Research output per year
Research output per year
Personal profile
Research Interests
Explainable Artificial Intelligence, Large Language Models (LLMs), Artificial Intelligence and Machine Learning applied to Complex Systems, High-Dimensional Penalized Regression, Time Series Analysis and Stochastic Processes, Robust Estimation, Anomaly Detection, Data-driven Chemical Kinetics, Chemometrics, sensor fusion.
Education/Academic qualification
PhD, Statistics, Florida State University
Award Date: Dec 1 2018
Master, Statistics, Florida State University
Award Date: Jun 1 2013
Bachelor, Statistics, Idaho State University
Award Date: Jun 1 2010
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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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Statistical distributions for transient transport
Kunz, M. R., Maiti, D., Yablonsky, G. & Fushimi, R., Sep 1 2025, In: Chemical engineering journal. 519, 164980.Research output: Contribution to journal › Article › peer-review
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Digital Twin Analytics SEARCH: Generating initial ML Results for an Unidentified Dataset
INL Software, Kunz, M. (Developer), Wilsdon, K. (Developer), Wen, S. (Developer), Conley, T. (Developer) & Galloway, D. (Developer), 2024Research output: Non-textual form › Software
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Autonomous control of heat pipes through digital twins: Application to fission batteries
Wilsdon, K., Hansel, J., Kunz, M. R. & Browning, J., Sep 2023, In: Progress in Nuclear Energy. 163, 104813.Research output: Contribution to journal › Article › peer-review
Open Access6 Scopus citations -
Internal calibration of transient kinetic data via machine learning
Kunz, M. R., Yonge, A., He, X., Batchu, R., Fang, Z., Wang, Y., Yablonsky, G. S., Medford, A. J. & Fushimi, R. R., May 1 2023, In: Catalysis Today. 417, 113650.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Mechanistic pathways and role of oxygen in oxidative coupling of methane derived from transient kinetic studies
Wang, Y., Wang, B., Sourav, S., Batchu, R., Fang, Z., Kunz, M. R., Yablonsky, G., Nikolla, E. & Fushimi, R., May 10 2023, In: Catalysis Today. 417, 113739.Research output: Contribution to journal › Article › peer-review
Open Access8 Scopus citations
Prizes
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2020 R&D 100 Award for Crop Artificial Intelligence Quotient (Crop AIQ)
Griffel, M. (Recipient), Hartley, D. (Recipient) & Kunz, M. (Recipient), 2020
Prize: Honorary award