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Biplab Pal

from Ellicott City, MD
Age ~51
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Also known as:
Pal Biplab, Paul Biblab
Related to:
Sanjib Pal, 46L Pal, 81
Connected to:
Ana M Pal, 73Anil K Pal, 83Anirban Pal, 50Annette H Pal, 88Arijit Pal, 42Barun B Pal, 74Bidhan C Pal, 58Charlene K Pal, 61Chayanika Pal, 51Deb K Pal, 61

Biplab Pal Phones & Addresses

  • Ellicott City, MD
  • Elkridge, MD
  • 1415 North St, Anaheim, CA 92801 (714) 758-0921 (714) 833-5418
  • 1225 Diamond St, Anaheim, CA 92801 (714) 758-0921
  • Middletown, NJ

Resumes

Resumes

Biplab Pal Photo 1

President, Co-Founder And Chief Technology Officer

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Location:
Columbia, MD
Industry:
Industrial Automation
Work:
American Association For Big Data Professionals May 2014 - Mar 2015
Board Member
Treeminer, Inc. Jun 2013 - Mar 2015
Product Development and Technical Advisor
Ailectric May 2012 - Jan 2015
Founder
Machinesense May 2012 - Jan 2015
President, Co-Founder and Chief Technology Officer
Ciena Nov 2010 - Feb 2012
Principal Engineer
Education:
Indian Institute of Technology, Kharagpur 2001
Indian Institute of Technology, Kharagpur 1996 - 2001
Doctorates, Doctor of Philosophy, Communication, Engineering, Electronics Indian Institute of Technology, Kharagpur 1991 - 1996
Master of Science, Masters, Physics Indian Institute of Technology, Kharagpur 1994
Bachelors, Bachelor of Science Narendrapur Ramkrishna Mission Residential College 1991
Indian Institute of Technology, Kharagpur 1976 - 1980
Doctorates, Doctor of Philosophy Indian Institute of Technology
Skills:
Wireless
Telecommunications
Embedded Systems
Algorithms
Integration
Product Management
Big Data
Mobile Devices
Machine Learning
Start Ups
Ip
Product Development
Rf
Electronics
Cloud Computing
Optical Communications
R&D
Hadoop
Saas
Systems Engineering
Designs
Simulations
Fiber Optics
System Design
Matlab
Mobile Applications
Network Design
Network Architecture
Signal Processing
Predictive Modeling
Optical Engineering
Predictive Analytics
Optics
Dwdm
Optimization
Lte
Optical Transmission
Internet of Things
Wireless Backhaul
Transmission
Zigbee
Bluetooth
Wifi
Cross Layer Design
Simulation
Apache Spark
Optical System Design
Data Mining
Apache Kafka
Apache Storm
Interests:
Jürgen Klinsmann
Grant Wahl
Imran H Sarker
History Collection
Community
Fox Sports Asia
Tds Druheen
Gold Cup
We Support Donald Trump
Health/Beauty
শখ মলন
Scripts and Scribbles
Bengali/Bangladeshi Restaurant
Environmental Conservation Organization
Tee Plus Plus
Journalist
Politician
Politics
Football Insider
Business Service
Chan Zuckerberg Initiative
Hair Salon
Arvind Kejriwal Fan Club of West Bengal
Youngpreneurs India
Organization
Rkmr College Narendrapur Trolls
Tridha Choudhury
Chris Van Hollen
Dahlia Wasfi
Fekuexpress
Americans Against the Tea Party
Truth Examiner
Lawyer and Law Firm
Avinash Mannan
I Am A Bong
Sundarbans
Soccer
Heygood
Political Organization
Audible
Sangbad Biswabangla
Joy Sarkar
Personal Blog
Swami Suparnananda
Palash Gelas Mirakkelian
Customer Karma
Government Website
Adt
Allan Kittleman
Subhasis Mahata
Bfs Capital
Education
American Humanist Association
Science and Technology
Zest
Performance and Event Venue
Clothing (Brand)
Elysium Health
President Bill Clinton
Entrepreneur
Rakhi Dutta Page
Telecommunication Company
Calvin Ball
Ellicott City Homes and Lifestyle
Other
Broadcasting and Media Production Company
Design Thinking By Emeritus
Supreeta Singh Pr Consultancy
News and Media Website
Blogger
Cleanchoice Energy
Project Invested
Hudson and Fouquet Salon
The New York Times
Verizon Wireless Customer Service Sucks
Bryce Reeves
Teacher2Teacher
Newspaper
Brian Henge
Hirevue
Consulting Agency
Ionhoco
Political Candidate
Sheakh Milon
Julian Bashore
Coach
Emeritus Institute of Management
Potus 44
Sports Event
Book
Gaur Gopal Das
Swastika Mukherjee
Musician
Ravindra Vikram
Musician/Band
Protima Jeunesse Founder Club
Iot Training
Bong Eats
Internet Company
Comilla Victoria College
The New Yorker
The Comma Club By Dave Larue
Netbrain
Sports Team
Entertainment Website
Economic Empowerment
Mechanical Engineering World
Iit Kharagpur
Diply Tech
Alive Home
The Great Courses
Save the World's Largest Mangrove Forest
Writer
Media
Stand Up America
Zee News English
আম একঠ বঙ আচ
Dc For Progress
বঙল ও বঙলয়ন
Clint Dempsey
Bengal Politics
Education Website
Merriweather Park at Symphony Woods
Bongflix
Saaj
Bhaskban
Nonprofit Organization
Website
Bengal Newz
Software
Actor
Friends of James Howard
Product/Service
Artist
Athlete
Human Rights
Publisher
Tariqul Islam Shibly
Literary Arts
Energy Company
Expose Trump
Director Iit Kharagpur
Magazine
Civil Rights and Social Action
Non Governmental Organization (Ngo)
Techecom
Orr and Pearson
Jeeturaaj
Sangbad Pratidin
Loan Service
Community Organization
China Daily
Senator Elizabeth Warren
Public Figure
Thirdeye Data
Ratri Goswami Rg
Msnbc
Social Pro Daily
Media/News Company
Elizabeth Warren
Design and Fashion
Just Puk
Languages:
English
Biplab Pal Photo 2

