基本信息
浏览量:0
职业迁徙
个人简介
Etee Kawna Roy received the master’s degree in engineering from Arkansas State University, where she worked as a Graduate Research Assistant in dynamics modeling of electrostatic self-assembly of charged nanoparticles in inverted system, and the master’s degree in electrical engineering from the University of Dhaka, Bangladesh, and her thesis was on Artificial Neural Network and Fuzzy Inference System and their application in Acute Myeloid Leukemia Prediction. She is currently pursuing the Ph.D. degree in electrical engineering with the University of Utah with research interests in fabrication and electrical measurement of microstructural properties in CdTe/Perovskite solar cells. She also served as a Faculty Member with the University of Dhaka and Ranada Prasad Shaha University, Bangladesh.
研究兴趣
论文共 5 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
2023 IEEE 50TH PHOTOVOLTAIC SPECIALISTS CONFERENCE, PVSC (2023)
Saikat Das,Sajal Saha, Annita Tahsin Priyoti,Etee Kawna Roy,Frederick T. Sheldon,Anwar Haque,Sajjan Shiva
IEEE Transactions on Network and Service Managementno. 4 (2022): 4821-4833
2022 IEEE 49th Photovoltaics Specialists Conference (PVSC)pp.1-4, (2022)
引用1浏览0EIWOS引用
1
0
Etee Kawna Roy, Shubhalaxmi Kher
Etee Kawna Roy, Subrata Kumar Aditya
Lecture Notes in Networks and Systems (2019): 427-439
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