Следене
Sheshank Shankar
Sheshank Shankar
University of Washington, MIT
Потвърден имейл адрес: mit.edu - Начална страница
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Proximity Sensing: Modeling and Understanding Noisy RSSI-BLE Signals and Other Mobile Sensor Data for Digital Contact Tracing
S Shankar, R Kanaparti, A Chopra, R Sukumaran, P Patwa, M Kang, ...
(accepted to IEEE ICACT) Proc of International NeurIPS 2020 Workshop on …, 2020
20*2020
Challenges of equitable vaccine distribution in the covid-19 pandemic
J Bae, D Gandhi, J Kothari, S Shankar, J Bae, P Patwa, R Sukumaran, ...
arXiv preprint arXiv:2012.12263, 2020
142020
Clinical landscape of covid-19 testing: Difficult choices
D Gandhi, S Landage, J Bae, S Shankar, R Sukumaran, P Patwa, S TV, ...
arXiv preprint arXiv:2011.04202, 2020
72020
Mobile apps prioritizing privacy, efficiency and equity: A decentralized approach to covid-19 vaccination coordination
J Bae, R Sukumaran, S Shankar, A Sharma, I Singh, H Nazir, C Kang, ...
arXiv preprint arXiv:2102.09372, 2021
62021
Can Self Reported Symptoms Predict Daily COVID-19 Cases?
P Patwa, V Reddy, R Sukumaran, S TV, E Nashnoush, S Shankar, R Kaur, ...
Proc of International IJCAI 2021 Workshop on Artificial Intelligence for …, 2021
52021
Mit safepaths card (misaca): Augmenting paper based vaccination cards with printed codes
J Bae, R Sukumaran, S Shankar, S Srivastava, R Iyer, A Mahindra, ...
arXiv preprint arXiv:2101.07931, 2021
42021
Vaccination Worldwide: Strategies, Distribution and Challenges
C Samal, K Jakimowicz, K Dasgupta, A Vashishtha, A Natarajan, H Nazir, ...
arXiv preprint arXiv:2107.14139, 2021
32021
Covid-19 tests gone rogue: Privacy, efficacy, mismanagement and misunderstandings
M Morales, R Barbar, D Gandhi, S Landage, J Bae, A Vats, J Kothari, ...
arXiv preprint arXiv:2101.01693, 2021
32021
Digital landscape of COVID-19 testing: challenges and opportunities
D Gandhi, R Sukumaran, P Katiyar, A Radunsky, S Anand, S Advani, ...
arXiv preprint arXiv:2012.01772, 2020
32020
COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms
R Sukumaran, P Patwa, S T V, S Shankar, R Kanaparti, J Bae, Y Mathur, ...
Journal of Behavioral Data Science 1 (1), 154-169, 2021
22021
Paper card-based vs application-based vaccine credentials: a comparison
A Mahindra, A Sharma, P Katiyar, R Sukumaran, I Singh, A Johnson, ...
arXiv preprint arXiv:2102.04512, 2021
22021
Challenges in equitable covid-19 vaccine distribution: A roadmap for digital technology solutions
J Bae, D Gandhi, J Kothari, S Shankar, J Bae, P Patwa, R Sukumaran, ...
arXiv preprint arXiv:2012.12263, 2020
22020
Co-Dream: Collaborative data synthesis with decentralized models
A Singh, G Gupta, C Lu, Y Koirala, S Shankar, M Ehab, R Raskar
ICML Workshop on Localized Learning (LLW), 2023
2023
The Feasibility of Co-location Detection through a Deep Learning Fusion of Mobile Sensors
S Shankar
https://www.nist.gov/document/sheshank-shankar-presentation, 2021
2021
Detection and Visualization of Dense Subgroups at Multiple Resolutions in Large Social Networks
N Gupta, J Ghosh, G Gupta, S Shankar, A Tarasar
IEEE/ACM International Conference on Advances in Social Networks Analysis …, 2020
2020
Robust Unsupervised Mining of Dense Sub-Graphs at Multiple Resolutions
N Gupta, G Gupta, J Ghosh, S Shankar, A Mallen
Proc. of Intl. KDD Workshop on Mining and Learning with Graphs, San Diego …, 2020
2020
COMPARING CARD-BASED VACCINE CREDENTIAL SYS-TEMS WITH APP-BASED VACCINE CREDENTIAL SYS-TEMS
CCV Aryan Mahindra, P Katiyar, A Sharma, S Shankar, R Sukumaran, ...
EXPLORATORY OVERVIEW OF COVID-19 VACCINE
A Natarajan, P Kamaraj, A Thakur, A Venkatasubramanian, A Pandey, ...
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