Biplab Pal

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Biplab Pal Photo 3

Biplab Pal

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Business Records

Name / Title
Company / Classification
Phones & Addresses
Biplab Pal
Owner
Social Media Technology Group
Communication Services
6885 Old Waterloo Rd, Baltimore, MD 21075

Publications

Us Patents

Method, System And Apparatus Using Field Learning To Upgrade Trending Sensor Curves Into Fuel Gauge Based Visualization Of Predictive Maintenance By User Driven Feedback Mechanism

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US Patent:
20220343213, Oct 27, 2022
Filed:
Dec 1, 2021
Appl. No.:
17/540171
Inventors:
- Baltimore MD, US
Biplab PAL - Ellicott City MD, US
Assignee:
Prophecy Sensorlytics, LLC - Baltimore MD
International Classification:
G06N 20/00
G06N 5/04
G05B 23/02
G06F 30/20
Abstract:
A field learning system comprising a system of feedback using a user interface in a web based and mobile application to overcome the difficulty and infeasibility of supervised machine learning systems used for modeling failure states of machines.

Systems And Methods For Identifying And Isolating Persons Suspected Of Having An Infectious Disease

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US Patent:
20210304901, Sep 30, 2021
Filed:
Mar 24, 2021
Appl. No.:
17/211349
Inventors:
- Baltimore MD, US
Biplab PAL - Ellicott City MD, US
Assignee:
MachineSense, LLC - Baltimore MD
International Classification:
G16H 50/80
H04W 4/029
A61B 5/01
G08B 21/18
G16H 10/60
Abstract:
Systems and processes are provided for managing epidemic and pandemic disease populations by individually scanning persons in a pre-selected retention space, to identify persons having body temperatures in excess of a predetermined level. Such persons are prompted to register, and are instructed to self-quarantine at the address provided during the registration process. The location of the registered person subsequently is tracked to ensure that the person remains at the registered location during the quarantine period. The registration information can be provided to health and law enforcement authorities to help control the spread of the disease population.

Method, System And Apparatus Using Field Learning To Upgrade Trending Sensor Curves Into Fuel Gauge Based Visualization Of Predictive Maintenance By User Driven Feedback Mechanism

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US Patent:
20200226495, Jul 16, 2020
Filed:
Mar 24, 2020
Appl. No.:
16/828257
Inventors:
- Baltimore MD, US
Biplab PAL - Ellicott City MD, US
Assignee:
MachineSense, LLC - Baltimore MD
International Classification:
G06N 20/00
G06N 5/04
G05B 23/02
G06F 30/20
Abstract:
A field learning system comprising a system of feedback using a user interface in a web based and mobile application to overcome the difficulty and infeasibility of supervised machine learning systems used for modeling failure states of machines.

