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23 results

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232 results

FedBT: Effective and Robust Federated Unlearning via Bad Teacher Distillation for Secure Internet of Things

Journal Article
Wang, F., Huo, J., Wang, W., Zhang, X., Liu, Y., Tan, Z., & Wang, C. (in press)
FedBT: Effective and Robust Federated Unlearning via Bad Teacher Distillation for Secure Internet of Things. IEEE Internet of Things Journal,

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model

Presentation / Conference Contribution
Renau, Q., & Hart, E. (2025, April)
Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model. Presented at EvoSTAR 2025, Trieste, Italy
Recent approaches to training algorithm selectors in the black-box optimisation domain have advocated for the use of training data that is 'algorithm-centric' in order to enca...

Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing

Presentation / Conference Contribution
Sim, K., Hart, E., & Renau, Q. (2025, April)
Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing. Presented at EvoSTAR 2025, Trieste, Italy
Coupling Large Language Models (LLMs) with Evolutionary Algorithms has recently shown significant promise as a technique to design new heuristics that outperform existing meth...

Multi-Agent Deep Reinforcement Learning-Based Cooperative Perception and Computation in VEC

Journal Article
Zhao, L., Li, L., Tan, Z., Hawbani, A., He, Q., & Liu, Z. (online)
Multi-Agent Deep Reinforcement Learning-Based Cooperative Perception and Computation in VEC. IEEE Internet of Things Journal, https://doi.org/10.1109/jiot.2025.3546915
Connected and autonomous vehicles (CAVs) are an important paradigm of intelligent transportation systems. Cooperative perception (CP) and vehicular edge computing (VEC) enhanc...

Dynamic Caching Dependency-Aware Task Offloading in Mobile EdgeComputing

Journal Article
Zhao, L., Zhao, Z., Hawbani, A., Liu, Z., Tan, Z., & Yu, K. (2025)
Dynamic Caching Dependency-Aware Task Offloading in Mobile EdgeComputing. IEEE Transactions on Computers, 74(5), 1510-1523. https://doi.org/10.1109/tc.2025.3533091
Mobile Edge Computing (MEC) is a distributed computing paradigm that provides computing capabilities at the periphery of mobile cellular networks. This architecture empowers M...

An Evaluation of Domain-agnostic Representations to Enable Multi-task Learning in Combinatorial Optimisation

Presentation / Conference Contribution
Stone, C., Renau, Q., Miguel, I., & Hart, E. (2024, June)
An Evaluation of Domain-agnostic Representations to Enable Multi-task Learning in Combinatorial Optimisation. Presented at 18th Learning and Intelligent Optimization Conference, Ischia, Italy
We address the question of multi-task algorithm selection in combinatorial optimisation domains. This is motivated by a desire to simplify the algorithm-selection pipeline by ...

A Multi-UAV Cooperative Task Scheduling in Dynamic Environments: Throughput Maximization

Journal Article
Zhao, L., Li, S., Tan, Z., Hawbani, A., Timotheou, S., & Yu, K. (2025)
A Multi-UAV Cooperative Task Scheduling in Dynamic Environments: Throughput Maximization. IEEE Transactions on Computers, 74(2), 442 - 454. https://doi.org/10.1109/tc.2024.3483636
Unmanned aerial vehicle (UAV) has been considered a promising technology for advancing terrestrial mobile computing in the dynamic environment. In this research field, through...

Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances

Presentation / Conference Contribution
Hart, E., Renau, Q., Sim, K., & Alissa, M. (2024, September)
Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances. Presented at 18th International Conference on Parallel Problem Solving From Nature PPSN 2024, Hagenburg, Austria
Deep neural networks (DNN) are increasingly being used to perform algorithm-selection in combinatorial optimisation domains, particularly as they accommodate input representat...

Synthesising Diverse and Discriminatory Sets of Instances using Novelty Search in Combinatorial Domains

Journal Article
Marrero, A., Segredo, E., Leon, C., & Hart, E. (2025)
Synthesising Diverse and Discriminatory Sets of Instances using Novelty Search in Combinatorial Domains. Evolutionary Computation, 33(1), 55–90. https://doi.org/10.1162/evco_a_00350
Gathering sufficient instance data to either train algorithm-selection models or understand algorithm footprints within an instance space can be challenging. We propose an app...

