Fengying Dang

Fengying Dang is an Assistant Professor in the Department of Electrical and Computer Engineering at Michigan Technological University. Her research focuses on enhancing robotic intelligence through perception, sensor data utilization, and intelligent control systems for autonomy in complex environments.

• Education: PhD in Electrical and Computer Engineering (2021) from George Mason University, B.S. in Detection, Navigation & Control (2015) from Northwestern Polytechnical University.

Research Interests: Designing robust perception/localization systems using vision and non-vision sensors, learning-based control algorithms for robotics, and applications in agricultural automation (e.g., weed detection in cotton systems) and bio-inspired underwater vehicles.

Publication Trends: Key topics include autonomous driving, weed detection, flow sensing for AUVs, and deep learning in robotics. Her work combines sensor fusion, model reduction techniques, and control algorithms.

Laboratory: Leads research in autonomous systems and robotics, mentoring doctoral and master's students. Alumni include MS EE graduate Benjamin Wittrup (2025), now employed at Treetown Tech LLC.