Artificial Intelligence for Health, Safety and Environmental Risk Management

Artificial intelligence (AI) is strongly impacting the development of new software systems, particularly natural language processing, computer vision, signal processing, and deep learning-based reasoning used in process automation and various semi- and fully autonomous systems, where it is filling a gap not previously achievable by other traditional computational and mathematical approaches. AI is also being implemented in the decision support systems (e.g., control room). There is a significant scope for the application of the cutting-edge AI methods to improve HSE as well as risk management.

Artificial intelligence for health, safety and environmental risk management program has been developed to provide the industry with tailor-made software and hardware solutions as well as scientific guidance that will support achieving transformation in HSE, risk management and productivity optimization which new AI methods promise. To accomplish these goals the program looks at research questions throughout multiple cross-cutting areas, including:

  • Machine learning for human-systems interaction
  • Natural language processing for knowledge extraction, management, visualization and reporting
  • Complex systems applications in modern information, processing, and energy industries
  • Deep learning-based data reconstruction
  • Intelligent digital twins
  • AI-based systems risk analysis and deployment management

Program Leader

Dr Nikodem Rybak

Program Team

Professor Maureen Hassall

Professor Robin Burgess-Limerick

Adjunct Professor Mathew Hancock

Dr Sara Pazell (SMI Industry Fellow)

John Lee (PhD candidate)

Program Keywords

Artificial intelligence, machine learning, deep learning-based reasoning, computer vision, natural language processing, data visualisation, data reconstruction, HCI, HSE, digital twin, advance data analytics, big data.

Related available student projects

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