# Dr. Luke Dickens

| Research Associate Machine Learning Group and Distributed Software Engineering (DSE) Section Department of Computing Imperial College London 180 Queen's Gate South Kensington campus London SW7 2AZ 02075948251 luke.dickens | at | imperial.ac.uk |

## Teaching 2012-13

- Introduction to Matlab, Autumn 2012. Notes Part 1 Labsheet 1 Notes Part 2 Labsheet 2 data.mat european_leaders.jpg segment_image.m
- Machine Learning and Neural Computation, Autumn 2012. The Course Website The archive of code for the 5th lab exercises. lab5.zip

## Publications

- Ian Molloy, Luke Dickens, Charles Morisset, Pau-Chen Cheng, Jorge Lobo, and Alessandra Russo, Risk-Based Security Decisions Under Uncertainty, 2nd ACM Conference on Data and Application Security and Privacy, CODASPY 2012.
- Luke Dickens, Ian Molloy, Jorge Lobo, Pau-Chen Cheng and Alessandra Russo, Learning Stochastic Models of Information Flow, 28th IEEE International Conference on Data Engineering, ICDE 2012.
- Ian Molloy, Jorge Lobo, Pau-Chen Cheng, Luke Dickens, Alessandra Russo and Charles Morisset, Risk-Based Access Control Decisions Under Uncertainty, Annual Conference of the International Technology Alliance, ACITA 2011.
- Luke Dickens, Krysia Broda and Alessandra Russo. The Dynamics of Multi-Agent Reinforcement Learning. 19th European Conference on Artificial Intelligence ECAI 2010. PDF
- Luke Dickens, Pau-Chen Cheng, Jorge Lobo, Alessandra Russo. Towards Learning Risk Estimation Functions for Access Control. (Abstract and Poster). In Snowbird Learning Workshop. April, 2010.
- I. Molloy, N. Li, J. Lobo, Y. (A.) Qi, and L. Dickens. Mining Roles with Noisy Data. Proceedings of the Fifteenth ACM Symposium on Access Control Models and Technologies (SACMAT'10), June, 2010.
- Luke Dickens. Learning to Act Stochastically. PhD Thesis. April, 2010. PDF Ph.D Thesis,
- Luke Dickens. Perpetual Learning for Multiple Non-Cooperative Agents. (Abstract and Poster). In Proceedings Twenty-Third AAAI Conference on Artificial Intelligence. July, 2008.
- Luke Dickens, Krysia Broda, and Alessandra Russo. Towards Reasoning about Multi-Agent Reinforcement Learning. In European Workshop for Reinforcement Learning. June, 2008.
- Luke Dickens, Krysia Broda, and Alessandra Russo. Modelling MAS as Finite Analytic Stochastic Processes. In Proceedings AISB Symposium on Behaviour Regulation in Multi-Agent Systems. January, 2008.
- S. McGough, A. Akram, D. Colling, L. Dickens, L. Guo, M. Krznaric, J. Martyniak, R. Powell, P. Kyberd, H. Chenxi, K. Constantinos, and T. Panayiotis. GRIDCC: A Real-time Grid workflow system with QoS. In Journal of Scientific Programming. December, 2007.
- S. McGough, A. Akram, D. Colling, L. Dickens, L. Guo, M. Krznaric, J. Martyniak, R. Powell, and P. Kyberd. GRIDCC: A Real-time Workflow System. In The 2nd Workshop on Workflows in Support of Large-Scale Science. June, 2007.
- D. J. Colling, L. W. Dickens, T. Ferrari, Y. Hassoun, C. A. Kotsokalis, M. Krznaric, J. Martyniak, A. S. Mcgough and E. Ronchieri. Adding Instruments and Workflow Support to Existing Grid Architectures. volume 3993 of Lecture Notes in Computer Science. 2006, pages 956-963.
- L. Dickens, T. Ferrari, and K. Constantinos. Grid-Enabled Remote Instrumentaion with Distributed Control and Computation. In EGEE Users Forum. March, 2006.

For other information about Machine Learning at Imperial College DoC please see http://www.doc.ic.ac.uk/research/machinelearning/DoC_Machine_Learning/ML.html/