A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control

Conference Proceeding
Montague, K., Hart, E., & Paechter, B. (2024)
A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control. In S. Smith, J. Correia, & C. Cintrano (Eds.), Applications of Evolutionary Computation: 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings, Part I (178-193). https://doi.org/10.1007/978-3-031-56852-7_12
Behaviour trees (BTs) are commonly used as controllers in robotic swarms due their modular composition and to the fact that they can be easily interpreted by humans. From an a...
31 results

False webs: Network to address the misinformation pandemic

2023 - 2025
Fake news (inaccurate information) peaked during the pandemic with around 46 000 daily Twitter posts containing false information (Lupi, 2020). In Europe over 70% people regularly encounter fake news ...
Funder: Royal Society of Edinburgh | Value: £19,931

Cloud based distribution system to tackle food poverty

2022 - 2023
Local food sectors, e.g. Foodbanks, still rely on paper-based referral systems whilst continuing to see increasing demand. In addition, the model of direct hand-outs of food parcels and electricity vo...
Funder: Scottish Funding Council | Value: £570

AI for Plant Image Analysis: where we are and whats next?

2021 - 2023
The workshop has two aims: (i) offering training sessions on how to develop deep networks to people involved in plant biology; (ii) analyse their current provision
Funder: The University of Nottingham | Value: £5,400

A Reinforcement Learning Based Resource Management System for Long Term Care for Elderly People

2021 - 2024
A reinforcement learning method will model the behaviour of community care organisations with sequential decision processes focusing on organising the distribution, procurement and management of daily...
Funder: Royal Society of Edinburgh | Value: £11,200

Keep Learning

2021 - 2025
The project proposes a novel architecture for designing optimisation systems that “keeps learning” when exposed to a continual stream of instances: these systems will autonomously adapt their compone...
Funder: Engineering and Physical Sciences Research Council | Value: £388,219

KTP Ace Aquatec

2021 - 2023
To develop, test and incorporate Innovative AI based approaches to improve accuracy of Individual fish identification and sea lice detection.
Funder: Innovate UK | Value: £265,334

Towards Guided Self-Organisation in Artificial Complex Systems: A Swarm Robotics Case Study

2020 - 2024
Swarm robotics refers to the design and coordination of large numbers of simple physical robots. Uses include environmental applications such as pollution monitoring in the oceans using aquatic robots...
Funder: Royal Society | Value: £11,500

Bus Passenger Analytics

2020 - 2020
Passengers using the Lothian Buses network may use a smart card (Ridacard) to pay for their journey, swiping the card on boarding a vehicle. Smart card journeys account for about 1/3rd of journeys mad...
Funder: Data Lab | Value: £26,170

Extending a microservices architecture to support user functions and provide cloud APIs

2019 - 2020
Extending a containerised microservices architecture developed in the initial project to support a set of user functions required for the platform's MVP. Additionally, the project will deliver cloud A...
Funder: Scottish Funding Council | Value: £14,250

Optimisation of AirNode mesh nets

2019 - 2020
Urban air quality affects the lives of millions, according to WHO statistics air quality contributes to 6.7% of all deaths worldwide. Managing air quality in urban areas is now a priority for governme...
Funder: Scottish Funding Council | Value: £5,000
8 results

Application of evolutionary machine learning in metamorphic malware analysis and detection

2017 - 2021
Dr Kehinde Babaagba | Director of Studies: Dr Thomas Tan | Second Supervisor: Prof Emma Hart

Towards real-time cognitively-inspired multi-modal speech separation: Novel architectures and algorithms

2016 - 2021
Dr. Mandar Gogate | Director of Studies: Prof Amir Hussain | Second Supervisor: Prof Ahmed Al-Dubai

Evolving planar mechanisms for the conceptual stage of mechanical design

2015 - 2020
Dr Paul Lapok | Director of Studies: Alistair Lawson | Second Supervisor: Prof Ben Paechter

A closer look at adaptation mechanisms in simulated environment-driven evolutionary swarm robotics

