Publications & presentations

Statuses below are current as of August 2026.

Under review

  • Floca M, …, Pearce A, …, Altintas I (2026). Advancing Operational Wildfire Spread Modeling through Reproducible Fire Behavior Model Implementations and Standardized AI-Ready Datasets. IEEE BigData 2026, Workshop on Trustworthy AI Pipelines (WS#60).

In preparation

  • Olah A, Pearce A*, Saah A*, and Battles J. Mobile LiDAR-based estimation of slash pile volume and emissions (B-PEAs).

Conference presentations

  • Karabas S, Ersus B, Pearce A, Lee L, Ramonetti Vega P, Altintas I, Floca M, and Stirm C (2026). Wildfire Commons Shrubwise Data Challenge: Outcomes from a designed machine learning pipeline to label shrubs. AGU Fall Meeting 2026, Wildfire Commons Session (NH056).

    Abstract accepted

  • Olah A, Pearce A* (Presenting Author), Saah A*, and Battles J (2026). From Point Clouds to Physical Quantities: 3D Reconstruction for Burn-Pile Volume Estimation. CASIS 2026, Lawrence Livermore National Laboratory.

    Presented

Asterisks (*) denote co-equal contribution as second authors.

Software

  • B-PEAs: Burn Pile Emission Analytics

    Automates volume and emissions estimation from segmented MLS scans of slash piles.

    Public release pending manuscript submission

Honors & awards

  • Winner, 3D Surface Fuels & Vegetation Modeling Prize Challenge (2026)

    SERDP/ESTCP, Central Florida Tech Grove with NAWCTSD

  • Data Science Summer Institute Scholar (2026)

    Lawrence Livermore National Laboratory, 1 of 39 selected nationally

Full CV (PDF) ↓