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Alvaro Cabrejas Egea


I am a PhD Student in the MathSys CDT. I am currently based in the Alan Turing Institute in the British Library (London). Normally, I can be found in the first floor.

My PhD project is centred around traffic modelling, prediction and control, using a variety of tools to create novel applications of machine learning and time series analysis. Currently I make myself busy trying to put little brains inside traffic lights and teaching them to optimise vehicular and pedestrian flow using Reinforcement Learning.

Recent and Current Projects

Publications

  • Assessment of Vehicular Reward functions for Reinforcement Learning Traffic Signal Control under Real-World limitations, A. Cabrejas Egea, S. Howell, M. Knutis, C. Connaughton. Accepted to 2020 IEEE International Conference on Systems, Man, and Cybernetics. Pre-print: https://arxiv.org/abs/2008.11634
  • Assessment of Multi-Objective Reward functions for Reinforcement Learning Traffic Signal Control under Real-World limitations, A. Cabrejas Egea, C. Connaughton. Undergoing peer review.
  • Wavelet Augmented Regression Profiling (WARP): improved long-term estimation of travel time series with recurrent congestion. A. Cabrejas Egea, C. Connaughton. In 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC2020), Pre-print: https://arxiv.org/abs/2006.13072.
  • Design choices for productive, secure, data-intensive research at scale in the cloud. A. Cabrejas Egea et al. (no specific order), Aug 2019 https://arxiv.org/abs/1908.08737
  • Mitigation of Operational Risks in Banking with Machine Learning. Alan Turing Institute. Jan 2019.
  • Estimating Baseline Travel Times for the UK Strategic Road Network, A. Cabrejas Egea, P. de Ford Gonzalez, C. Connaughton. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC), pp. 531-536. IEEE, 2018. https://ieeexplore.ieee.org/document/8569924
  • Comparison in Management of Isolated Complex Traffic Intersections with different Reinforcement Learning approaches, A. Cabrejas Egea, R. Zhang, N.Walton. [Report Written, paper in preparation, Exp. Q3 2020]
  • Discount Factor and Temporal Timescales in Reinforcement Learning for Urban Traffic Control, A. Cabrejas Egea, C. Connaughton [Writing up, Exp. Q3 2020]
  • Minimizing Pollution and Emissions in Urban Traffic Control. Siemens and Alan Turing Institute. [Pending publication]

Previous Projects

  • Robotics projects designing and building electromechanical systems and implementing their Control Systems.
  • Different projects in Aerospace Engineering mostly centered on the Primary Structure of Airbus A350 & A380.

Undergraduate Teaching

Graduate Teaching

Education and experience

  • 2007-2012 BSc Aerospace Engineering: Specialisation in Aircrafts - Universidad Politecnica de Madrid
  • 2012-2015 Professional Experience in Aerospace Sector (see LinkedIn)
  • 2015-2016 MSc Mathematics for Real-World Systems - University of Warwick
  • 2017-2018 PhD Mathematics for Real World Systems - University of Warwick
  • 2018-2019 Enrichment Year PhD Student - Alan Turing Institute (London)
  • 2019-2020 PhD MathSys at University of Warwick & Science Liaison at Alan Turing Institute

Hobbies

In my spare time I enjoy swimming, reading, playing basketball, tabletop, grand strategy games and travelling.

myface

Research Interests

  • Machine Learning and Reinforcement Learning
  • Optimisation, Control and Operations Research
  • Swarm Dynamics and Collective Behaviour
  • Economic and Agents-Based Games in Networks

Contact

a.cabrejas-egea [AT] warwick.ac.uk

acabrejasegea [AT] turing.ac.uk

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