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Mohammad Noorbakhsh

I am a PhD student at the Mathematics for Real-World Systems CDT, based in the Centre for Complexity Science. The purpose of my research is to improve the predictability of meteorological drought in Africa with time lead of 12 months using data-driven approaches. It is supervised by Professor Colm Connaughton and Dr Francisco A. Rodrigues.

Before joining Mathsys, I had been working in the financial services industry for several years.

My research interests are Machine Learning, Deep Learning, Time Series, and Causality applied in real-world problems such as climate and finance. their applications in other scientific fields.

Conferences/Events:
  • Aug. 2019: Cambridge Networks Day
  • Sept. 2019: Data Study Group - Project by STC -" Bandwidth allocation for mobile users: a solution for rural and urban areas" at the Alan Turing Institute, UK.
Education:
  • MSc Mathematics for Real-World Systems – University of Warwick, UK
    Thesis title: “Network analysis of African rainfall patterns”
  • MSc Data Science and Analytics – Royal Holloway University of London, UK
    Thesis title: “Machine Learning for Drug Discovery”
  • MSc Finance and Management - Cranfield University. UK
    Thesis title: “Stock returns, dividend yields, and volatility: Evidence from Hong Kong market”
  • BSc Computer Engineering - Sharif University of Technology, Iran

Contact:

m dot noorbakhsh at warwick dot ac dot uk





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