معرفی
Jiewei Feng is a Postdoctoral Research Associate in the Department of Electrical and Computer Engineering at Northeastern University. He holds a Ph.D. in Mathematics from Northeastern University (2023). His research focuses on stochastic systems, random growth models, and communication systems, with a strong emphasis on interdisciplinary applications in signal processing and distributed ledger technologies.
Education:
- Ph.D. in Mathematics, Northeastern University, Boston, USA (2023)
Research Interests:
Jiewei’s work spans stochastic systems and their applications to communication systems, including decoding algorithms for impulsive noise and distributed ledger models. He explores fluid limits and asymptotic behaviors in random graph models, contributing to the theoretical foundations of modern communication and blockchain technologies. His studies in random growth models bridge mathematical theory with practical engineering challenges.
Publications:
His recent work emphasizes decoding techniques (e.g., GRAND, GCD, and SCL algorithms) and the analysis of distributed ledgers. Key themes include optimizing query structures, mitigating noise in communication systems, and modeling network behaviors through stochastic processes.
Labs & Teams:
He is affiliated with the Department of Electrical and Computer Engineering at Northeastern University, contributing to research in communications, control, and signal processing.
