Part of the Computer Sciences Commons

Works by Quamar Niyaz in Computer Sciences

2022

Augmented Reality and Artificial Intelligence in industry: Trends, tools, and future challenges, Jeevan S. Devagiri, Sidike Paheding, Quamar Niyaz, Xiaoli Yang, Samantha Smith
Michigan Tech Publications

Work-in-Progress: Enabling Secure Programming in C++ & Java through Practice Oriented Modules, Kenneth Andrew Guernsey, Jacob Matthew Tietz, Quamar Niyaz, Xiaoli Yang, Ahmad Y. Javaid, Sidike Paheding
Michigan Tech Publications

Mini-projects based Cybersecurity Modules for an Operating System Course using xv6, Jansen Tan, Divya Ravindra, Quamar Niyaz, Xiaoli Yang, Ahmad Y. Javaid, Sidike Paheding
Michigan Tech Publications

A Secure Software Engineering Design Framework for Educational Purpose, Abel A.Reyes Angulo, Xiaoli Yang, Quamar Niyaz, Sidike Paheding, Ahmad Y. Javaid
Michigan Tech Publications

Deep-Learning-Incorporated Augmented Reality Application for Engineering Lab Training, John Estrada, Sidike Paheding, Xiaoli Yang, Quamar Niyaz
Michigan Tech Publications

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2020

Binary chemical reaction optimization based feature selection techniques for machine learning classification problems, P. C. Srinivasa Rao, A. J. Sravan Kumar, Quamar Niyaz, Paheding Sidike, Vijay K. Devabhaktuni
Michigan Tech Publications