Quamar Niyaz, Ph.D.

Assistant Professor, Electrical and Computer Engineering

Quamar Niyaz

Introduction

Dr. Quamar Niyaz is an Assistant Professor in the Department of Electrical and Computer Engineering. His teaching and research focus on computer networks, cybersecurity, and big data.

Research Overview

Dr. Niyaz’s research focus in network security, computer networks, applied machine learning, and cybersecurity education. He has developed intelligent intrusion detection systems, educational testbeds for cybersecurity education, and malware detection systems for smartphones.

Select Publications

F. Jahan, W. Sun, Q. Niyaz, and M. Alam. “Security Modeling of Autonomous Systems: A Survey.” ACM Computing Surveys (CSUR) 52, no. 5 (2019): 1-34.

G. Castro, U. Morales, X. Long, Q. Niyaz, X. Yang, and A. Javaid. “An Introductory Visualization Aid for Cybersecurity Education.” In Proceedings of the International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS), pp. 10-15. , 2019.

F. Vaca, and Q. Niyaz. “An ensemble learning based Wi-Fi network intrusion detection system (WNIDS).” In 2018 IEEE 17th International Symposium on Network Computing and Applications (NCA), pp. 1-5. IEEE, 2018.

Teaching Focus

At Purdue University Northwest, Dr. Niyaz teaches courses in C++ and Matlab programming; software engineering; computer organization and design; computer networks; security; and big data.

Why I became an engineer…

I pursued engineering because I was fascinated with the positive impact that the computers, Internet, and other technologies were having on the social and economic development of countries around the world.

What engineers can do to make a difference…

Engineers play vital roles in the various fields of this technology-assisted modern world such as communication, transportation, manufacturing, health-care, education. They have improved several disciplines through inter-disciplinary collaboration. In my opinion, engineers should work on the development of technologies that can improve people’s lives in underdeveloped nations.

Quamar Niyaz

Contact

(219) 989-2685

qniyaz@pnw.edu

Office Location:

Hammond Campus, POTT 225

Education

  • Ph.D. – Computer Science & Engineering, The University of Toledo (Ohio)
  • M.S. – Computer Science & Engineering, Aligarh Muslim University, Aligarh (India)
  • B.S. – Computer Engineering, Aligarh Muslim University, Aligarh (India)

Areas of Expertise

  • Computer & Network Security
  • Computer Networks
  • Applied Machine Learning .
  • Cybersecurity Education
  • Big Data