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Tyler Cody received the Ph.D. degree in systems engineering from the University of Virginia, Charlottesville, VA, USA, in 2021, for his work on a systems theory of transfer learning.
He is an Assistant Research Professor with the Intelligent Systems Division, National Security Institute, Virginia Tech, Arlington, VA. His research interests include developing principles and best practices for the systems engineering of machine learning and artificial intelligence. His research has been applied to engineered systems broadly, including hydraulic actuators, industrial compressors, rotorcraft, telecommunication systems, and computer networks.
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论文共 45 篇作者统计合作学者相似作者
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D. Richard Kuhn, Mohammad S. Raunak, Raghu N. Kacker,Jaganmohan Chandrasekaran,Erin Lanus,Tyler Cody, Laura J. Freeman
Computerno. 5 (2024): 86-90
Cheng Wang,Akshay Kakkar,Christopher Redino,Abdul Rahman, Ajinsyam S,Ryan Clark, Daniel Radke,Tyler Cody,Lanxiao Huang,Edward Bowen
SoutheastCon 2023 (2024): 685-692
CoRR (2024)
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The Proceedings of the 2023 Conference on Systems Engineering Research Conference on Systems Engineering Research Seriespp.397-409, (2024)
IEEE Systems Journalno. 1 (2023): 26-37
DISRUPTIVE TECHNOLOGIES IN INFORMATION SCIENCES VII (2023)
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ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR MULTI-DOMAIN OPERATIONS APPLICATIONS V (2023)
Riddam Rishu,Akshay Kakkar,Cheng Wang,Abdul Rahman,Christopher Redino,Dhruv Nandakumar,Tyler Cody,Ryan Clark, Daniel Radke,Edward Bowen
Conference on Applied Machine Learning in Information Security (2023): 77-90
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arxiv(2023)
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