Dr Amanda Whitbrook

Amanda Whitbrook

Position: Senior Lecturer in Computer Science

College: College of Engineering and Technology

Department: Computing and Mathematics

Subject area: Computing

Research Centre: Distributed and Intelligent Systems Centre for Research and Technology Transfer

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About

Senior Lecturer in Computer Science in the Dept. Electronics, Computing and Mathematics, College of Engineering and Technology

Teaching responsibilities

I am currently teaching on the following modules:

Autumn Semester:

  • Game Behaviour (AI) 6CC529 - Module Leader
  • Introduction to Computer Science 4CC509 - Module Leader

Spring Semester:

  • Software Engineering 5CC516 - Module Leader
  • Foundations of Computer Science (UID) 4CC505 - Module Leader

Through:

  • Independent Studies - Supervisor to fifteen final year dissertation students
  • Applied Professional Practice - Visiting tutor to two placement students
  • Contemporary Issues in Professional Practice - Visiting tutor to two placement students

 I am also Director of Studies for three PhD students, and second-supervisor for one PhD student

Research interests

My research interests are generally in the field of Artificial Intelligence; Bio-inspired Computing, Mobile Robotics, Artificial Immune Systems, Idiotypic Networks, Task Allocation for Multi-Agent Systems, Artificial Evolution, Machine Learning, Autonomous Systems.

Membership of professional bodies

  • Associate Member of the IEEE Robotics and Automation Society
  • Fellow of the Higher Education Academy (FHEA)
  • Member of the British Computer Society (MBCS)

Qualifications

BSc (Hons) Mathematics and Physics (First Class), Nottingham Trent University, 1993

MSc Management of Information Technology (Distinction), University of Nottingham, 2005

PhD Applied Mathematics, Nottingham Trent University, 1998

PG Cert HE, University of Derby, 2017

Recent publications

Journal Papers

  •  Joanna Turner, Qinggang Meng, Gerald Schaeffer, Amanda Whitbrook, Andrea Soltoggio, 2017. “Distributed Task Rescheduling With Time Constraints for the Optimization of Total Task Allocations in a Multirobot System". IEEE Transactions on Cybernetics, September 2017. DOI: 10.1109/TCYB.2017.2743164
  • Amanda Whitbrook, Qinggang Meng, Paul W. H. Chung, 2017. “Reliable, Distributed Scheduling and Rescheduling for Time-Critical, Multi-Agent Systems”. IEEE Transactions on Automation Science and Engineering, April 2017. DOI: 10.1109/TASE.2017.2679278
  • Graziella P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin, Amanda Whitbrook, Jonathan M. Garibaldi, 2015, “Juxtaposition of System Dynamics and Agent-based Simulation for a Case Study in Immunosenescence”, PLoS ONE, 10, (3): e0118359. DOI:10.1371/journal.pone.0118359
  • Qi Chen, Amanda Whitbrook, Uwe Aickelin, Chris Roadknight, 2014. “Data Classification using the Dempster-Shafer Method”, Journal of Experimental & Theoretical Artificial Intelligence, DOI:10.1080/0952813X.2014.886301
  • Stefan Rennick Egglestone, Amanda Whitbrook, Julie Greensmith, Brendan Walker, Steve Benford, Joe Marshall, David Kirk, Holger Schnädelbach, Ainoje Irune, Duncan Rowland, 2010. "Recommending Rides: Psychometric Profiling in the Theme Park". ACM Computers in Entertainment, 8 (3), Article 21.
  • Amanda Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi, 2010. "Real-world Transfer of Evolved Artificial Immune System Behaviours between Small and Large Scale Robotic Platforms". Evolutionary Intelligence, 3(3), pp. 123-136.
  • Amanda Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi, 2010. "Two-Timescale Learning Using Idiotypic Behaviour Mediation for a Navigating Mobile Robot". Journal of Applied Soft Computing, 10, pp. 876-887.
  • Jamie Twycross, Uwe Aickelin, Amanda Whitbrook, 2010. "Detecting Anomalous Process Behaviour using Second Generation Artificial Immune Systems". International Journal of Unconventional Computing, 6 (3-4), pp. 301-326.
  • Amanda Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi, 2009. "The Use of Probabilistic Systems to Mimic the Behaviour of Idiotypic AIS Robot Controllers". Journal of Systemics, Cybernetics and Informatics, 7 (6), pp. 72-79.
  • Amanda Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi, 2007. "Idiotypic Immune Networks in Mobile Robot Control". IEEE Transactions on Systems, Man and Cybernetics, Part B – Cybernetics, 37 (6), pp. 1581-1598.

