Praveen Kumar M S

Graduate Research Assistant at University of Maryland - A. James Clark School of Engineering
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Contact Information
us****@****om
(386) 825-5501
Location
College Park, Maryland, United States, US
Languages
  • Tamil Native or bilingual proficiency
  • Hindi Native or bilingual proficiency
  • English Full professional proficiency

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Credentials

  • AMRx: Autonomous Mobile Robots
    ETH Zürich
    Jan, 2020
    - Nov, 2024
  • Associate Systems Engineering Professional (ASEP)
    INCOSE
    Sep, 2020
    - Nov, 2024

Experience

  • University of Maryland - A. James Clark School of Engineering
    • United States
    • Higher Education
    • 100 - 200 Employee
    • Graduate Research Assistant
      • Jan 2020 - Present

      1. Working under Dr. John S Baras at the Autonomy Robotics Cognition (ARC) Lab.2. Compared various widely used robot simulators such as Gazebo, CoppeliaSim, PyBullet, Webots, GraspIt! based on certain set of metrics and requirements for multibody simulation, robot grasping and manipulation tasks. (May 2020 - August 2020)3. Successfully defended my MS thesis on "Model-Based Systems Engineering Simulation Framework for Robot Grasping". (August 2020 - August 2021)

    • Graduate Teaching Assistant
      • Jan 2021 - May 2021

      1. Handled ENES 489P (Hands-On Systems Engineering course).2. Mentored and graded student teams for their assignments, projects, and presentations.

    • Graduate Teaching Assistant
      • Jan 2020 - May 2020

      1. Handled ENES 489P (Hands-On Systems Engineering course).2. Mentored and graded student teams for their assignments, projects, and presentations.

  • Indian Institute of Technology, Madras
    • India
    • Higher Education
    • 700 & Above Employee
    • Computer Vision & Deep Learning Research Intern
      • Dec 2016 - May 2018

      ▪ Worked as a research intern on two projects, "Modification of state of the art Convolutional Neural Network model DenseNet" and "Object recognition using CIFAR-10, pascal-VOC and IIT-M image database". ▪ "Modification of state of the art Convolutional Neural Network model DenseNet" - Proposed and incorporated skip-layer or residual connections within and outside the dense blocks of the existing DenseNet model in order to accelerate the training by enabling the network to learn residuals between the dense blocks, compared the classification accuracy of the modified network with benchmark results. ▪ "Object recognition using CIFAR-10, pascal-VOC and IIT-M image database" - Reinforced basics and applications of Deep Convolutional Neural Networks by implementing and comparing the classification results of a 6-layer CNN, 16-layer VGGNet, 50-layer ResNet on CIFAR-10, SVHN, Pascal-VOC and an IIT-M owned image database. Show less

Education

  • University of Maryland - A. James Clark School of Engineering
    Doctor of Philosophy - PhD, Mechanical Engineering
    2021 - 2026
  • University of Maryland - A. James Clark School of Engineering
    Master of Science - MS, Systems Engineering, Robotics Concentration
    2019 - 2021
  • SSN College of Engineering
    Bachelor of Engineering - BE, Electronics and Communications Engineering
    2015 - 2019
  • SBOA School & Junior College
    Higher Secondary, Mathematics and Computer Science
    2001 - 2015

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