Research output per year
Research output per year
Personal profile
Biography
I work on risk identification and reliability quantification methods for digital instrumentation and control systems. In addition, I develop algorithms to detect trustworthiness for machine learning algorithms using out-of-distribution detection. My primary interest is establishing trustworthiness and reliability in artificial intelligent algorithms beyond interpretability and explainability. One of the software tools I have developed to assess reliability in machine learning is called Data Auditing for Reliability Evaluation, a static data-informed model agnostic tool that can determine the reliability of individual predictions in a real-time manner.
Research Interests
Reliability engineering
Machine learning and data analysis
Out-of-distribution detection
Condition monitoring and prognostic health management
Education/Academic qualification
PhD, Nuclear Engineering, North Carolina State University
2019 → 2023
Bachelor, Electrical Engineering, University of Calgary
2014 → 2019
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Method for Software Failure Mode Quantification Under Limited Data Conditions
Shorthill, T., Bao, H., Chen, E. & Ban, H., Oct 10 2024.Research output: Contribution to conference › Abstract › peer-review
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An Integrated Framework for Risk Assessment of Safety-related Digital Instrumentation and Control Systems in Nuclear Power Plants: Methodology Advancement and Application
Shorthill, T. H., Chen, E., Kim, J., Wang, C., Athe, P., Bao, H., Dinh, N. & Lawrence, S., Sep 1 2024Research output: Book/Report › Technical Report
Open Access -
DARE: Data Auditing for Reliability Evaluation
INL Software, Chen, E. (Developer) & Bao, H. (Developer), 2024Research output: Non-textual form › Software
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Digital-Twin-Enabling Technologies for Online Condition Monitoring of Nuclear Power Plant Components
Chen, E., Yadav, V. & Agarwal, V., Jun 19 2024, 2024 International Congress on Advances in Nuclear Power Plants (ICAPP).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Evaluating the Reliability of Machine-Learning-based Predictions used in Nuclear Power Plant Instrumentation and Control Systems
Chen, E., Bao, H. & Dinh, N., Jun 8 2024, In: Reliability Engineering and System Safety. 250, p. 110266 1 p., 110266.Research output: Contribution to journal › Article › peer-review
13 Scopus citations
Activities
- 1 Membership of network
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American Nuclear Society (ANS) (External organization)
Chen, E. (Member)
Aug 2019 → …Activity: Membership › Membership of network