Sriman Bidhan Baray

Sriman Bidhan Baray

PhD Student | Graduate Research Assistant

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Complex nurse care activity recognition using statistical features

Published in UbiComp/ISWC 2020 Adjunct: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, 2020

P. Basak, S. M. Tasin, M. I. Tapotee, M. M. Sheikh, A. H. M. N. Sakib, S. B. Baray, et al., “Complex Nurse Care Activity Recognition Using Statistical Features,” in Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (UbiComp/ISWC 20 Adjunct), 2020, pp. 384–389, doi: 10.1145/3410530.3414338.

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An Empirical Approach for Human Locomotion and Transportation Recognition from Radio Data

Published in UbiComp/ISWC 2021 Adjunct: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, 2021

P. Saha, M. M. Alam, M. I. Tapotee, S. B. Baray, and M. A. R. Ahad, “An Empirical Approach for Human Locomotion and Transportation Recognition from Radio Data,” in Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers (UbiComp/ISWC 21 Adjunct), 2021, pp. 390–395, doi: 10.1145/3460418.3479384.

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Testing DRIP-GPS: a simulation study on real-time precision irrigation with GNSS-R

Published in Proceedings Volume 13475, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping X; 134750E (2025) https://doi.org/10.1117/12.3053922, Event: SPIE Defense + Commercial Sensing, 2025, Orlando, Florida, United States, 2025

S. B. Baray, M. M. Farhad, G. Vellidis, and M. Kurum, “Testing DRIP-GPS: a simulation study on real-time precision irrigation with GNSS-R,” in Proc. SPIE 13475, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping X, 134750E, 2025, doi: 10.1117/12.3053922.

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Integrating UAS-based GNSS-R, LiDAR, and Multispectral Data for Soil Moisture Estimation: Summary of Results from a Three-Year Long Field Campaign

Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025

M. M. Farhad, V. Senyurek, M. A. S. Rafi, S. B. Baray, C. McCraine, L. A. Hathcock, A. Adeli, Y. Huang, A. C. Gurbuz, and M. Kurum, “Integrating UAS-based GNSS-R, LiDAR, and Multispectral Data for Soil Moisture Estimation: Summary of Results from a Three-Year Long Field Campaign,” IEEE J. Sel. Topics Appl. Earth Observations Remote Sensing, vol. 18, pp. 16896–16915, 2025, doi: 10.1109/JSTARS.2025.3580114.

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