most citedAn Unsupervised Deep Explainable AI Framework for Localization of Concurrent Replay Attacks in Nuclear Reactor Signals

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CE2026

The PUR-1 Cyber-Physical Digital Twin

Vasileios Theos, Jonah Lau, Konstantinos Gkouliaras +7

Digital twin technologies have the potential to improve operational flexibility and responsiveness capabilities of nuclear systems. To provide decision support, cyber event charact…

cs.LG2025

Explainable Unsupervised Multi-Anomaly Detection and Temporal Localization in Nuclear Times Series Data with a Dual Attention-Based Autoencoder

Konstantinos Vasili, Zachery T. Dahm, Stylianos Chatzidakis

The nuclear industry is advancing toward more new reactor designs, with next-generation reactors expected to be smaller in scale and power output. These systems have the potential…

cs.LG2025

Experimental Assessment of a Multi-Class AI/ML Architecture for Real-Time Characterization of Cyber Events in a Live Research Reactor

Zachery Dahm, Konstantinos Vasili, Vasileios Theos +5

There is increased interest in applying Artificial Intelligence and Machine Learning (AI/ML) within the nuclear industry and nuclear engineering community. Effective implementation…

eess.SY2025

A One-Class Explainable AI Framework for Identification of Non-Stationary Concurrent False Data Injections in Nuclear Reactor Signals

Zachery Dahm, Vasileios Theos, Konstantinos Vasili +3

The transition of next generation advanced nuclear reactor systems from analog to fully digital instrumentation and control will necessitate robust mechanisms to safeguard against…

cs.LG2025★ 2 cited

An Unsupervised Deep Explainable AI Framework for Localization of Concurrent Replay Attacks in Nuclear Reactor Signals

Konstantinos Vasili, Zachery T. Dahm, Stylianos Chatzidakis

Next generation advanced nuclear reactors are expected to be smaller both in size and power output, relying extensively on fully digital instrumentation and control systems. These…