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His research interests are in parallel and distributed processing systems and infrastructures for collaborative computing. His prior and current research efforts have focused on system architectures and implementations for heterogeneous metacomputing, including the Parallel Virtual Machine (PVM) system and several other frameworks including IceT, CCF, Harness, and Unibus. Vaidy teaches computer science at the beginning, advanced, and graduate levels, and advises graduate theses in the area of computer systems. He also serves on several university committees and planning groups including Emory's strategic initiatives in science and quantitative areas, informatics, and undergraduate education.
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Applied Sciencesno. 9 (2023): 5468-5468
2023 IEEE International Conference on Big Data (BigData)pp.5024-5030, (2023)
2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA)pp.1-8, (2023)
Computational Science – ICCS 2023pp.492-504, (2023)
Dariusz Mrozek, Szymon Kwasnicki,Vaidy S. Sunderam,Bozena Malysiak-Mrozek,Krzysztof Tokarz,Stanislaw Kozielski
ICCS (4)pp.471-484, (2021)
2020 IEEE International Conference on Smart Data Services (SMDS)pp.45-52, (2020)
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