Faculty
Fengchun Qiao
Assistant Professor
ENB 369
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Biography
Fengchun Qiao is an assistant professor in the ±«Óãtv Bellini College of Artificial Intelligence, Cybersecurity and Computing. He teaches an undergraduate course in algorithms, a foundational subject that introduces students to the design and analysis of efficient computational methods for solving real-world problems. He anticipates teaching future courses related to machine learning and AI.
Before joining the ±«Óãtv in 2025, Qiao conducted research in the Deep-REAL Lab at the University of Delaware, where he focused on out-of-distribution generalization. He also interned at AWS AI Labs, working on vision-language models.
Research Interests
Qiao’s research centers on trustworthy machine learning, with a particular focus on out-of-distribution generalization. He integrates principles from robust optimization and graph theory to develop more reliable AI systems. His work investigates how models trained in one context – such as a specific region or hospital – can be expected to perform in new or evolving environments. This includes tackling generalization challenges in domains such as autonomous driving, healthcare, and environmental monitoring.
At ±«Óãtv, Qiao plans to establish a research lab dedicated to trustworthy AI, emphasizing model generalization and adaptation in safety-critical applications. His broader research interests include foundation models, probabilistic modeling, and causal inference.
He has published in top-tier conferences including the International Conference on Machine Learning (ICML), International Conference on Learning Representations (ICLR), Neural Information Processing Systems (NeurIPS), and the Conference on Computer Vision and Pattern Recognition (CVPR).
Honors and Awards
As a doctoral student at the University of Delaware, Qiao was honored with its Frank A. Pehrson Award for Outstanding Computer Science Research (2024), its Outstanding Graduate Student Award (2022), and its Distinguished Graduate Student Award (2021).
Education
Qiao earned a PhD in Computer Science from the University of Delaware in Newark, DE. He has a Master of Science in Computer Science from the University of Chinese Academy of Sciences in Beijing, China, and a Bachelor of Engineering in Electronic and Information Technology from Beijing Forestry University in Beijing, China.