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My research encompasses methodological and algorithmic innovations at the intersection of machine learning and large-scale systems. These bring issues of tractability, numerical stability, convergence, timeliness and throughput to the fore.These investigations have occured in the context of three broad areas: (1) spatiotemporal data management and analytics, (2) extreme-scale storage systems, and (3) stream processing for Internet-of-Things and Cyber Physical Systems settings.
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Nature Reviews Earth & Environmentno. 8 (2023): 582-595
引用3浏览0WOSNATURE引用
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2023 IEEE International Conference on Big Data (BigData)pp.1555-1562, (2023)
2023 IEEE 16th International Conference on Cloud Computing (CLOUD)pp.72-83, (2023)
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2023 IEEE International Conference on Big Data (BigData)pp.1222-1229, (2023)
2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid)pp.592-604, (2023)
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Menuka Warushavithana, Kassidy Barram, Caleb Carlson,Saptashwa Mitra,Sudipto Ghosh,F. Jay Breidt, Sangmi Lee Pallickara,Shrideep Pallickara
IEEE/ACM International Conference on Big Data Computing, Applications and Technologiespp.06:1-06:11, (2023)
IEEE/ACM International Conference on Big Data Computing, Applications and Technologiespp.11:1-11:11, (2023)
2022 Fourth International Conference on Transdisciplinary AI (TransAI)pp.89-96, (2022)
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