Personal project hub · Taiwan

Muhammad Rayhan Athaillah賴瑞涵

Master’s student and computer-vision / robotics researcher based in Taiwan.

Building perception systems, intelligent robotics, and practical AI research.

Focus on machine perception, high-speed vision, machine learning systems, and competition-driven applied research.

Current focusCurrently developing high-speed stereo perception and trajectory prediction for robotic table tennis at National Yang Ming Chiao Tung University.

Selected work

Projects grounded in evidence and systems.

Live project site

Marine Debris Image Recognition Competition

A 34-class marine-debris detection project covering reproducible baselines, model variants, ensemble optimization, crop rescoring, and competition submissions.

Visit project

Research in progress

Ping-Pong Robot Thesis

High-speed stereo perception and trajectory prediction for robotic table tennis.

Ongoing research

Computer Vision and Robotics Research

Applied work spanning object detection, visual tracking, multi-camera perception, and real-time inference.

Working principles

A practical research practice.

Method is part of the work: clear baselines, deliberate comparison, and a path from findings to real systems.

  1. 01

    Build reproducible baselines first.

  2. 02

    Measure model behavior beyond a single headline score.

  3. 03

    Prefer controlled experiments over unbounded tuning.

  4. 04

    Connect research evidence to deployable systems.

About

Curious about what makes a system work.

Rayhan is a master’s student working on computer vision, robotics, and machine learning systems. His current interests include high-speed visual perception, intelligent robotics, object detection, model evaluation, and practical AI infrastructure.

Education

Aug. 2024 – Sep. 2026

National Yang Ming Chiao Tung University

M.S. in Electrical Engineering

Hsinchu, Taiwan

Nov. 2023 – May 2024

National Taiwan University

Non-degree in Traditional Mandarin

Taipei, Taiwan

Aug. 2019 – Sep. 2023

Sepuluh Nopember Institute of Technology

B.Eng. in Electrical Engineering

Surabaya, Indonesia

Selected experience

Aug. 2024 – Present

Hsinchu, Taiwan

Graduate Research Student

Hucenrotia Lab, National Yang Ming Chiao Tung University

Developing a high-speed 3D ping-pong tracking system with RealSense D455, alongside a vision-controlled, 3D-printed robotic arm prototype.

Jan. 2025 – Jan. 2026

Zhubei, Taiwan

Part-Time Teacher

Pacific American School

Supported VEX robotics and Arduino robotic-arm projects, and taught Algebra 2.

Dec. 2022 – Jun. 2023

Surabaya, Indonesia

Robotics Intern

Artificial Intelligence and Health Technology Robotics, ITS

Integrated LiDAR, IMU, odometry, and RGB-D sensing; implemented SLAM, localization, path planning, and motion control.

Mar. 2020 – May 2023

Surabaya, Indonesia

Multicopter Drone Control and Vision Programmer

Bayucaraka UAV Research Team

Built autonomous flight-control and aerial vision work with ROS, OpenCV, YOLO, Gazebo, Mission Planner, and QGroundControl.

Technical skills

Programming
Python, C/C++, MATLAB, Bash
Robotics & control
ROS/ROS2, NVIDIA Isaac Sim, Gazebo, SLAM, Navigation, Kalman Filter, PID
AI & computer vision
PyTorch, TensorFlow, OpenCV, YOLO, Object Tracking, RealSense SDK
Hardware & design
Arduino, ESP32, Raspberry Pi, Sensor Interfacing, Autodesk Inventor, 3D Printing
Tools & environment
Git, Linux/Ubuntu, Conda, SSH, VS Code, LaTeX