Kannan Peesapati

Junior Scientist at AC2T research GmbH - Austrian Competence Center for Tribology
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Contact Information
us****@****om
(386) 825-5501
Location
Vienna, Vienna, Austria, AT
Languages
  • English Native or bilingual proficiency
  • Telugu -
  • Hindi Professional working proficiency
  • German Limited working proficiency

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Credentials

  • Masterurkunde
    Technische Universität Chemnitz
    Sep, 2020
    - Nov, 2024
  • Goethe - Deutsche Kurs Zertifikat
    Goethe-Institut e.V.
    Feb, 2017
    - Nov, 2024
  • IELTS
    British Council
    Dec, 2016
    - Nov, 2024
  • AMCAT Certified Collections Specialist
    Aspiring Minds
    Oct, 2015
    - Nov, 2024
  • AMCAT Certified Data Processing Specialist
    Aspiring Minds
    Oct, 2015
    - Nov, 2024
  • AMCAT Certified Electrical Engineer
    Aspiring Minds
    Oct, 2015
    - Nov, 2024

Experience

  • AC2T research GmbH
    • Austria
    • Research Services
    • 1 - 100 Employee
    • Junior Scientist
      • Apr 2022 - Present

  • Technische Universität Wien
    • Austria
    • Research Services
    • 700 & Above Employee
    • Scientific Researcher
      • Sep 2020 - Present

    • Research Staff
      • Aug 2020 - Sep 2020

  • Technische Universität Chemnitz
    • Germany
    • Education Management
    • 700 & Above Employee
    • Masters Student
      • Oct 2017 - Jul 2020

    • Research Assistant
      • Sep 2019 - Apr 2020

      Worked on the following tasks:1. Supervised sequence labeling of images for Traffic sign classification2. Labeling the data for robust traffic sign classification with fast information retrieval algorithm3. Data processing, Classification and Analysis of the labeled data with optimization of data presentation4. Enhancement of image features and resolving the regression problems of labeled data with a clearly defined output

  • Fraunhofer-Gesellschaft
    • Germany
    • Research Services
    • 700 & Above Employee
    • Master Thesis
      • Dec 2019 - Jun 2020

      Goal of the Thesis is to classify and localise the Human in Fused environment of LiDAR And RGBD cameras. This concept for the speed and separation monitoring of Heavy Duty Industrial Robots.Working on 1. Voxalised Octomap for occupancy grid 2. Fused LiDAR Data for image registration, segmentation and classification 3. Controlling the Robot and data with ROS

    • Research Intern
      • Mar 2019 - Nov 2019

      Implementation of Calibration tool on GPU with an optimal tradeoff in Robustness, Precision, and SpeedWorked on the following tasks:1. Accurate data collection with Robots for camera calibration in complex industrial environments2. Qtec camera and Aruco markers for calibration with respect to Robot Tool Center Point (TCP)3. OpenCL kernel developments to classify the human in custom and trained models4. Optimizing the Human-Machine Interaction, Detection algorithms for Human localization on both CPU and GPU base Show less

  • OSI Digital
    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Project Associate Trainee
      • Jul 2016 - Jul 2017

      Worked on the following tasks: 1. Requirement analysis, Implementation discussion and proposing solutions 2. Computer Vision data fitting and data molding for various 3D sensors Worked on the following tasks: 1. Requirement analysis, Implementation discussion and proposing solutions 2. Computer Vision data fitting and data molding for various 3D sensors

Education

  • Vienna University of Technology
    Doctor of Philosophy - PhD, Electrical Engineering and Information Technology
    2020 - 2023
  • Technische Universität Chemnitz
    Master's degree, Electrical Embedded Systems
    2017 - 2019
  • Lendi Institute of Engineering & Technology, Jonnada (V), Denkada mandal, PIN- 535005 (CC-KD)
    Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering
    2012 - 2016

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