Post Doc Research Fellow


Pillar / Cluster: Engineering Systems and Design


Mohammad is a postdoctoral research fellow in the Resilient Water Systems Group, Singapore University of Technology and Design (SUTD). He is currently conducting research on cyber security of water distribution systems (on the project “learning from network and process data to secure water distribution systems”). Mohammad received a PhD in Civil and Environmental Engineering from Nanyang Technological University (NTU), Singapore, in 2017. His PhD research was on a multidisciplinary subject, “online neuro-fuzzy models for real-time flood forecasting”. Followed by that, he spent 6 months to develop artificial intelligence (AI) algorithms in the Computational Intelligence Lab (CIL), School of Computer Science & Engineering (SCSE), NTU. He was also a postdoctoral research fellow for 2 years at NTU (from July 2017 to July 2019), focusing on data analytics and model development for the project “cloud enabled real-time water quality forecasting for Marina and Kranji Reservoirs”.


  • PhD in Civil and environmental engineering, Nanyang Technological University, Singapore, 2012-2017
    Thesis Title: Online neuro-fuzzy models for real-time flood forecasting
  • MSc in Hydrogeology, Shahid Beheshti University, Iran, 2005-2008
    Thesis Title: The ability of artificial neural networks (ANNs) to simulate contaminant distribution in Miandarband (Kermanshah) alluvial Aquifer
  • BSc in Geology, Isfahan University, Iran, 1998-2002

Research Interest

Security of cyber physical systems, data-driven modelling and artificial intelligence

Selected Publications

  • Ashrafi, M., Chua, L. H. C., and Quek, C., 2019, The applicability of Generic Self-Evolving Takagi-Sugeno-Kang neuro-fuzzy model in modeling rainfall–runoff and river routing: Hydrology Research, v. 50, no. 4, p. 991-1001.
  • Ashrafi, M., Chua, L. H. C., and Quek, C., Flow Forecasting Using a Soft Computing Technique, in Proceedings AOGS 2019, Singapore, 2019.
  • M. Ashrafi, L. H. C. Chua, C. Quek, and X. Qin, A fully-online Neuro-Fuzzy model for flow forecasting in basins with limited data, Journal of Hydrology, vol. 545, pp. 424-435, 2// 2017


  • Singapore International Graduate Award (SINGA), 2012-2016