معرفی
Xiaoxiao Du is a Lecturer in Robotics and an Assistant Research Scientist at the University of Michigan, affiliated with the Ford Center for Autonomous Vehicles (FCAV). She holds a dual role as a Lecturer in Electrical Engineering and Computer Science (EECS) from 2022 to 2023. Her research focuses on machine learning, sensor fusion, and computer vision for applications in autonomous vehicles, remote sensing, and precision agriculture. She develops methods for data interpretation, integration, and analysis, particularly in pedestrian perception, scene understanding, and trajectory prediction.
Her work emphasizes real-world deployments, including human pose prediction and anomaly detection systems. She has contributed to over 20 peer-reviewed publications, with recent trends in cross-spectral fusion (e.g., MambaST), label uncertainty handling (e.g., Bi-Capacity Choquet Integral), and bi-directional trajectory prediction frameworks (e.g., BiPOCO). Her research bridges theoretical advancements with practical implementations in autonomous systems.
Dr. Du’s teaching portfolio includes courses related to robotics and machine learning. Her lab collaborations span interdisciplinary projects at FCAV, integrating robotics, AI, and environmental sensing. She actively publishes in top venues like IROS, ICRA, and IEEE journals, maintaining a strong focus on innovation in autonomous perception and decision-making systems.
