基本信息
views: 44
Career Trajectory
Bio
Jean-Francois Chamberland (Senior Member, IEEE) received the B.Eng. degree from McGill University, the M.S. degree from Cornell University, and the Ph.D. degree from the University of Illinois at Urbana–Champaign. He is currently a Professor with the Department of Electrical and Computer Engineering, Texas A&M University. Recently, he has been studying the efficient design of wireless systems and the fundamental limits of communication networks. His research interests include communications and information theory, statistical inference, computer systems and networks, and learning. His contributions have been recognized through the IEEE Young Author Best Paper Award from the IEEE Signal Processing Society, the Faculty Early Career Development (CAREER) Award from the National Science Foundation (NSF), and the IEEE Communications Society and Information Theory Society Joint Paper Award. He also serves as a Senior Area Editor for the IEEE Open Journal of Signal Processing. He was an Associate Editor of the IEEE Transactions on Information Theory.
Research Interests
Papers共 114 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024): 9221-9225
CoRR (2024): 2015-2020
2023 IEEE INFORMATION THEORY WORKSHOP, ITWpp.136-141, (2023)
Vishnu Teja Kunde, Vicram Rajagopalan,Chandra Shekhara Kaushik Valmeekam,Krishna Narayanan,Srinivas Shakkottai,Dileep Kalathil,Jean-Francois Chamberland
arxiv(2023)
arXivorg (2023)
ISIT (2023): 2350-2355
IEEE transactions on communicationsno. 11 (2023): 6391-6401
arXiv (Cornell University) (2023)
European Signal Processing Conferencepp.1534-1538, (2023)
Load More
Author Statistics
#Papers: 114
#Citation: 2866
H-Index: 23
G-Index: 52
Sociability: 5
Diversity: 3
Activity: 17
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn