activity
20242026
most citedRapid post-disaster infrastructure damage characterisation enabled by remote sensing and deep learning technologies -- a tiered approach

45 citations · 45 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Not All Synthetic Data Are Equal: Expert-Committee Audit Screening for Imbalanced Crash-Injury-Severity Prediction in Automated Driving Systems

Zewei Li, Qiaoqiao Ren, Hang Yang +3

Automated driving systems (ADSs) are increasingly operating on public roads, raising safety concerns, yet reliable prediction of crash injury severity remains difficult because cra…

cs.HC2026

Occlusion-induced risk and interventions in pedestrian-autonomous truck interactions on multi-lane roads: A virtual reality study

Yun Ye, Yuan Che, S. C. Wong +2

Autonomous trucks (ATs) may introduce distinct pedestrian-safety risks because of their large physical dimensions, constrained braking capability, limited driver-based communicatio…

cs.AI2026

Prediction certification cannot replace explanation certification: a competence envelope for trustworthy AI under compound stress

Nataliya Shakhovska, Ivan Izonin, Stergios-Aristoteles Mitoulis

Artificial intelligence systems increasingly make consequential judgments - which patient is deteriorating, which building is safe to enter, whether an image is authentic and are t…

cs.CY2025

AI and Remote Sensing for Resilient and Sustainable Built Environments: A Review of Current Methods, Open Data and Future Directions

Ubada El Joulani, Tatiana Kalganova, Stergios-Aristoteles Mitoulis +1

Critical infrastructure, such as transport networks, underpins economic growth by enabling mobility and trade. However, ageing assets, climate change impacts (e.g., extreme weather…

physics.soc-ph2025

Threat-Agnostic Resilience: Framing and Application for Critical Infrastructure

Benjamin D. Trump, Stergios Mitoulis, Sotirios Argyroudis +7

Critical infrastructure is not indestructible. Threats, both emergent and systemic, have propagated beyond historical norms that risk mitigation efforts alone cannot alleviate. Int…

cs.CV2024★ 45 cited

Rapid post-disaster infrastructure damage characterisation enabled by remote sensing and deep learning technologies -- a tiered approach

Nadiia Kopiika, Andreas Karavias, Pavlos Krassakis +6

Critical infrastructure, such as transport networks and bridges, are systematically targeted during wars and suffer damage during extensive natural disasters because it is vital fo…