Matin Pirouz is an instructor and a doctoral candidate in the Department of Computer Science, College of Engineering, University of Nevada, Las Vegas (UNLV). Her current research work is in big data analytics, deep learning, network analysis, and graph theory. She received a B.S. in Computer Science and a M.S. degree in Information Technologies from European Regional Educational Academy (EREA) in 2012 and 2014 respectively. Her M.S. research area was in network programming and security. Prior to joining the Ph.D. program, she was an instructor at Cisco Networking Academy for about four years where she taught various entry, associate, and professional-level courses. In March 2013, Mrs. Pirouz Nia successfully passed the Instructor Trainer Qualification and has been holding instructor-level courses since then. During her time at Cisco Networking Academy, she was presented with several national and regional awards and she taught a few dozen instructors and over a hundred students. She is currently a researcher in Big Data Hub – ILAB at UNLV where she is conducting research on graph theory, particularly Personalized Page Ranks on weighted graphs and network analysis. Her current certifications include Cisco Certified Network Associate Routing &Switching, Cisco Certified Design Associate, and CompTIA Project+. As part of her Master’s dissertation, she developed a Linux-based program for UCom, one of the top ISPs of Armenia. The software was written on Tool Command Language (TCL) and AWK Languages and was a secure interface that monitored customers’ network quality on predefined intervals.