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Overview

Dr Nima Gerami-seresht

Assistant Professor


Affiliations
AffiliationRoom numberTelephone
Assistant Professor in the Department of EngineeringE327 (Floor 3.5 Christopherson) 

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, SH, Gerami-Seresht, Nima & Fayek, AR (2019), Evaluating risk response strategies on construction projects using a fuzzy rule-based system, 36th International Symposium on Automation and Robotics in Construction (ISARC 2019).
  • Raoufi, Mohammad, Gerami-Seresht, Nima & Fayek, Aminah Robinson (2016), Overview of fuzzy simulation techniques in construction engineering and management, 2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) IEEE. 1-6.

Journal Article

  • Gerami-Seresht, Nima (2022). Enhancing resilience in construction against infectious diseases using stochastic multi-agent approach. Automation in Construction 140: 104315.
  • Gerami-Seresht, Nima & Fayek, Aminah Robinson (2020). Neuro-fuzzy system dynamics technique for modeling construction systems. Applied Soft Computing 93: 106400.
  • Gerami-Seresht, Nima, Lourenzutti, Rodolfo & Fayek, Aminah Robinson (2020). A fuzzy clustering algorithm for developing predictive models in construction applications. Applied Soft Computing 96: 106679.
  • Gerami-Seresht, Nima & Fayek, Aminah Robinson (2018). Dynamic modeling of multifactor construction productivity for equipment-intensive activities. Journal of Construction Engineering and Management 144(9): 04018091.
  • Sadeghi, Naimeh, Fayek, Aminah Robinson & Gerami-Seresht, Nima (2016). A fuzzy discrete event simulation framework for construction applications: Improving the simulation time advancement. Journal of Construction Engineering and Management 142(12): 04016071.
  • Sadeghi, N, Fayek, A Robinson & Gerami-Seresht, N (2015). Queue performance measures in construction simulation models containing subjective uncertainty. Automation in Construction 60: 1-11.