Stella Pantopoulou
Engineering · Purdue University West Lafayette
Publications
14
Citations
35
Est. group size
~2
Recurring co-author estimate
Active years
6
Publishing since 2020
Stella Pantopoulou works on monitoring and forecasting sensor data in nuclear reactor systems, particularly temperature and flow measurements in thermal-hydraulic setups like small modular reactors and molten salt reactors. Her work applies machine learning methods such as LSTM neural networks, transformers, and support vector machines to detect sensor faults, predict future readings, and validate sensor performance across different fluids and flow conditions.
Publication output has grown from essentially none before 2020 to a steady pace of about 2-3 papers per year since 2021.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Temporal Forecasting of Distributed Temperature Sensing in a Thermal Hydraulic System With Machine Learning and Statistical Models
IEEE Access · 2025
- Transformers and Long Short-Term Memory Transfer Learning for GenIV Reactor Temperature Time Series Forecasting
Energies · 2025
- Forecasting Time Series of Fluid Temperature Measurements with Transformers
Transactions of the American Nuclear Society · 2025
- Monitoring of Flow Rate Measurements Using LSTM Autoencoder
2024
- Monitoring and Secure Communications for Small Modular Reactors
Lecture notes in computer science · 2024
- Benchmarking of Machine Learning Algorithms for Temperature Sensor Fault Time Series Classification
2024
- Comparison of SVM and LSTM Performance in Monitoring of Thermal Hydraulic Sensors
Transactions of the American Nuclear Society · 2023
- Monitoring of Temperature Measurements for Different Flow Regimes in Water and Galinstan with Long Short-Term Memory Networks and Transfer Learning of Sensors
Computation · 2022
- Augmented Data Generation for Thermocouple Sensors Time Series with Generative Adversarial Network
Transactions of the American Nuclear Society · 2022
- Transfer Learning Long Short-Term Memory (TL-LSTM) Network for Molten Salt Reactor Sensor Monitoring
Transactions of the American Nuclear Society · 2022
- Secure Decision Making and Inference in Critical Systems
2021
- Monitoring of Thermal Mixing Tee Sensors with LSTM Neural Networks
12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2021) · 2021
- LSTM Validation of Fiber Optics Distributed Temperature Sensing
Transactions of the American Nuclear Society · 2021
- One-Step Ahead Prediction of Thermal Mixing Tee Sensors with Long Short Term Memory (LSTM) Neural Networks
2020
- Transactions of the American Nuclear Society×5
- Computation×1
- IEEE Access×1
- Energies×1
- 12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2021)×1
- Konstantinos Vasili
Engineering · Purdue University West Lafayette
- Lefteri H. Tsoukalas
Engineering · Purdue University West Lafayette
- Anton Bougaev
Engineering · Purdue University West Lafayette
- John T. Evans
Engineering · Purdue University West Lafayette
- Peng Lu
Engineering · Indiana University
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.
Claim or correct this profile