Han Zhao

Han Zhao is an Assistant Professor at the Siebel School of Computing and Data Science with a joint appointment in Electrical and Computer Engineering at the University of Illinois. His research spans machine learning foundations, focusing on domain adaptation, fairness in AI, multi-objective optimization, and transfer learning. His work bridges theoretical foundations with practical applications in computer vision and natural language processing.

Research directions include:

• Domain generalization and adaptation techniques
• Explainable and fair machine learning
• Scalable algorithms for data attribution
• Multi-objective deep learning optimization
• Geospatial foundation models

Zhao's recent publications demonstrate consistent focus on improving model robustness and interpretability. His 2024-2025 work addresses fundamental challenges in generalization, influence estimation, and efficient optimization, with applications ranging from graph neural networks to urban mobility analysis.