High Performance Computing (HPC) and Its Application in Deep Learning Models

High Performance Computing (HPC) and its Utilization on Deep Learning Models

Speaker: Dr. Masroor Hussain
Associate Professor,
GIK Institute, Topi

Masroor Hussain is working as Associate Professor at GIK Institute, Topi. He had obtained his 1st professional degree (BS) in computer science from NUCES-FAST Lahore. After completing his BS he also pursued his MS degree program from the same institution with specialization in Artificial Intelligence. He obtained PhD degree from GIKI.

His area of interests includes adaptive meshing, data mining, data warehousing, finite element methods, neural networks and parallel computing. His major contributions for research are on ALE moving mesh scheme, handwriting analysis, mesh reordering and partitioning techniques, spatial temporal neural networks, and stabilized mixed finite element methods.

He also worked in industry as a software engineer. He spent two years in Neumed, where he developed the software for medical instruments. These instruments read the neuro-muscular movements of the human body and analyzed them. In particular, he worked with photoelectric Photoelectric Plethysmograph (PPG) and EMG singals. He also served the Comsats Institute, Lahore as a visiting faculty in Fall 2003. After successfully defending his MS thesis, he joined GIK Institute from June 2004 as Research Associate. Since May 2011 he has joined the Institute as an Assistant Professor.