Clearing 2021
Centre

Centre for Computational Intelligence

Part of School of Computer Science and Electronic Engineering

Computational Intelligence is a research area that brings together artificial intelligence, computational neuroscience and computational biology, with the aim of advancing towards Artificial General Intelligence.

The field of interests are in theory, design, development and applications of biologically, socially and linguistically-motivated computational paradigms emphasising evolutionary systems, deep neural networks, soft computing, explainable artificial intelligence, and hybrid intelligent systems, in which these paradigms are contained.

Our interdisciplinary Centre also addresses the challenges of Computational Intelligence for complex real-world problems and its consequences in our society, ethics, human enhancement, and creativity. This is a university-wide Centre with a high focus on interdisciplinary research, encompassing an innovative collaborative context of inter-departmental and inter-faculty research. This Centre belongs and is formed by academics from the Faculty of Science and Health, the Faculty of Social Sciences and the Faculty of Arts and Humanities.

The inter-disciplinary nature of the Centre aims to break down the barriers between the different disciplines and sciences contributing to Computational Intelligence and hence create strong collaboration between the Centre members to develop a ground breaking research that will lead to major breakthroughs in the field.

Our groups

Our centre contains the following research groups;

Highlights of our work

Keynote speeches

Javier Andreu-Perez

  • Keynote: “Intelligent computational inputs to combat COVID-19”, Applied Computational Intelligence, RedICA CONACYT, Mexico DF, Mexico, 2020
  • Keynote: SFNIRS DataBlitz hosted by University of Boston (USA) “Computational intelligence in fNIRS data analysis” The Society for functional Near Infrared Spectroscopy, 2020
  • Keynote Tutorial: “Fuzzy Systems for Neuroscience and Neuro-Engineering” World Congress on Computational Intelligence 2020
  • Keynote Keynote: “How AI Can Empower People”, Institute of Directors (IoD), London, UK. 2019
  • Keynote Keynote: “Unleashing the potential of wearable sensors for continuous RA monitoring with Machine Learning / Deep Learning” Venue: 1st Digital Rheumatology Day, Lausanne, Switzerland, 2018
  • Expert Panel: “The future of Brain Computer Interfaces” Venue: IEEE-FUZZ 2017, Naples, Italy, 2017
  • Keynote: “Soft computing methods applied to Neuro-Engineering.” Host institution: Pontifical Catholic University of Peru. 2017

View Javier's profile

Hani Hagras

  • Keynote “Towards Human-Friendly Explainable Artificial Intelligence” 2020 International Conference on Image Analysis and Recognition , ICIAR 2020, 24-26 June 2020, Portugal
  • Invited Keynote speech in the 2019 International Conference on Intelligent Computing in Data Science, Marrakesh , Morocco, October 2019.
  • Invited Keynote speech in the 2018 International Conference on Intelligent Computing in Data Science, Fez, Morocco, October 2018.
  • Invited Keynote speech in the Industry 4.0 conference within the 30th Anniversary of the Public University of Navarra, Spain, September 2017.
  • Plenary keynote speech within the IEEE Computational Intelligence Society Distinguished Lecturer Programme in China (Chinese Academy of Science), September 2017
  • Plenary keynote speech within the IEEE Computational Intelligence Society Distinguished Lecturer Programme in Canada (University of Ottawa), April 2018 .
  • Invited Keynote speech in the Eleventh International Workshop on Fuzzy Logic and Applications, Naples, Italy, December 2016.
  • Invited Keynote speech in the Computational Intelligence Summer School, Tunisia, November 2016.
  • Invited Keynote Speech in the Intelligent Building Conference, Malta, May 2016 .
  • Invited Speech in the 2014 University of Granada, Spain Experts Seminar Series in Intelligent Systems, Granada, Spain, February 2014.

View Hani's profile

Dr Faiyaz Doctor

  • F. Doctor and D. Alves, Using Data Analytics to Inform Labour Market Models, CID Speaker Series, Centre for International Development at Harvard University, September 13th 2019.

