Hussein A. Abbass

Hussein A. Abbass is the director of the Artificial Life and Adaptive Robotics Laboratory at the School of Information Technology and Electrical Engineering at the Australian Defense Force Academy campus of the University of New South Wales. Dr. Abbass is a Senior Member of the IEEE and has more than 15 years experience in industry and academia and more than a hundred fully refereed papers in international journals and conferences. He teaches computational intelligence related subjects and his research focuses on multi-agent systems, data mining, and artificial life models with applications to defence, security and business.

Publications

International Journal of Artificial Intelligence and Machine Learning (IJAIML)
International Journal of Artificial Intelligence and Machine Learning (IJAIML)
Maki K. Habib. Est. 2019.
The International Journal of Artificial Intelligence and Machine Learning (IJAIML) provides a forum on the study of living systems intelligence, human level cognition and...
International Journal of Artificial Life Research (IJALR)
International Journal of Artificial Life Research (IJALR)
Maki K. Habib. Est. 2010.
The International Journal of Artificial Life Research (IJALR) provides a forum on the study of living systems, human level artificial systems, and machines that exhibit...
How Hard Is It To Red Team?
How Hard Is It To Red Team?
Ang Yang, Hussein A. Abbass, Ruhul Sarker. © 2008. 25 pages.
Red teaming is the process of studying a problem by anticipating adversary behaviors. When done in simulations, the behavior space is divided into two groups: one controlled by...
Walking with EMO: Multi-Objective Robotics for Evolving Two, Four, and Six-Legged Locomotion
Walking with EMO: Multi-Objective Robotics for Evolving Two, Four, and Six-Legged Locomotion
Jason Teo, Lynnie D. Neri, Minh H. Nguyen, Hussein A. Abbass. © 2008. 33 pages.
This chapter will demonstrate the various robotics applications that can be achieved using evolutionary multi-objective optimization (EMO) techniques. The main objective of this...
Applications of Information Systems to Homeland Security and Defense
Applications of Information Systems to Homeland Security and Defense
Hussein A. Abbass, Daryl Essam. © 2006. 272 pages.
A range of threats in the areas of safety and security, from natural disasters to terrorism to conventional warfare, involve complex interactions that are beyond the scope and...
All Hazards Analysis: A Complexity Perspective
All Hazards Analysis: A Complexity Perspective
Daryl Essam, Hussein A. Abbass. © 2006. 16 pages.
With the increase in the complexity of terrorism’s networks and activities, the advances in chemical and biological warfare, and the use of organized criminal activities, it is...
How Hard Is It To Red Team?
How Hard Is It To Red Team?
Ang Yang, Hussein A. Abbass, Ruhul Sarker. © 2006. 33 pages.
Red teaming is the process of studying a problem by anticipating adversary behaviors. When done in simulations, the behavior space is divided into two groups: one controlled by...
Simultaneous Evolution of Network Architectures and Connection Weights in Artificial Neural Networks
Simultaneous Evolution of Network Architectures and Connection Weights in Artificial Neural Networks
Ruhul A. Sarker, Hussein A. Abbass. © 2006. 15 pages.
Artificial Neural Networks (ANNs) have become popular among researchers and practitioners for modeling complex real-world problems. One of the latest research areas in this field...
Solving Two Multi-Objective Optimization Problems Using Evolutionary Algorithm
Solving Two Multi-Objective Optimization Problems Using Evolutionary Algorithm
Ruhul A. Sarker, Hussein A. Abbass, Charles S. Newton. © 2003. 16 pages.
Being capable of finding a set of pareto-optimal solutions in a single run is a necessary feature for multi-criteria decision making, Evolutionary algorithms (EAs) have attracted...
Data Mining: A Heuristic Approach
Data Mining: A Heuristic Approach
Hussein A. Abbass, Ruhul Sarker, Charles S. Newton. © 2002. 310 pages.
Real life problems are known to be messy, dynamic and multi-objective, and involve high levels of uncertainty and constraints. Because traditional problem-solving methods are no...
Heuristic and Optimization for Knowledge Discovery
Heuristic and Optimization for Knowledge Discovery
Hussein A. Abbass, Charles S. Newton, Ruhul Sarker. © 2002. 296 pages.
With the large amount of data stored by many organizations, capitalists have observed that this information is an intangible asset. Unfortunately, handling large databases is a...