70 citations · 81 across the 11 of their papers we have counts for
12 papers
Grounding Time-Series Foundation Models in Digital Twin Topology for Predictive Maintenance
Sizhe Ma, Katherine A. Flanigan, Mario Bergés
Digital twins increasingly support downstream analytical tasks that depend on time-series data, motivating interest in time-series foundation models (TSFMs) as scalable backbones.…
Decoding Psychological States Through Movement: Inferring Human Kinesic Functions with Application to Built Environments
Cheyu Lin, Katherine A. Flanigan, Sirajum Munir
Social infrastructure and other built environments are increasingly expected to support well-being and community resilience by enabling social interaction. Yet in civil and built-e…
Evaluating Few-Shot Temporal Reasoning of LLMs for Human Activity Prediction in Smart Environments
Maral Doctorarastoo, Katherine A. Flanigan, Mario Bergés +1
Anticipating human activities and their durations is essential in applications such as smart-home automation, simulation-based architectural and urban design, activity-based transp…
Comparative Evaluation of Neural Network Architectures for Generalizable Human Spatial Preference Prediction in Unseen Built Environments
Maral Doctorarastoo, Katherine A. Flanigan, Mario Bergés +1
The capacity to predict human spatial preferences within built environments is instrumental for developing Cyber-Physical-Social Infrastructure Systems (CPSIS). A significant chall…
Transformer-Based Indirect Structural Health Monitoring of Rail Infrastructure with Attention-Driven Detection and Localization of Transient Defects
Sizhe Ma, Katherine A. Flanigan, Mario Bergés +1
Indirect structural health monitoring (iSHM) for broken rail detection using onboard sensors presents a cost-effective paradigm for railway track assessment, yet reliably detecting…
Read the Room: Inferring Social Context Through Dyadic Interaction Recognition in Cyber-physical-social Infrastructure Systems
Cheyu Lin, John Martins, Katherine A. Flanigan +1
Cyber-physical systems (CPS) integrate sensing, computing, and control to improve infrastructure performance, focusing on economic goals like performance and safety. However, they…
From Actions to Kinesics: Extracting Human Psychological States through Bodily Movements
Cheyu Lin, Katherine A. Flanigan
Understanding the dynamic relationship between humans and the built environment is a key challenge in disciplines ranging from environmental psychology to reinforcement learning (R…
Street View Sociability: Interpretable Analysis of Urban Social Behavior Across 15 Cities
Kieran Elrod, Katherine Flanigan, Mario Bergés
Designing socially active streets has long been a goal of urban planning, yet existing quantitative research largely measures pedestrian volume rather than the quality of social in…
Digital Twin Technologies in Predictive Maintenance: Enabling Transferability via Sim-to-Real and Real-to-Sim Transfer
Sizhe Ma, Katherine A. Flanigan, Mario Bergés
The advancement of the Internet of Things (IoT) and Artificial Intelligence has catalyzed the evolution of Digital Twins (DTs) from conceptual ideas to more implementable realities…
Bridging the Reality Gap in Digital Twins with Context-Aware, Physics-Guided Deep Learning
Sizhe Ma, Katherine A. Flanigan, Mario Bergés
Digital twins (DTs) enable powerful predictive analytics, but persistent discrepancies between simulations and real systems--known as the reality gap--undermine their reliability.…
State-of-the-Art Review: The Use of Digital Twins to Support Artificial Intelligence-Guided Predictive Maintenance
Sizhe Ma, Katherine A. Flanigan, Mario Bergés
In recent years, predictive maintenance (PMx) has gained prominence for its potential to enhance efficiency, automation, accuracy, and cost-effectiveness while reducing human invol…
State-of-the-art review and synthesis: A requirement-based roadmap for standardized predictive maintenance automation using digital twin technologies
Sizhe Ma, Katherine A. Flanigan, Mario Bergés
Recent digital advances have popularized predictive maintenance (PMx), offering enhanced efficiency, automation, accuracy, cost savings, and independence in maintenance processes.…