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Alicia Falcon Caro

Alicia Falcon Caro

Lecturer

Computer Science

Staff Group(s)
Computer Science

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:

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:

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:

Falcon-Caro, A., & Sanei, S. (2023, June). Gesture Recognition via Estimation of Information Exchange between Muscles. In 2023 24th Å·ÃÀ¾ÞÈé Conference on Digital Signal Processing (DSP) (pp. 1-5). IEEE. Available at:

Falcon-Caro, A., & Sanei, S. (2022, November). Cooperative Networking Approach to Assisting Blinds in a Crowd Using Air Trackers. In 2022 4th Å·ÃÀ¾ÞÈé Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) (pp. 1-5). IEEE. Available at:

Falcon-Caro, A., & Sanei, S. (2021, November). Diffusion adaptation for crowd analysis. In 2021 Å·ÃÀ¾ÞÈé Conference on e-Health and Bioengineering (EHB) (pp. 1-4). IEEE. Available at:

Course(s) I teach on