Krishna Pattipati

Krishna Pattipati is a Board of Trustees Distinguished Professor and UTC Professor of Systems Engineering in the Department of Electrical and Computer Engineering at the University of Connecticut. His research spans systems engineering, battery management, fault diagnostics, and machine learning applications in complex engineering systems.

Professor Pattipati's research interests focus on developing advanced methodologies for system health management, including:

• Battery state estimation and management algorithms for energy storage systems
• Fault diagnosis and prognosis in power electronics and manufacturing systems
• Machine learning techniques for predictive maintenance
• Multi-objective optimization for decision-making under uncertainty
• Probabilistic inference methods for autonomous systems

Analysis of his recent publications (2021-2025) reveals dominant research themes in battery management systems (state estimation, OCV modeling, internal resistance), tool health monitoring in manufacturing (wear classification, condition monitoring), and probabilistic path planning algorithms. His work consistently integrates theoretical frameworks with practical applications in energy, manufacturing, and robotics.

Significant scientific recognitions include:

• Board of Trustees Distinguished Professor honor (University of Connecticut's highest faculty award)
• Endowed UTC Professorship in Systems Engineering