Centre for Computational Intelligence

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

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.

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.

• S Cherif, N Baklouti, H Hagras, AM Alimi, "Novel Intuitionistic Based Interval Type-2 Fuzzy Similarity Measures with Application to Clustering", IEEE Transactions on Fuzzy Systems, February 2021
• G Yosr, N Baklouti, H Hagras, AM Alimi, "Interval Type-2 Beta Fuzzy Near Sets Approach to Content-Based Image Retrieval", IEEE Transactions on Fuzzy Systems, January 2021
• DS Mai, LT Ngo, H Hagras, "A hybrid interval type-2 semi-supervised possibilistic fuzzy c-means clustering and particle swarm optimization for satellite image analysis", Information Sciences, February 2021
• J Andreu et al, “A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-need Covid-19 Test and Severity Levels”, IEEE Transactions on Service Computing, 2021
• M. Khan, O. S Mohammad, T. Hussain, J. Del Ser, N. Kumar and M. Tanveer and F. Doctor, “Fuzzy Logic in Surveillance Big Video Data Analysis: Comprehensive Review, Challenges, and Research Directions,” ACM Computing Surveys.
• T. Maniak, R. Iqbal, F. Doctor, "Hierarchical spatial-temporal state machine for vehicle instrument cluster manufacturing," in IEEE Transactions on Intelligent Transportation Systems, September 2020.
• Z. Wei, F. Doctor, Y. Liu, S. Fan and J. Shieh, "An Optimized Type-2 Self-Organizing Fuzzy Logic Controller Applied in Anesthesia for Propofol Dosing to Regulate BIS," IEEE Transactions on Fuzzy Systems, vol. 28, No 6, June 2020.
• R. Iqbal, F. Doctor, B. More, S. Mahmud, U. Yousuf, “Big Data Analytics: Computational Intelligence Techniques and Application Areas”, Technological Forecasting and Social Change, Elsevier, vol. 153, pp. 119-253, April 2020.
• D Jarchi, J Andreu et al., “A Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning”, Sensors, 2020,
• A Andreu, M Kiani, J Andreu et al., “Single-Trial Recognition of Video Gamer’s Expertise from Brain Haemodynamic and Facial Emotion Responses”, Brain Sciences, 2020
• M Kiani, J Andreu, H Hagras et al, “Effective Brain Connectivity for fNIRS with Fuzzy Cognitive Maps in Neuroergonomics”, IEEE Transactions on Cognitive and Development, 2019.
• G Akshansh, J Andreu et al., On the utility of Power Spectral Techniques with feature selection Techniques for Effective Mental Task Classification in Non-invasive BCI, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019.
• G. Akshansh, J Andreu et al. "A Hierarchical Meta-model for Multi-Class Mental Task Based Brain-Computer Interfaces." Neurocomputing, 2019.
• JM Mendel, R Chimatapu, H Hagras, "Comparing the Performance Potentials of Singleton and Non-singleton Type-1 and Interval Type-2 Fuzzy Systems in Terms of Sculpting the State Space", IEEE Transactions on Fuzzy Systems, Vol. 28, No.4, pp. 783-794, May 2019
• G Ruiz-García, H Hagras, H Pomares, IR Ruiz, "Toward a fuzzy logic system based on general forms of interval type-2 fuzzy sets", IEEE Transactions on Fuzzy Systems, Vol. 27, No. 12, pp. 2381-2395, February 2019
• Y Liu, RM Rodríguez, H Hagras, H Liu, K Qin, L Martínez, "Type-2 fuzzy envelope of hesitant fuzzy linguistic term set: a new representation model of comparative linguistic expression", IEEE Transactions on Fuzzy Systems, Vol. 27, No.12, pp. 2312-2326, February 2019
• R. Iqbal, T. Maniak, F. Doctor and C. Karyotis, "Fault Detection and Isolation in Industrial Processes Using Deep Learning Approaches," in IEEE Transactions on Industrial Informatics, vol. 15, no. 5, pp. 3077-3084, May 2019
• H Hagras, "Toward human-understandable, explainable AI", Computer, Vol. 51, No. 9, pp. 28-36, October 2018
• Y Jarraya, S Bouaziz, H Hagras, AM Alimi, "A multi-agent architecture for the design of hierarchical interval type-2 beta fuzzy system", IEEE Transactions on Fuzzy Systems, Vol. 27, No. 6, pp. 1174-1188, September 2018
• J. Navarro, F. Doctor, V. Zamudio, R. Iqbal, A. K. Sangaiah and C. Lino, “Fuzzy adaptive cognitive stimulation therapy generation for Alzheimer’s sufferers: Towards a pervasive dementia care monitoring platform”, Future Generation Computer Systems, Elsevier, vol. 88, Pages 479-490, November 2018.
• C. Karyotis, F. Doctor, R. Iqbal, A. James and V Chang, “A Fuzzy Computational Model of Emotion for Cloud based Sentiment Analysis”, Information Sciences, Elsevier, vol. 433-434, pp. 448-463, April 2018.
• A Starkey, H Hagras, S Shakya, G Owusu, "iPatch: a many-objective type-2 fuzzy logic system for field workforce optimization", IEEE Transactions on Fuzzy Systems, Vol. 27, No.3 pp. 502-514, August 2018
• J Andreu, H Hagras et al., “A Self-Adaptive Online Brain Machine Interface of a Humanoid Robot through a General Type-2 Fuzzy Inference System”, 26(1), pp. 101 – 116, IEEE Transactions on Fuzzy Systems, pp. 1-16, 2018.
• J Andreu, L Garcia-Gancedo et al. "Developing Fine-Grained Actigraphies for Rheumatoid Arthritis Patients from a Single Accelerometer Using Machine Learning." Sensors, 2017.
• L. De Miguel, H. Santos, M. Sesma-Sara, B. Bedregal, J. Aranzazu, H. Bustince, H. Hagras, “Type-2 Fuzzy Entropy-Sets” IEEE Transactions on Fuzzy Systems, July 2016
• B. Yao, H. Hagras, D. Alghazzawi, M. Al haddad, “A Big Bang-Big Crunch Type-2 Fuzzy Logic System for Machine Vision-Based Event Detection and Summarization in Real-world Ambient Assisted Living” IEEE Transactions on Fuzzy Systems, 2016
• M. Antonelli, D. Bernardo, H. Hagras, F. Marcelloni, “Multi-Objective Evolutionary Optimization of Type-2 Fuzzy Rule-based Systems for Financial Data Classification” IEEE Transactions on Fuzzy Systems, 2016
• H Bustince Sola, E Barrenechea Tartas, M Pagola Barrio,"A historical account of types of fuzzy sets and their relationships", IEEE Transactions on Fuzzy Systems, vol. 24, no. 1, February 2017
• G. Ruiz, H. Hagras, I Rojas, H. Pomares, H. Bustince-Sola “Join and Meet operations for Type-2 Fuzzy Sets with Non-Convex Secondary Memberships” IEEE Transactions on Fuzzy Systems, 2015.
• A. Bilgin, H.Hagras, J. Helvert, D. Alghazzawi “A Linear General Type-2 Fuzzy Logic Based Computing With Words Approach for Realising an Ambient Intelligent Platform for Cooking Recipes Recommendation” IEEE Transactions on Fuzzy Systems, Vol. 24, No.2, pp. 306-326, 2016.
• J. Sanz, D. Bernardo, F. Herrera, H. Bustince, H. Hagras, “A Compact Evolutionary Interval-Valued Fuzzy Rule-Based Classification System for the Modeling and Prediction of Real-World Financial Applications with Imbalanced Data” IEEE Transactions on Fuzzy Systems, Vol.23m No.4, pp.973- 990, August 2015.
• T. Kumbasar, H. Hagras, “A Self-Tuning zSlices based General Type-2 Fuzzy PI Controller”, IEEE Transactions on Fuzzy Systems, Vol.23, No.4, pp.991-1013, August 2015.
• J. Mendel, H. Hagras, H. Sola, F. Herrera, “Comments on: Interval Type-2 Fuzzy Sets are generalization of Interval-Valued Fuzzy Sets: Towards a Wider view on their relationship” IEEE Transactions on Fuzzy Systems, 2015.
• A.Ghelli, H. Hagras, G. Aldabbagh, “A Fuzzy Logic Based Retrofit System for Enabling Smart Energy Efficient Electric Cookers” IEEE Transactions on Fuzzy Systems, 2015.
• H.Bustince, J. Fernandez, H. Hagras, F. Herrera, M. Pagola, E. Barrenechea, “Interval Type-2 Fuzzy Sets are generalization of Interval-Valued Fuzzy Sets: Towards a Wider view on their relationship”, Vol.23, No.5, pp.1876-1882, IEEE Transactions on Fuzzy Systems, October 2015

• 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.

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.

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

• AI project to help stroke patients in rural Mexico
• App can spot Covid cough by its sound - The Times
• Video - The Winner of the Essex Best KTP Academic Award - Prof Hani Hagras & Dr Adrian Clark

• Video - Winner of the Essex Best KTP Associate Award - Antonio Campello