Anjali Agarwal

Research Specialist at The Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University
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Contact Information
us****@****om
(386) 825-5501
Location
GE
Languages
  • English Professional working proficiency
  • Hindi Native or bilingual proficiency

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Credentials

  • Neuromatch Academy - Deep Learning
    Neuromatch Academy
    Aug, 2021
    - Oct, 2024
  • Neuromatch Academy - Computational Neuroscience
    Neuromatch Academy
    Jul, 2021
    - Oct, 2024
  • BCI & NEUROTECHNOLOGY SPRING SCHOOL 2021
    g.tec medical engineering GmbH
    Apr, 2021
    - Oct, 2024
  • Deep Learning Specialization
    Coursera Certified Courses
    Oct, 2020
    - Oct, 2024
  • Image Processing using Matlab
    Indian Institute Of Information Technology
    Dec, 2017
    - Oct, 2024

Experience

    • Research Specialist
      • Jan 2023 - Present

    • India
    • Research Services
    • 100 - 200 Employee
    • Researcher
      • Sep 2020 - Jan 2023

    • Singapore
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Nov 2019 - May 2020

      Worked on a project, under the guidance of Prof. Chng Eng Siong to classify subjects as guilty or innocent based on ocular data extracted from subjects while going through a Q&A session about a mock crime. Worked on a project, under the guidance of Prof. Chng Eng Siong to classify subjects as guilty or innocent based on ocular data extracted from subjects while going through a Q&A session about a mock crime.

    • India
    • Defense and Space Manufacturing
    • 1 - 100 Employee
    • Summer Intern
      • May 2019 - Jul 2019

      Worked on various modes of wired communication, Ethernet and UART. Incorporated GMII Communication for packet decoding project. Improvised the communication system for more speed and throughput. Implemented a C based hardware programming using a tool flow kit called Chips 2.0. Worked on various modes of wired communication, Ethernet and UART. Incorporated GMII Communication for packet decoding project. Improvised the communication system for more speed and throughput. Implemented a C based hardware programming using a tool flow kit called Chips 2.0.

    • India
    • Semiconductors
    • 300 - 400 Employee
    • Summer Intern
      • May 2018 - Jul 2018

      Designed a Machine Learning based Defect Detection application using convolutional neural networks. Also, ported the application to an FPGA for better speed and accuracy. Designed a Machine Learning based Defect Detection application using convolutional neural networks. Also, ported the application to an FPGA for better speed and accuracy.

Education

  • Indian Institute of Technology, Palakkad
    Bachelor of Technology - BTech, Electrical and Electronics Engineering
    2016 - 2020
  • Girls'​ High School & College, Allahabad
    12th, PCM
    2015 - 2016
  • Girls'​ High School & College, Allahabad
    10th, 90.4%
    2013 - 2014

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