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Search Publications by: Juan Fung (Fed)

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Displaying 1 - 25 of 48

Understanding the Risk of Lithium-Ion Battery Fires - multi-source data analysis

March 10, 2026
Author(s)
Stanley Gilbert, Hongqiang Fang, David Butry, Wai Cheong Tam, Michelle Donnelly, Juan Fung
Lithium ion battery (LIB) fires are a growing problem that extends across the supply chain, including mining, production, warehousing, shipping, and waste disposal, as well as the consumer side. But data on such fires is fragmented and mostly incomplete

Causal Machine Learning: An Empirical Approach to Supply Chain Management

January 9, 2026
Author(s)
Alfredo Roa-Henriquez, Juan Fung, Ruhaimatu Abudu, Jennifer Helgeson, Douglas Thomas
Over the past two decades, artificial intelligence (AI) has revolutionized industries, with machine learning (ML) at its core. While ML has enhanced supply chain management (SCM) in efficiency and resilience, it often relies on correlations, risking

TRIP$ - Transportation Risk-Recovery Investment Planning Solutions: Optimizing Earthquake Resilience & Functional Recovery of Highways

September 29, 2025
Author(s)
Aspasia Nikolaou, Angelos Tsatsis, Maria Antoniou, Juan Fung, Yalda Saadat, Fani Gelogoti, Rallis Kourkoulis, Steven McCabe
The United States (US) faces significant challenges in maintaining and modernizing its aging infrastructure, particularly in the transportation sector, which includes roadways, bridges, rail, air, ports, and pipelines. Infrastructure vulnerabilities

Estimating the Costs and Performance of Enhanced Building Design: A Case Study of Functional Recovery for New Buildings

September 17, 2025
Author(s)
Sherief Elsibaie, Yating Zhang, Juan Fung, Dustin Cook, Siamak Sattar, Peter Morris, Henry Burton, David Welch, Kamiar Anaraki
This report details the development of different structural design building archetypes and other seismic enhancements, the cost estimation process applied to those archetypes, and the economic implications and estimation of differing functional recovery

Evaluating the Impact of Changes to the Internal Publication Review Policy at NIST

August 21, 2025
Author(s)
Juan Fung, Michael Hall, Jennifer Helgeson, Alden Dima, Anne Andrews, Jennifer Benkstein
This report presents the design and methodology of a survey conducted to evaluate the impact of changes to the organizational publication review policy at the National Institute for Standards and Technology (NIST). The purpose of the survey is to collect

From Traditional Topic Models to LLM Topic Models: Can Large Language Models Replace Traditional Topic Models?

August 1, 2025
Author(s)
Zongxia Li, Lorena Calvo Bartolome, Alexander Hoyle, Daniel Stephens, Paiheng Xu, Alden Dima, Jordan Boyd-Graber, Juan Fung
A common use of NLP is to facilitate the understanding of large document collections, with models based on Large Language Models (LLMs) replacing probabilistic topic models. Yet the effectiveness of LLM-based approaches in real-world applications remains

Systematic Review of Embodied Carbon Assessment and Reduction in Building Life Cycles

September 18, 2024
Author(s)
Yating Zhang, Siamak Sattar, Dustin Cook, Katherine Johnson, Juan Fung
The building and construction sector is the largest carbon emitter, accounting for more than one-third of annual global emissions. The emissions can be divided into operational and embodied carbon, associated with building operations and building materials

Human-in-the-loop Technical Document Annotation: Developing and Validating a System to Provide Machine-Assistance for Domain-Specific Text Analysis

May 14, 2024
Author(s)
Juan Fung, Zongxia Li, Daniel Stephens, Andrew Mao, Pranav Goel, Emily Walpole, Alden A. Dima, Jordan Boyd-Graber
In this report, we address the following question: to what extent can machine learning assist a human with traditional text analysis, such as content analysis or grounded theory in the social sciences? In practice, such tasks require humans to review and

Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis

March 23, 2024
Author(s)
Zongxia Li, Andrew Mao, Jordan Boyd-Graber, Daniel Stephens, Emily Walpole, Alden A. Dima, Juan Fung
Topic models are a popular tool for understanding text collections, but their evaluation has been a point of contention. Automated evaluation metrics such as coherence are often used, however, their validity has been questioned for neural topic models

Measuring downstream supply chain losses due to power disturbances

September 16, 2022
Author(s)
Douglas Thomas, Juan Fung
Power outages in the U.S. affect many firms' economic activity and are likely to result in downstream supply chain disruptions. This paper examines the impact of power disturbances in the supply chain for four industries: manufacturing, durable goods

A Framework to Evaluate the Cost-Effectiveness of Recovery-Based Design

May 24, 2022
Author(s)
Juan Fung, Yating Zhang, Katherine Johnson, Dustin Cook, Siamak Sattar
Modern building codes and standards are generally focused on safeguarding public health and safety by ensuring buildings meet life safety performance objectives following an earthquake event. Certain classes of buildings, such as hospitals and schools, may

Natural hazards compound COVID-19 impacts on small businesses disproportionately for historically underrepresented group operators

April 1, 2022
Author(s)
Jennifer Helgeson, Payam Aminpour Mohammadabadi, Juan Fung, Alfredo Roa Henriquez, Ariela Zycherman, David Butry, Claudia Nierenberg, Yating Zhang
In the wake of the COVID-19 pandemic small businesses made headlines as hard hit by customer losses, revenue declines, and business closures. Yet, the impacts have been felt disproportionately by small businesses that suffered interruption due to pre

The Total Costs of Seismic Retrofits: State of the Art

May 7, 2021
Author(s)
Juan Fung, David Butry, Siamak Sattar, Steven McCabe
This article presents the current state-of-practice with respect to quantifying the total cost to retrofit an existing building. In particular, we combine quantitative, qualitative, and heuristic data to provide a taxonomy for understanding the direct and

Eliciting Lessons from Small- and Medium-Sized Enterprises for Resilience During and Following Complex Events: Longitudinal Data Collection (Wave 2)

May 4, 2021
Author(s)
Jennifer Helgeson, Juan Fung, Alfredo Roa Henriquez, Ariela Zycherman, Payam Aminpour Mohammadabadi, Claudia Nierenberg, David Butry, Donna Ramkissoon
In 2020, there were 22 natural disasters with losses exceeding $1 billion each in the US (NOAA NCEI, 2021). Economic effects on the areas impacted directly were significant; Swiss Re estimated insured losses to be $83 billion, making 2020 the fifth
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