Project and Risk Management

This conference stream invites prospective authors to submit abstracts and presentations, either theory-or practice-oriented, that detail recent research results in one of the two following critical areas:

  • modelling project management processes and their impact on project outputs
  • project risk and uncertainty modelling and quantification.

The use of quantitative methods for project and risk management, including but not limited to artificial neural networks, fuzzy logic, Bayesian theory, system dynamics, discrete event simulation, agent-based modelling and hybrid modelling, is highly encouraged. Qualitative research that describes new theories and definitions for project and risk management is also welcomed. Prospective authors are encouraged to contact us directly if they require further guidance on the suitability of their proposed topic: [email protected]; [email protected]  



Abroon Qazi, PhD, American University of Sharjah


M.K.S. Al-Mhdawi, PhD, Teesside University