Shobnom Roksana

Currently pursuing Master’s in Computer Science at the University of Texas, San Antonio, with strong communication skills developed from extensive job experience in a Software company and ability to work independently or as part of a team. My research aims to improve the efficiency of Optimistic Parallel Discrete Event Simulation using ML techniques

Research Interests

Parallel Discrete Event Simulation, Artificial Intelligence, Machine Learning and Deep Learning

Work Experience

Graduate Teaching Assistant, UTSA Jan 2022- Now
Senior Web Developer, MightyEgg Technologies June 2018 – December 2021

Education

Master of Science (MS) in Computer Science, The University of Texas at San Antonio, USA
Bachelor of Science (BSc) in Computer Science and Engineering, American International University, Bangladesh

Current Research

"Optimizing Efficiency of Optimistic Parallel Discrete Event Simulation with Deep Q-Networks" aims to improve the efficiency of Optimistic Parallel Discrete Event Simulation using DQN (Master’s thesis)