Role
I am a lecturer and a researcher at the Cognitive Computing and Brain Informatics
Research Group (CCBI)
I am involved in delivering lectures and lab sessions for a broad range of modules across most of the courses in the Computer Science Department. Each academic year, I propose and supervise several UG Final Year Projects and MSc Major Projects, mostly related to mobile application development, robotics, medical applications, AI applied to biomedical engineering, and brain-computer interfaces (BCI).
My main research interest is in the area of artificial intelligence (AI) applied to medical
applications
Career overview
I joined NTU in 2020, where she is currently a Lecturer in Computer Science. I received the B.S. degree in Industrial Electronics Engineering from the University of Huelva, Huelva, Spain, in 2018 and M.S degree in Cybernetics and Communications in 2020 from NTU. I am currently finishing my Ph.D
degree with the Department of Computer Science. My research interests are in signal processing, machine learning, adaptive learning and biomedical engineering applications.
Research areas
PhD on Brain Computer Interfacing via EEG Hyperscanning.
Publications
Journal Papers:
Falcon-Caro, A., Shirani, S., Ferreira, J. F., Bird, J. J., & Sanei, S. (2024). Formulation of Common Spatial Patterns for Multi-task Hyperscanning BCI. IEEE Transactions on Biomedical Engineering. Available at: https://ieeexplore.ieee.org/document/10411071
Falcon-Caro, A., Peytchev, E., & Sanei, S. (2024). Adaptive Network Model for Assisting People with Disabilities through Crowd Monitoring and Control. Bioengineering, 11(3), 283. Available at: https://www.mdpi.com/2306-5354/11/3/283
Conference Papers:
Falcon-Caro, A., Frincu, M., & Sanei, S. (2023, July). A diffusion adaptation approach to model brain responses in an EEG-based hyperscanning study. In 2023 IEEE Statistical Signal Processing Workshop (SSP) (pp. 393-397). IEEE. Available at: https://ieeexplore.ieee.org/abstract/document/10207972
Falcon-Caro, A., & Sanei, S. (2023, June). Gesture Recognition via Estimation of Information Exchange between Muscles. In 2023 24th International Conference on Digital Signal Processing (DSP) (pp. 1-5). IEEE. Available at: https://ieeexplore.ieee.org/abstract/document/10167950
Falcon-Caro, A., & Sanei, S. (2022, November). Cooperative Networking Approach to Assisting Blinds in a Crowd Using Air Trackers. In 2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) (pp. 1-5). IEEE. Available at: https://ieeexplore.ieee.org/abstract/document/9965262
Falcon-Caro, A., & Sanei, S. (2021, November). Diffusion adaptation for crowd analysis. In 2021 International Conference on e-Health and Bioengineering (EHB) (pp. 1-4). IEEE. Available at: https://ieeexplore.ieee.org/abstract/document/9657730
Course(s) I teach on
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Undergraduate | Full-time / Sandwich
https://www.ntu.ac.uk/course/science-and-technology/ug/bsc-hons-computer-science
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Undergraduate | Full-time / Sandwich
https://www.ntu.ac.uk/course/science-and-technology/ug/mcomp-hons-computer-science
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Undergraduate | Full-time / Sandwich
https://www.ntu.ac.uk/course/science-and-technology/ug/bsc-computer-science-artificial-intelligence
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Undergraduate | Full-time
https://www.ntu.ac.uk/course/science-and-technology/ug/bsc-hons-computer-science-and-mathematics
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Undergraduate | Full-time / Sandwich
https://www.ntu.ac.uk/course/science-and-technology/ug/bsc-hons-software-engineering