The research focus of Parallel Computing and Data Science (PCDS) Lab is at the intersection of high performance computing and real-world applications, especially in computational biology. We are particularly interested in High Performance Computing (HPC) solutions to Big Data problems in high-throughput proteomics and genomics using variety of high-performance architectures and algorithms. More info about the lab can be found at http://www.saeedfahad.com

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Reports from 2018

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Similarity based classification of ADHD using Singular Value Decomposition, Taban Eslami and Fahad Saeed