Priyanka Srivastava

Papers

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About

Priyanka Srivastava is a researcher focused on the critical intersection of autonomous systems and spacecraft reliability, with a primary emphasis on model-based fault diagnosis (MBFD). Her work addresses a fundamental challenge in modern space exploration: enabling robotic spacecraft to respond autonomously and correctly to dynamic environments and unexpected fault conditions. In her most cited paper, "Assurance of model-based fault diagnosis" (2018, 12 citations), Srivastava explores the motivations for onboard autonomy, particularly the need for rapid, reliable responses to faults without ground intervention. She further advances this field in "Assuring Correctness, Completeness, and Performance for Model-Based Fault Diagnosis Systems" (2019, 3 citations), where she tackles the rigorous verification of MBFD approaches—ensuring they are not only correct and complete but also performant under real-world constraints. Her contributions are vital for the future of scientific and commercial spacecraft, where quick, assured decision-making can mean the difference between mission success and failure. Srivastava's work is foundational for engineers and researchers developing trustworthy autonomous systems for the next generation of deep-space and Earth-orbiting missions.