Research profile

Applied research for reliable AI.

I study AI systems that are explainable, evidence-grounded, and dependable enough for high-stakes decisions—from medical imaging to multi-agent LLM pipelines.

Google Scholar ResearchGate

Research work across machine learning, explainability, and intelligent systems

Questions + systems

Research interests

From retrieval and agent collaboration to transparent clinical decision support.

Trustworthy AI
Explainable AI
Multi-Agent Systems
AI for Healthcare
Retrieval-Augmented Generation
Information Retrieval
Human-Centred AI
LLM Evaluation

2024 — Present

Research experience

Undergraduate Researcher

Albukhary International University · Malaysia

Research explainable AI, information retrieval, multi-agent systems, medical AI, and decision-support systems with faculty and international collaborators.
Design and evaluate ML and deep-learning systems with classification and retrieval metrics, explainability methods, and reproducible workflows.
Contribute to published and accepted research as first author, co-author, presenter, and open-source contributor.

Active direction

Current work

Multi-agent matching

Explainable resume–job matching with LLM-based agents, accepted at SITWE 2026.

Evidence-grounded agents

Source provenance, retrieval evaluation, and human approval for agents in production.

Explainable medical AI

Interpretable imaging and prediction models for oncology, nephrology, and public health.

8 works

Publications & preprints

Published2

2025Published

Skin Lesion Classification with Explainable AI to Enhancing Dermatological Diagnosis

Md Serajun Nabi, Md Rashidul Islam, Bakary Gibba, Raihana Mohammadi, M. Touhami, M. F. Ahmad Fauzi

2025 Multimedia University Engineering Conference (MECON), IEEE, pp. 1–6 · Co-author

Explainable DenseNet-based skin lesion classification for dermatological diagnosis.

View publication Code

2026Published

Smartphone Use, Study Habits, and Academic Outcomes: Machine Learning Approaches to GPA Prediction

Zurinahni Zainol, Bakary Gibba, Altagi Abdallah Bakheit Abdelgadir, Almonzer Abdallah, Md Serajun Nabi, Basheer Riskhan

Smart, Inclusive, and Sustainable Digital Societies, CRC Press, pp. 162–174 · Co-author

Machine-learning analysis of behavioral and study factors associated with academic performance.

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Accepted2

2026Accepted

Multi-Agent Machine Learning Framework for Explainable Resume–Job Matching Using LLM-Based Agents

Bakary Gibba, Sami Salama Hussen Hajjaj

SITWE 2026 · Highlights in Web Engineering III, MMU Press · First author

LLM agents for extraction and explanation around a supervised matching model. Presented at SITWE 2026 on 30 September 2026.

Code

2026Accepted

Early Diagnosis of Chronic Kidney Disease Using Supervised and Unsupervised Learning

Md Rashidul Islam, Ali Sena Danishwer, Hafizullah Mohammadi, Bakary Gibba, Md Serajun Nabi

NexSymp Summit 2026 · Co-first author

Supervised and unsupervised learning for early CKD diagnosis. Selected for publication consideration in the Journal of Engineering Technology and Applied Physics (JETAP).

Preprints & under review4

2026Preprint

An Explainable AI-Driven Framework for Automated Brain Tumor Segmentation Using an Attention-Enhanced U-Net

Md Rashidul Islam, Bakary Gibba

arXiv:2603.23344 · Co-first author

Attention-enhanced segmentation with an explainability-oriented evaluation workflow.

View publication

2025Under review

A Hybrid Deep Learning Framework with Explainable AI for Lung Cancer Classification with DenseNet169 and SVM

Md Rashidul Islam, Bakary Gibba, Altagi Abdallah Bakheit Abdelgadir

IAES International Journal of Artificial Intelligence · arXiv:2512.03359 · Co-author

A hybrid classification pipeline interpreted with Grad-CAM and SHAP.

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2025Under review

Trends and Determinants of Early Initiation and Exclusive Breastfeeding Rates from the Gambia Demographic and Health Survey

Vahid Mato, Bakary Gibba, et al.

Scientific Reports · Co-author

Statistical modeling of national health and demographic data from The Gambia.

2026Submitted

Infant Immunization Coverage Cascade and Equity Analysis in The Gambia

Vahid Mato, Bakary Gibba, et al.

Vaccine · Co-author

Coverage-cascade and equity analysis of infant immunization in The Gambia.

Information retrieval

Open source

Completed all eight Castorini Foundations of Retrieval lessons — BM25, dense retrieval, learned sparse retrieval, retrieval evaluation, and manual score verification — and contributed reviewed documentation that was merged into both official repositories.