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Prachi Agarwal is a seasoned engineer with expertise in embedded systems, IoT, and machine learning for medical applications. She has a strong academic background in Electrical and Computer Engineering from Johns Hopkins University and has worked on various projects, including a fingerprint-based classroom attendance management system. She is also a certified researcher and has experience in teaching and mentoring.

Credentials

  • Researchers
    CITI Program
    Feb, 2024
    - May, 2026
  • Good Clinical Practice and ICH
    CITI Program
    Feb, 2024
    - May, 2026
  • Human Subject Research - Biomedical Research
    CITI Program
    Feb, 2024
    - May, 2026

Experience

    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Research Assistant
      • Aug 2020 - Present

      Neuroengineering and Biomedical Instrumentation LabAdvisor/PI: Dr. Nitish Thakor

    • Course Instructor
      • Jun 2023 - Jul 2023

      Course Instructor for Engineering Innovation Summer Program by Johns Hopkins

    • Graduate Teaching Assistant
      • Jan 2023 - May 2023

      EN.520.142 Digital Systems Fundamentals (Instructor: Prof. Lucas Buccafusca)

    • Graduate Teaching Assistant
      • Jan 2022 - May 2022

      EN.520.659 Machine learning for medical applications (Instructor: Prof. Laureano Moro Velazquez )

    • Research Engineer
      • Jul 2018 - Aug 2020
      • Singapore
    • Internship
      • May 2016 - Aug 2016
      • Foshan, Guangdong, China

      Worked at Laboratory for Intelligent Vehicles and Energy Systems (LIVES), on battery degradation model for plug-in hybrid electric vehicles and made progress towards creating an algorithm for a plug-in hybrid vehicle to better control the powertrain to improve the life time of the battery.

  • Beijing Jiaotong University
    • Foshan, Guangdong, China
    • Teaching Assistant
      • Jul 2016 - Jul 2016
      • Foshan, Guangdong, China

      Worked as a Teaching Assistant for Python course under Professor Orkun Karabasoglu and helped in preparing study material for the course. Also took the interactive online sessions for the students of Python course.

    • Summer Research Intern
      • May 2015 - Jul 2015

      Development of a Fingerprint Biometric Based Classroom Attendance Management SystemA prototype Classroom Attendance Management System (CAMS) is developed that uses fingerprintbiometric for recording the students’ attendance.

    • Trainee
      • May 2014 - Jul 2014

      Training on embedded and roboticsWorked on ATMEGA 16 microcontroller Software used- AVR studio, CVAVR, Proteus

Education

  • 2020 - 2025
    Johns Hopkins Whiting School of Engineering
  • 2020 - 2022
    Johns Hopkins Whiting School of Engineering
  • 2013 - 2017
    The LNM Institute of Information Technology
  • 2011 - 2013
    St. Fidelis College
  • 2010 - 2011
    St. Fidelis College

Suggested Services

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Industry Focus. “Computer Hardware”

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