Publications

Displaying 1 - 3 of 3

Examining Safe Intervention Windows for 18650 and 21700 Lithium-Ion Batteries under Heat Interruption Experiments

April 20, 2026

Author(s)

Wai Cheong Tam, Hongqiang Fang, Jian Chen, Qiuhong Wang, Christopher Brown, Md. Ismail Siddiqi Emon, Anthony Putorti

This study experimentally quantifies the safe intervention window (the time between the earliest thermal runaway indicator and ignition) for cylindrical lithium-ion batteries exposed to constant external heating. A total of 77 experiments were performed on

On the Use of Machine Learning for the Development of an Acoustic-based Detection System for Early-Stage Thermal Runaway

March 15, 2026

Author(s)

Wai Cheong Tam, Md. Ismail Siddiqi Emon, Jian Chen, Hongqiang Fang, Jun Deng, Anthony Putorti

The paper presents the development of a multi-class classification model for the detection of early-stage thermal runaway events for button-top single-cell lithium-ion batteries. A signal gate mechanism is introduced to extract relevant acoustic data. A

Development of a Tenability-based Path Planning Model for Building Fire Evacuations Using Reinforcement Learning

December 30, 2025

Author(s)

Hongqiang Fang, Wai Cheong Tam, Ruggiero Lovreglio, Md. Ismail Siddiqi Emon, Michael Xuelin Huang

To enhance the safety of building fire evacuations by accounting for the dynamic and cumulative impacts of hazardous fire conditions on evacuees, we developed SafeStep, a novel reinforcement learning-based path planning model that integrates occupant

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