image has a corresponding average first energy value that is greater than the corresponding average first energy values of: a previous valid image captured immediately before the first valid image; and a subsequent valid image captured immediately after the first valid image; and performing an action associated with the best-focused image.

Multiple Window, Multiple Mode Image Sensor

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US Patent:
20190238765, Aug 1, 2019
Filed:
Apr 4, 2019
Appl. No.:
16/375059
Inventors:
- Menlo Park CA, US
Michael Raymond Piacentino - Robbinsville NJ, US
International Classification:
H04N 5/355
H01L 27/146
H04N 5/374
H04N 5/353
H04N 5/378
Abstract:
Systems, Methods, and Apparatuses for an image sensor and a control system to cooperate with each photodiode in individual pixels to allow multiple pixels in a set of pixels to operate in a different imaging-mode of operation simultaneously within multiple window regions of the image. The image sensor has multiple window regions each capable of operating in different operating modes. Each pixel contains multiple photodiodes. The imager is fabricated with an additional semiconductor layer containing one or more metallization layers for interconnections and providing active CMOS circuits for control.

Selecting Optimal Image From Mobile Device Captures

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US Patent:
20180139377, May 17, 2018
Filed:
Jan 19, 2016
Appl. No.:
15/573325
Inventors:
- Menlo Park CA, US
John Benjamin SOUTHALL - Philadelphia PA, US
Michael Anthony ISNARDI - Plainsboro NJ, US
Michael Raymond PIACENTINO - Robbinsville NJ, US
David Christopher BERENDS - Skillman NJ, US
Girish ACHARYA - Redwood City CA, US
Douglas A. BERCOW - Menlo Park CA, US
Aaron SPAULDING - Menlo Park CA, US
Sek CHAI - Princeton NJ, US
International Classification:
H04N 5/232
G06K 9/62
G06T 7/11
G06T 5/20
A61B 5/00
Abstract:
Device logic in a mobile device configures a processor to capture a series of images, such as a video, using a consumer-grade camera, and to analyze the images to determine the best-focused image, of the series of images, that captures a region of interest. The images may be of a textured surface, such as facial skin of a mobile device user. The processor sets a focal length of the camera to a fixed position for collecting the images. The processor may guide the user to position the mobile device for capturing the images, using audible cues. For each image, the processor crops the image to the region of interest, extracts luminance information, and determines one or more energy levels of the luminance via a Laplacian pyramid. The energy levels may be filtered, and then are compared to energy levels of the other images to determine the best-focused image.
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Michael A Piacentino from Los Angeles, CA, age ~50 Get Report