Dr Otar Akanyeti

Dr Otar Akanyeti

Lecturer in Computer Science

Department of Computer Science

Contact Details

Profile

I did my BSc in Electronic Engineering and MSc in Embedded Systems and Robotics. My PhD work focused on robot learning by demonstration under the supervision of Prof Ulrich Nehmzow at University of Essex. I investigated formal ways of developing controllers for mobile robots using machine learning and system identification methods. After my PhD, I joined Dr Paolo Fiorini’s research group in Verona, Italy to work in an EU-FP7 project, which interfaced biology and engineering to develop a bio-inspired fish robot with an artificial lateral line. My growing interest in the biological aspects of movement and sensing led me to join Dr James C. Liao’s laboratory at Whitney Institute for Marine Biology in University of Florida. There, I investigated the underlying principles of fish locomotion in steady and turbulent flows for efficient movement and energy capture and the organisation of the lateral line system from a distributed sensing perspective. In 2017, I took up a Lectureship in the Department of Computer Science at Aberystwyth University. In Aberystwyth, I have expanded my research portfolio to human health, mainly focusing on artificial intelligence and chronic disease management. With Dr Federico Villagra from Institute of Biology, Environmental and Rural Sciences, we have founded the Aberystwyth Stroke Research Group.

Teaching

Research

My research program has two main strands: bio-inspired robotics and health informatics.

Bio-inspired robotics: I draw from the fields of engineering, physics, computer science and biology to design new sensors and actuators that can improve the sensing capability, propulsive efficiency, and maneuverability of underwater robots. I also create new data processing and control systems that can enhance autonomy. In addition, I employ a combination of interdisciplinary approaches to study biomechanical, hydrodynamic, and neural mechanisms of how fishes interact with their environments. I am interested in biomimetic fish robots, real-time hydrodynamic imaging using novel arrays of flow/pressure sensors inspired from the lateral line system of fishes and flow-relative control. In recent years, I have also become interested in biological collective intelligence and its applications to data mining and swarm robotics.

Health Informatics: I work closely with clinicians, biologists, neuroimaging experts and clinical exercise scientists to improve stroke care pathways using wearable devices, robotics and artificial intelligence. I aspire to develop new technologies that can be used in community and clinical settings. We also tackle fundamental research questions in artificial intelligence (integrating data from multiple resources to improve diagnostic and predictive tools), neuroscience (how brain injury impacts motor and cognitive aspects of human locomotion), neurorehabilitation (neural, physiological and biomechanical mechanisms of recovery), health outcomes (short and long-term benefits of healthcare interventions) and preventive medicine (discovering new biomarkers or designing novel technology-led healthcare interventions).

 

Publications

Fetherstonhaugh, SEAW, Shen, Q & Akanyeti, O 2021, 'Automatic segmentation of fish midlines for optimizing robot design', Bioinspiration and Biomimetics, vol. 16, no. 4, 046005. https://doi.org/10.1088/1748-3190/abf031
Hamidinekoo, A, Pieciak, T, Afzali, M, Akanyeti, O & Yuan, Y 2021, Glioma Classification Using Multimodal Radiology and Histology Data. in A Crimi & S Bakas (eds), Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12659 LNCS, Springer Nature, pp. 508-518, 6th International MICCAI Brainlesion Workshop, BrainLes 2020 Held in Conjunction with 23rd Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2020, Virtual, Online, 04 Oct 2020. https://doi.org/10.1007/978-3-030-72087-2_45
Haehnel-Taguchi, M, Akanyeti, O & Liao, JC 2018, 'Behavior, Electrophysiology and Robotics Experiments to Study Lateral Line Sensing in Fishes', Integrative and Comparative Biology, vol. 58, no. 5, icy066, pp. 874-883. https://doi.org/10.1093/icb/icy066
Tuci, E, Alkilabi, MH & Akanyeti, O 2018, 'Cooperative Object Transport in Multi-robot Systems: A Review of the State-of-the-Art', Frontiers in Robotics and AI, vol. 5, 59. https://doi.org/10.3389/frobt.2018.00059
Aal-Yhia, AHH, Malcolm, P, Akanyeti, O, Zwiggelaar, R & Tiddeman, B 2018, Groupwise Non-rigid Image Alignment With Graph-based Initialisation. in T Gary K. L. & V Franck (eds), Computer Graphics and Visual Computing (CGVC). The Eurographics Association, pp. 15-21, Computer Graphics & Visual Computing (CGVC) 2018, 13 Sep 2018. https://doi.org/10.2312/cgvc.20181203
More publications on the Research Portal