Dr. Sara Bernardini joined Royal Holloway's Department of Computer Science in September 2015.
Before coming to Royal Holloway, she spent three years as Research Associate in the Department of Informatics of King's College London as a member of the Planning Group, one of the world leading groups in AI Task Planning.
At King's, Sara specialised in autonomous surveillance missions using networks of fixed and mobile sensors, both in aerial and underwater domains.
Prior to King's, Sara was a research fellow at UCL Institute of Education where, as part of a highly interdisciplinary team, she focused on autonomous and intelligent agents for children with autism.
Sara received her PhD degree in Artificial Intelligence from the University of Trento (Italy) in 2008. During her PhD, from 2005 to 2007, she was a research scientist at NASA Ames Research Center (California, USA) where she worked on autonomous planning agents for space mission operations.
Sara's research interest and professional experience revolve around designing and building intelligent and autonomous agent and multi-agent systems through automated decision-making techniques. In particular, Sara has been conducting extensive research on automated planning for temporal and metric domains, planning domain modelling languages, domain-independent search control, intelligent control and probabilistic reasoning.
The common theme of Sara's research to date has been to create intelligent systems that have an impact on the real world. By extensively collaborating with industry and end users, she has built practical applications for use in real scenarios in a number of different fields: space mission operations, surveillance missions, both using aerial and underwater vehicles, and assistive technology. In all these areas, she has developed systems capable of adapting their behaviours to environments that are complex, rapidly changing, and uncertain. These systems are currently in use in real-world settings and their description appears in leading conferences and journals in the field of autonomous systems.