Papers
5
Total Citations
128
H-Index
4
About
Dr. Kuan‐Chang Chang is a pioneering researcher at the intersection of sustainable materials, wearable electronics, and intelligent robotic systems. His most impactful work centers on developing deformable, resilient triboelectric nanogenerators from recycled coffee waste, achieving 98 citations for its breakthrough in self-powered smart sensors and wearable energy harvesting. This innovation demonstrates how waste-to-energy approaches can create mechanically durable, eco-friendly power sources for next-generation wearables. Dr. Chang also advances machine learning technologies and their applications, with 18 citations for his comprehensive work in this domain. In robotics, he has designed low-cost intelligent systems, including a shortest-distance maze-solving robot that autonomously integrates wall-tracking and flood-fill algorithms, and an Arduino-based line follower using fuzzy logic control. His research extends to sustainable smart home solutions, exploring IoT systems powered by photovoltaic cells. With over 128 total citations across his key publications, Dr. Chang’s contributions uniquely bridge materials science, artificial intelligence, and practical engineering—offering scalable, environmentally conscious solutions for wearable tech, autonomous navigation, and green energy systems that inspire both academic and industrial innovation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Advanced Machine Learning Technologies and Applications18 citations · 2021
- 3Shortest Distance Maze Solving Robot6 citations · 2020
- 4Arduino Line Follower Using Fuzzy Logic Control4 citations · 2022
- 5