Privacy-preserving and intelligent data systems
AI for secure multi-source data management, proactive anomaly detection in cloud databases, and reinforcement learning for adaptive query routing.
Research
Trustworthy, privacy-preserving AI for healthcare.
My research focuses on developing trustworthy, privacy-preserving, and generalizable AI systems for healthcare and other high-impact data environments.
Research profiles
Find my work online.
Publications, researcher ID, code, and professional experience. For the complete, verified list of papers, see my Publications page.
- Google Scholarscholar.google.com · Oluwatoyin Olawale AkadiriPeer-reviewed papers and citation counts (opens in a new tab)
- ORCID0009-0003-4887-4604Persistent researcher ID linking my publications across journals (opens in a new tab)
- ResearchGateresearchgate.net/profile/Oluwatoyin-AkadiriFull-text papers, research updates, and academic network (opens in a new tab)
- GitHubgithub.com/Tropy007Code for analytics, machine learning, and data engineering projects (opens in a new tab)
- LinkedInlinkedin.com/in/oluwatoyin-akadiriProfessional experience, certifications, and career updates (opens in a new tab)
Research statement
AI systems that are accurate, explainable, safe, and practical.
My research focuses on developing trustworthy, privacy-preserving, and generalizable AI systems for healthcare. I am interested in combining deep learning, federated learning, multimodal clinical data, agentic and LLM-based systems, and reliable data infrastructure to create models that are accurate, explainable, safe, and practical. My work examines how AI can support clinical decision-making and data collaboration while preserving privacy, reducing bias, and maintaining data integrity.
Long-term research vision: My long-term goal is to develop trustworthy artificial intelligence systems that improve healthcare decision-making through privacy-preserving machine learning, multimodal clinical analytics, and scalable data infrastructure.
Health AIDeep learningFederated learningExplainabilityFairnessData reliability
Research themes
Six areas of my research.
Grouped from my 14 peer-reviewed papers. Select a paper to see its citation and DOI.
Health AI and precision medicine
Machine learning across genomics, therapeutics, and clinical governance, and AI-driven liquid biopsies for cancer monitoring.
Related papers (2)
Mental health analytics
Predictive analytics and wearable-device data for early detection and better outcomes in mental health and substance abuse prevention.
Generative and agentic AI
Large language model architecture, limitations, and advances, and retrieval-augmented, tool-using systems for clinical documentation.
Related paper
AI for energy, climate, and engineering
Deep learning for smart-grid demand forecasting, sustainable power for AI data centers, GeoAI for climate action, and AI-designed smart structures.
Business intelligence and decision analytics
How data visualization, process mining, and Lean Six Sigma help organizations make better decisions and innovate sustainably.
Related papers (2)
Academic service
Peer-review recognition and scholarly service.
Web of Science recognizes 6 verified peer reviews of 6 manuscripts (2025–2026).
Reviewer recognition
6 peer-review records
Reviewed manuscripts across Data Science Journal, International Journal on Data Science and Technology, Journal of Disease and Global Health, and Academia Environmental Sciences and Sustainability.
6records6manuscripts2025-2026period
Selected records
Web of Science peer-review service
- Jul 18, 2026Data Science Journal — KadiAssistant: A conversational AI Agent for information retrieval in Kadi4Mat.
- Mar 16, 2026International Journal on Data Science and Technology — Artificial Intelligence Adoption in Academic and Engineering College Libraries of Gujarat, India (2020-2026): A State-Level Review.
- Jan 20, 2026Journal of Disease and Global Health — Spatial Modeling of Agrochemical Exposure and Chronic Disease Risk Among U.S. Farmers: A Review of GIS-Based Epidemiological Approaches.
- Dec 17, 2025International Journal on Data Science and Technology — Divide and recombine approaches for fitting logistic regression to large-scale health surveillance data: application to diabetes risk prediction in BRFSS.
- Oct 27, 2025Academia Environmental Sciences and Sustainability — Analysis of AI Models in Weather Forecasts - A Leap Towards a Robust Future.
- Sep 23, 2025Academia Environmental Sciences and Sustainability — AI-Driven Greenhouse Gas (GHG) Emission Clustering and Forecasting.
Presentation
Selected presentation
Resilient Dataflow Intelligence: A Proactive AI Framework for Cloud Anomaly Detection - Bay Atlantic University, Washington, D.C. - 2024.
Service
Conference and professional service
Conference volunteer: IEEE CIC / TPS / CogMI 2024-2025; IEEE PES Energy & Policy Forum 2025; Coleridge Initiative 5th National Convening 2025; DevFest DC 2025.
Awards
Selected recognition.
Certificate of Academic Excellence
Bay Atlantic University
Certificate of Achievement
Bay Atlantic University
Volunteer Service Appreciation Award
IEEE CIC / CogMI / TPS