Masoud MOHAMMADIAN

Masoud MOHAMMADIAN is an Associate Professor in the Department of Information Systems at the University of Canberra. His research focuses on intelligent systems, computational intelligence, and their applications in industrial, financial, and business contexts. He specializes in areas such as neural networks, fuzzy logic, genetic algorithms, and adaptive control systems.

His research interests include Intelligent Decision-Making, Data Mining, Neural Networks, Fuzzy Logic, Evolutionary Computing, and Cybersecurity. He has contributed to projects like Adaptive Cyber Security for Defence & Critical Infrastructure SMEs and SugarMumma: A smartphone app for gestational diabetes management.

Dr. Mohammadian has delivered invited talks on topics like Multi-Agents Systems for Intelligent Control of Traffic Signals in Smart Cities and Computational Intelligence Techniques for Data Security and User Access Control. His work bridges theoretical advancements with practical applications in robotics, telecommunications, and e-commerce.

He has published over 176 research outputs, including articles on AI system development, ecological modeling, and neural dynamics. His contributions span conferences and journals, emphasizing interdisciplinary solutions for complex problems.