Mia Y. Wang

Assistant Professor

Education

PhD Technology, Purdue University

MS Computer and Information Technology, Purdue University

BA Music Performance, Tongji University, China

Research Interest

Dr. Wang’s research focuses on developing advanced drone technologies to enhance autonomy, adaptability, and operational reliability in diverse environments. Her work explores innovative navigation strategies that enable drones to function effectively in settings where traditional positioning methods are unreliable or unavailable. She is particularly interested in integrating multiple sensing techniques to improve drone perception, detection, and tracking capabilities, allowing for more precise environmental awareness and interaction. Additionally, she investigates the seamless transition between aerial and underwater drone operations, expanding their applications in fields such as environmental monitoring, logistics, and security. Through her leadership at the Drone Lab at the College of Charleston, she fosters interdisciplinary collaboration, mentoring students and working with industry partners to translate research into practical solutions. Her goal is to advance drone systems that are safer, more efficient, and versatile, addressing real-world challenges and pushing the boundaries of autonomous technology.


 

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Research Lab

Dr. Wang in the Drone Lab

The Drone Lab
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Courses Taught

CSCI 220 - Programming I

CSCI 230 - Data Structures and Algorithms

DATA 507 - Scientific Computing in Data Science

Selected Publications

Ding, Yi, Xinyue Yang, Wengang Zhang, Wei Lyu, and Mia Y. Wang. "Using ERPs to unveil the authenticity evaluation and neural response to online rumors." Scientific Reports 14, no. 1 (2024): 31274. 

Wang, Mia Y., Daisy Clavijo Ramirez, Emma Noonan, Mackenzie Linn, and Qian Zhang. "A Comprehensive Dataset and Visualization Tool for Drone Acoustic Signatures." In 2024 Artificial Intelligence x Humanities, Education, and Art (AIxHEART), pp. 13-17. IEEE, 2024.

Wang, Mia Y., Zhiwei Chu, C. Entzminger, Y. Ding, and Q. Zhang. "Visualization and interpretation of mel-frequency cepstral coefficients for uav drone audio data." In Proceedings of the 13th International Conference on Data Science, Technology and Applications-DATA, INSTICC. SciTePress, pp. 528-534. 2024.