Manolis Chiou

Manolis Chiou is a Lecturer (Assistant Professor) in Computer Science at Queen Mary University of London, part of the School of Electronic Engineering and Computer Science. His expertise lies in Human-Robot Teaming and Interaction within Variable Autonomy systems, emphasizing safety-critical and hazardous environments. Prior roles include Research Fellow at the University of Birmingham, leading the human-robot teaming group and co-founding the Extreme Robotics Lab.

Education: PhD in Robotics and AI (University of Birmingham, 2017); MSc in Computational Intelligence (University of Sheffield, 2012); BEng in Automation Engineering (University of West Attica, 2011).

Research focuses on developing AI/robotics frameworks for seamless human-robot collaboration, drawing on methods from AI, robotics, human factors, and cognitive science. Key themes include trust models in autonomous systems, variable autonomy paradigms, and operator workload management. Recent work explores robot health indicators, neurosymbolic control, and field-tested disaster response applications.

Teaching includes modules on Computational Creativity and Machine Learning. His research has produced over 30 publications since 2015, with a focus on advancing mixed-initiative systems and trustworthy AI in robotics.