Mohammad Samir Hassan

Mohammad Samir Hassan

Prospective PhD Student with background in Mechanical Engineering, currently working as ML and Embedded System Engineer at Therap (BD).

About Me

Hi,
I’m Samir Hassan, a Mechanical Engineering Graduate from Bangladesh University of Engineering and Technology (BUET), with a CGPA of 3.43/4.00. My GRE score is 320 (167 Quantitative, 153 Verbal and 3.5 Writing) and my IELTS score is 7.5.

My research interests include Control Theory, Robotics, Reinforcement Learning, SLAM and Perception and Multi-Agent Systems.

Currently, I work as a Machine Learning and Embedded Systems Engineer at Therap BD Ltd. where I worked on:

  • Activity Recognition with Computer Vision related projects
  • Automatic Sound Recognition(ASR), Speech TO Text(STT)
  • Deployment of ML models on edge devices (e.g., Nvidia Jetson, Raspberry Pi)
  • Firmware development for microcontrollers (STM32, ESP32)
  • Design and development of piezoresistive sensors

Alongside, During my sophomore year I founded PrintOType BD, a 3D printing and CAE consultancy startup. Using a FDM 3D printer, I have helped university students and research teams prototype and fabricate parts for academic and engineering projects.

Few of my research projects are experiences are-

  • During my undergraduate studies, I was an active member of Team Interplanetar, BUET’s university rover team, where I served as Electrical and Communications Sub-Team Lead.
    Our team developed an autonomous rover capable of performing complex tasks and participated in:
    • European Rover Challenge (ERC) 2022, Poland(4th in Remote and 8th On-site)
    • University Rover Challenge (URC) 2023, USA

    My key contributions included:

    • Designing and implementing a robust power system with voltage and current sensing capabilities
    • Developing a Brushless DC traction system with FOC control
    • Implementing hall-sensor-based positional feedback for arm autonomy
    • Overseeing the additive manufacturing (FDM Printing) of Rover parts

  • For my undergraduate thesis, I worked on the Development of an Automatic Tire Pressure Control (ATPC) System and its Effect on Vehicle Traction and Fuel Consumption, where my team developed a testing setup to investigate the correlation between tire pressure and power consumption under varied loads. We logged the tire speed using tachometer, Power consumption of the Induction Motor using a 3 Phase Power Analyzer and Pressure Gauge to measure tire Pressure. Our work provided meaningful insights into the effectiveness of Automatic Tire Pressure Control Systems (ATPC) in enhancing traction and fuel efficiency.

  • In the Electro-Mechanical System Design course, I developed an autonomous Sound Source localizing Tricopter equipped with a 4-microphone array and flight computer for DoA and SSL of sound pollution using Raspberry Pi 3 and Open embeddeD Audition System Library. The frame was designed and built using Aluminum Extrusions and FDM 3D Printing. We implemented MAVLink communication between the flight computer and ground station to enable smooth path planning using ROS.

    Please click here to see all of my projects.

I am a quick learner and passionate about solving complex problems at the intersection of mechanical systems, electronics, and intelligent control. I love to work in hands-on environments, enjoy building and testing real systems, and am excited to contribute to the future of robotics and autonomous systems through innovation and practical implementation.