265 citations · 666 across the 19 of their papers we have counts for
27 papers
Replication of Multi-agent Reinforcement Learning for the "Hide and Seek" Problem
Haider Kamal, Muaz A. Niazi, Hammad Afzal
Reinforcement learning generates policies based on reward functions and hyperparameters. Slight changes in these can significantly affect results. The lack of documentation and rep…
Personal vs. Know-How Contacts: Which Matter More in Wiki Elections?
Yousra Asim, Muaz A. Niazi, Basit Raza +1
The use of social media affects the real world as well. This study relies on specific social network measures to investigate the interactions between election participants and the…
Modeling the Multiple Sclerosis Brain Disease Using Agents: What Works and What Doesn't?
Ayesha Muqaddas, Muaz A. Niazi
The human brain is one of the most complex living structures in the known Universe. It consists of billions of neurons and synapses. Due to its intrinsic complexity, it can be a fo…
A Formal Specification Framework for Smart Grid Components
Waseem Akram, Muaz A. Niazi
Smart grid can be considered as the next step in the evolution of power systems. It comprises of different entities and objects ranging from smart appliances, smart meters, generat…
Evaluating Roles of Central Users in Online Communication Networks: A Case Study of #PanamaLeaks
Mohsin Adalat, Muaz A. Niazi
Social media has changed the ways of communication, where everyone is equipped with the power to express their opinions to others in online discussion platforms. Previously, a numb…
Towards Agent-Based Model Specification in Smart Grid: A Cognitive Agent-based Computing Approach
Waseem Akram, Muaz A. Niazi, Laszlo Barna Iantovics
A smart grid can be considered as a complex network where each node represents a generation unit or a consumer. Whereas links can be used to represent transmission lines. One way t…