Search

Shalini Keshavamurthy

age ~37

from Winchester, MA

Shalini Keshavamurthy Phones & Addresses

  • Winchester, MA
  • Boston, MA
  • Sunnyvale, CA
  • Los Angeles, CA
  • Richardson, TX

Work

  • Company:
    Utopiacompression corporation - Los Angeles, CA
    Aug 2011
  • Position:
    Software development intern

Education

  • School / High School:
    University of Texas at Dallas- Dallas, TX
    Jan 2010
  • Specialities:
    MS in Electrical Engineering

Skills

Signal Processing • Machine Learning • C • MATLAB • Algorithm development

Us Patents

  • Systems And Methods For Assisting Occupants To Exit A Parked Vehicle Safely

    view source
  • US Patent:
    20210225168, Jul 22, 2021
  • Filed:
    Jan 21, 2020
  • Appl. No.:
    16/748333
  • Inventors:
    - Plano TX, US
    Shalini Keshavamurthy - Sunnyvale CA, US
    Haritha Muralidharan - Santa Clara CA, US
    Yuta Kataoka - Mountain View CA, US
    Rui Guo - San Jose CA, US
    Kentaro Oguchi - Sunnyvale CA, US
  • International Classification:
    G08G 1/0962
    B60Q 3/70
    B60Q 5/00
    E05B 77/00
    G08G 1/16
    G08G 1/01
  • Abstract:
    Systems and methods for assisting occupants to exit a parked vehicle safely are disclosed herein. One embodiment detects that an other road user has entered a safety monitoring zone; tracks the detected other road user within the safety monitoring zone as the detected other road user approaches the parked vehicle; indicates, to an occupant of the parked vehicle, a first safety condition while a predicted time period until the detected other road user will enter a virtual safety bubble exceeds a predetermined time threshold; indicates, to the occupant of the parked vehicle, a second safety condition and indicates the predicted time period while the predicted time period is greater than zero and less than or equal to the predetermined time threshold; and indicates, to the occupant of the parked vehicle, a third safety condition while the detected other road user is inside the virtual safety bubble.
  • Managing Anomalies And Anomaly-Affected Entities

    view source
  • US Patent:
    20210074154, Mar 11, 2021
  • Filed:
    Sep 11, 2019
  • Appl. No.:
    16/567974
  • Inventors:
    - Erlanger KY, US
    Shalini Keshavamurthy - Mountain View CA, US
    Kentaro Oguchi - Mountain View CA, US
  • International Classification:
    G08G 1/0967
    G08G 1/01
    H04W 4/46
  • Abstract:
    The disclosure includes embodiments for managing an anomaly and anomaly-affected entities. In some embodiments, a method includes receiving anomaly data describing an occurrence of the anomaly in a roadway environment. The method includes determining an influence region of the anomaly in the roadway environment. The method includes determining a set of anomaly severity indices associated with a set of sub-regions within the influence region. The method includes managing a group of anomaly-affected entities within the influence region based on the set of anomaly severity indices.
  • Systems And Methods For Transporting An Object Into And Out Of A Vehicle

    view source
  • US Patent:
    20210060785, Mar 4, 2021
  • Filed:
    Sep 3, 2019
  • Appl. No.:
    16/558741
  • Inventors:
    - Plano TX, US
    Shalini Keshavamurthy - Sunnyvale CA, US
    Jacob Ryan Morrow - Carrollton TX, US
  • International Classification:
    B25J 9/16
    G06K 9/00
    B25J 19/00
    B60R 7/00
    G06Q 10/08
  • Abstract:
    System, methods, and other embodiments described herein relate to transporting an object into and out of a vehicle using an arm mounted to the vehicle. In one embodiment, a method includes detecting a plurality of objects in an environment of the vehicle, and identifying at least one object for transportation. The method includes determining at least one attribute for the at least one object, and determining a transport plan of how to move the at least one object into the vehicle based on the determined at least one attribute. The method includes, based on the transport plan, controlling the arm to move from a retracted position inside the vehicle to an extended position outside the vehicle, to engage the at least one object, move from the extended position to the retracted position, and disengage the at least one object to move the at least one object into the vehicle.
  • Systems And Methods For Context And Occupant Responsive User Interfaces In Vehicles

