If you are interested in exploring potential opportunities to work together, please contact me (Prof. Daw) with a brief statement about how we might collaborate and your CV.
In the AMC Lab, we work on engineering methods for development of AI-enabled systems that are safe, secure and reliable enough for being used in a safety-critical application, in other words certifiable. Our work is based on three areas: The first involves shifting the system specification paradigm from function-driven to data and learning properties-driven for data-intensive applications. The second area addresses building assurance of an AI-enabled system from data selection, through training, coding, testing, operation to the evolution. Furthermore, this area also comprises of building continuous assurance by creating system mitigation strategies. The third area entails the creation of an engineering solution based on the other research areas advances that make AI-enabled systems certifiable.