A computer scientist and software developer, Victoria Hodge is a Senior Researcher 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, Anomaly Detection and Safety Assurance across a variety of domains focused on robotics.
Victoria has authored over 70 publications covering: Machine Learning and AI; Neural Networks; Anomaly Detection; Safety Assurance; Robotics; Parallel and Distributed Data Processing; and Information Retrieval.
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 in industrial environments, anomaly detection in large-scale time-series data sets, and deep reinforcement learning for robot navigation. She has also developed an architecture and visualization framework for scientific workflows.
Bachelor of Science (B.Sc. Hons) in Computer Science
University of York
Ph.D. in Computer Science
Integrating Information Retrieval & Neural Networks
University of York