Members
Faculty
Dr. Xu Wu
Associate Professor of Nuclear Engineering
CV
[email protected]
Alexandra Akins (NSF Graduate Fellow)
PhD Student
CV
[email protected]
Jason Clifford
PhD Student
CV
[email protected]
Lauren Kohler (UNLP Graduate Fellow)
Distance PhD Student, GE Vernova Nuclear Edison Engineering Development Program
CV, [email protected]
Joel Khristy
Distance PhD Student, ORNL Nuclear Nonproliferation Division
CV, [email protected]
Jaden Palmer (NSF Graduate Fellow)
PhD Student
CV
[email protected]
Undergraduate Students
Oliver Maynard (NCSU, NE)
Undergraduate (class of 2027)
CV
[email protected]
Mason Mines (UNC Chapel Hill, CS)
Undergraduate (class of 2028)
CV
[email protected]
Evan Hong (NCSU, NE)
Undergraduate (class of 2027)
CV
[email protected]
Audrey Schmal (NCSU, NE)
Undergraduate (class of 2028)
CV
[email protected]
Jackson Dunderman (NCSU, NE)
Undergraduate (class of 2028)
CV
[email protected]
Ipsitha Vasipalli (NCSU, NE)
Undergraduate (class of 2029)
CV
[email protected]
Alumni
| No. | PhD | PhD Dissertation Titles | Defense | First Jobs After PhD |
| 7 | Christopher Brady | Nuclear Data Adjustment with Bayesian Inverse UQ for Radiation Transport Simulations in Nuclear Forensics |
2026-05
|
TBD
|
| 6 | Aidan Furlong | Development, Refinement, and Deployment of Explainable and Interpretable Critical Heat Flux Machine Learning Models |
2026-03
|
Postdoc, Oak Ridge National Laboratory (ORNL), USA
|
| 5 | Farah Alsafadi | Deep Generative Modeling-based Data Augmentation to Address the Data Scarcity Issue in Nuclear Engineering (2025 NCSU COE “Doctoral Scholar of the Year” for Scholarly Achievements) |
2025-04
|
Postdoc, Paul Scherrer Institute (PSI), Switzerland
|
| 4 | Ziyu Xie | Machine Learning-based Mathematical Representation of Model Uncertainty for Bayesian Inverse Uncertainty Quantification |
2024-09
|
Tenure-Track Assistant Professor, Harbin Engineering University, China
|
| 3 | Lesego Moloko |
Integrated Neutronics Simulation and Machine Learning with Uncertainty Quantification for Reactor Core Monitoring and Safety
|
2024-09
|
Senior scientist, South African Nuclear Energy Corporation, South Africa
|
| 2 | Chaitee Godbole |
Machine Learning-based Prediction of Power at which Departure from Nucleate Boiling Occurs (co-advised with Prof. Maria Avramova)
|
2023-03
|
Postdoc, Idaho National Laboratory (INL), USA
|
| 1 | Parth Patel |
Simulating Damage and Degradation in Concrete Structures (co-advised with Prof. Abhinav Gupta, Department of Civil, Construction, and Environmental Engineering)
|
2022-12
|
Postdoc, NCSU Center for Nuclear Energy Facilities and Structures, USA
|
| No. | MS |
MS Thesis (MSNE) or Report (MNE) Titles
|
Defense |
| 11 | Jason Clifford |
Verification Methods for Deploying Trustworthy LLM Systems in Nuclear Operations and Maintenance (2026 NCSU COE “Outstanding Master’s Student of the Year”)
|
2026-05
|
| 10 | Johnathan Pack |
Application of Deep Learning Tabular Methods to the Groeneveld Critical Heat Flux Database
|
2026-05
|
|
9
|
Lauren Kohler
|
Bayesian Calibration and Machine Learning-based Validation of Distributed Fiber Optic Sensors for Advanced Temperature Sensing in Nuclear Reactors
|
2025-03
|
|
8
|
Alexandra Akins
|
Development of a Long Short-Term Memory Autoencoder Anomaly Detection Algorithm for a Liquid Sodium Thermal-Hydraulics System
|
2025-03
|
|
7
|
Aidan Furlong
|
Prediction of CIPS Susceptibility in PWR Assemblies Using 3D Convolutional Neural Networks
|
2024-03
|
|
6
|
Mahmoud Yaseen
|
Uncertainty Quantification in Deep Neural Network Models for Nuclear Reactor Benchmarks
|
2024-03
|
|
5
|
Farah Alsafadi
|
Deep generative modeling-based data augmentation with demonstration using the BFBT benchmark void fraction datasets
|
2023-12
|
|
4
|
Christopher Brady
|
Criticality Safety Analysis of a Spiral Plate Heat Exchanger for Molten Salt Reactors
|
2023-05
|
|
3
|
Ricky Pfrogner
|
CTF PWR Core Modeling and Validation Applicable to High Burnup High Enrichment (HBHE) Fuel
|
2023-03
|
|
2
|
Halil Ibrahim San
|
Sensitivity Analysis of Core Reflood Phenomena with Deep Learning
|
2022-08
|
|
1
|
Jennifer Baglio
|
Analysis of Spent Fuel Pool Shielding for BWRX-300
|
2021-08
|