AZAbderrahim ZermaneResearch portfolio

Publication record

Research papers and main findings

The three flagship papers are presented in the order that defines my established contribution and research progression. The visuals below are cropped directly from the published papers.

01 · Safety Science · 2023 · First author

Predicting fatal fall from heights accidents using random forest classification machine-learning model

My primary flagship publication. Seven models were tested using 3,321 accident scenarios. Random Forest was selected for its predictive performance and ability to reveal the contribution of site, management, individual and agent factors.

  • 3,321 structured accident scenarios
  • Seven classification models evaluated
  • Explainable factor-level prediction
  • 146 Google Scholar citations at the 2026 redesign
Detailed paper summary →
02 · Safety Science · 2022 · First author

Risk assessment of fatal accidents due to work-at-heights activities using fault tree analysis

Accident pathways were reconstructed from 128 fatal cases, moving beyond descriptive counts to show how contributing factors, immediate causes and root causes combine.

Detailed paper summary →
03 · Fire Technology · 2026 · First author

Linking Accident Data and Physics-Based Modeling for Hydrogen Fire Safety

My first dedicated fire-safety publication. It consolidates 954 HIAD incidents and reconstructs screening-level physical descriptors with transparent assumptions and Monte Carlo uncertainty.

Detailed paper summary →

Complete publication record

  1. Risk assessment of Malaysian agriculture, forestry, and fishing fatalities using fault tree analysis. Journal of Energy & Safety Technology (2026).
  2. Life Cycle Assessment of Paper-Based Products: PRISMA Review of Process-Based, Input-Output, and Hybrid Methods. Chemical Engineering Transactions, 122, 283–288 (2025).
  3. Classification of 3D-Printing Images for Detection of Defects. Springer Tracts in Additive Manufacturing (2025).
  4. Technical analysis of occupational fatal accidents in Malaysia using machine-learning techniques. IEEJ Journal of Industry Applications, 13(6), 711–722 (2024).
  5. Health Risk Assessment of Pollutant Emissions from Coal-Fired Power Plant. Pertanika Journal of Science & Technology, 32(1), 161–184 (2024).
  6. Forecasting material quantity using machine-learning and time-series techniques. Journal of Electrical Engineering, 75(3), 237–248 (2024).
  7. Machine learning techniques for fatal accident prediction. Natural Sciences and Technology, 24 (2024).
  8. Investigating patterns of workplace fatal fall injuries: Case study of Malaysia. Journal of Safety Research, 85, 492–506 (2023).
  9. Analysis of the contributing factors for fatal accidents due to falls from heights in Malaysia and the USA. Pertanika Journal of Science & Technology, 28(S1), 15–36 (2020).
View latest Google Scholar record