Publications¶

This page provides an overview of research publications associated with the DroneNLP project, both from our team and from other researchers who have utilized our datasets. Our goal is to create a hub that showcases the impact of our work on the fields of drone forensics, drone knowledge engineering, and drone log analysis.

Recent Publications¶

DroPTC: Sentence-level drone flight log forensics using contrastive learning and explainable AI¶

Swardiantara Silalahi, Tohari Ahmad, Hudan Studiawan*, Frank Breitinger
DFRWS EU, 2026 DOI Code

Towards terms definition extraction in drone forensics using large language model¶

Swardiantara Silalahi, Tohari Ahmad*, Hudan Studiawan
Intelligent Systems with Applications, 2026 DOI Code

Automated event recognition in drone flight logs: a noise-robust approach¶

Swardiantara Silalahi, Tohari Ahmad, Hudan Studiawan
International Journal of Pervasive Computing and Communications, 2026 DOI Code

Interpretable Ordinal-Aware With Contrastive-Enhanced Anomaly Severity Detection on UAV Flight Log Messages¶

Swardiantara Silalahi, Tohari Ahmad, Hudan Studiawan, Eirini Anthi, Lowri Williams
IEEE Access, 2025 DOI Code Embedding

Selected Publications¶

This section highlights a few key publications that are most relevant to the core concepts and contributions of the DroneNLP project.

DFLER: Drone Flight Log Entity Recognizer to Support Forensic Investigation on Drone Device¶

Swardiantara Silalahi, Tohari Ahmad, Hudan Studiawan
Software Impacts, 2023 DOI Code