Imperial College London
White City Campus
W12 0BZ London, UK
Office: 416 UREN - Sir Michael Uren Building
- PhD in Bioengineering, Technische Universität Berlin (Germany) in collaboration with Imperial College London (UK)
- MSc in Mechatronics & Automation, Technische Universität Freierg (Germany)
- MSc + BSc in Computer Science, National University of Science and Technology (MISiS) (Russia)
My name is Katja and I am a Research Associate in the Human Robotics Group, at Imperial College London as well as a Lecturer in Human-Machine Interaction at Queen Mary University of London. I am interested in multimodal human-robot interaction and haptic communication between agents as part of user-centred robotics.
My long-term research goal is to develop assistive robotic systems for medical applications and solutions for robot-assisted motor learning in diverse fields that are designed with humans and for humans. To achieve this goal I focus on human users by considering and integrating factors from robotics, data science, neuroscience, psychology and clinical expertise. In my research, I follow an experimental approach that is data-driven in developing new technology and quantifying user ability.
My previous research projects:
2020-2023 EU H2020 project CONBOTS
2020-2022 EPSRC project FAIR-SPACE
2017-2018 DAAD short-term project Adaptive Multimodal Control Strategies for Neurorehabilitation
2014-2017 German-founded project BeMobile: Regain Mobility and Motility
I believe that teaching should stimulate the students’ critical thinking and motivate them to develop independent creative solutions. In my teaching, I intend to facilitate it through interdisciplinary and hands-on approaches supported by strong theoretical foundations. I see myself as a knowledge mediator rather than a teacher and aim to create space for discussions and cooperation between students as well as provide information and practical tools that students can use for solving research and application challenges.
2023 Interactive System Design, QMUL (Lecturer, module organiser)
2020-2021 Human Neuromechanical Control and Learning, ICL (Lead Teaching Assistant)
2012 Interdisciplinary Project, TUB (Tutor)
Ivanova, E., Eden, J., Carboni, G., Krüger, J., & Burdet, E. (2022). Interaction with a reactive partner improves learning in contrast to passive guidance. Scientific Reports, 12(1), 15821.
Ivanova, E., Eden, J., Zhu, S., Carboni, G., Yurkewich, A., & Burdet, E. (2021). Short time delay does not hinder haptic communication benefits. IEEE Transactions on Haptics, 14(2), 322-327.
Ivanova, E., Carboni, G., Eden, J., Krüger, J., & Burdet, E. (2020). For motion assistance humans prefer to rely on a robot rather than on an unpredictable human. IEEE Open Journal of Engineering in Medicine and Biology, 1, 133-139.