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个人简介
Mikel D. Petty is Senior Scientist for Modeling and Simulation at the University of Alabama in Huntsville’s Information Technology and Systems Center, and an Associate Professor of Computer Science. He served as Director of UAH’s Center for Modeling, Simulation, and Analysis for ten years. Prior to joining UAH, he was Chief Scientist at Old Dominion University’s Virginia Modeling, Analysis, and Simulation Center and Assistant Director at the University of Central Florida’s Institute for Simulation and Training. He received a Ph.D. in Computer Science from the University of Central Florida in 1997. Dr. Petty has worked in modeling and simulation research and development since 1990 in areas that include verification and validation methods, simulation interoperability and composability, human behavior modeling, multi-resolution simulation, and simulation software frameworks. He has published over 240 research articles, chapters, and papers and has been awarded over $17 million in research funding. He served on National Research Council and National Science Foundation committees on modeling and simulation, is a Certified Modeling and Simulation Professional, and is Editor-in-Chief of the scholarly journal SIMULATION: Transactions of the Society for Modeling and Simulation International. He has served as dissertation advisor to twelve graduated Ph.D. students in four different academic disciplines: Modeling and Simulation, Computer Science, Industrial and Systems Engineering, and Computer Engineering. His former students include the first two people to receive Ph.D.s in Modeling and Simulation at Old Dominion University and the first five people to receive Ph.D.s in Modeling and Simulation at UAH. His Erdős number is 3.
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2024 ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM, RAMSpp.1-6, (2024)
SYSTEMS ENGINEERINGno. 3 (2024): 532-555
PROCEEDINGS OF THE 2023 ACM SOUTHEAST CONFERENCE, ACMSE 2023pp.96-103, (2023)
Proceedings of the ACM Southeast Conference (2022)
Springer eBookspp.975-990, (2021)
Discover Artificial Intelligenceno. 1 (2021): 1-33
ACM-SEpp.25-32, (2021)
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