PUBLICATIONS
PUBLICATIONS
Artificial Intelligence
Democratizing AI for Condition-Based Maintenance using Probabilistic Programming
Kenneth Lu1, Sanja Cvijic1, David Dewhurst1, Joe Gorman1, Rob Hyland1, James Templin2 Proceedings of The 69th Annual Reliability & Maintainability Symposium (RAMS®) (January 2023) Advances in AI/ML have demonstrated enormous potential in improving and optimizing condition-based maintenance processes; however, AI/ML
Need for AI in Transformer Diagnostics and Prognostics
Sanja Cvijic1, Nidhi Gupta1, Scott Lux2 Proceedings of The 69th Annual Reliability & Maintainability Symposium (RAMS®) (January 2023) Power equipment, such as electrical transformers, undergo performance degradation over time that can prevent them from functioning properly in critical situations or
Ecological and Coevolutionary Dynamics in Modern Markets Yield Nonstationarity in Market Efficiencies
Van Oort, C., Ring, J.H., Dewhurst, D., Danforth, C. and Tivnan, B. Complexity, Volume 2022, Article ID 7109529 (June 2022) U.S. stock market is one of the largest and most complex marketplaces in the global financial system. Over the past
Unifying AI Algorithms with Probabilistic Programming using Implicitly Defined Representations
Pfeffer, A., Harradon, M., Campolongo, J., and Cvijic, S. arXiv:2110.02325 (October 2021) We introduce Scruff, a new framework for developing AI systems using probabilistic programming. Scruff enables a variety of representations to be included, such as code with stochastic choices,
Demonstration of an Explainable AI System Performing Human-Machine Teaming in a Real-Time Strategy Game
Moody, V., Druce, J., and Niehaus, J. Educational Advances in Artificial Intelligence 2022 (EAAI-22) (February 2022) In this paper we demonstrate the use of an Explainable Artificial Intelligence (XAI) system that enables users to team effectively with Artificial Intelligence (AI)
Towards Incorporating Artificial Intelligence in the Mission Planning Process
Kane, S., Moody, V, and Harradon, M. HCI International, Washington, DC (June 2021) While there are numerous powerful tools to support Navy mission planning, the mission planning process still remains a hybrid planning activity across human operators and advanced tools.
Assessing Situation Awareness (SA) Using Single- or Dual-Location Functional Near Infrared Spectroscopy (fNIRS)
Bethany K. Bracken1, Aaron Winder1, Brandon Hager1, Mica R. Endsley2, and Elena K. Festa3 Presented at BIOSTEC 2023. 16th International Joint Conference on Biomedical Engineering Systems and Technologies (February 2023) To operate effectively across a
Democratizing AI for Condition-Based Maintenance using Probabilistic Programming
Kenneth Lu1, Sanja Cvijic1, David Dewhurst1, Joe Gorman1, Rob Hyland1, James Templin2 Proceedings of The 69th Annual Reliability & Maintainability Symposium (RAMS®) (January 2023) Advances in AI/ML have demonstrated enormous potential in improving and optimizing
Need for AI in Transformer Diagnostics and Prognostics
Sanja Cvijic1, Nidhi Gupta1, Scott Lux2 Proceedings of The 69th Annual Reliability & Maintainability Symposium (RAMS®) (January 2023) Power equipment, such as electrical transformers, undergo performance degradation over time that can prevent them from functioning
Differential Excretory/Secretory Proteome of the Adult Female and Male Stages of the Human Blood Fluke, Schistosoma mansoni
Frontiers in Parasitology, 18 July 2022, doi: 10.3389/fpara.2022.950744 Eric T. Kenney1, Victoria H. Mann1, Wannaporn Ittiprasert1, Bruce A. Rosa2, Makedonka Mitreva2, Bethany K. Bracken3, Alex Loukas4, Paul J. Brindley1 and Javier Sotillo5 Intricate molecular communication
Ecological and Coevolutionary Dynamics in Modern Markets Yield Nonstationarity in Market Efficiencies
Van Oort, C., Ring, J.H., Dewhurst, D., Danforth, C. and Tivnan, B. Complexity, Volume 2022, Article ID 7109529 (June 2022) U.S. stock market is one of the largest and most complex marketplaces in the global
Unifying AI Algorithms with Probabilistic Programming using Implicitly Defined Representations
Pfeffer, A., Harradon, M., Campolongo, J., and Cvijic, S. arXiv:2110.02325 (October 2021) We introduce Scruff, a new framework for developing AI systems using probabilistic programming. Scruff enables a variety of representations to be included, such
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