H. Vincent Poor
Papers
11
Total Citations
291
H-Index
8
About
H. Vincent Poor is a prominent researcher whose work bridges wireless communications, distributed machine learning, and intelligent networked systems. His research spans next-generation communication networks, robotic communications, and game-theoretic optimization frameworks, establishing him as a leading voice in the evolution toward 5G, Beyond-5G, and Industry 4.0 infrastructures. Poor's most influential contributions include pioneering work on communication-efficient distributed learning, where his 2023 survey (114 citations) articulates how collaborative model training across mobile devices and sensors can power intelligent networks without compromising data privacy. His investigations into time-sensitive networking and wireless TSN architectures (45 citations) address critical latency demands in robotics and autonomous systems, while his explorations of robotic communications for 5G and beyond (34 citations) map the unique challenges these platforms pose for modern network design. Particularly notable is his application of mean-field game theory to mobile crowdsensing and UAV trajectory optimization, offering elegant mathematical solutions to large-scale coordination problems. His earlier work connecting cognitive radio routing with robotic potential fields demonstrates a distinctive interdisciplinary creativity. Collectively accumulating nearly 300 citations across these works, Poor's research continues shaping how intelligent, mobile, and time-critical systems will communicate in an increasingly connected world.
Research Focus
Key Achievements
Top Papers
- 1Communication-Efficient Distributed Learning: An Overview114 citations · 2023
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- 6Real-Time Monitoring of Chaotic Systems With Known Dynamical Equations12 citations · 2024
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