糖心Vlog

Javier Andreu-Perez

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

Hani Hagras

• Keynote 鈥淭owards Human-Friendly Explainable Artificial Intelligence鈥� 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, "", IEEE Transactions on Fuzzy Systems, February 2021
• G Yosr, N Baklouti, H Hagras, AM Alimi, "", IEEE Transactions on Fuzzy Systems, January 2021
• DS Mai, LT Ngo, H Hagras, "", Information Sciences, February 2021
• J Andreu et al, 鈥溾��, IEEE Transactions on Service Computing, 2021
• M. Khan, O. S Mohammad, T. Hussain, J. Del Ser, N. Kumar and M. Tanveer and F. Doctor, 鈥溾�� ACM Computing Surveys.
• T. Maniak, R. Iqbal, F. Doctor, "" in IEEE Transactions on Intelligent Transportation Systems, September 2020.
• Z. Wei, F. Doctor, Y. Liu, S. Fan and J. Shieh, "," IEEE Transactions on Fuzzy Systems, vol. 28, No 6, June 2020.
• R. Iqbal, F. Doctor, B. More, S. Mahmud, U. Yousuf, 鈥溾��, Technological Forecasting and Social Change, Elsevier, vol. 153, pp. 119-253, April 2020.
• D Jarchi, J Andreu et al., 鈥溾��, Sensors, 2020,
• A Andreu, M Kiani, J Andreu et al., 鈥溾��, Brain Sciences, 2020
• M Kiani, J Andreu, H Hagras et al, 鈥溾��, IEEE Transactions on Cognitive and Development, 2019.
• G Akshansh, J Andreu et al., , Man, and Cybernetics: Systems, 2019.
• G. Akshansh, J Andreu et al. "." Neurocomputing, 2019.
• JM Mendel, R Chimatapu, H Hagras, "", IEEE Transactions on Fuzzy Systems, Vol. 28, No.4, pp. 783-794, May 2019
• G Ruiz-Garc铆a, H Hagras, H Pomares, IR Ruiz, "", IEEE Transactions on Fuzzy Systems, Vol. 27, No. 12, pp. 2381-2395, February 2019
• Y Liu, RM Rodr铆guez, H Hagras, H Liu, K Qin, L Mart铆nez, "", IEEE Transactions on Fuzzy Systems, Vol. 27, No.12, pp. 2312-2326, February 2019
• R. Iqbal, T. Maniak, F. Doctor and C. Karyotis, "," in IEEE Transactions on Industrial Informatics, vol. 15, no. 5, pp. 3077-3084, May 2019
• H Hagras, "", Computer, Vol. 51, No. 9, pp. 28-36, October 2018
• Y Jarraya, S Bouaziz, H Hagras, AM Alimi, "", 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, 鈥溾��, Future Generation Computer Systems, Elsevier, vol. 88, Pages 479-490, November 2018.
• C. Karyotis, F. Doctor, R. Iqbal, A. James and V Chang, 鈥溾��, Information Sciences, Elsevier, vol. 433-434, pp. 448-463, April 2018.
• A Starkey, H Hagras, S Shakya, G Owusu, "", IEEE Transactions on Fuzzy Systems, Vol. 27, No.3 pp. 502-514, August 2018
• J Andreu, H Hagras et al., 鈥溾��, 26(1), pp. 101 鈥� 116, IEEE Transactions on Fuzzy Systems, pp. 1-16, 2018.
• J Andreu, L Garcia-Gancedo et al. "." Sensors, 2017.
• L. De Miguel, H. Santos, M. Sesma-Sara, B. Bedregal, J. Aranzazu, H. Bustince, H. Hagras, 鈥溾�� IEEE Transactions on Fuzzy Systems, July 2016
• B. Yao, H. Hagras, D. Alghazzawi, M. Al haddad, 鈥溾�� IEEE Transactions on Fuzzy Systems, 2016
• M. Antonelli, D. Bernardo, H. Hagras, F. Marcelloni, 鈥溾�� IEEE Transactions on Fuzzy Systems, 2016
• H Bustince Sola, E Barrenechea Tartas, M Pagola Barrio,"", IEEE Transactions on Fuzzy Systems, vol. 24, no. 1, February 2017
• G. Ruiz, H. Hagras, I Rojas, H. Pomares, H. Bustince-Sola 鈥溾�� IEEE Transactions on Fuzzy Systems, 2015.
• A. Bilgin, H.Hagras, J. Helvert, D. Alghazzawi 鈥溾�� IEEE Transactions on Fuzzy Systems, Vol. 24, No.2, pp. 306-326, 2016.
• J. Sanz, D. Bernardo, F. Herrera, H. Bustince, H. Hagras, 鈥溾�� IEEE Transactions on Fuzzy Systems, Vol.23m No.4, pp.973- 990, August 2015.
• T. Kumbasar, H. Hagras, 鈥溾��, IEEE Transactions on Fuzzy Systems, Vol.23, No.4, pp.991-1013, August 2015.
• J. Mendel, H. Hagras, H. Sola, F. Herrera, 鈥溾�� IEEE Transactions on Fuzzy Systems, 2015.
• A.Ghelli, H. Hagras, G. Aldabbagh, 鈥溾�� IEEE Transactions on Fuzzy Systems, 2015.
• H.Bustince, J. Fernandez, H. Hagras, F. Herrera, M. Pagola, E. Barrenechea, 鈥溾��, Vol.23, No.5, pp.1876-1882, IEEE Transactions on Fuzzy Systems, October 2015

