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Research Initiative — Dr. Anthony Ojo

Marvel Lab

Advancing research in computing, artificial intelligence, digital education, and process automation.

Marvel Lab is an initiative by Dr. Anthony Ojo dedicated to conducting impactful research, developing innovative digital solutions, promoting academic collaboration, and advancing technology that solves real-world challenges.

University of Greater Manchester IEEE CompTIA


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Dr. Anthony Ojo

About

A multidisciplinary home for practical research

Marvel Lab bridges academic research with practical solutions across computing, artificial intelligence, digital education, and process automation.

About the Lab

Computing Research

Foundational work in systems, algorithms, and applied computer science.

Artificial Intelligence

Explainable, human‑centred AI applied to real‑world decision problems.

Digital Education

Tools and frameworks that make learning more adaptive and accessible.

Process Automation

Automation systems that reduce friction across research and industry workflows.

Focus Areas & Research Works

Where our research lives

A look at the areas we work in and a sample of finished projects.

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Artificial Intelligence

Explainable models for decisions that affect real people.

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Machine Learning

Predictive systems trained on messy, real-world data.

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Recently Finished

Latest completed projects

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2025

PolyGuard: Explainable Polypharmacy Risk

An AI-driven system that flags risky drug combinations and explains why, per patient.

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2024

Adaptive Learning Pathways

A recommendation engine that reorders coursework based on live learner performance.

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Publications

Papers & publications

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PolyGuard: An Explainable Framework for Polypharmacy Risk Management

Alfred Bartholomew, A. Ojo

Journal of Health Informatics · 2025 · DOI: 10.0000/mlab.2025.001

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Bridging Data Science and Digital Education in Low-Resource Settings

O. Ojo, T. Nwosu

Intl. Conf. on Digital Learning · 2024 · DOI: 10.0000/mlab.2024.014

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Blog

Notes from the lab

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ResearchJun 2026

Why explainability matters more once a model reaches patients

Notes on what changed once PolyGuard moved from prototype to something clinicians could question.

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EducationApr 2026

Designing tools for classrooms that lose connectivity

What we learned building for intermittent internet instead of designing around it.

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Events

Coming up next

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14 Sep 2026

Annual Marvel Lab Research Symposium

University Campus, Main Auditorium

A day of talks from the lab and invited collaborators across AI and digital education.

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22 Oct 2026

Workshop: Explainable AI in Practice

Computing Building, Room 214

A hands-on session on SHAP-based explanations for tree-based models.

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Tools

Digital tools from Marvel Lab

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PolyGuard Explorer

A per-patient explainability viewer for polypharmacy risk scores.

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AI Demonstrator Kit

Lightweight demos for teaching core AI concepts in class.

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0 Research Projects
0 Publications
0 Collaborators
0 Students Supervised
0 Conferences
0 Digital Tools

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