A computer scientist and software engineer, Victoria Hodge is a Senior Researcher (Research Fellow) in the Centre for Assuring Autonomy (CfAA) within the University of York’s Department of Computer Science. Her research and software development focuses on artificial intelligence (AI), machine learning (ML), anomaly detection and safety assurance across a variety of domains focused on robotics and autonomy.
Victoria currently works on a number of projects in through-life safety assurance of AI for autonomous systems - with particular focus on safe robotics platforms, and assuring AI and robots in uncertain environments.
Victoria has authored over 70 publications covering: AI; ML; anomaly detection; data analytics; data-processing frameworks; neural networks; robotics and safety assurance.
She holds a PhD in computer science from University of York and a Bachelor of Science (B.Sc. Hons) degree from University of York.
She has worked in industry as a software architect for medical diagnostics products; and as a software developer on applications including: condition monitoring and anomaly detection in industrial environments, and deep reinforcement learning for robot navigation. She has also developed an architecture and visualization framework for scientific workflows.
