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Bio

Mukil Saravanan is a robotics master's student at the Delft University of Technology (TU Delft). His research interest lies in the intersection of robotics, computer vision, and machine learning. His goal is to enhance the autonomy, reliability and safety of robots by empowering robots to continuously learn from past experiences in the environments. He is a recipient of multiple awards and a fellowship including the leaderboard prizes in flagship IEEE ICRA, IROS 2022 competitions, the prestigious Summer Research Fellowship by the Indian Academy of Sciences (2021), and a patent (filed in Dec 2023).

In prior, he worked as a graduate researcher in the Robotics Innovations Lab in the Indian Institute of Science, Bangalore. He earned his bachelor's degree in Electronics and Communication Engineering from the Government College of Technology, Coimbatore where he chaired the student branch to be honoured for numerous outreach activities through competitions and seminars.

Apart from his academic endeavours, he enjoys photographing landscapes, streets and loves beatboxing and calisthenics.

SKILLS

Technical Skills

Machine Learning, Control System Design, Digital Signal Processing

Soft Skills

Self-discipline, Work ethic, Leadership

Tools

Robot Operating System (ROS), MATLAB, Embedded Devices (Arduino, Raspberry Pi, STM32), C++, Python, Linux, OpenCV

Experience

A short summary of my work experience..

  • IISC

    Indian Institute of Science,
    Bangalore

    May 2023 - March 2024

    Research Engineer

    August 2023 - November 2023 (Fall 2023)

    Teaching Assistant

    March 2022 - May 2024

    Graduate Researcher

    August 2022 - November 2022 (Fall 2022)

    Teaching Assistant

  • GCT IEEE Student Branch
    September 2021 - November 2022

    Student Branch Chair

  • IISc

    Indian Institute of Science,
    Bangalore

    June 2021 - October 2021

    Summer Research Fellow

    • Awarded the prestigious Indian Academy of Sciences (IAS) Summer Research Fellowship to research under the principal research scientist Dr Rathna G N at Digital Signal Processing lab.
    • Focused on feature extraction methods of ECG signals to detect emotions for a trans-radial prosthetic arm. Adopted 4-level wavelet decomposition to extract a total of 18 temporal, spectral and non-linear Heart Rate Variability (HRV) features.
  • TCS iON Life Long Learning

    Tata Consultancy Services (TCS) iON,
    Remote

    June 2020 - July 2020

    Summer Intern

    • Designed a Robot Process Automation (RPA) bot solution to download email attachments and automate data entry into a web form.
    • Compared and utilized web scrapping tools such as UiPath and Selenium to automate the workflow.

Education

A brief overview of my educational background..