Emma Hart
Emma Hart

Prof Emma Hart

Professor

Biography

Prof. Hart gained a 1st Class Honours Degree in Chemistry from the University of Oxford, followed by an MSc in Artificial Intelligence from the University of Edinburgh. Her PhD, also from the University of Edinburgh, explored the use of immunology as an inspiration for computing, examining a range of techniques applied to optimisation and data classification problems. 

She moved to Edinburgh Napier University in 2000 as a lecturer, and was promoted to a Chair in 2008 where she leads a group in Nature-Inspired Intelligent Systems, specialising in optimisation and learning algorithms applied in domains that range from combinatorial optimisation to robotics. Her work mainly involves development of algorithms inspired by biological evolution to discover novel solutions to challenging problems.

She was appointed as Editor-in-Chief of Evolutionary Computation (MIT Press) in 2017. She has been invited to give keynotes at major international conferences including CLAIO 2020, IEEE CEC 2019, EURO 2016 and UKCI 2015 and was General Chair of PPSN 2016, and as a Track Chair at GECCO for several years. She is an elected member of the Executive Board of the ACM SIG on Evolutionary Computation.

More broadly, she invited member of the UK Operations Research Society Research Panel, and in Scotland, co-leads the Artificial Intelligence theme within SICSA. She was appointed as a panel member for REF2021 (UoA11 Computer Science). In 2020 she was appointed to the Steering Committee that developed Scotland's AI Strategy published in 2021 . She has a sustained track record of obtaining funding from the EU, EPSRC and of engaging with industry via KTP projects and consultancy, and participates enthusiastically in public-engagement activity, e.g Pint of Science.

Her work in evolutionary robotics has attracted significant media attention, e.g. in New Scientist, the Guardian, Telegraph and the Conversation. In 2021, she gave a TED Talk on Evolutionary Robotics, available online

News

Events

Esteem

Advisory panels and expert committees or witness

  • Scottish Government Steering Committee: AI Strategy
  • Royal Society’s International Networks Committee
  • Member of Royal Society delegation of UK scientists in UK-Russia Frontiers of Science Symposium (Kazan)
  • Appointed to the UK Operational Research Society Research Panel
  • Invited to co-lead SICSA Research Theme on Artificial Intelligence
  • Elected to the Executive Board of the ACM Special Interest Group SIGEVO
  • Invited to join the IEEE CIS Evolutionary Computation Technical Committee for 2012

 

Conference Organising Activity

  • Senior Program Committee Member AAAI-19
  • Track Chair: Complex Systems @ GECCO 2017
  • General Chair of PPSN 2016, Edinburgh
  • Chair of Workshop in Self-Organisation in Pervasive Adaptive Systems, at IEEE SASO 2010, Budapest. 28th September 2010
  • Track Chair: Artificial Immune Systems at GECCO 2014, an ACM SIGEVO Conference.
  • Track Chair: Artificial Immune Systems and Biological and Medical Applications, Genetic & Evolutionary Computation Conference, GECCO 2016
  • Track Chair. Real-World Applications of Optimisation at GECCO 2015 (ACM)
  • Workshop Chair: • ECAL 2013, 1st Workshop on Fundamentals of Collective Systems, Italy
  • Co-chair and organiser, Dagstuhl Seminar on Artificial Immune Systems, 2011
  • Workshop co-chair: Steering Complex Adaptive Systems, ECAL 2015: 12th International Conference on Artificial Life
  • Technical chair of IEEE Congress on Evolutionary Computing (CEC), 2009
  • Workshop co-chair: ALIFE 2016, 2nd Workshop on Steering Complex Systems (Cancun, Mexico)
  • Program Chair of the ninth IEEE International Conference on Self-Adaptive and Self- Organizing Systems (2015)
  • Workshop Chair: IEEE SASO, 2nd Workshop on Fundamentals of Collective Systems, London,
  • Workshop Chair: IEEE SASO 2011, 1st Workshop on Self-Awareness in Autonomic Computing USA
  • Workshop Chair, Real-World-Optimisation @ GECCO 2013
  • Workshop Chair: 2nd Awareness workshop at IIEEE SASO 2012 : Challenges for Achieving Self-awareness in Autonomic Systems
  • Technical Chair BioNETICS 2009, Avignon
  • General Chair: 9th International Conference on Artificial Immune Systems at Edinburgh Napier
  • Technical Chair of Bionetics 2011, York, UK

