Welcome
to my university web page.
I am currently a postdoctoral research associate affiliated with both Statistical and Computer laboratories and Clare College, University of Cambridge. I apply statistical modelling to study transport traffic, communication and energy systems. In particular, I am currently studying (i) multipath communication protocols in mobile wireless ad-hoc networks and (ii) distributed energy storage systems with high penetration of renewables.
Broadly speaking, my principal research interests include stochastic modelling and statistical inference, as well as optimal experimental design problems; priority queueing systems with switchover times, polling systems; optimisation on graphs and networks; random matrix theory and its applications.
While I am currently looking into mathematics of energy and power network systems, I have recently been working on the TIME-EACM project, which explored how sensor networks and distributed systems can be used in order to improve transport traffic management and control. In particular, I was working on statistical modelling and analysis of sparse urban transport traffic data.
My previous research includes a PhD in Operational Research on `Switchover Time Modelling in Priority Queueing Systems' and a PhD in Statistics on `Inference and Experimental Design for Percolation and Random Graph Models'. In my MSc thesis I was interested in the spectral analysis of sample covariance matrices: specifically, the dissertation discussed computational aspects and numerical realisation of the Tracy-Widom distributions as well as the solution to Painleve II differential equation (with realisations in R/S-Plus).
As a College Research Associate at Clare College I provide supervisions in Part IA Maths B for Clare students. I also supervise Part IA Computer Science Tripos students of Robinson College in Probability Theory, Part IB Mathematical methods for Computer Science and Part II Computer Systems Modelling students from Clare/Emma/Girton/Selwyn/Sidney colleges group.
My CV is available here.
News & events
- Coming up:
Taking part in the "Low Voltage Demand Behaviour, Forecasting and Smart Control" Workshop, 7th November, Henley Business School, UK.
Attending Durham University's annual "Risk and Reliability Modelling of Energy Systems" day, 27 November 2012.
- Research: more on the TIME project I have recently been involved in.
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Previous talks:
Using velocity fields in evaluating urban traffic congestion via sparse public transport data and crowedsourced maps at Cambridge Statistics Initiative Special One-Day Meeting, Isaac Newton Institute for Mathematical Sciences, Cambridge, UK, 26 September 2011.
Bayesian Experimental Design for Percolation and other Random Graph Models at the Design and Analysis of Experiments Programme. Isaac Newton Institute for Mathematical Sciences, Cambridge, UK, July 2011.
Evaluating urban traffic congestion using OpenStreetMap and sparse public transport data at the 1st European State of the Map Conference on the OpenStreetMap project held 15th-17th July 2011 in Vienna, Austria.
Priority queueing systems with random switchover times and generalisations of the Kendall-Takacs equation at the Statistics and Operations Research Seminar in the School of Mathematical Sciences, University of Adelaide. Adelaide, Australia, June 2011.
Statistical Modelling and Analysis of Sparse Bus Probe Data in Urban Areas at the 13th International IEEE Conference on Intelligent Transportation Systems. Madeira, Portugal, September 2010.
Colleagues and collaborations
- Richard Gibbens (Computer Laboratory, Cambridge)
- Frank Kelly (Statistical Laboratory, Cambridge)
- Stan Zachary (Herriot-Watt University)
- Gavin Gibson (Heriot-Watt University)
- TIME project team (University of Cambridge)
- Gheorghe Mishkoy (Academy of Sciences of Moldova)
- Quick links
- Curriculum vitae
- Hermes webmail
- University Library