Celestine Iwendi
Celestine Iwendi is a professor of artificial intelligence whose published work applies machine learning to patient health and recommendation systems. He earned degrees from Nnamdi Azikiwe University, Uppsala University, and the University of Aberdeen between 1998 and 2013. His 2020 study used a boosted random forest to predict COVID-19 patient health; in 2022, he coauthored an item-to-item machine-learning recommendation model. He chaired the IEEE Computer Society Worldwide Election Committee in 2024; IEEE ComSoc selected him for its 2025–2026 Distinguished Lecturer term, and he received the Herbert Simon Award in 2025 for the 2022 recommendation paper. As of October 2026, he is an AI professor and head of CIoTh at the University of Greater Manchester; the 2026 ranking places him second in Great Britain and 57th worldwide in AI in healthcare.
Timeline
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1998–2013
Four university degrees
He earns a BSc and an MSc at Nnamdi Azikiwe University in 1998 and 2002, an MSc at Uppsala University in 2008, and a PhD at the University of Aberdeen in 2013.
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2020
Boosted forest for COVID-19
In 2020, he coauthors a study that uses a Random Forest boosted with AdaBoost to predict COVID-19 patient health.
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2022
Item-to-item recommendations
In 2022, he coauthors a machine-learning model for item-to-item collaborative-filtering recommendations.
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2024
IEEE election committee chair
In 2024, he chairs the IEEE Computer Society Worldwide Election Committee.
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2025–2026
ComSoc Distinguished Lecturer
In 2025, IEEE Communications Society selects him as a Distinguished Lecturer for its 2025–2026 term.
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2025
A Herbert Simon Award
In 2025, he receives the Herbert Simon Award for his 2022 paper on a pointer-based machine-learning recommendation system.
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2026
AI in healthcare ranking
In 2026, he is ranked second in Great Britain and 57th worldwide in the Scholarly Index Top 1000 Scholar rankings for Artificial Intelligence in Healthcare for the 2021–2025 impact window.
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As of October 2026
Professor and CIoTh head
As of October 2026, he is Professor of Artificial Intelligence and Head of the Centre for the Intelligence of Things at the University of Greater Manchester.
Career
- Since 2021University of Greater ManchesterProfessor of Artificial Intelligence
- 2025–2026Near East University
- 2024–2026Vellore Institute of Technology University
- 2021–2025Robert Gordon University
- 2018–2021Central South University of Forestry and Technology
Education
- 2013University of AberdeenPhD
- 2008Uppsala UniversityMSc
- 2002Nnamdi Azikiwe UniversityMSc
- 1998Nnamdi Azikiwe UniversityBSc
Most-cited works
- COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm
- A Novel Deep Learning Model for Detection of Severity Level of the Disease in Citrus Fruits
- A metaheuristic optimization approach for energy efficiency in the IoT networks
- Realizing an Efficient IoMT-Assisted Patient Diet Recommendation System Through Machine Learning Model
- AI-empowered, blockchain and SDN integrated security architecture for IoT network of cyber physical systems
Sources and credits
Photo: We have no published photo of Celestine Iwendi yet. Send us a free-licensed photo.
- Iwendi | African Scientists Directory
- COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm
- Prof. Iwendi receives Herbert Simon award for outstanding contribution In ITDM field - Vanguard News
- Celestine Iwendi | Professor of Artificial Intelligence & Head of the Centre of Intelligence of Things (CIoTh) | University of Bolton
- University of Greater Manchester professor selected to be ‘Distinguished Lecturer’
- University’s AI professor recognised in global rankings

