Dr Syed Mohamad Sadiq Syed Musa

Dr Syed Mohamad Sadiq Syed Musa

  • Lecturer
Department of Actuarial Science and Risk
Google Scholar ORCID ResearchGate
SDGs Focus
Climate Action

Biography

Syed joined the School of Mathematical Sciences at Sunway University as a lecturer in February 2023. Syed received his PhD in the year 2022, with a focus on flood early warning systems using topological data analysis. Syed research interests include topological data analysis, early warning systems and extreme value theory. Prior to this, Syed tutored at the Faculty of Science and Technology and the Faculty of Engineering and Built Environment at the National University of Malaysia.

Academic & Professional Qualifications

  • PhD in Mathematics, National University of Malaysia, Malaysia (2022)
  • MSc in Mathematics, National University of Malaysia, Malaysia (2016)
  • BSc (Hons) Mathematics, University Science of Malaysia, Malaysia (2014)

Research Interests

  • Topological Data Analysis
  • Early Warning Systems
  • Extreme Value Theory

Notable Publications

  1. Musa, S.M.S.S., Noorani, M.S.M., Razak, F.A., Ismail, M. & Alias, M.A. 2019. Streamflow data analysis using persistent homology. AIP Conference Proceedings 2111(1): 020021.
  2. Musa, S.M.S.S., Noorani, M.S.M., Razak, F.A., Ismail, M., Alias, M.A. & Hussain, S.I. 2020. An early warning system for flood detection using critical slowing down. International Journal of Environmental Research and Public Health 17(17): 6131.
  3. Musa, S.M.S.S., Noorani, M.S.M., Razak, F.A., Ismail, M., Alias, M.A. & Hussain, S.I. 2021. Using persistent homology as preprocessing of early warning signals for critical transition in flood. Scientific Report 11: 7234.
  4. Musa, S.M.S.S., Noorani, M.S.M., Razak, F.A., Ismail, M. & Alias, M.A. 2022. Streamflow data analysis for flood detection using persistent homology. Sains Malaysiana 51(7)(2022): 2211-2222