Computer Science & Information Engineering graduate student at Asia University, Taiwan. Specializing in robotics, dynamic path planning, and image processing with an international research footprint across Asia and Europe.
I'm a motivated Computer Science researcher with a strong foundation in Electrical and Electronics Engineering. Currently pursuing my Master's at Asia University, Taiwan, with a perfect 4.30/4.30 GPA.
My academic journey has taken me across three continents — Bangladesh, India, Taiwan, and Germany — giving me a truly international research perspective. My current work at the Big Data Lab focuses on collision avoidance algorithms and wave propagation methods for autonomous mobile robots.
I thrive at the intersection of theory and practical engineering, combining image processing techniques with robotics to solve real-world navigation challenges.
Prof. Jeffrey J.P. Tsai · Asia University, Taiwan
Asia University is ranked among the top universities in Asia by Times Higher Education, with President Jeffrey J.P. Tsai leading international research excellence and global academic partnerships.
The EGF-MAT 4-Stage Skeleton (Local Thinning) is an interactive simulation developed as part of my research into skeletonization and wave propagation algorithms for autonomous robot navigation.
This experiment demonstrates the Euclidean Grassfire Function (EGF) applied across four progressive stages of skeleton extraction using local thinning — a core technique used in my path planning research for mobile robots operating in unknown environments.
Interact with the simulation below: draw obstacles, run the algorithm, and observe how the skeleton path evolves across each stage.
↑ Interactive simulation — scroll inside to interact with the canvas