Research Axes

1. Intelligent Dynamic Monitoring Systems: Developing advanced systems for real-time monitoring and management of industrial environments.
2. Innovative Dynamic Neural Networks: Introducing new neural network models to enhance predictive capabilities in safety systems.
3. Fuzzy Logic Applications: Utilizing fuzzy logic for its flexibility and powerful predictive dimensions in safety analysis.
4. Neuro-Fuzzy Network for Diagnosis: Creating a neuro-fuzzy network, derived from fault trees and AMDEC analysis, for both curative and predictive diagnosis.
5. Multi-Agent Safety Systems: Designing intelligent monitoring tools using multi-agent systems to enhance safety and prevention measures.
6. Bayesian Approaches in Security Analysis: Employing frequency probabilistic methods, like Bayesian approaches, for in-depth security analysis and making-decision.
7. Additional Research Elements:

• Improving Functional Safety: Through a deep understanding of manufacturing processes, machine limitations, and human-machine interactions, we aim to elevate the level of functional safety.
• Innovative Security Technologies: Integrating new security technologies and standards (like API, NFPA, and ISO) into our research to position safety as a critical system function.
• Risk Analysis and Minimization: Utilizing operational data and predictive analytics tools to measure and minimize operational risks continuously.