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个人简介
Jonathan Bunton received the BSc degree in physics, with a second major in applied mathematics (summa cum laude), from Austin Peay State University, Clarksville, TN, USA, in 2018 and the MSc degree in electrical and computer engineering from the University of California, Los Angeles, Los Angeles, CA, USA, where he is currently working toward the PhD degree while affiliated with the Cyber-Physical Systems Lab. His research interests include continuous and discrete optimization, with a particular interest in methods for solving mixed continuous and discrete optimization problems.
研究兴趣
论文共 19 篇作者统计合作学者相似作者
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ACCpp.4729-4734, (2024)
IEEE TRANSACTIONS ON MOBILE COMPUTINGno. 3 (2023): 1810-1824
IOT FOR DEFENSE AND NATIONAL SECURITYpp.39-57, (2023)
IEEE CONTROL SYSTEMS LETTERS (2023): 2401-2406
2022 IEEE 61st Conference on Decision and Control (CDC) (2022)
2022 IEEE 61st Conference on Decision and Control (CDC) (2022)
Tzanis Anevlavis,Jonathan Bunton,Jared Coleman, Mine Dogan,Eugenio Grippo,Abel Souza,Christina Fragouli,Bhaskar Krishnamachari, Matthew Maness, Karl Olson,Prashant Shenoy,Paulo Tabuada,Gunjan Verma
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR MULTI-DOMAIN OPERATIONS APPLICATIONS IV (2022)
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作者统计
#Papers: 19
#Citation: 120
H-Index: 6
G-Index: 10
Sociability: 4
Diversity: 2
Activity: 19
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