Laurence Hirsch

Laurence Hirsch is a Senior Lecturer in the Computing department at Sheffield Hallam University since 2009. His research focuses on evolutionary algorithms, text classification, fog computing, and crisis management. He has contributed to advancements in document clustering using genetic programming and developed decision support systems for cloud migration in SMEs. His work spans interdisciplinary areas including healthcare technology, transportation safety, and organized crime detection.

Key research interests include:

• Evolutionary search techniques for information retrieval
• Interpretable machine learning models
• Fog computing applications in surgical environments
• Social media analytics for disaster response
• Cloud adoption strategies for small businesses

Notable publications include groundbreaking work on evolved search query classifiers (2004–2021), fog computing in anaesthesia monitoring (2024), and crisis management systems leveraging crowdsourced data (2016–2017). His research bridges theoretical computer science with practical applications in healthcare, transportation, and public safety domains.

He has collaborated on multi-disciplinary projects involving SME cloud migration decision tools (CMDSSI system) and formal concept analysis for crime detection. His work emphasizes human-centric approaches to technology, including motorcycle safety perceptual countermeasures and argumentative learning tools.