Zijie Zhang

Zijie Zhang is an Assistant Professor in the Department of Computer Science at the University of Texas at San Antonio (UTSA), affiliated with the College of Sciences. His research focuses on federated learning, graph-based machine learning, and trustworthy AI systems. He holds a Ph.D. in Computer Science from Auburn University and an M.S. from Stevens Institute of Technology.

• Education:
• Ph.D. in Computer Science, Auburn University
• M.S. in Computer Science, Stevens Institute of Technology

His work emphasizes secure and robust machine learning techniques, including adversarial defense mechanisms, federated learning optimizations, and graph alignment algorithms. Recent publications explore topics like machine unlearning, resilient graph matching, and cross-lingual knowledge graph alignment. His research bridges theoretical advancements with practical applications in distributed systems and cybersecurity.

Dr. Zhang’s contributions address challenges in privacy, model efficiency, and adversarial robustness, reflecting a commitment to advancing trustworthy AI methodologies.