Methods For Measuring Real-Time Dew-Point Value And Total Moisture Content Of Material To Be Molded Or Extruded

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US Patent:
20190391096, Dec 26, 2019
Filed:
Sep 6, 2019
Appl. No.:
16/562500
Inventors:
- Baltimore MD, US
Biplab Pal - Ellicott City MD, US
Assignee:
MachineSense, LLC - Baltimore MD
International Classification:
G01N 25/66
Abstract:
A method for accurately measuring the real-time valid dew-point value of a material and determining the total moisture content of the material by using an algorithm during the material drying process. The algorithm estimates the valid dew-point value of the material and the total moisture content of the material by analyzing sensor data received on a server. The algorithm determines a valid dew-point value by estimating an inflection point of the moisture content versus time friction/curve for the material, and the total moisture content of the material is determined within the valid dew-point value

System For Rule Management, Predictive Maintenance And Quality Assurance Of A Process And Machine Using Reconfigurable Sensor Networks And Big Data Machine Learning

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US Patent:
20190354096, Nov 21, 2019
Filed:
Aug 5, 2019
Appl. No.:
16/531853
Inventors:
- Baltimore MD, US
Biplab Pal - Ellicott City MD, US
Assignee:
MachineSense, LLC - Baltimore MD
International Classification:
G05B 23/02
G05B 19/418
G05B 13/02
Abstract:
A system for rule management, predictive maintenance and quality assurance of a process using automatic rule formation comprising a plurality of sensors capable of being attached to at least one machine for measuring at least one information about the process and machine operation. The system comprises a server connected to the sensors over a wireless communication network and running a reconfigurable rule management program for identifying and processing the particular process and machine information related to at least one process received from the plurality of sensors. A controller in communication with the server capable of controlling the process based on a rule set by the rule engine. The rule engine automatically detects the normal process data, classifies the received data based on the dynamic rule formed by the rule engine and finds anomalies in the process or machine operation for predictive maintenance and process quality assurance.

Edge Cloud-Based Resin Material Drying System And Method

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US Patent:
20190265687, Aug 29, 2019
Filed:
Dec 21, 2018
Appl. No.:
16/229353
Inventors:
- Baltimore MD, US
Biplab Pal - Ellicott City MD, US
Assignee:
MachineSense, LLC - Baltimore MD
International Classification:
G05B 19/418
G06N 20/00
Abstract:
A method of evaluating factory production machinery up time and down time performance provides a collection of sensors in individual communication with factory production machinery, with each sensor collecting high frequency vector data as respecting a physical parameter associated with the machinery, extracts the data from the sensors to produce a sensor data set, transforms the data set into the frequency domain, extracts statistical and mathematical information from the data set, transfers the data set, to an associated edge cloud, and within the associated edge cloud processes the data set to provide a repair, maintenance and operation board for the machinery to evaluate up time and down time performance for the factory production machinery.

Predicting Dryer Maintenance Using Machine Wearables

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US Patent:
20180077522, Mar 15, 2018
Filed:
Nov 17, 2017
Appl. No.:
15/816613
Inventors:
- Baltimore MD, US
Biplab Pal - Ellicott City MD, US
Assignee:
MachineSense, LLC - Baltimore MD
International Classification:
H04W 4/00
G05B 19/418
Abstract:
Disclosed is an IoT-based system for overseeing process control and predictive maintenance of a machine or a network of machines by employing machine wearable sensors. The system comprises a plurality of IR temperature sensors, each of which secured to the exterior of the machine; each IR sensor capable of transmitting captured temperature data wirelessly over a communications network, an algorithm engine capable of receiving data from the IR sensors, the algorithm engine for further processing the received data to recognize real-time temperature patterns, deviations, etc., and based on the same issuing control commands pertaining to the machine, and one or more control modules disposed in operative communication with the control panel of the machine, the control module capable of receiving, over a communications network, the control commands and executing the same resulting in accomplishing process control or predictive maintenance of the machine or both.

Method, System And Apparatus Using Field Learning To Upgrade Trending Sensor Curves Into Fuel Gauge Based Visualization Of Predictive Maintenance By User Driven Feedback Mechanism

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US Patent:
20170178030, Jun 22, 2017
Filed:
Dec 20, 2016
Appl. No.:
15/385295
Inventors:
- Baltimore MD, US
Biplab Pal - Ellicott City MD, US
Assignee:
Prophecy Sensors, LLC - Baltimore MD
International Classification:
G06N 99/00
G06F 17/50
G06N 5/04
Abstract:
A field learning system comprising a system of feedback uses a user interface in web based and mobile applications to overcome the difficulty and infeasibility of supervised machine learning systems used for modeling failure states of machines
Control profile
Biplab Pal from Ellicott City, MD, age ~51 Get Report