Research output per year
Research output per year
Personal profile
Overview
Overview
Dr. Abdullah was a Research Associates at the University of Manchester, he worked on topics of perception and theory of the mind in human-robot interaction. His work focuses on the understanding and resolution of how humans and robots dynamically interact with each other. This is vital for robots such as teleoperation systems, autonomous vehicles or for robotic arms, which physically interact with humans in an industrial, professional, or home service environment.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Engineering, Electrical and Electronic Engineering, Sensor Fusion and Signal Processing
1 Apr 2018 → 1 Mar 2022
Award Date: 1 Mar 2022
Master in Science, Electrical and Computer Engineering, St Mary's University of San Antonio
13 Jun 2013 → 31 Jul 2015
Award Date: 31 Jul 2015
Bachelor of Engineering, Bachelor of Electrical Engineering Technology
1 May 2008 → 13 Jul 2011
Award Date: 13 Jul 2011
Associate Degree in Electrical Technology
1 Aug 2006 → 4 Sep 2008
Award Date: 4 Sep 2008
Industrial High School Diploma in Electrical Technology
1 May 2003 → 2 Jun 2006
Award Date: 2 Jun 2006
Keywords
- Data analysis
- Pattern Recognition
- Sensor Fusion
- Deep Learning
- Human Gait Analysis Applications
- Convolutional Neural Network
- Perception
- Human-Robot Interaction
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Task Learning for Intention Detection using Deep Neural Networks and Robotic Arm Data in Glovebox
Alharthi, A., Tokatli, O., Lopez Pulgarin, E. J. & Herrmann, G., 16 Mar 2022, p. 1. 1 p.Research output: Contribution to conference › Poster
Open AccessFile26 Downloads (Pure) -
Fusion from Multimodal Gait Spatiotemporal Data for Human Gait Speed Classifications
Alharthi, A. & Ozanyan, K., 31 Oct 2021, p. 1. 4 p.Research output: Contribution to conference › Paper › peer-review
Open Access -
Gait Spatiotemporal Signal Analysis for Parkinsons Disease Detection and Severity Rating
Alharthi, A., Casson, A. & Ozanyan, K., 15 Jan 2021, In: IEEE Sensors Journal. 21, 2, p. 1838 - 1848 11 p., 9171856.Research output: Contribution to journal › Article › peer-review
25 Downloads (Pure) -
Spatiotemporal Analysis by Deep Learning of Gait Signatures from Floor Sensors
Alharthi, A., Casson, A. & Ozanyan, K., 1 Aug 2021, In: IEEE Sensors Journal. 21, 15, p. 16904 - 16914 11 p., 9425580.Research output: Contribution to journal › Article › peer-review
Open AccessFile86 Downloads (Pure) -
Multi-modality sensor fusion for gait classification using deep learning
YUNAS, S. U., Alharthi, A. & Ozanyan, K., 11 Mar 2020, p. 1-6. 6 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile236 Downloads (Pure)
Projects
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RAI: Centre for Robotics and Artificial Intelligence
Cangelosi, A., Lennox, B., Weightman, A., Dennis, L., Dixon, C., Fisher, M., Herrmann, G., Dickson, A., Lanzon, A., Stancu, A., Saiani, A., Freitas, A., Nini, A., Voronkov, A., Brass, A., Vijayaraghavan, A., Parslew, B., crowther, W., Grieve, B., Adorno, B., Jay, C., Wang, C. C. L., Todd, C., Soutis, C., Arsene, C., Dresner, D., Barrett, E., Gowen, E., Arvin, F., Podd, F., Brown, G., Reger, G., Cooper, G., Mairs, H., Yin, H., Kinloch, I., Eleftheriou, I., Li, J., Carrasco Gomez, J., Ainsworth, J., Sinha, J., Ozanyan, K., Smith, K., Twomey, K., Margetts, L., Ren, L., Zhang, L., Cordeiro, L., Rattray, M., Bissett, M., Elliot, M., Alvarez, M., Luján, M., Nabawy BSc, MSc, PhD, MRAeS, SMAIAA, FHEA, M., Peek, N., Marjanovic, O., Dorn, O., Dudek, P., Green, P., Connolly, P., Da Silva Bartolo, P. J., Gardner, P., Martin, P., Potluri, V., Curtis, R., Schmidt, R., Banach, R., Batista-Navarro, R. T., Kaski, S., Midson, S., Watson, S., Holm, S., Furber, S., Schlegel, V., Mirihanage, W., Mansell, W., Pan, W., Sampson, W., Sellers, W., Yang, W., Cai, P., Sun, Y., Alharthi, A., Macario Rojas, A., Serhan, B., Yu, C., Abara, D., Lopez Pulgarin, E., Faruq, F., Tavella, F., Semeraro, F., Liu, G., Fang, G., Niu, H., Taylor, H., Zhu, H., Collenette, J., Amano, K., Lo, K. C. J., Raggioli, L., Romeo, M., Ruocco, M., Ghaffari Saadat, M., Walmsley, M., Mubarik, A., Vinanzi, S., Su, Y., Mcaleese, H., Stringer, P., Stoican, R., Ye, R., Kurawa, S. S., Zhang, T., Krywonos, W., Xu, Y., Tian, Y., Henderson, A., Morley, D., Tallentire, J., Clayton, J., Hawthornthwaite, S. & Carlson, J.
Project: Research
Prizes
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Best student paper award IDEAL 2019
Alharthi, Abdullah (Recipient) & Ozanyan, Krikor (Recipient), 15 Nov 2019
Prize: Prize (including medals and awards)
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Thesis
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Sensor Signal Processing for Human Gait Deterioration Analysis by Machine Learning
Author: Alharthi, A., 1 Aug 2022Supervisor: Ozanyan, K. (Supervisor) & Casson, A. (Supervisor)
Student thesis: Phd
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