Dr Afzal Siddiqui

Position Senior Lecturer
Phone (external) +44(0)20 7679 1871
Phone (internal) 41871
Email(*) afzal.siddiqui
Personal webpage http://www.homepages.ucl.ac.uk/~ucakasi/
Themes General Theory and Methodology, Stochastic Modelling and Time Series

* @ucl.ac.uk 

Biographical Details

Afzal Siddiqui

Afzal Siddiqui is a Senior Lecturer in the Department of Statistical Science. Previously, he was a Lecturer in Statistics at UCL (2005-2010) and a College Lecturer in the Department of Banking and Finance at University College Dublin. After having completed his Ph.D. in Industrial Engineering and Operations Research from the University of California at Berkeley in 2002, Afzal served as a Visiting Assistant Professor in the Department of Industrial Engineering and Operations Research at UC Berkeley (2002) and a Visiting Post-doctoral Researcher at the Ernest Orlando Lawrence Berkeley National Laboratory (2002-2003). In addition, he is a Professor (20% time) at the Department of Computer and Systems Sciences of Stockholm University and a Visiting Professor at the Systems Analysis Laboratory of Aalto University.

Research Interests

Afzal's research interests are in energy economics, specifically the application of financial and operational research methods for making decisions under uncertainty and competition. Indeed, the deregulation of electricity industries worldwide means that policymakers must anticipate the behaviour of market participants when setting targets for sustainability. Thus, it is desirable to use tools such as complementarity modelling, real options, and stochastic programming to analyse investment in and operation of renewable energy technologies. The objective of Afzal's work is to gain insights that will assist producers and consumers to make more informed decisions, e.g., about technology choice and risk management, and to provide policy guidance when designing market mechanisms. Previously, he was involved with the ELDEV project in Trondheim, Norway, which sought to foster closer cooperation between industry and academia, namely in the area of improved business practices for the electric power industry. He has also contributed to the development of a deterministic optimisation tool, DER-CAM, that solves a microgrid's DG investment and operational problem in detail. Recently concluded work involved a Natural Environment Research Council project on the application of real options in energy-sector decarbonisation as well as coordination of an EU FP7 project, EnRiMa, which used stochastic optimisation in order to improve energy efficiency and manage risk in European public buildings. 

Current and Former Research Students

Selected Publications

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