RUSAB SARMUN
Machine Learning Researcher specializing in Medical Imaging and Computer Vision.
RESEARCH DATABASE
// ACCESSING PUBLICATION RECORDS...
Deep learning-based real-time detection and classification of tomato ripeness stages using YOLOv8 on raspberry Pi
Deep learning-driven segmentation of ischemic stroke lesions using multi-channel MRI
Machine-agnostic automated lumbar MRI segmentation using a cascaded model based on generative neurons
RESEARCH INTERESTS
// CORE COMPETENCIES
Medical Image Analysis
Deep Learning
Healthcare AI
Computer Vision
Graph Neural Networks
Robotics
TECHNICAL_STACK
ROBOTICS PROJECTS
// AUTONOMOUS SYSTEMS & CONTROL
AVR-based Line Follower Robot
Designed and built a custom PCB based line follower robot and programmed the ATmega32A directly in embedded C without using Arduino, implementing sensor calibration and PID based motor control for stable tracking.
Arduino Maze Solving Robot
Built an Arduino based autonomous maze solving robot using IR sensors and motor encoders, implementing real time decision making with a left hand rule and path optimization to reach the goal efficiently.
3-DOF Color Sorting Manipulator
Designed and built a 3-DOF robotic arm for color based object sorting, using Arduino for real time motor control and Python based computer vision to detect and classify objects before pick and place execution.
HONORS & AWARDS
// RECOGNITION LOG
2nd Place - Poster Presentation Award
2024Awarded for research poster on a novel detection guided approach for multi-modal brain tumour segmentation on The 8th QU Health Research Symposium.
Champion - AI Hackathon 2025
2025Became champion at the AI Hackathon 2024 organized by Creative IT, Keeron and The Daily Star showcasing paper ECG analysis application, PulseGuard.
Champion - National AI Art-a-thon 2025
2025Recognized as the champion at the National AI Art-a-thon 2025 jointly organized by UNDP Bangladesh, University of Cambridge and Microsoft, for creating an AI-generated art piece that creatively represents medical imaging concepts.
GET IN TOUCH
// COMMUNICATION CHANNEL
Contact Information
Open for Collaboration
I am currently open to research collaborations and opportunities in medical AI, computer vision, and deep learning.
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