基本信息
浏览量:43
职业迁徙
个人简介
ubhro Das is a Research Staff Member in AI Algorithms at the MIT-IBM Watson AI Lab, IBM Research, Cambridge MA. He is a Research Affiliate at MIT, co-leading IBM's engagement in the Bridge pillar of MIT Quest for Intelligence. He serve as the Co-Chair of the AI Learning Professional Interest Community (PIC) at IBM Research.
His research interests are in distributed learning over multi-agent networks, dynamical systems, multi-agent reinforcement learning, accelerated & adaptive optimization methods, and online learning in non-stationary environments – broadly in the areas of AI, machine learning, and statistical signal processing with applications in healthcare and social good. Before moving to Cambridge, he was a Research Scientist at IBM T.J. Watson Research Center, New York. Therein, he worked on developing signal processing and machine learning based predictive algorithms for a broad variety of biomedical and healthcare applications.
He received MS and PhD degrees in Electrical and Computer Engineering from Carnegie Mellon University in 2014 and 2016, respectively. His dissertation research was in distributed filtering and prediction of time-varying random fields and he was advised by Prof. José M. F. Moura. He completed his Bachelors (B.Tech.) degree in Electronics & Electrical Communication Engineering from Indian Institute of Technology Kharagpur in 2011. During the summers of 2009, 2010 and 2015, he was an intern at Ulm University (Germany), Gwangju Institute of Science & Technology (South Korea), and, Bosch Research (Palo Alto, CA), respectively.
His research interests are in distributed learning over multi-agent networks, dynamical systems, multi-agent reinforcement learning, accelerated & adaptive optimization methods, and online learning in non-stationary environments – broadly in the areas of AI, machine learning, and statistical signal processing with applications in healthcare and social good. Before moving to Cambridge, he was a Research Scientist at IBM T.J. Watson Research Center, New York. Therein, he worked on developing signal processing and machine learning based predictive algorithms for a broad variety of biomedical and healthcare applications.
He received MS and PhD degrees in Electrical and Computer Engineering from Carnegie Mellon University in 2014 and 2016, respectively. His dissertation research was in distributed filtering and prediction of time-varying random fields and he was advised by Prof. José M. F. Moura. He completed his Bachelors (B.Tech.) degree in Electronics & Electrical Communication Engineering from Indian Institute of Technology Kharagpur in 2011. During the summers of 2009, 2010 and 2015, he was an intern at Ulm University (Germany), Gwangju Institute of Science & Technology (South Korea), and, Bosch Research (Palo Alto, CA), respectively.
研究兴趣
论文共 61 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
Wang Zhang, Ziwen Martin Ma,Subhro Das,Tsui-Wei Lily Weng,Alexandre Megretski,Luca Daniel,Lam M. Nguyen
AAAI 2024no. 15 (2024): 16857-16864
CoRR (2024)
引用0浏览0EI引用
0
0
Neil Thompson,Martin Fleming, Benny J. Tang, Anna M. Pastwa, Nicholas Borge, Brian C. Goehring,Subhro Das
AAAI 2024no. 21 (2024): 23012-23018
arxiv(2023)
引用0浏览0EI引用
0
0
arxiv(2023)
CoRRno. 2 (2023): 1672-1679
引用0浏览0EI引用
0
0
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