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Dr Zaid Chalabi
Dr Zaid Chalabi profile picture
  • Honorary Associate Professor
  • Bartlett School Env, Energy & Resources
  • Faculty of the Built Environment
I am a mathematical modeller. I have been involved in mathematical modelling in most of my career applying it to diverse scientific disciplines including human physiology, agricultural meteorology, environmental sciences, medicine, public health and environmental health. I have spent almost all of my career in research and academia. I worked mostly for the Biotechnology and Biological Sciences Research Council (BBSRC) and the London School of Hygiene and Tropical Medicine (LSHTM). I have had several past associations with UCL including a period at the Centre for Nonlinear Dynamics and its Applications (at the time, part of the Department of Civil Engineering) and a sabbatical at the Department of Mathematics. I also had research collaboration with the Department of Chemical Engineering whilst working for the BBSRC. I formally retired on 31 October 2018 and since then I have been based at the UCL Institute for Environmental Design and Engineering (IEDE), Bartlett School of Environment, Energy and Resources (BSEER). 
Research Summary
I have strong interest and wide experience in many mathematical modelling methods spanning deterministic, stochastic and fuzzy methods. I am also interested in complexity science methods systems such as agent-based modelling and system dynamics modelling. I have also wide interest in numerous areas of applied mathematics and operations research (OR) allied to mathematical modelling including risk analysis, uncertainty analysis, value of information analysis, decision analysis, extreme value analysis, optimization and optimal control, signal analysis and nonlinear time series analysis. My current application areas of interest are modelling the health impacts of the environment and climate change. My current methodological areas of interest are quantifying the uncertainty in complex mechanistic environmental health models,social welfare evaluation and operationalising intergenerational equity in relation to sustainability and climate change.
Teaching Summary
I have developed and delivered a new optional module (BENV0108) for the Smart Buildings and Digital Engineering MSc on “Mathematical modelling methods for the built environment”.  I strongly believe that it is important to equip the MSc and PhD students at IEDE and BSEER with the necessary mathematical knowledge which underpins many of the software modelling tools that they use. In the module, I teach mathematical methods in three specific areas: optimization and optimal control, uncertainty analysis and decision analysis. I also teach basics topics in applied mathematics relevant to modelling such as approximation theory, differential equations, probability theory and matrix algebra. 
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