Staff profile
Overview
https://apps.dur.ac.uk/biography/image/4066
| Affiliation | Telephone |
|---|---|
| Assistant Professor in the Department of Engineering |
Biography
Dr Nima Gerami-Seresht is an Assistant Professor of Sustainable and Resilient Infrastructure in the Department of Engineering. Dr Gerami-Seresht received his PhD in Construction Engineering and Management, Civil Engineering from The University of Alberta in Canada (2017).
Research
Dr Gerami-Seresh has a multi-disciplinary research portfolio. His theoretical research focuses on dynamic multi-agent systems, granular computing, and building information modelling (BIM). His applied research directions are geared toward digital construction, simulating construction processes, and sustainable and resilient urban infrastructure. In these applications, his research revolves around implementing dynamic multi-agent systems, artificial intelligence techniques (i.e., fuzzy computation, machine learning, and computer vision), and BIM to capture human behaviours in the built environment; and, consequently, to improve the sustainability and resilience of urban infrastructure.
In his current research, Dr Gerami-Seresht investigates potential solutions to improve the energy efficiency of smart buildings; and to enhance the disease-resilience of healthcare facilities.
Research interests
- Digital Construction
- Resilient Interconnected Infrastructure
- Sustainable Buil Environment
- Smart Assets and Cities
- Agent-Based Modelling
- Granular Computing
- Applied Artificial Intelligence
- Building Information Modelling
Publications
Conference Paper
- Fateminia, S., Gerami-Seresht, N., & Fayek, A. (2019). Evaluating risk response strategies on construction projects using a fuzzy rule-based system.
- Raoufi, M., Gerami-Seresht, N., & Fayek, A. R. (2016). Overview of fuzzy simulation techniques in construction engineering and management.
Journal Article
- Mahamedi, E., Wonders, M., Gerami Seresht, N., Woo, W. L., & Kassem, M. (2024). A reinforcing transfer learning approach to predict buildings energy performance. Construction Innovation: Information, Process, Management, 24(1), 242-255. https://doi.org/10.1108/ci-12-2022-0333
- Sadeghi, N., & Gerami-Seresht, N. (2023). Improving occupational safety in office spaces in the post-pandemic era. Sustainable Cities and Society, 98(November 2023), Article 104781. https://doi.org/10.1016/j.scs.2023.104781
- Mohamed, E., Gerami Seresht, N., & AbouRizk, S. (2023). Context-driven ontology-based risk identification for onshore wind farm projects: A domain-specific approach. Advanced Engineering Informatics, 56, 101962. https://doi.org/10.1016/j.aei.2023.101962
- Gerami-Seresht, N. (2022). Enhancing resilience in construction against infectious diseases using stochastic multi-agent approach. Automation in Construction, 140, https://doi.org/10.1016/j.autcon.2022.104315
- Gerami-Seresht, N., Lourenzutti, R., & Fayek, A. R. (2020). A fuzzy clustering algorithm for developing predictive models in construction applications. Applied Soft Computing, 96,
- Gerami-Seresht, N., & Fayek, A. R. (2020). Neuro-fuzzy system dynamics technique for modeling construction systems. Applied Soft Computing, 93,
- Gerami-Seresht, N., & Fayek, A. R. (2018). Dynamic modeling of multifactor construction productivity for equipment-intensive activities. Journal of Construction Engineering and Management, 144(9),
- Sadeghi, N., Fayek, A. R., & Gerami-Seresht, N. (2016). A fuzzy discrete event simulation framework for construction applications: Improving the simulation time advancement. Journal of Construction Engineering and Management, 142(12),
- Sadeghi, N., Fayek, A. R., & Gerami-Seresht, N. (2015). Queue performance measures in construction simulation models containing subjective uncertainty. Automation in Construction, 60, 1-11