FOCIT, LASU

Informatics &
Computational Neurotheology

Bridging Data Science, Advanced Informatics, and Cognitive Phenomena to Understand the Architecture of the Human Mind.

Explore Our Projects View Opportunities

Affiliations:

Lagos State University

Faculty of Computing (FOCIT)

Cognitive Modeling & Informatics Active Labs

fMRI Datasets

Neural Analytics

Who We Are

The Informatics and Computational Neurotheology (ICONUT) Research Group sits at the dynamic intersection of data science, advanced computing, and cognitive neuroscience. Our mission is to decode the complex computational structures underlying human cognitive states, spiritual experiences, and neurological processing.

Driven by the lack of local high-end neuroimaging hardware, our methodology innovates by leveraging publicly available global neuroimaging datasets (including fMRI and EEG repositories), advanced statistical modeling, and large-scale psychometric surveying. By applying rigorous machine learning algorithms and data analytics to these datasets, we map the neural correlates of belief systems and cognitive processing styles.

Our Vision

To be a globally recognized center of excellence in computing research, pioneering data-driven methodologies that illuminate the intersection of human cognition, environmental dynamics, and computational informatics for societal advancement.

Our Mission

To decode complex structural and cognitive systems through robust data analytics, machine learning, and global open-source datasets; to bridge the gap between advanced technology and human well-being; and to train an agile, interdisciplinary generation of computing researchers.

Core Research Pillars

Computational Neurotheology

Investigating the cognitive mechanisms and neural substrates associated with spiritual, theological, and deep meditative experiences using data-driven paradigms.

Public Health Informatics

Applying machine learning and predictive analytics to examine how environmental stressors, climate change communication, and social dynamics intersect with community and public health outcomes.

Advanced Data Analytics

Utilizing robust statistical modeling, network analysis, and pattern recognition to extract meaningful insights from multi-dimensional datasets and open-source neuroimaging repositories.

Our Research Team

Professor Mukaila Alade Rahman

Principal Investigator & Group Director

Professor Mukaila Alade Rahman is a distinguished Professor of Computer Science at the Faculty of Computing and Information Technology (FOCIT), Lagos State University (LASU). He holds a B.Sc., M.Sc., and Ph.D. in Computer Science, and is a celebrated two-time Fellow of The World Academy of Sciences (TWAS), Italy. His multidisciplinary research portfolio spans Artificial Intelligence, Machine Learning, and the niche frontier of Computational Neurotheology, extracting structural insights to solve pressing health and cognitive puzzles.

Google Scholar ResearchGate Institutional Bio

Dr. Adam Zubair

Senior Researcher

Focuses on digital communication technologies and environmental sustainability, leveraging platforms for climate awareness.

Rilwan Shanu

Research Associate

Applies computational tools to socio-environmental challenges, exploring digital engagement metrics and public health.

Taofik Ajagbe

Research Associate

Specializes in Data Science and AI, developing intelligent systems for environmental management and sustainable practices.

Selected Publications

Journal Article

Association between scripture memorization and brain atrophy using magnetic resonance imaging

Rahman, M., Aribisala, B., Ullah, I., & Omer, H.

Acta Neurobiologiae Experimentalis 80 (1), 90-97

DOI / View Paper PDF