Items where Author is "Gerami Seresht, Nima"

Article

Gerami Seresht, Nima (2022) Enhancing Resilience in Construction Against Infectious Diseases Using Stochastic Multi-Agent Approach. Automation in Construction, 140. p. 104315. ISSN 0926-5805

Mohamed, Emad, Gerami Seresht, Nima, Hague, Stephen, Chehouri, Adam and AbouRizk, Simaan M. (2022) Domain-specific risk assessment using integrated simulation: A case study of an onshore wind project. Canadian Journal of Civil Engineering, 49 (5). pp. 770-782. ISSN 0315-1468

Somi, Sahand, Gerami Seresht, Nima and Fayek, Aminah Robinson (2021) Developing a risk breakdown matrix for onshore wind farm projects using fuzzy case-based reasoning. Journal of Cleaner Production, 311. p. 127572. ISSN 0959-6526

Somi, Sahand, Gerami Seresht, Nima and Fayek, Aminah Robinson (2020) Framework for Risk Identification of Renewable Energy Projects Using Fuzzy Case-Based Reasoning. Sustainability, 12 (13). p. 5231. ISSN 2071-1050

Book Section

Flynn, Mark, RazaviAlavi, SeyedReza and Gerami Seresht, Nima (2021) Real-Time Analytics and Visualisation of Construction Safety Data Generated Through a Cloud-Based Application. In: Proceedings of Centre for the Integrated Delivery of the Built Environment (IDoBE) on Uncertainties in the Built Environment: How can we build a resilient future in the new normal? Centre for the Integrated Delivery of the Built Environment (IDoBE), London. (In Press)

Gerami Seresht, Nima and RazaviAlavi, SeyedReza (2021) A framework to model the spread of infectious diseases on construction sites using hybrid agent-based modelling and Monte Carlo simulation. In: Association of Researchers in Construction Management (ARCOM): Proceedings of the 37th annual conference. Association of Researchers in Construction Management (ARCOM), Leeds, pp. 106-115. ISBN 9780995546356

Bokor, Orsolya, Florez Perez, Laura, Pesce, Giovanni and Gerami Seresht, Nima (2021) Using Artificial Neural Networks to Model Bricklaying Productivity. In: 2021 European Conference on Computing in Construction. European Council on Computing in Construction (EC3), pp. 52-58. ISBN 9783907234549