network science; social networks; sociology; complex systems; ecological psychology; cognitive science; perception and action

Agent Based Modeling (ABM), Agent Based Social System (ABSS), Multi-Agent Systems (MAS), Bayesian learning, Social networks Analysis (SNA), Socio ecological Dynamics.

Muaz is a Senior Member of the IEEE and has more than 15 years of professional, teaching and research experience. Muaz has been working on Communication Systems and Networks since 1995. His BS project in 1995 was on the development of a Cordless Local Area Network. In 1996, his postgraduate project was on Wireless Connectivity of devices to Computers. In addition to his expertise as an Communications engineer, his areas of research interest are in the development of agent-based and complex network-based models of Complex Adaptive Systems. He has worked on diverse case studies ranging from Complex Communication Networks, Biological Networks, Social Networks, Ecological system modeling, Research and Scientometric modeling and simulation etc. He has also worked on designing and developing embedded systems, distributed computing, multiagent and service-oriented architectures.

agent-based models, social networks, python, R, NetLogo

Co-evolutionary dynamics of social-ecological systems
social-ecological systems modeling

Networks Theory, Applied Microeconomics, Industrial Organization and Social Interactions.

1. Dynamics of socio-ecological resource use systems
   • Pasture use in dryland grazing systems under change, effects of new technologies and policy instruments, emergence of polarization between pastoralists (e.g. in terms of livestock numbers).
   • Thresholds of disaster management performance under change, loss of manpower, the role of information as critical resource.
2. Human decision making in agent-based models.
3. Remote sensing and GIS.

Ecological modelling
Social Ecnomic/ecological complexity