Available to supervise Higher Degree by Research students

20022018
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Personal profile

Research interests

Dr. Mohammadian’s research interests lie in intelligent information systems, adaptive self-learning systems, fuzzy logic, genetic algorithms, neural networks and their applications in industrial, financial and business problems, which involve real time data processing, planning and decision-making. His current research also concentrates on the application of computational intelligence techniques for learning and adaptation of intelligent agents and web-based information filtering and data-mining.

His research interests are in the following areas:

Intelligent Decision-Making

Data Mining

Information Technology Management

Neural Networks

Fuzzy Logic

Evolutionary Computing

Adaptive and Optimal Control

Hybrid Systems for Optimisation

Data Analysis, Prediction and Model Identification

Parallel Computing applications in Identification & Control

Decision Making and Information Retrieval

Computational Intelligence and Telecommunications

Robot Dynamics and Control

Autonomous Robots

Intelligent Agents and Multi-Agent Systems

Web Semantics

Intelligent Knowledge Management Systems

Intelligent Business Agents

Adaptation and learning for agents

Agents and e-commerce

Web data mining and information retrieval

Business Reengineering Issues for Electronic Commerce

Requirements Engineering Approaches for Electronic Commerce

Modelling, Classification and Prediction

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Fuzzy logic Engineering & Materials Science
Intelligent agents Engineering & Materials Science
Decision making Engineering & Materials Science
Risk analysis Engineering & Materials Science
Artificial intelligence Engineering & Materials Science
Fuzzy rules Engineering & Materials Science
Genetic algorithms Engineering & Materials Science
Software testing Engineering & Materials Science

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Research Output 2002 2018

An intelligent and secure framework for wireless information technology in healthcare for user and data classification in hospitals

Mohammadian, M., Hatzinakos, D., Spachos, P. & Jentzsh, R., 2018, Consumer-Driven Technologies in Healthcare: Breakthroughs in Research and Practice. Khosrow-Pour, M. (ed.). IGI Global, p. 248-276 29 p.

Research output: A Conference proceeding or a Chapter in BookChapter

Wireless Technology
Delivery of Health Care
Privacy
Radio Frequency Identification Device
Computer Security

Network Security Risk Assessment Using Intelligent Agents

Mohammadian, M., 27 Aug 2018, International Symposium on Agents, Multi-Agent Systems and Robotics 2018, ISAMSR 2018. Putraya, Malaysia: IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p. 8540557

Research output: A Conference proceeding or a Chapter in BookConference contribution

Intelligent agents
Network Security
Network security
Intelligent Agents
Risk Assessment

A hierarchical fuzzy logic systems frame work for data security

MOHAMMADIAN, M. & Hatzinakos, D., 2017, In : International Journal of Information Technology . p. 1-11

Research output: Contribution to journalArticle

Security of data
Fuzzy logic
Data privacy
Access control
Industry

Computational Intelligence for Risk Analysis in Software Testing

MOHAMMADIAN, M., 20 Sep 2017, 2017 6th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2017. Shukla, B., Khatri, S. K. & Kapur, P. K. (eds.). Noida, India : IEEE, Institute of Electrical and Electronics Engineers, Vol. 2018-January. p. 66-69 4 p. (2017 6th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2017; vol. 2018-January).

Research output: A Conference proceeding or a Chapter in BookConference contribution

Software testing
Risk analysis
Artificial intelligence
Managers
Software engineering

Innovative Hierarchical Fuzzy Logic for Modelling Using Evolutionary Algorithms

MOHAMMADIAN, M. & Stonier, R., 2017, Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications . I. R. M. A. (ed.). USA: IGI Global, p. 770-798 28 p. (Nature-Inspired Computing).

Research output: A Conference proceeding or a Chapter in BookChapter

Evolutionary algorithms
Fuzzy logic
Fuzzy rules
Decomposition
Optimal control systems