Xubo Yue

Xubo Yue is an Assistant Professor in the Department of Mechanical and Industrial Engineering at Northeastern University. His research focuses on federated data analytics, Bayesian optimization, continuous optimization, Gaussian processes, and deep learning. He holds a PhD in Industrial & Operations Engineering from the University of Michigan, Ann Arbor (2023).
His work bridges theoretical advancements with practical applications in advanced manufacturing, predictive maintenance, and sustainable materials discovery. Key affiliations include the Institute of Industrial and Systems Engineers (IISE), INFORMS, and the American Statistical Association (ASA).
Recent research emphasizes scalable federated learning frameworks for distributed systems, causal inference in sensor networks, and sharpness-aware optimization techniques to enhance generalization. His methodologies are applied to interdisciplinary domains such as materials science, IoT systems, and renewable energy simulations.

Research trends reveal a focus on:

• Federated learning architectures for privacy-preserving analytics
• Bayesian optimization for high-dimensional design spaces
• Integration of causal reasoning with machine learning systems
• Autonomous experimentation for accelerated materials discovery

No scientific awards are explicitly listed in the provided information. His academic advising and grant activities are not detailed in the current data.