Sergei Chuprov
Unit: The University of Texas Rio Grande Valley, College of Engineering and Computer Science, Department of Computer Science
Title: Assistant Professor
Research Expertise
Dr. Sergei Chuprov is an Assistant Professor (tenure-track) in the Department of Computer Science at the University of Texas Rio Grande Valley (UTRGV). His research enhances the resilience and security of intelligent systems, focusing on machine learning, decentralized systems, and data quality. In today’s interconnected environments, intelligent systems rely heavily on data processing for training machine learning models. A core focus of Dr. Chuprov’s work is developing robust defenses against adversarial attacks and ensuring data integrity in these distributed settings. This includes mitigating data poisoning in machine learning, particularly within federated learning, where secure aggregation is crucial. He also explores data provenance tracking and anomaly detection in decentralized sensor networks to ensure reliable data for decision-making. His research further addresses security in collaborative autonomous systems, such as sensor networks and interconnected vehicles. Dr. Chuprov has contributed to multi-disciplinary research projects funded by NSF, DoD, and other agencies. He currently participates in a large NSF-funded project integrating biology, AI, and engineering with field experiments, developing intelligent control systems using machine learning to optimize data collection and prediction for marine sediments analysis.
Areas of Expertise/Keywords
Machine Learning, Cybersecurity, Machine Learning Practical Applications, Machine Learning Security, Federated Learning, Intelligent Systems, Data Quality and Security Evaluation, Cyber-Physical Systems
