Dr. Andrew Sogokon (Senior Research Fellow)
Dr. Sogokon completed his PhD at the University of Edinburgh. His research is in the area of cyber-physical systems, particularly formal modelling and verification of so-called hybrid systems. His research interests include non-linear ODEs, formal verification, optimisation, autonomous systems, data-driven control and rigorous analysis of modern control systems.
Dr. Luke Moffat (Research Associate)
Dr. Moffat completed his PhD in Philosophy at the University of Kent. His research intersects the ethics of technology, nature-philosophy and more-than-human perspectives. He currently works with Mobilities Research as well as Ethical, Legal and Social Issues (ELSI) of Autonomous Systems.
Eduardo Soares (Research Associate)
Eduardo is currently in the 3rd year of his PhD at Lancaster University researching “Transparent Deep Learning Classifier of Driving Scenarios able to Identify and Learn from Unseen Situations” (funded by Ford). His research interests include: Explainable AI, explainable deep learnings, weak supervision, and novelty detection.
Prof. Weisi Guo (Machine Intelligence)
Prof. Guo is the Director of the Smart Living Grand Challenge and the Head of the Applied AI Group. His research designs data-driven solutions for socio-cyber-physical ecosystems and how these can be designed for challenging environments or tasks, whilst integrating human domain knowledge.
Dr. Burak Yuksek (Research Fellow)
Dr. Yuksek’s research focusses on mathematical modelling, guidance, navigation and control (GNC) systems for fixed-wing and rotary-wing aerial platforms. His current work includes adaptive control theory, reinforcement learning applications on flight control systems and motion planning for urban air mobility and air defence.
Dr Oscar Julian Gonzalez Villarreal (Research Fellow)
Dr. Gonzalez Villarreal’s research interests are in the development and application of advanced Fault-Tolerant Control and Obstacle Avoidance Methods for improving the trustworthiness of autonomous systems.