    view source
  • US Patent:
    20210064393, Mar 4, 2021
  • Filed:
    Aug 28, 2019
  • Appl. No.:
    16/554400
  • Inventors:
    - PLANO TX, US
    NUTONYA L. PARKER - Dallas TX, US
    SHALINI KESHAVAMURTHY - Sunnyvale CA, US
    GAGANDEEP SINGH SAINI - Plano TX, US
    PRASHANT V. SANAP - Frisco TX, US
    NATHAN KOKES - Frisco TX, US
    MICHAEL C, EDWARDS - McKinney TX, US
    DANY BENJAMIN - Rowlett TX, US
  • International Classification:
    G06F 9/451
    G06F 3/14
    G06N 20/00
  • Abstract:
    The progression of technology in vehicles has enhanced the driver's as well as passenger's experience. A sizable portion of the progression is the evolution of the human-machine interface. Nowadays, incorporating several user interfaces within a single vehicle is the standard. Accordingly, improving an occupant's interaction with these user interfaces is fundamental to cultivating the optimum occupant experience. The presently disclosed technology fulfills this objective by creating customized user interfaces for a vehicle. Each customized user interface is formed through the fusion of data from sensors within and around the vehicle tracking the occupant as well as vehicle interactions with each other and the environment. The wealth of information obtained simultaneous advances each individual occupant's experience by modifying associated user interfaces in accordance with the occupant's identified wants and needs.
  • Efficiency Improvement For Machine Learning Of Vehicle Control Using Traffic State Estimation

    view source
  • US Patent:
    20210001857, Jan 7, 2021
  • Filed:
    Jul 3, 2019
  • Appl. No.:
    16/503204
  • Inventors:
    - Erlanger KY, US
    Hao YANG - Mountain View CA, US
    Rui GUO - Mountain View CA, US
    Shalini KESHAVAMURTHY - Mountain View CA, US
    Kentaro OGUCHI - Mountain View CA, US
  • International Classification:
    B60W 30/18
    G05D 1/00
    H04W 4/40
  • Abstract:
    A method of improving efficiency of a vehicle behavior controller using a traffic state estimation network is described. The method includes feeding an input of a feature extraction network of the vehicle behavior controller with a sequence of images. The sequence of images include a highway section and corresponding traffic data. The method also includes disentangling an estimated behavior of a controlled ego vehicle. by the traffic state estimation network. The traffic state estimate network disentangles the estimated of the controlled ego vehicle from extracted traffic state features of the input provided by the feature extraction network. The method further includes selecting an action to adjust an autonomous behavior of the controlled ego vehicle according to the estimated behavior of the controlled ego vehicle.
  • Smart Placement Of Mobility As A Service (Maas) Transit Vehicles

    view source
  • US Patent:
    20200400447, Dec 24, 2020
  • Filed:
    Jun 21, 2019
  • Appl. No.:
    16/449139
  • Inventors:
    - Plano TX, US
    Shalini Keshavamurthy - Sunnyvale CA, US
  • International Classification:
    G01C 21/34
    G08G 1/00
    G06Q 10/02
    G06Q 50/30
  • Abstract:
    A system for automatic scheduling of vehicles includes a network access device configured to receive scheduling information corresponding to at least one travel request and including a user-selected starting location and a user-selected destination location. The system further includes a memory configured to store map information including road information and preselected vehicle stops. The system further includes a processor coupled to the network access device and the memory. The processor is designed to identify available vehicles to transport passengers. The processor is further designed to determine routes for the available vehicles to travel, the routes including vehicle stops and being determined based on the scheduling information, the road information, and the preselected vehicle stops. The processor is further designed to control the network access device to transmit the identified routes to the available vehicles.
  • System And Method Of Using A Vehicle As A Backup Roadside Unit (Rsu)

    view source
  • US Patent:
    20200388161, Dec 10, 2020
  • Filed:
    Jun 4, 2019
  • Appl. No.:
    16/431438
  • Inventors:
    - Erlanger KY, US
    Baik HOH - Mountain View CA, US
    Hao YANG - Mountain View CA, US
    Shalini KESHAVAMURTHY - Mountain View CA, US
    Kentaro OGUCHI - Mountain View CA, US
    Onur ALTINTAS - Mountain View CA, US
  • International Classification:
    G08G 1/00
    G08G 1/01
    G01C 21/34
    H04W 4/44
    H04W 4/46
  • Abstract:
    A method for deploying of a backup roadside unit (RSU) vehicle to provide on-demand RSU services is described. The method may include determining, by a server, a resource specification to deploy a selected backup RSU vehicle to a requested site. The determining of the resource specification may be performed by the server in response to a scene description received from a requestor. The method also includes sending a dispatch instruction to the selected backup RSU vehicle to deploy the selected backup RSU vehicle to the requested site. In this method, a hardware/software capability of the selected backup RSU vehicle is matched to the resource specification determined by the server.
  • Hierarchical Computing Architecture For Traffic Management

