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.systa-s.com 

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

Research title: Robust Privacy-Preserving Federated Learning for securing IoT

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, (Accepted for Publication)

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 Sat Apr 4 14:13:41 2026 BST.
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, (Accepted for Publication)

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 Sat Apr 4 14:13:41 2026 BST.

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