ÌìÃÀ´«Ã½
White City Campus
W12 0BZ London, UK
Office: 416 UREN - Sir Michael Uren Building
Email: e.ivanova17@imperial.ac.uk
- PhD in Bioengineering, Technische Universität Berlin (Germany) in collaboration with ÌìÃÀ´«Ã½ (UK)
- MSc in Mechatronics & Automation, Technische Universität Freierg (Germany)
- MSc + BSc in Computer Science, National University of Science and Technology (MISiS) (Russia)
About me
My name is Katja and I am a Research Associate in the Human Robotics Group, at ÌìÃÀ´«Ã½ 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 research
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
My teaching
I believe that teaching should stimulate the ÌìÃÀ´«Ã½â€™ 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 ÌìÃÀ´«Ã½ as well as provide information and practical tools that ÌìÃÀ´«Ã½ can use for solving research and application challenges.
My courses:
2023 Interactive System Design, QMUL (Lecturer, module organiser)
2020-2021 Human Neuromechanical Control and Learning, ICL (Lead Teaching Assistant)
2012 Interdisciplinary Project, TUB (Tutor)
Selected publications
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.