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Nick Bambos is a Professor at Stanford University, having a joint appointment in the Department of Electrical Engineering and the Department of Management Science & Engineering. He heads the Network Architecture and Performance Engineering research group at Stanford, conducting research in wireless network architectures, the Internet infrastructure, packet switching, network management and information service engineering, engaged in various projects of his Network Architecture Laboratory (NetLab). His current technology research interests include high-performance networking, autonomic computing, and service engineering. His methodological interests are in network control, online task scheduling, queueing systems and stochastic processing networks.
He is on the Editorial Boards of several research journals and serves on various international technical committees and review panels for networking research and information technologies. He has been serving on the boards of various start-up companies in the Silicon Valley, consults on high technology development and management matters, and has served as lead expert witness in high-profile patent litigation cases in networking and computing.
He is on the Editorial Boards of several research journals and serves on various international technical committees and review panels for networking research and information technologies. He has been serving on the boards of various start-up companies in the Silicon Valley, consults on high technology development and management matters, and has served as lead expert witness in high-profile patent litigation cases in networking and computing.
研究兴趣
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IEEE CONTROL SYSTEMS LETTERS (2023): 955-960
arxiv(2023)
arxiv(2022)
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Ariana J. Mann,Nicholas Bambos
CDCpp.1803-1809, (2022)
Isha Thapa,Raymond Lee, Marcelo Fernandez Vina,Bing M. Zhang,Humera Ahmed,Andrew Y. Shin,Nicholas Bambos,David N. Rosenthal,David Scheinker
Social Science Research Networkno. 3 (2022): 100144-100144
2022 IEEE International Conference on E-health Networking, Application & Services (HealthCom)pp.199-204, (2022)
J. Mach. Learn. Res. (2022): 139:1-139:43
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