Debasish Bal

Robotics & Autonomous Systems | Lübeck, Germany

Anschützstr. 15, 23562 Lübeck, Schleswig-Holstein, Germany

Phone: +49 178 690 2751 | Email: dbal@ieee.org

GitHub | Linkedin | Google Scholar | IEEE

Education

  • Master of Science - Robotics and Autonomous Systems (On going)
    Universität zu Lübeck, Germany
  • Bachelor of Science - Electrical and Electronic Engineering (May 2018)
    International Islamic University Chittagong, Bangladesh
    • Thesis: Improvement of Human Face Detection and Recognition Performance in Low Illumination and Occluded Condition

Experience

  • Research Assistant (HiWi) (October 2023 – March 2024)
    Universität zu Lübeck, Institut für Technische Informatik
    - Designing Autoencoder Model for SNR Data Analysis
  • Research Assistant (HiWi) (July 2023 – September 2023)
    Universität zu Lübeck, Institut für Medizinische Informatik
    - Retinal Data preparation for Indicate-FH Project under UKSH and IMI.
  • Research Student (December 2021 – September 2022)
    Gunma University, Japan
    - Research Topic: A Study on Sensing, Recognition, and Control in Robotics.
    - Supervisor: Professor Nobuaki Nakazawa
  • Embedded System Engineer (January 2019 – December 2019)
    STELLAR, Bangladesh
    - Improved access logger system’s stability and performance.
    - Key developer of the core MQTT hub for IoT devices.

Publications

  • Real Time Human Face Detection and Recognition Based on Haar Features (June 2020)
    IEEE Region 10 Symposium (TENSYMP) | DOI: 10.1109/TENSYMP50017.2020.9230857
  • NAVIX: A Wearable Navigation System for Visually Impaired Persons (December 2020)
    2nd International Conference on Sustainable Technologies for Industry 4.0 (STI) | DOI: 10.1109/STI50764.2020.9350480
  • WSN based Advanced Emergency Fire Alarm System Using MQTT Centric Star Topology (February 2021)
    International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) | DOI: 10.1109/ICICT4SD50815.2021.9396924

Research Interests

  • Robotics
  • Automation
  • Image Processing
  • Machine Learning
  • Internet of Things (IoT)

Technical Skills

  • Computer Skills: C Programming, Python, Linux, Open-Source Tools
  • Hardware Skills: Arduinos, Espressif Systems, PIC Microcontroller, Raspberry Pi
  • Engineering Tools: MATLAB, TensorFlow, OpenCV, Proteus, Cadence