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Mathan Kumar Gopalsamy

from Stoneham, MA

Mathan Gopalsamy Phones & Addresses

  • Stoneham, MA
  • Medford, MA
  • Cambridge, MA
  • Tarrytown, NY
  • Briarcliff Manor, NY

Work

Company: Philips lighting Mar 2018 to May 2018 Position: Senior research scientist

Education

Degree: Master of Science, Masters School / High School: University of Stuttgart 2008 to 2011

Skills

Intellectual Property • Data Analytics • Data Visualization • Databases • Algorithms • Statistical Modeling • Machine Learning • Pattern Recognition • Signal Processing • Python • Embedded Systems • Embedded Software • Microcontrollers • Matlab • Weka • C • Tableau • R • Deep Learning • Big Data • Biomedical Applications • Biomedical Device Design • Lighting Control • Mvc Architecture • Mysql • Microsoft Sql Server • Javascript • Html • D3.Js • Angularjs • Vhdl • Rtos • Multivariate Analysis • C++ • C# • Systemc • Perl • Lua • Visual Basic • Big Data Analytics • Hadoop • Mapreduce • Embedded C

Languages

German • English

Industries

Research

Resumes

Resumes

Mathan Gopalsamy Photo 1

Senior Research Scientist

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Location:
46 Windsor Rd, Stoneham, MA 02180
Industry:
Research
Work:
Philips Lighting Mar 2018 - May 2018
Senior Research Scientist

Signify Mar 2018 - May 2018
Senior Research Scientist

Philips Jul 1, 2011 - Feb 2018
Research Scientist

Philips Dec 2009 - Mar 2011
Research Trainee

Fraunhofer Ipa Oct 2009 - Dec 2009
Research Assistant
Education:
University of Stuttgart 2008 - 2011
Master of Science, Masters
Anna University 2002 - 2006
Bachelor of Engineering, Bachelors, Communications, Electronics
Skills:
Intellectual Property
Data Analytics
Data Visualization
Databases
Algorithms
Statistical Modeling
Machine Learning
Pattern Recognition
Signal Processing
Python
Embedded Systems
Embedded Software
Microcontrollers
Matlab
Weka
C
Tableau
R
Deep Learning
Big Data
Biomedical Applications
Biomedical Device Design
Lighting Control
Mvc Architecture
Mysql
Microsoft Sql Server
Javascript
Html
D3.Js
Angularjs
Vhdl
Rtos
Multivariate Analysis
C++
C#
Systemc
Perl
Lua
Visual Basic
Big Data Analytics
Hadoop
Mapreduce
Embedded C
Languages:
German
English

Publications

Us Patents

Systems And Methods For Compressing Sensor Data Using Clustering And Shape Matching In Edge Nodes Of Distributed Computing Networks

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US Patent:
20210297491, Sep 23, 2021
Filed:
Aug 5, 2019
Appl. No.:
17/266752
Inventors:
- EINDHOVEN, NL
ABHISHEK MURTHY - ARLINGTON MA, US
MATHAN GOPALSAMY - MEDFORD MA, US
International Classification:
H04L 29/08
H03M 7/30
Abstract:
A system and method for compressing sensor data at an edge node of a distributed computing network. The method includes training the edge node to with a plurality of known signal templates. Each known signal template corresponding to a corresponding one of a plurality of events observable by the sensor. A raw data signal is collected by a sensor of the edge node. The raw data signal is classified to one of the known signal templates based on a degree of similarity between the raw data signal and the known signal template. A compression scheme is selected based on the classification of the raw data signal. The raw data signal is compressed in accordance with the compression scheme.
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