Senior Lecturer · Cyber Security & AI

SegunPopoola.

Anglia Ruskin University, Cambridge

Researcher at the intersection of federated deep learning, IIoT security, and AI-enabled intrusion detection. Recognised among the World's Top 2% Most-Cited Scientists (Stanford/Elsevier) and endorsed for Global Exceptional Talent by The Royal Society, UK.

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World's Top 2% Scientists Royal Society Endorsement IEEE Member #96166851 h-index 32 3,697+ Citations Faculty Award 2025
Portrait of Dr. Segun Popoola
Segun I. Popoola
PhD · Senior Lecturer in Cyber Security
Faculty of Science & Engineering
Anglia Ruskin University
3697+
GS Citations
32
h-index
104+
Scopus Pubs
70+
i10-index
ARU Staff Profile ↗ Google Scholar ↗ Scopus ↗ ResearchGate ↗ segunpopoola15@gmail.com →
Metrics — March 2025
3,697+
Google Scholar Citations
32
h-index (Google Scholar)
104+
Scopus Publications
23
h-index (Scopus)
19
h-index (Web of Science)
£574k+
Research Funding
Featured Publications
Highly Cited Research
IEEE IoT Journal · 2022 · 237+ citations
Federated Deep Learning for Zero-Day Botnet Attack Detection in IoT-Edge Devices
IEEE Internet of Things Journal, 9(5), 3930–3944
Read paper ↗
IEEE IoT Journal · 2021 · 184+ citations
Hybrid Deep Learning for Botnet Attack Detection in Internet of Things Networks
IEEE Internet of Things Journal, 8(6), 4944–4956
Read paper ↗
Sensors · 2021
SMOTE-DRNN: A Deep Learning Algorithm for Botnet Detection in the Internet-of-Things Networks
Sensors, 21(9), 2985
Read paper ↗
View all 104+ publications →
Explore
Research
6 active research areas including federated learning, IIoT, and 6G security
Funding
£574k+ in Innovate UK grants across 5 active projects
Impact
Nigeria AI Strategy Co-Chair · Royal Society Talent · Scientific Reports Editorial Board