 

Editorial Activity

  • Guest Editor: Special Issue of J. Evolutionary Intelligence on Aspects of Artificial Immune Systems
  • Editor of the ACM SIGEVO newsletter
  • Associate Editor of the Journal of Evolutionary Computation (MITPress)
  • Guest Editor: Scalable Computing: Practice and Experience (Special Issue on Collective Adaptive Systems)
  • Guest Editor: Swarm Intelligence: (Special Issue on Artificial Immune Systems) 2010
  • Editorial Board: International Journal Metaheuristics
  • Editor-in-Chief of Evolutionary Computation (MIT Press)

 

Fellowships and Awards

  • Leverhulme Research Fellowship

 

Grant Reviewer

  • Grant reviewer: Carnegie Trust
  • Grant reviewer: Leverhulme Trust
  • Re-elected to EPSRC peer review college

 

Invited Speaker

  • Invited Talk: Tecnologico de Monterrey, Mexico
  • Invited Talk: University of St Andrews (Computer Science)
  • AHDB Smart Agriculture Conference (Invited Speaker)
  • Invited Seminar: University of Aberystwyth: Seminar, Life Long Learning in Optimisation
  • University of Stirling: Research Seminar
  • University of Nottingham Research Seminar
  • Invited Speaker: Women@GECCO workshop, GECCO 2015
  • Keynote Speaker at 28th European Conference on Operational Research in Poznan in July 2016
  • Inivited Talk: Mathematical Modelling of Wind Risk, Arcachon, France. Optimisation for Forestry
  • Keynote: 15th UK Conference on Computational Intelligence (UKCI 
2015

 

Media Activity

  • FOCAS project featured in EU FET newsletter
  • The PerAda project hosted a public debate "Emotion as Interface" at Edinburgh International Science Festival, chaired by Emma Hart, with panel guests Prof Kevin Warwick, Prof Nikola Serbedzija, ad Dr Jenny Tillotson

 

Research Degree External Examining

  • PhD Examiner: University of Cardiff (School of Mathematics)
  • Phd External Examiner Queen Mary University
  • PhD Examiner: Robert Gordon University
  • PhD Examiner University of Edinburgh
  • PhD Examiner: University of York
  • PhD Examiner: University of Hong Kong
  • PhD Examiner: University of Aberytwyth
  • PhD Examiner: Manchester Metropolitan
  • PhD examiner, University of Pretoria, South Africa
  • PhD Examiner University of Kent Canterbury
  • PhD Examiner University of YorK (Computer Science)
  • PhD examiner, University of Nottingham
  • PhD external examiner at Hong Kong Polytechnic University
  • PhD Examiner: Swinburne University of Technology, Australia
  • PhD at the University of Cardiff, in the School of Computer Science and Informatics
  • PhD examiner at the University of York

 

Date


161 results

Enhancing the performance of a GA through visualisation.

Conference Proceeding
Hart, E., & Ross, P. (1999)
Enhancing the performance of a GA through visualisation. In Proceedings of GECCO-2000
This article describes a new tool for visualising genetic algorithms, (GAs) which is designed in order to allow the implicit mechanisms of the GA | i.e. crossover and mutation...

Scheduling chicken catching - an investigation into the success of a genetic algorithm on a real world scheduling problem.

Journal Article
Hart, E., Ross, P., & Nelson, J. (1999)
Scheduling chicken catching - an investigation into the success of a genetic algorithm on a real world scheduling problem. Annals of Operations Research, 92, 363-380. https://doi.org/10.1023/A%3A1018951218434
Genetic Algorithms (GAs) are a class of evolutionary algorithms that have been successfully applied to scheduling problems, in particular job-shop and flow-shop type problems ...

The evolution and analysis of a potential antibody library for use in job-shop scheduling

Book
Hart, E., & Ross, P. (1998)
The evolution and analysis of a potential antibody library for use in job-shop scheduling. In D. Corne, M. Dorigo, F. Glover, D. Dasgupta, P. Moscato, R. Poli, & K. V. Price (Eds.), New Ideas in Optimisation, 185-202. McGraw-Hill

An immune system approach to scheduling in changing environments.

Conference Proceeding
Hart, E., & Ross, P. (1998)
An immune system approach to scheduling in changing environments. In W. Banzhaf, J. M. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, & R. E. Smith (Eds.), GECCO-99 : proceedings of the genetic and evolutionary computation conference. Volume 2, 1559-1566
This paper describes the application of an artificial immune system, (AIS), model to a scheduling application, in which sudden changes in the scheduling environment require th...

An adaptive mutation scheme for a penalty-based graph-colouring GA.

Conference Proceeding
Ross, P., & Hart, E. (1998)
An adaptive mutation scheme for a penalty-based graph-colouring GA. In A. E. Eiben, T. Back, M. Schoenauer, & H. Schwefel (Eds.), Parallel Problem Solving from Nature V, 795-802. https://doi.org/10.1007/BFb0056921
The folklore of evolutionary algorithms still seems to contain some gross over-generalistions, such as that direct encodings are inferior to indirect ones, that penalty-functi...

A heuristic combination method for solving job-shop scheduling problems.

Conference Proceeding
Hart, E., & Ross, P. (1998)
A heuristic combination method for solving job-shop scheduling problems. In A. E. Eiben, T. Back, M. Schoenauer, & H. Schwefel (Eds.), Parallel Problem Solving from Nature V, 845-854. https://doi.org/10.1007/BFb0056926
This paper describes a heuristic combination based genetic algorithm, (GA), for tackling dynamic job-shop scheduling problems. Our approach is novel in that the genome encodes...

Producing robust schedules via an artificial immune system.

Conference Proceeding
Hart, E., Ross, P., & Nelson, J. (1998)
Producing robust schedules via an artificial immune system. In Proceedings of International Conference on Evolutionary Computing, 464-469. https://doi.org/10.1109/ICEC.1998.699852
This paper describes an artificial immune system (AIS) approach to producing robust schedules for a dynamic jobshop scheduling problem in which jobs arrive continually, and th...

Some observations about GA-based exam timetabling.

Conference Proceeding
Ross, P., Hart, E., & Corne, D. (1998)
Some observations about GA-based exam timetabling. In E. Burke, & M. Carter (Eds.), Practice and Theory of Automated Timetabling II. , (115-129
Although many people have tried using genetic algorithms (GAs) for exam timetabling, far fewer have done systematic investigations to try to determine whether a GA is a good c...

A comparison of dominance mechanisms and simple mutation on non-stationary problems.

Conference Proceeding
Lewis, J., Hart, E., & Ritchie, G. (1998)
A comparison of dominance mechanisms and simple mutation on non-stationary problems. In Parallel Problem Solving from Nature-PPSN V. , (139-148). https://doi.org/10.1007/BFb0056857
It is sometimes claimed that genetic algorithms using diploid representations will be more suitable for problems in which the environment changes from time to time, as the add...

Solving a real-world problem using an evolving heuristically driven schedule builder.

Journal Article
Hart, E., Ross, P. & Nelson, J. (1997)
Solving a real-world problem using an evolving heuristically driven schedule builder. Evolutionary Computation. 6, 61-80. doi:10.1162/evco.1998.6.1.61. ISSN 1063-6560
This work addresses the real-life scheduling problem of a Scottish company that must produce daily schedules for the catching and transportation of large numbers of live chick...

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