Modelling

Chemical Leak Management: Predictive Modelling Techniques using GIS

By Shahabuddin Amerudin Introduction In the intricate landscape of industrial operations, chemical leaks stand as critical challenges that require rapid and precise responses. The fusion of technology, data, and science has led to the emergence of advanced modeling techniques that enable accurate prediction of the distribution of hazardous chemicals during such incidents. This article delves deep into the methodology behind utilizing atmospheric dispersion models and Geographic Information Systems (GIS) to forecast the spread of dangerous substances during leaks. By unraveling this process, we illuminate the pivotal role that these techniques play in ensuring efficient response and mitigation strategies. Predictive Modeling: […]

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Published Paper 2022 in Springer Link

Agent-Based Model for Analyzing COVID-19 Infection in the Campus Using AnyLogic Software W. X. Gan & S. Amerudin  Conference paper First Online: 01 January 2022 Link: https://link.springer.com/chapter/10.1007/978-3-030-94191-8_42 Cite this paper Gan, W.X., Amerudin, S. (2022). Agent-Based Model for Analyzing COVID-19 Infection in the Campus Using AnyLogic Software. In: Ben Ahmed, M., Boudhir, A.A., Karaș, İ.R., Jain, V., Mellouli, S. (eds) Innovations in Smart Cities Applications Volume 5. SCA 2021. Lecture Notes in Networks and Systems, vol 393. Springer, Cham. https://doi.org/10.1007/978-3-030-94191-8_42

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