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Rajen B Bhatt

from Mc Donald, PA
Age ~46

Rajen Bhatt Phones & Addresses

  • 6414 Interlaken Dr, Mc Donald, PA 15057
  • Pittsburgh, PA

Resumes

Resumes

Rajen Bhatt Photo 1

Rajen Bhatt

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Location:
Florence, SC
Industry:
Consumer Electronics
Work:
Robert Bosch May 2015 - Sep 2017
Founder and Senior Manager, Iot and Cloud-Based Retail Services

Robert Bosch Nov 2012 - Apr 2015
Senior Research Scientist, Research and Technology Center

Robert Bosch Engineering and Business Solutions Ltd. Nov 2010 - Jan 2012
Lead Architect, Corporate Research

Samsung Electronics Jun 2005 - Nov 2010
Chief Engineer, Digital Media R and D

Qeexo Jun 2005 - Nov 2010
Education:
Indian Institute of Technology, Delhi 2001 - 2005
Doctorates, Doctor of Philosophy, Electrical Engineering, Philosophy
Delhi College of Engineering 2000 - 2001
Masters, Master of Engineering, Engineering, Electronics Engineering
Shantilal Shah Engineering College 1995 - 1999
Bachelor of Engineering, Bachelors
Skills:
Algorithms
Matlab
Machine Learning
Signal Processing
Embedded Systems
R&D
Pattern Recognition
Science
Image Processing
Simulations
Computer Vision
Software Engineering
Digital Signal Processors
Electrical Engineering
Microcontrollers
C
Software Development
Artificial Intelligence
Leadership
Product Development
Agile Methodologies
Data Mining
Project Management
Technology Strategy
Technology Consulting
Coaching and Mentoring
Coaching
Strategic Planning
Innovation Management
Machine Learning Algorithms
Software As A Service
Languages:
English
Certifications:
Bosch Certified Product Engineering Leader
Rajen Bhatt Photo 2

Rajen Bhatt

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Publications

Us Patents

Method And Apparatus For Calibrating A User Activity Model Used By A Mobile Device

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US Patent:
20200384313, Dec 10, 2020
Filed:
Sep 25, 2019
Appl. No.:
16/582241
Inventors:
- Mountain View CA, US
Rajen Bhatt - McDonald PA, US
International Classification:
A63B 24/00
Abstract:
Systems, computer-implemented methods, and computer program products that can facilitate calibrating a user activity model of a user device nodes are described. According to an embodiment, a method for calibrating a user activity model used by a mobile device can comprise receiving sensor data from a sensor of the mobile device. Further, applying a first weight to a first a first likelihood of a first occurrence of a first activity, wherein the first likelihood is determined by a first estimator of the user activity model by applying preconfigured criteria to the sensor data. The method can further comprise performing an action based on a determination of the first occurrence of the first activity, the determination being based on the first weight and the first likelihood of the first occurrence of the first activity

Method And System To Prevent Identity Theft For Fingerprint Recognition Enabled Touch Screen Devices

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US Patent:
20200356754, Nov 12, 2020
Filed:
May 9, 2019
Appl. No.:
16/408347
Inventors:
- Mountain View CA, US
Rajen Bhatt - McDonald PA, US
Christopher Harrison - Pittsburgh PA, US
Sang Won Lee - San Carlos CA, US
International Classification:
G06K 9/00
G06F 21/32
G06N 20/00
Abstract:
The disclosure facilitates fingerprint recognition, user authentication, and prevention of loss of control of personal information and identity theft. The disclosure also facilitates identifying spoofed fingerprint authentication attempts, and/or securing user touch sensitive devices against spoofed fingerprint authentication attempts.

Object Detection System And Method Thereof

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US Patent:
20180330176, Nov 15, 2018
Filed:
Nov 21, 2016
Appl. No.:
15/776387
Inventors:
- Stuttgart, DE
Stephen Miller - Dexter MI, US
Matthew Baran - Northville MI, US
Rajen Bhatt - Pittsburgh PA, US
International Classification:
G06K 9/00
G06K 9/32
G06T 7/90
Abstract:
An object detection system for used in a vehicle includes an object detector is provided. One or more fisheye lens cameras coupled to an object detection system are positioned at various location of the vehicle for capturing a field of view (FOV) into an image. The image is split into multiple different set of perspective images. Each perspective images may include a portion of overlap having common or identical object of interest. The object detector classifies various objects of interest in the perspective images, estimates distance of objects of interest from the vehicle using camera calibration information stored in one of the camera, and transmits the sensed information that corresponds to the distance of interest to a processor. The processor includes sequence of instruction or object code either located in one of the object detection system, in-vehicle network, and an electronic device processes the sensed information and applies bounding boxes around objects of interest the vehicle or in the electronic device. One or more images incorporated the colored bounding boxes are transmitted to a display unit or screen for display as human readable format.
Rajen B Bhatt from Mc Donald, PA, age ~46 Get Report