2013 - 2018
Swarm robotics is a special case within the general field of robotics. The distributed nature makes it...
Dr Andreas Steyven | Director of Studies: Prof Emma Hart | Second Supervisor: Prof Ben Paechter

The evaluation of data filtering criterial in wind turbine power performance assessment

2012 - 2019
Dr Brian Davison | Director of Studies: Prof Tariq Muneer | Second Supervisor: Prof Ahmed Al-Dubai

Novel hyperheuristics applied to the domain of bin packing

2010 - 2014
Hyper-heuristics (HH) have been described as methodologies that aim to offer “good enough -soon enough - cheap enough” solutions to real world...
Dr Kevin Sim | Director of Studies: Prof Emma Hart | Second Supervisor: Prof Ben Paechter

Investigating communicating sequential processes for Java to support ubiquitous computing

2005 - 2009
Ubiquitous Computing promises to enrich our everyday lives by enabling the environment to be enhanced via compu...
Dr Kevin Chalmers | Director of Studies: Prof Jon Kerridge | Second Supervisor: Dr Imed Romdhani

Solving a real world routing proglem using evolutionary algorithms and multi-agent systems

1999 - 2003
Dr Neil Urquhart | Director of Studies: Peter Ross | Second Supervisor: Prof Ben Paechter

Date


Research Areas

17 results

3MT Competition is Open!

7 May 2025
3MT Competition is open for submissions! Can you convince non-specialist audiences that your research is really as important as you believe it is? Here’s your chance to find out!

Prof. Emma Hart invited to join Scottish Government Steering Group to develop an Artificial Intelligence (AI) strategy for Scotland.

17 September 2019
Prof. Emma Hart has been invited by Minister Kate Forbes to join a Scottish Government Steering Group to develop an Artificial Intelligence (AI) strategy for Scotland.

Researchers from Nature-Inspired Intelligent Systems group win Best Paper Award@GECCO 2019

17 July 2019
PhD student Mohamad Alissa with supervisors Dr Kevin Sim and Prof. Emma Hart won the Best Paper award in the ECOM track at GECCO 2019 in Prague for their paper: Algorithm Selection Using Deep Learnin...

Prof . Emma Hart gives interview "An Insider's Guide to Evolutionary Computation"

17 December 2018
Laura van Beers from ContactEngine, a London based company delivering software that enables its customers to proactively engage customers in AI-driven conversations to fulfil their business objective...

Prof. Emma Hart invited to talk at Scotland IS Software Engineering Leader's Forum to discuss SICSA's work on AI

20 November 2018
Prof. Emma Hart gave an invited talk at the monthly meet-up of the Scotland IS Software Engineering forum on behalf of the SICSA AI theme to describe the work taking place across Scottish Universities...

Prof. Emma Hart interviewed in new video released by Sentient AI to provide unique insights to business leaders on the growing applicability of evolutionary computation

14 August 2018
Sentient Technologies, a world leader in artificial intelligence (AI) products based on evolutionary computation, today announced a new video collection that provides unique insights to the burgeonin...

Prof. Emma Hart and Dr Kevin Sim win Bronze Award in International Humies competition for work on predicting wind damage in Forestry

19 July 2018
The Annual Humies prize is awarded at the International Conference on Genetic and Evolutionary Computation for human-competitive results that have been produced by any form of genetic and evolutionar...

Evolutionary Robotics Research Nominated for Best Paper Award

15 July 2018
Prof. Emma Hart, Dr Andreas Steyven and Prof. Ben Paechter have been nominated for a prestigious best paper award at the GECCO 18, Kyoto, Japan for new work in evolving a diverse team of swarm robot...

Prof. Emma Hart invited as a keynote speaker at IJCCI in Funchal, Madeira, November 2017

1 November 2017
The International Joint Conference on Computational Intelligence brings together researchers, engineers and practitioners interested in the field of Computational Intelligence both from theoretical an...

CAVES researchers have 3 papers accepted at GECCO 2017

15 July 2017
Members of the CAVES research group have 3 papers accepted at the world's leading conference on Evolutionary Computing. GECCO 2017 will be held in Berlin from 15-19th July 2017. Accepted papers are: ...