View Faiyaz's profile

Publications

Research projects

  • GCRF funded project by the “Frugal Technology-Assisted Neuro-rehab for Post-stroke Care in Rural Mexico” - 2020
  • ESRC Impact Lab Breaking Down Barriers for the Benefit of Population Health - 2019
  • Computational Intelligence for automatic monitoring and control of drug delivery during surgery collaborative research in partnership with Department of Mechanical Engineering, Yuan Ze University and the Department of Anesthesiology, National Taiwan University Hospital, Taiwan.
  • AI-Driven Digital Transformation of Shipping and Haulage Operations, Innovate UK funded knowledge transfer partnership with Mediterranean Shipping Company, UK
  • Asset monitoring in facility management using Internet of Things and artificial intelligence, Innovate UK funded knowledge transfer partnership with Cloud FM, UK
  • Innovative SaaS-based System to Create AI driven Video Content and Distribution Strategies for Marketing, Innovate UK funded knowledge transfer partnership with Hub TV, UK
  • Data driven computational models for prediction and simulation of path dependencies in complex dynamic labour market systems, in collaboration with the Ministry of Human Resource and Social Development, Saudi Arabia, (MLSD, funded through Evidence for Policy Design at the Harvard Kennedy School, USA and Human Resources Development Fund (HRDF), Saudi Arabia.
  • VR driven framework for supporting innovation and entrepreneurship between sub-Saharan universities and industries which includes AI-based facilitation of these environments, funded through The Royal Academy of Engineering and supported by the Anglo-American Group Foundation and the UK Government through the Global Challenges Research Fund.
  • (June 2019-June 2022), “Explainable AI systems for high power pumping systems monitoring and predictive maintenance” Funded by Innovate UK and Aquatech Presmain Ltd,. Our Essex funding is £243,533
  • (May 2019-May 2022), “Explainable AI system for Developing Novel AI techniques to Mobile Network Coverage” Funded by British Telecom, Our funding is £260,000.
  • (March 2019-March 2022) “An Explainable Artificial Intelligence System for Realizing Smart Internet of Things Networks ” Funded by Innovate UK and Plextek Ltd, (Principal Investigator). Our Essex funding is £243,533.
  • (March 2018-June 2021) “Visual classification & tagging, and delivering this ability into the hands of the domain experts.” Funded by the Technology Strategy Board and Filament Ltd. The Essex funding is £243,533
  • (August 2018-August 2021), Develop a new service for the international solar market, 'SolarGain - Funded by the Technology Strategy Board and High Vision with Above Surveying Ltd (Green Technologies and UAVs. . The Essex funding is £243,000
  • (August 2018-August 2021), “Intelligent recommender system for vehicle prognosis” Funded by the Technology Strategy Board and Cognitran Ltd (Smart Vehicles) - The Essex funding is £243,000
  • (October 2018-October 2021) “Strategic Deployment and Utilisation of Assets”, Funded by British Telecom. The Essex funding was £75,000
  • (October 2018-October 2021) “Exploiting Mixed-Reality Technologies for Network Asset Management” Funded by British Telecom.. The Essex funding was £75,000.
  • ESRC Impact Lab ECC Challenge Lab project - Effortless Accountability project with Colchester County Council - 2017
  • (January 2017-January 2020) “Optimised Field Service Delivery: Exploiting computational approaches for field service delivery” Funded by British Telecom.. The Essex funding was £90,000
  • (October 2016-January 2019) “Risk-based simulation for sustainable field operations” Funded by British Telecom. The Essex funding was £90,000.
  • (August 2015-August 2018) “An Intelligent Augmented Reality Remote Workforce Management System” Funded by the Innovate UK and BT. Funded by Innovate UK and British Telecom, This is a KTP project in which our total Essex funding is £222,000.
  • (August 2015-August 2018) “Enhanced Capability in Computer-Vision Based Decision-Making Systems” Funded by the Innovate UK and Selex ES This is a KTP project in which our total Essex funding is £210,000.

Education

We regularly participate in different educational events. In 2020 we organised a hackathon for Postgraduates and Undergraduate students “Essex COVID-19 Hackathon”.

We also participated at the EU vs Virus Challenge.

Media

 Our academic staff frequently feature within the wider press and media. Below are some examples of their latest appearances:

  • Video - Winner of the Essex Best KTP Associate Award - Antonio Campello
Get in touch
Professor Hani Hagras
Dr Javier Andreu