Accelerating K-mer Counting for Genomic Analysis in a Shared Memory Environment
A tool named Frigate capable of efficient counting and querying of k-mers for genomic analysis in a shared memory environment.
Optimizing K-mer Counting and Querying in Commodity Clusters
An efficient k-mer counting and querying tool optimized for commodity clusters.
Optimizing B+-Tree for Byte-Addressable Non-Volatile Memory
Contributed to the design and development of two novel B+-trees, Crab-Tree and Circ-Tree, which outperformed state-of-the-art tree data structures.
Autism Spectrum Disorder Indicative Decision Support System using Psychophysiological Data
Designed and developed a machine learning based decision support system to classify Autism Spectrum Disorder using Electroencephalography (EEG) and facial thermographic data indicating the severity range of the disorder.