Musabbir Ahmed Arrafi
Roboticist || Explorer || Problem Solver
Biography
Pursuing my Master’s degree in Mechanical Engineering at the University of Dayton, Ohio, USA.
I am currently employed as a graduate research assistant at the DaRC-ARMs lab in Department of Mechanical and Aerospace Engineering, University of Dayton, Ohio
My research interest lies at the intersection of computer vision, machine learning, deep reinforcement learning and control systems. Moreover, I would like to see their applications in solving real life problems with field robotics.
In my free time I try to solve people’s coding problem on StackOverFlow.
- Computer vision
- Deep learning
- Reinforcement learning
- Control System
- Robot vision and perception
- Remote Sensing
MSc in Mechanical Engineering, 2024-2026
University of Dayton, Ohio, USA
BSc in Robotics and Mechatronics Engineering, 2018-2022
University of Dhaka, Bangladesh
Experience
Autonomous Driving Research
- Exploring the applications of deep reinforcement learning algorithms combined with physics-based machine learning for robust autonomous navigation for uncertain environment
Precision Agriculture and Food Safety (Funded by the Ministry of Science & Technology, Bangladesh)
- Developing an automated plant disease detection pipeline for native crops of Bangladesh utilizing computer vision and deep learning algorithms
- Working on developing an autonomous shelf-life monitoring system for fruits and vegetables by estimating the weight, volume, moisture content and deterioration state by computer vision algorithms
Landslide susceptibility mapping and flood vulnerability analysis
- Developing an automated landslide mapping and flood vulnerability analysis pipeline for Bangladesh using data collected from satelite and UAV by deep learning and computer vision
- Developed and deployed an intelligent appointment booking system on GCP with NLP models
- This project was in collaboration with Dr. Javed Mostafa of University of North Carolina, Chapel Hill
- Contributed to firmware development and automation scripts with C/C++ and python for embedded devices and contributed to backend codebase for IoT products
- Contributed to the implementation of computer vision projects
Autonomous robot navigation (Final year project)
- Explored applications of deep reinforcement learning algorithms for autonomous map-less robot navigation in unstructured and unknown terrain by self-supervised method
- We build a mobile robot that learns to navigate through unseen mapless environments utilizing D3QN and TD3 algorithm
- Mentored gold-medal winning teams of 2020 and 2021 in International Robot Olympiad from Bangladesh
- Conducted workshops on basic Robotics, ROS1, CAD, Programming in Python
AI driven Autism Detection
- Benchmarked several models such as SVM, LSTM, VGG16, Inception on publicly available datasets for autism detection through gaze detection, gait Pattern and repetitive behavior monitoring
Skills/ Hands-on experience
- Python
- C/C++ for embedded systems
- Git and GitHub
- BASH, Linux
- ROS1, ROS2, Gazebo, OpenAI Gym
- Amazon Web services
- Google Cloud Platform
- Machine Learning (Regression, Classification, Clustering, Dimensionality Reduction, Word Embeddings, NLP, Reinforcement learning)
- Deep Learning (Transfer Learning, CNN, GCNN, NeRF, DRL, vision-Transformers)
- Arduino (AVR and SAMD boards)
- ESP32, ESP8266
- Raspberry-Pi
- Nvidia Jetson Nano, Nvidia Jetson Orin
- SOLIDWORKS
- Fusion 360
- 3D printing
- Laser cutting
- CNC milling
- Soldering, Welding
Ongoing research
Honors & Awards
You can find our team(TINY_RME)’s rank in pre-assesment round on Kaggle.
