.png){kind=icon}
L
Long Bao Le
H指数:54
被引数:1.3万
个人简介
Dr. Long Bao Le (Long Le) is currently a full professor at INRS, University of Quebec. Prior to joining INRS, he was a postdoctoral researcher at Massachusetts Institute of Technology in 2008-2010 and University of Waterloo in 2007-2008. Dr. Le received his PhD degree from University of Manitoba in 2007, M.Eng. degree from Asian Institute of Technology (AIT) in 2002, and B.Eng. degree from Ho Chi Minh City University of Technology in 1999. Dr. Le leads the NECPHY-Lab performing research and training in the broad areas of wireless communications and networking, AI/ML, cyber-security, cloud/edge computing, and smart grids. He has served as an editor for different journals including IEEE Transactions on Communications (2022-present), IEEE Transactions on Cognitive Communications and Networking (2021-present), IEEE Transactions on Wireless Communications, IEEE Wireless Communications Letters, and IEEE Communications Surveys & Tutorials. He has served in the organization committees for different conferences including IEEE WCNC, IEEE VTC, and IEEE PIMRC. Dr. Le is an IEEE fellow.
教育背景
2007.12
University of Manitoba PhD
2002.12
Asian Institute of Technology (AIT) M.Eng.
1999.12
Ho Chi Minh City University of Technology B.Eng.
工作经历
2008.01 – 2010.12
Massachusetts Institute of Technology
postdoctoral researcher
2007.01 – 2008.12
University of Waterloo
postdoctoral researcher
荣誉奖项
- IEEE fellow｜IEEE
基于专家混合模型的数字语义通信的自适应语义速率与调制
无线网络中深度神经网络高效推理的协同卸载与资源分配
一种用于扩散模型中后门防御和后门放大的双用途框架
基于异构专家混合模型的文本语义通信系统扩展
联合信源和信道编码的语义通信系统后门攻击
采用莫比乌斯带隐喻和批判性反思框架，探讨服务学习中的个人障碍
基于WSN的密集森林野生动物定位框架，通过优化技术实现
AD HOC NETWORKS
IF4.8
BMC PUBLIC HEALTH
IF3.6
在O-RAN中集成零信任架构：一份全面的综述与分析
Metaverse的安全性: 用于入侵检测的区块链和机器学习技术
IEEE NETWORK
IF6.3
APPLIED ENERGY
IF11
IEEE ACCESS
IF3.6
IEEE ACCESS
IF3.6
用于Metaverse中AI生成的内容交易和管理的无信任区块链框架
IEEE ACCESS
IF3.6
考虑电池退化和随机车辆进出的建筑能源管理和电动汽车充电 *
通过新的计算酒轮将神经网络应用于葡萄酒信息学
FERMENTATION-BASEL
IF3.3
LoRaWAN中基于机器学习的路径损耗和阴影组合模型，用于提高能效
