Subhro Das  Subhro Das photo         

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Research Staff Member
MIT-IBM Watson AI Lab, IBM Research, Cambridge, MA, USA


Professional Associations

Professional Associations:  IEEE  |  IEEE Signal Processing Society   |  New York Academy of Science

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More information:  LinkedIn  |  Google Scholar  |  Webpage@CMU  |  Math Genealogy


Learning Patient Engagement in Care Management: Performance vs. Interpretability
Subhro Das, Chandramouli Maduri, Ching-Hua Chen, Pei-Yun S. Hsueh
arXiv:1906.08339, 2019

Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines
Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney
arXiv:1905.03297, 2019


An Adaptive, Data- Driven Personalized Advisor for Increasing Physical Activity
Zhiguo Li, Subhro Das, James Codella, Tian Hao, Kun Lin, Chandramouli Maduri, and, Ching-Hua Chen
IEEE Journal of Biomedical and Health Informatics, 2018

Learning to Personalize from Practice: A Real World Evidence Approach of Care Plan Personalization based on Differential Patient Behavioral Responses in Care Management Records
Pei-Yun Hsueh, Subhro Das, Chandramouli Maduri, and Karie Kelley
Proceedings of AMIA Annual Symposium, 2018
**Distinguished Paper Award**


A Personalized Pacing System for Real-time Physical Activity Advisor
Henry Chang, Zhiguo Li, Subhro Das, Tian Hao, Chandramouli Maduri, Chohreh Partovian, James Codella, Ching-Hua Chen
Proceedings of IEEE/ACM CHASE, 2017

Making Sense of Patient-Generated Health Data for Interpretable Patient-Centered Care: The Transition from
Pei-Yun Hsueh, Sanjoy Dey, Subhro Das, Thomas Wetter
Studies in Health Technology and Informatics, 2017

Distributed estimation of random fields over multi-agent networks
Subhro Das, Jose M. F. Moura
42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017

Consensus+Innovations Distributed Kalman Filter with Optimized Gains
Subhro Das, Jose M. F. Moura
IEEE Transactions on Signal Processing, IEEE, 2017


Distributed Linear Filtering and Prediction of Time-varying Random Fields
Subhro Das
Dissertations. 765, Carnegie Mellon University, 2016


Distributed Kalman filtering with dynamic observations consensus
Subhro Das, Jose M. F. Moura
IEEE Transactions on Signal Processing 63(17), 4458--4473, IEEE, 2015


Distributed state estimation in multi-agent networks
Subhro Das, Jose M. F. Moura
38th IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 4246-4250, 2013

Distributed Kalman Filtering
Subhro Das, Jose M. F. Moura
21st European Signal Processing Conference, pp. 1-5, 2013

Distributed linear estimationof dynamic random fileds
Subhro Das, Jose M. F. Moura
51st Annual Allerton Conference on Communication, Control, and Computing, pp. 1120-1125, 2013

Distributed Kalman filtering and network tracking capacity
Subhro Das, Jose M. F. Moura
47th Asilomar Conference on Signals, Systems, and Computers, pp. 629-633, 2013