Academic Qualification

Ph.D. in Electrical and Computer Engineering (University of Macau)

Master’s in computer science (University of Macau)

Bachelor’s in computer science (University of Macau)

Teaching Area

Algorithms Analysis

Artificial Intelligence

Cyber Security

Application Development

Computer Programming

Machine learning

Research Area

Machine Learning in drug discovery

Cybersecurity

Internet of Things (IoT)

Machine Learning and its applications

Working Experience

Sep. 2024 ~ present, Assistant Professor, School of Computer Science and Engineering, Faculty of Innovation Engineering, MUST.

Dec. 2021 ~ Mar. 2023, Data Scientist / Machine Learning Contractor at Mach Innovation (Hong Kong Company).

Academic Publications

1.          Brito, R., Fong, S., Cho, K., Song, W., Wong, R., Mohammed, S., & Fiaidhi, J. (2016). GPU-enabled back-propagation artificial neural network for digit recognition in parallel. The Journal of Supercomputing, 72, 3868-3886.

2.          Brito, R., Fong, S., Cho, K., Song, W., Wong, R., Mohammed, S., & Fiaidhi, J. (2016). Towards implementation of residual-feedback GMDH neural network on parallel GPU memory guided by a regression curve. The Journal of Supercomputing, 72, 3993-4020.

3.          Brito, R., Fong, S., Song, W., Cho, K., Bhatt, C., & Korzun, D. (2017). Detecting Unusual Human Activities Using GPU-Enabled Neural Network and Kinect Sensors. Internet of Things and Big Data Technologies for Next Generation Healthcare, 359-388.

4.          Brito, R., Fong, S., Wu, Y., & Deb, S. (2018, March). A Novel Algorithm for Neural Network Architecture Generation, Parameter Optimization and Feature Selection: ParFeatArch Generator. In Proceedings of the 2nd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (pp. 17-23).

5.          Brito, R., Fong, S., Zhuang, Y., & Wu, Y. (2017, December). Generating neural networks with optimal features through particle swarm optimization. In Proceedings of the International Conference on Big Data and Internet of Thing (pp. 96-101).

6.          Brito, R., Wong, M. C., Zhang, H. C., Da Costa Junior, M. G., Lam, C. S., & Wong, C. K. (2021). Instantaneous active and reactive load signature applied in non‐intrusive load monitoring systems. IET Smart Grid, 4(1), 121-133.

7.          Brito, R., Biuk-Aghai, R. P., & Fong, S. (2021). GPU-based parallel Shadow Features generation at neural system for improving gait human activity recognition. Multimedia Tools and Applications, 80, 12293-12308.

8.          Wu, Y. J., Brito, R., Choi, W. H., Lam, C. S., Wong, M. C., Sin, S. W., & Martins, R. P. (2022). IoT cloud-edge reconfigurable mixed-signal smart meter platform for arc fault detection. IEEE Internet of Things Journal, 10(2), 1682-1695.

Professional Certification and Awards

University of Macau First Hackathon 2^nd place winner.

Interviewed by the University of Macau reporters due to fluency in the Mandarin language.

Awarded multiple CVEs on Gitlab’s bug bounty program:

CVE-2024-7057 - https://about.gitlab.com/releases/2024/07/24/patch-release-gitlab-17-2-1-released/#reports-can-access-and-download-job-artifacts-despite-use-of-settings-to-prevent-it.

CVE-2024-5318 - https://about.gitlab.com/releases/2024/05/22/patch-release-gitlab-17-0-1-released/#guest-user-can-view-dependency-lists-of-private-projects-through-job-artifacts

CVE-2023-4532 - https://about.gitlab.com/releases/2023/09/28/security-release-gitlab-16-4-1-released/#unauthorised-association-of-ci-jobs-for-machine-learning-experiments

CVE-2023-4018 - https://about.gitlab.com/releases/2023/08/31/security-release-gitlab-16-3-1-released/#user-is-capable-of-creating-model-experiment-and-updating-existing-run's-status-in-public-project

CVE-2023-1936 - https://about.gitlab.com/releases/2023/06/29/security-release-gitlab-16-1-1-released/#private-email-address-of-service-desk-issue-creator-disclosed-via-issues-api

Finished a 30-hour Chinese-Portuguese simultaneous interpretation short course (Certification).