معرفی
Mengdi Huai is an Assistant Professor in the Department of Computer Science at Iowa State University. She earned her Ph.D. in Computer Science from the University of Virginia under Prof. Aidong Zhang. Her research focuses on trustworthy AI, including explainable machine learning, adversarial robustness, privacy preservation, and fairness. She holds grants such as an NSF award for security in machine unlearning and has been recognized with the AAAI New Faculty Highlights (2024), Rising Star awards in EECS and Data Science (2021), and the John A. Stankovic Research Award (2021).
Her educational background includes a Ph.D. from UVA (2021) and earlier degrees from institutions like the University of Science and Technology of China. She teaches courses like Machine Learning (COM S 573) and Advanced Topics in Computational Intelligence (COM S 672).
Dr. Huai’s research spans security/privacy in machine unlearning, adversarial attacks on diffusion models, and attention mechanisms in vision transformers. Her work has been published in top venues like ICML, AAAI, KDD, and NeurIPS. She serves on program committees for AAAI, IJCAI, CVPR, and others, and reviews for journals like IEEE Transactions on Neural Networks and TKDE.
Her lab focuses on advancing AI systems that are robust, interpretable, and privacy-aware. Recent grants include NSF support for machine unlearning security. She advises numerous students in these areas and collaborates internationally on projects like predictive diffusion models for healthcare and federated learning robustness.
