Shaojie Tang

Shaojie Tang is a Professor in the Management Science and Systems department at the School of Management, University at Buffalo. He serves as the Associate Director of the AI and Management Science Institute for Artificial Intelligence and Data Science. His research focuses on Machine Learning, Responsible AI, and Combinatorial Optimization, with applications in business and data science.

• PhD from Illinois Institute of Technology

His work spans interdisciplinary domains including Federated Learning, Recommender Systems, and Optimization techniques. Key subfields involve Personalized AI, Tensor Completion, and Algorithm Design for collaborative systems.

Recent publications from 2025 and 2024 highlight his leadership in Federated Learning, Neural Network Decoupling, and Strategic AI Deployment. Trends include balancing personalization with collaboration, enhancing model robustness, and cross-modal adaptation in distributed environments.

Professional affiliations include IEEE, ACM, and INFORMS. He advises graduate students in theoretical and applied AI research, though specific advisees are not listed publicly.

His research teams operate under the Institute for Artificial Intelligence and Data Science, advancing scalable solutions for dynamic business challenges.