Projects per year
Personal profile
Research Interests
Currently exploring ML & NLP Applications for Human Reliability
Interested in AI in Design, AI Safety, and Human-AI Collaboration
Personal Statement
I am passionately driven by problem-solving and research, leveraging my creative mindset to craft data-driven solutions. With a solid background in Mathematics, Artificial Intelligence, and Natural Language Processing, I am dedicated to pushing the boundaries of these fields. My work in Human Reliability Analysis underscores my commitment to ensuring safety and reliability in technological applications. Motivated by the challenge of integrating innovative AI and NLP techniques while prioritizing ethical considerations, I aspire to contribute meaningfully to the advancement of these domains and shape the future of technology.
Keywords
- Artificial Intelligence
- Machine Learning
- Natural Language Processing
- Human Reliability Analysis
- Human-AI Collaboration
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Projects
- 1 Finished
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Doctoral Training Partnership 2020-2021 University of Strathclyde | Johnson, Karl
Patelli, E. (Principal Investigator), Walls, L. (Co-investigator) & Johnson, K. (Research Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/10/20 → 1/07/24
Project: Research Studentship - Internally Allocated
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Natural language processing tool for identifying influencing factors in human reliability analysis and summarizing accident reports
Johnson, K., Patelli, E. & Morais, C., 10 Sept 2023, 33rd European Safety and Reliability Conference (ESREL 2023). Brito, M. P., Aven, T., Baraldi, P., Čepin, M. & Zio, E. (eds.). Singapore, 8 p. P294Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile23 Downloads (Pure) -
Identification of human errors and influencing factors: a machine learning approach
Morais, C., Yung, K. L., Johnson, K., Moura, R., Beer, M. & Patelli, E., 28 Feb 2022, In: Safety Science. 146, p. 105528 25 p., 105528.Research output: Contribution to journal › Article › peer-review
Open AccessFile31 Citations (Scopus)153 Downloads (Pure)