Current research topics include: (MORE DETAILS)

• Automated parallelization of distributed neural network training on embedded devices with a focus on decreasing programming effort and increasing usability.
• “Anomaly Detection from Kepler Satellite Time-Series Data” using traditional algorithms and recurrent neural network on MATLAB software. (Presented at MLDM 2017 conference)
• 2D wave simulation using OpenMP, MPI, and C++ with computation prioritization and boundary communication overlap achieved 96% parallel speedup efficiency.​