    view source
  • US Patent:
    20200382440, Dec 3, 2020
  • Filed:
    May 27, 2019
  • Appl. No.:
    16/423068
  • Inventors:
    - Plano TX, US
    Shalini Keshavamurthy - Sunnyvale CA, US
    Hao Yang - Mountain View CA, US
    BaekGyu Kim - Cupertino CA, US
    Kentaro Oguchi - Menlo Park CA, US
  • International Classification:
    H04L 12/923
    H04L 29/08
    G08G 1/01
  • Abstract:
    An example method determines a plurality of traffic sections for a geographical traffic area, each traffic section including a road segment and vehicle(s) traveling on the road segment; monitors a responsive vehicle rate for a first traffic section of the plurality of traffic sections; and assigns, based on the responsive vehicle rate of the first traffic section, the first traffic section to one of a first section server dedicated to manage the first traffic section and a remote management server capable of managing the plurality of traffic sections of the geographical traffic area, the first section server comprising computing device(s) of responsive vehicle(s) in the first traffic section.

Resumes

Shalini Keshavamurthy Photo 1

R&D Engineer

view source
Position:
R&D Engineer at UtopiaCompression Corporation
Location:
Los Angeles, California
Industry:
Research
Work:
UtopiaCompression Corporation since Aug 2012
R&D Engineer

UtopiaCompression Corporation - Greater Los Angeles Area Aug 2011 - Dec 2011
Intern

Multimodal Signal Processing Lab - University of Texas at Dallas Aug 2010 - Jul 2011
Research Assistant

Indian Institute of Science Jul 2008 - Jun 2010
Project Assistant, Network Architecture Lab, ECE department

Indian Space Research Organisation - Bangalore Jan 2008 - May 2008
Digital Systems Intern
Education:
The University of Texas at Dallas 2010 - 2012
MSEE, Communication and Signal Processing
B. M. S. College of Engineering 2004 - 2008
B.E, Electronics and Communication
Skills:
Machine Learning
Signal processing
Image Processing
Embedded Systems
MATLAB
LABView
C
VHDL
FPGA
Signal Processing
Interests:
Badminton, Hiking, Carnatic music
Shalini Keshavamurthy Photo 2

Ai Engineer

view source
Location:
San Francisco, CA
Industry:
Research
Work:
Humana
Ai Engineer

Toyota Itc Apr 2018 - Mar 2018
Senior Software Engineer

Utopiacompression Corporation Aug 2012 - Apr 2015
R and D Engineer

Utopiacompression Corporation Aug 2011 - Dec 2011
Intern

University of Texas at Dallas Aug 2010 - Jul 2011
Research Assistant
Education:
Stanford University 2018 - 2020
The University of Texas at Dallas 2010 - 2012
Masters, Master of Science In Electrical Engineering, Communication
B. M. S. College of Engineering 2004 - 2008
Bachelor of Engineering, Bachelors, Communication, Electronics
Skills:
Signal Processing
Image Processing
Embedded Systems
Machine Learning
C
Matlab
Pattern Recognition
Computer Vision
Algorithms
C++
Digital Signal Processing
Microprocessors
Testing
Labview
Python
Linux
Simulations
Latex
Eclipse
Interests:
Children
Badminton
Civil Rights and Social Action
Education
Environment
Hiking
Science and Technology
Carnatic Music
Disaster and Humanitarian Relief
Human Rights
Animal Welfare
Health
Languages:
English
Kannada
Hindi
Certifications:
R Programming
Statistical Inference
Algorithms
Shalini Keshavamurthy Photo 3

Shalini Keshavamurthy Richardson, TX

view source
Work:
UtopiaCompression Corporation
Los Angeles, CA
Aug 2011 to Dec 2011
Software Development Intern
Multimodal Signal Processing (MSP) Lab, University of Texas at Dallas
Richardson, TX
Aug 2010 to Jul 2011
Research Assistant
Electrical Communication Engineering Dept., Indian Institute of Science
Bangalore, Karnataka
Jul 2008 to Jun 2010
Project Assistant
Digital Systems Group, Indian Space Research Organization
Bangalore, Karnataka
Jan 2008 to May 2008
Digital Systems Intern
Education:
University of Texas at Dallas
Dallas, TX
Jan 2010 to Jan 2012
MS in Electrical Engineering
BMS College of Engineering
Bangalore, Karnataka
Jan 2004 to Jan 2008
B.E in Electronics and Communication
Skills:
Signal Processing, Machine Learning, C, MATLAB, Algorithm development

Get Report for Shalini Keshavamurthy from Winchester, MA, age ~37
Control profile