Annachiara Ruospo

About

Annachiara Ruospo is a rising leader in the field of reliable and safe artificial intelligence for autonomous systems. Her research focuses on the intersection of hardware verification, on-line testing, and the dependability of neural network accelerators. She is particularly known for developing methodologies to assess and ensure the reliability of Artificial Neural Network (ANN)-based systems deployed in safety-critical domains such as autonomous vehicles and nano-drones. Her most cited work, "On-line Testing for Autonomous Systems driven by RISC-V Processor Design Verification" (2019, 12 citations), addresses the critical challenge of ensuring processor correctness in real-time autonomous operations. In her 2022 paper "Reliability Assessment Methodologies for ANN-based Systems," she further explores how deep learning solutions can be validated against hardware faults. Ruospo’s contributions are vital as AI moves into high-stakes environments where a single computational error can have catastrophic consequences. Her work is shaping the next generation of dependable, AI-driven autonomous platforms.

Research Focus

Key Achievements

Top Papers

1. 1
   On-line Testing for Autonomous Systems driven by RISC-V Processor Design Verification

   12 citations · 2019
2. 2
   Reliability Assessment Methodologies for ANN-based Systems

   2 citations · 2022

Key Collaborators

Contact & Links