A computer scientist and software engineer, Victoria is a Senior Researcher (Research Fellow) in the Centre for Assuring Autonomy (CfAA).
Her research and software development focuses on artificial intelligence (AI), anomaly detection, machine learning 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.
She 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 the University of York.
She has worked in industry as a software architect for medical diagnostics products; and as a software engineer on applications including condition monitoring and anomaly detection in industrial environments, and deep reinforcement learning for robot navigation.
Phone: +44 (0)1904 325500
Office: ISAE-mail: Send e-mail using web form
Research Group: