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


Reports from 2018


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