• GCRF funded project by the 鈥�Frugal Technology-Assisted Neuro-rehab for Post-stroke Care in Rural Mexico鈥� - 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), 鈥淓xplainable AI systems for high power pumping systems monitoring and predictive maintenance鈥� Funded by Innovate UK and Aquatech Presmain Ltd,. Our 糖心Vlog funding is 拢243,533
• (May 2019-May 2022), 鈥淓xplainable AI system for Developing Novel AI techniques to Mobile Network Coverage鈥� Funded by British Telecom, Our funding is 拢260,000.
• (March 2019-March 2022) 鈥淎n Explainable Artificial Intelligence System for Realizing Smart Internet of Things Networks 鈥� Funded by Innovate UK and Plextek Ltd, (Principal Investigator). Our 糖心Vlog funding is 拢243,533.
• (March 2018-June 2021) 鈥淰isual classification & tagging, and delivering this ability into the hands of the domain experts.鈥� Funded by the Technology Strategy Board and Filament Ltd. The 糖心Vlog funding is 拢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 糖心Vlog funding is 拢243,000
• (August 2018-August 2021), 鈥淚ntelligent recommender system for vehicle prognosis鈥� Funded by the Technology Strategy Board and Cognitran Ltd (Smart Vehicles) - The 糖心Vlog funding is 拢243,000
• (October 2018-October 2021) 鈥淪trategic Deployment and Utilisation of Assets鈥�, Funded by British Telecom. The 糖心Vlog funding was 拢75,000
• (October 2018-October 2021) 鈥淓xploiting Mixed-Reality Technologies for Network Asset Management鈥� Funded by British Telecom.. The 糖心Vlog funding was 拢75,000.
• ESRC Impact Lab ECC Challenge Lab project - Effortless Accountability project with Colchester County Council - 2017
• (January 2017-January 2020) 鈥淥ptimised Field Service Delivery: Exploiting computational approaches for field service delivery鈥� Funded by British Telecom.. The 糖心Vlog funding was 拢90,000
• (October 2016-January 2019) 鈥淩isk-based simulation for sustainable field operations鈥� Funded by British Telecom. The 糖心Vlog funding was 拢90,000.
• (August 2015-August 2018) 鈥淎n Intelligent Augmented Reality Remote Workforce Management System鈥� Funded by the Innovate UK and BT. Funded by Innovate UK and British Telecom, This is a KTP project in which our total 糖心Vlog funding is 拢222,000.
• (August 2015-August 2018) 鈥淓nhanced Capability in Computer-Vision Based Decision-Making Systems鈥� Funded by the Innovate UK and Selex ES This is a KTP project in which our total 糖心Vlog funding is 拢210,000.

We regularly participate in different educational events. In 2020 we organised a hackathon for Postgraduates and Undergraduate students 鈥溙切腣log COVID-19 Hackathon鈥�.

We also participated at the .

 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
•  - The Times
• Video - The Winner of the 糖心Vlog Best KTP Academic Award - Prof Hani Hagras & Dr Adrian Clark

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