基本信息
浏览量:3
职业迁徙
个人简介
Mohammadhadi Shateri (Member, IEEE) received the B.Sc. degree (Hons.) in electrical engineering from the Amirkabir University of Technology, Tehran, Iran, in 2012, and the M.Sc. degree (Hons.) in electrical engineering from the University of Manitoba, Winnipeg, Canada, in 2017. He is currently pursuing the Ph.D. degree in electrical engineering with McGill University, Montreal, Canada. His research interests include machine learning, deep learning, and reinforcement learning with application to data analytics and smart grids.
研究兴趣
论文共 26 篇作者统计合作学者相似作者
按年份排序按引用量排序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
Composites Science and Technologypp.110545, (2024)
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2024): 1728-1743
IEEE/ACM International Conference on Big Data Computing, Applications and Technologiespp.09:1-09:10, (2023)
Scientific Reportsno. 1 (2023): 1-12
2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)pp.138-143, (2022)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn