Postgraduate research students

Omodolapo Victor Babalola

Office: Room G102, School of Computing Science, Sir Alwyn Williams Building, 18 Lilybank Gardens, Glasgow, G12 8RZ.

Email: o.babalola.1@research.gla.ac.uk 

ORCID iDhttps://orcid.org/0000-0002-8420-4638

Research title: Resilient Privacy-Preserving Tree-Based Federated Learning for Network Anomaly Detection in the Internet of Things

Research summary

My PhD work focuses on Distributed Machine Learning based solutions for securing IoT devices and their network.

Publications

List by: Type | Date

Jump to: 2026
Number of items: 2.

2026

Babalola, Omodolapo ORCID logoORCID: https://orcid.org/0000-0002-8420-4638, Cano, Jose ORCID logoORCID: https://orcid.org/0000-0002-2243-389X, Tran, Nguyen Hoang, Deepaisarn, Somrudee and Truong, Nguyen ORCID logoORCID: https://orcid.org/0000-0001-9359-524X (2026) Survey of privacy preserving federated tree-based learning. Artificial Intelligence Review, 59(7), 150. (doi: 10.1007/s10462-026-11555-0)

Babalola, Omodolapo ORCID logoORCID: https://orcid.org/0000-0002-8420-4638, Cano, Jose ORCID logoORCID: https://orcid.org/0000-0002-2243-389X, Deepaisarn, Somrudee and Truong, Nguyen ORCID logoORCID: https://orcid.org/0000-0001-9359-524X (2026) FedRand: A Federated Random Forest Learning Technique for Anomaly Detection in IoT Networks. In: 24th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2025), Guiyang, China, 14-17 Nov 2025, pp. 1174-1181. ISBN 9798331565329 (doi: 10.1109/Trustcom66490.2025.00135)

This list was generated on Fri Nov 6 10:58:29 2026 GMT.
Jump to: Articles | Conference Proceedings
Number of items: 2.

Articles

Babalola, Omodolapo ORCID logoORCID: https://orcid.org/0000-0002-8420-4638, Cano, Jose ORCID logoORCID: https://orcid.org/0000-0002-2243-389X, Tran, Nguyen Hoang, Deepaisarn, Somrudee and Truong, Nguyen ORCID logoORCID: https://orcid.org/0000-0001-9359-524X (2026) Survey of privacy preserving federated tree-based learning. Artificial Intelligence Review, 59(7), 150. (doi: 10.1007/s10462-026-11555-0)

Conference Proceedings

Babalola, Omodolapo ORCID logoORCID: https://orcid.org/0000-0002-8420-4638, Cano, Jose ORCID logoORCID: https://orcid.org/0000-0002-2243-389X, Deepaisarn, Somrudee and Truong, Nguyen ORCID logoORCID: https://orcid.org/0000-0001-9359-524X (2026) FedRand: A Federated Random Forest Learning Technique for Anomaly Detection in IoT Networks. In: 24th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2025), Guiyang, China, 14-17 Nov 2025, pp. 1174-1181. ISBN 9798331565329 (doi: 10.1109/Trustcom66490.2025.00135)

This list was generated on Fri Nov 6 10:58:29 2026 GMT.

Prior publications

Works published at other institutions

Article

Badamasi, Umar Mohammed, Khaliq, Sharjeel, Babalola, Omodolapo, Musa, Shafiu, Iqbal, Tahir (2020) A deep learning based approach for DDoS attack detection in IoT-enabled smart environments International Journal of Computer Networks and Communications Security OMODOLAPO BABALOLA.

Supervisors

Grants

My doctoral studies are funded by the Petroleum Technology Development Fund (PTDF)

Teaching

COMPSCI1006 CS1F - Computing Fundamentals 2024-25

COMPSCI5012 Internet Technology (M) 2024-25