基本信息
浏览量:0
职业迁徙
个人简介
Sayantini Majumdar received the Bachelor of Technology degree in electronics and communication engineering from the Institute of Engineering and Management affiliated to the West Bengal University of Technology, India, in 2015, and the Master of Science degree from the Department of Electrical and Computer Engineering, Technical University of Munich (TUM) in 2019. She is currently pursuing the Doctoral degree with the Munich Research Centre, Huawei Technologies Duesseldorf GmbH and the Chair of Network Architectures and Services, TUM, Germany. Her primary research interests include evolution to B5G/6G network architectures, with a focus on telecommunication network and service management and automation, and applications of Artificial Intelligence/Machine Learning (AI/ML), specifically Reinforcement Learning, to the same. She has published in IEEE ComSoc conferences (IEEE Globecom, IEEE ICC) and is an IEEE ComSoc Student Member.
研究兴趣
论文共 10 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
IEEE Transactions on Network and Service Managementno. 99 (2023): 1-1
IEEE Transactions on Network and Service Managementno. 2 (2022): 1-1
Min Xie,Foivos Michelinakis,Thomas Dreibholz, Joan S. Pujol Roig,Sara Malacarne,Sayantini Majumdar,Wint Yi Poe,Ahmed Elmokashfi
2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)pp.419-424, (2021)
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