Muaz A. Niazi


Title Modeling & Analysis of Real World Complex Systems Using a Complex Networks Approach



Muaz A. Niazi is Chief Scientific Officer (Professor) at COMSATS Islamabad. With an undergraduate degree in Electrical Engineering, Dr. Niazi has an MS and a PhD in Computer Sciences from Boston University, MA, USA and the University of Stirling, Scotland, UK respectively in addition to postdoc from the Stirling’s COSIPRA Lab. Dr. Niazi’s areas of research interest are in the Modeling, Simulation and Engineering of Complex Adaptive Systems (CAS) using various techniques such as agent-based and complex network based approaches other than distributed pervasive/mobile application development. Dr. Niazi has published in many prestigious journals and conference proceedings besides several books. Dr. Niazi is the Founding Editor-in-Chief of SpringerOpen/Biomed Central’s Complex Adaptive Systems Modeling, an Open Access journal and IGI Global’s International Journal of Privacy and Health Information Management. He also serves as an Associate Editor for Wiley’s Transactions on Emerging Telecommunication Technologies. Dr. Niazi is an active member of the IEEE Consumer Electronics Society, IEEE Computational Intelligence Society and IEEE Robotics and Automation Society. He regularly organizes and participates in various capacities in conferences, workshops, special sessions and journal special issues around the globe. 

Dr. Niazi also serves as the founding Head of the COmplex Systems MOdeling, Simulation & Engineering (COSMOSE) Research group at COMSATS. He is a senior member of the IEEE and has been listed in the “Who’s Who around the World” and "Who's Who in Science and Engineering". Previously, he has also served as Director Research/ORIC at Bahria University, where he played an active role in laying the foundations of research practice in all University campuses.

Area of research: Complex Communication Networks such as Internet of Things, Online social networks, Wireless Sensor networks etc. Biological Networks Modeling and Simulation, Agent-based Computing