Tabassom Sedighi

Tabassom Sedighi serves as a Research Fellow and Senior Data Analyst at Anglia Ruskin University's International Policing and Public Protection Research Institute within the Faculty of Arts, Humanities, Education and Social Sciences. Her expertise bridges control engineering and Bayesian modeling for decision-making systems, with applications spanning environmental risk assessment and public health policy.

Her academic foundation includes a PhD in Complex Systems Modelling by Use of Machine Learning from Cranfield University, an MSc in Control Engineering from Coventry University, and a BSc in Physics from Shahid Chamran University of Ahvaz, Iran. These qualifications underpin her interdisciplinary methodology.

Dr. Sedighi's research integrates Bayesian networks, spatial-temporal data analysis, and machine learning to address sustainability challenges. Key focus areas include flood-loss estimation, biostatistics, uncertainty quantification, and fault detection systems. Her work demonstrates consistent innovation in converting complex statistical techniques into practical risk analysis frameworks for environmental and public health contexts.

Recent publications reveal a cohesive trajectory applying Bayesian inference to real-world crises—from flood-related mental health economics to bovine tuberculosis eradication—showcasing methodological rigor in policy evaluation and risk factor modeling. This interdisciplinary approach consistently links statistical innovation with societal impact.

As an active supervisor of PhD and MSc students, she mentors next-generation researchers in machine learning applications. Her institutional engagement extends through the International Policing and Public Protection Research Institute, where she contributes to cross-sectoral projects addressing societal vulnerabilities through data-driven solutions.