 

Conference Papers

  • Jordan Rowe, Amanda Whitbrook, Minsi Chen, 2017. "A Cloud-Based Path-finding Framework: Improving the Performance of Real-Time Navigation in Games". In Proceedings of the 10th International Conference on Utility and Cloud Computing (UCC 17), Austin, Texas, USA. DOI: 10.1145/3147234.3148097.
  • Amanda Whitbrook, Qinggang Meng, Paul W. H. Chung, 2017. “A Robust, Distributed Task Allocation Algorithm for Time-Critical, Multi Agent Systems Operating in Uncertain Environments”. In Proceedings of the 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2017), Arras, France, pp.55-64
  • Amanda Whitbrook, Qinggang Meng, Paul W. H. Chung, 2015. “A Novel Distributed Scheduling Algorithm for Time-Critical, Multi-Agent Systems”. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), Hamburg, Germany, pp.6451-6458
  • Amanda Whitbrook, Gabriel Gainham, Wen-Hua Chen, 2012. "An Idiotypic Network Approach to Task Allocation in the Multi-Robot Domain". In Proceedings of the 4th International Conference on Agents and Artificial Intelligence (ICAART 2012), Vilamoura, Algarve, Portugal, pp.5-14.
  • Stefan Rennick Egglestone, Amanda Whitbrook, Caroline Leygue, Julie Greensmith, Brendan Walker, Steve Benford, Holger Schnädelbach, Stuart Reeves, Joe Marshall, Abigail Durrant, David Kirk, Paul Tennent, Ainojie Irune, Duncan Rowland, 2011. "User Modelling in the Theme Park: Psychometric Profiling and Physiological Monitoring". In Proceedings of the 19th User Modeling, Adaptation and Personalization Conference (UMAP 2011), Girona, Spain, pp.281-292.
  • Amanda Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi, 2010. "The Transfer of Evolved Artificial Immune System Behaviours between Small and Large Scale Robotic Platforms", In Proceedings of the 9th International Conference on Artificial Evolution (EA 09), LNCS 5975, Strasbourg, France, pp. 122-133.
  • Amanda Whitbrook, Uwe Aickelin, Jonathan Garibaldi, 2009. "Mimicking the Behaviour of Idiotypic AIS Robot Controllers Using Probabilistic Systems". In Proceedings of the 13th World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI 2009), Orlando, Florida, USA, pp. 272-278.
  • Grazziela P. Figueredo, Uwe Aickelin, Amanda Whitbrook, 2009. "System Dynamics Modelling of the Processes Involving the Maintenance of the Naive T Cell Repertoire". In Proceedings of the 9th Annual Workshop on Computational Intelligence (UKCI 2009), Nottingham, UK, pp. 13-18.
  • Amanda Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi, 2008. "Genetic Algorithm Seeding of Idiotypic Networks for Mobile-Robot Navigation". In Proceedings of the 5th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2008), Madeira, Portugal, pp. 5-13.
  • Amanda Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi, 2008. "An Idiotypic Immune Network as a Short-Term Learning Architecture for Mobile Robots". In Proceedings of the 7th International Conference on Artificial Immune Systems (ICARIS 2008), LNCS 5132, Phuket, Thailand, pp. 266-278.

 

 Book Chapters and Books

  • Val Lowdnes, Stuart Berry, Marcello Trovati, and Amanda Whitbrook, 2017. Guide to Computational Modelling for Decision Processes: Theory, Algorithms, Techniques and Applications, Chapter 1 (Model Building), Springer, pp. 3-53.
  • Julie Greensmith, Amanda Whitbrook, Uwe Aickelin, 2010. Handbook of Metaheuristics, Second Edition, Chapter 14 (Artificial Immune Systems), Springer, pp. 421-448.
  • Amanda Whitbrook, 2009. Programming Mobile Robots with Aria and Player: A Guide to C++ Object-Oriented Control, Springer-Verlag, London.

 

 Thesis

  • Amanda Whitbrook, 2005. "An Idiotypic Immune Network for Mobile Robot Control". MSc Thesis, School of Computer Science, University of Nottingham.
  • Amanda Whitbrook, 1998. "The Efficient Numerical Solution of Differential/Algebraic Boundary Value Problems Arising in Detonation Modelling". PhD Thesis, Department of Mathematics, Statistics and Operational Research, Nottingham Trent University.

Recent conferences

  • IROS 2015, Hamburg, Germany - "A Novel Distributed Scheduling Algorithm for Time-critical Multi-agent Systems"
  • IEA/AIE 2017, Arras, France - "A Robust, Distributed Task Allocation Algorithm for Time-Critical, Multi Agent Systems Operating in Uncertain Environment"
  • UCC 2017, Austin, Texas, USA - "A Cloud-Based Path-finding Framework: Improving the Performance of Real-Time Navigation in Games"

Experience in industry

Energy Modelling Analyst, Energy Technologies Institute, July 2012 - May 2014

Senior Scientist, BAE Systems, November 2009 - December 2011

Projects Performance and Systems Manager, Nottinghamshire Wildlife Trust, October 2000 - September 2004

Analyst and Programmer, Deux Ltd., December 1997 - October 2000

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