Stylianos Chatzidakis
Physics and Astronomy · Purdue University West Lafayette
Publications
149
Citations
663
Est. group size
~12
Recurring co-author estimate
Active years
22
Publishing since 2005
Stylianos Chatzidakis works on nuclear reactor monitoring and safety, combining radiation detection techniques (such as muon scattering tomography) with machine learning and AI methods to detect anomalies, reconstruct reactor conditions, and support autonomous reactor operation. His research also touches on cybersecurity for reactor sensor data and the development of public datasets and testbeds for nuclear engineering AI applications. This work sits at the intersection of nuclear engineering, sensor physics, and data science.
Publication output has grown substantially over the last decade, rising from single digits per year around 2017-2019 to over 30 publications in 2025, indicating an accelerating and increasingly active research program.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Non-intrusive Monitoring of Sealed Microreactor Cores Using Physics-Informed Muon Scattering Tomography With Momentum Measurements
Open MIND · 2026
- Non-intrusive Monitoring of Sealed Microreactor Cores Using Physics-Informed Muon Scattering Tomography With Momentum Measurements
arXiv (Cornell University) · 2026
- Explainable Unsupervised Multi-Anomaly Detection and Temporal Localization in Nuclear Times Series Data with a Dual Attention–Based Autoencoder
Nuclear Technology · 2026
- Purdue Reactor Integrated Machine Learning (PRIMaL) Dataset
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Purdue Reactor Integrated Machine Learning (PRIMaL) Dataset
Zenodo (CERN European Organization for Nuclear Research) · 2026
- A one-class explainable AI framework for identification of non-stationary concurrent false data injections in nuclear reactor signals
Nuclear Engineering and Design · 2025
- <i>μ</i> TRec: A muon trajectory reconstruction algorithm for enhanced scattering tomography
Journal of Applied Physics · 2025
- An Unsupervised Deep Explainable AI Framework for Localization of Concurrent Replay Attacks in Nuclear Reactor Signals
IEEE Access · 2025
- A One-Class Explainable Ai Framework for Identification of Non-Stationary Concurrent False Data Injections in Nuclear Reactor Signals
SSRN Electronic Journal · 2025
- Development and Analysis of a Real-Time Digital Twin system in PUR-1
2025
- Reinforcement Learning-Based Augmentation of Data Collection for Bayesian Optimization Towards Radiation Survey and Source Localization
Journal of Nuclear Engineering · 2025
- Model Development and Analysis of a High-Fidelity Neutron Transport Sensor: The Quadrupole Detector Concept for Measurement of the Neutron Flux Gradient
2025
- Impact of Thermal Reactor Radiation on Power Converter Circuit Performance
Transactions of the American Nuclear Society · 2025
- Sensor Diagnostics with Deep Learning and Real Reactor Data
2025
- Predicting Reactor Response to Control Actions for Autonomous Operation Using AI/ML
2025
- arXiv (Cornell University)×18
- Transactions of the American Nuclear Society×15
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)×9
- Scientific Reports×5
- SSRN Electronic Journal×4
- Junghyun Bae
Physics and Astronomy · Purdue University West Lafayette
- H. Verweij
Physics and Astronomy · The Ohio State University
- Mia Liu
Physics and Astronomy · Purdue University West Lafayette
- Brandon Kunkler
Physics and Astronomy · Indiana University
- V. Radhakrishna
Physics and Astronomy · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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