Funding
1) Industrial project - charity funding [PI, £14,853]
Duration: September 1, 2025 - Feb 28, 2026
Title: AI Coach for Tennis
2) EPSRC Early Career Researchers International Collaboration Grants (EP/Y002539/1) [PI, £205,694]
Duration: April 1, 2024 - March 31st, 2026
Title: Adaptive Multi-Source Transfer Learning Approaches for Environmental Challenges
3) UKFin+ Pilot Funding Scheme, UKRI [Co-I, £20,000]
Duration: April 1, 2024 - July 31, 2024.
Title: Unfed: Selective Forgetting in Federated Financial Applications.
Collaborator: advicerobo.com
4) The Leverhulme Trust Research Fellowship, Royal Academy of Engineering [PI, £57,500]
Duration: Oct. 1, 2022 - Sep. 30, 2023.
Title: Detecting and Anticipating Data Non-stationarity in Distributed Machine Learning
5) Industrial project with Siemens Energy Ltd [Co-I, £122k]
Title: IoT sensor network system for Space utilisation improvements
6) Royal Society International Exchange Project (IES\R1\211036) [PI, £12,000]
Duration: Aug 10, 2021-Aug 9, 2023.
Title: Modelling Oceanic Internal Waves with Machine Learning Approaches
7) Birmingham International Engagement Fund (BIEF), University of Birmingham, 2020. [PI, £5000]
Funding research: Oceanic Internal Wave Forecasting with Machine Learning Approaches, with Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences (IOCAS), China
Duration: September 1, 2025 - Feb 28, 2026
Title: AI Coach for Tennis
2) EPSRC Early Career Researchers International Collaboration Grants (EP/Y002539/1) [PI, £205,694]
Duration: April 1, 2024 - March 31st, 2026
Title: Adaptive Multi-Source Transfer Learning Approaches for Environmental Challenges
3) UKFin+ Pilot Funding Scheme, UKRI [Co-I, £20,000]
Duration: April 1, 2024 - July 31, 2024.
Title: Unfed: Selective Forgetting in Federated Financial Applications.
Collaborator: advicerobo.com
4) The Leverhulme Trust Research Fellowship, Royal Academy of Engineering [PI, £57,500]
Duration: Oct. 1, 2022 - Sep. 30, 2023.
Title: Detecting and Anticipating Data Non-stationarity in Distributed Machine Learning
5) Industrial project with Siemens Energy Ltd [Co-I, £122k]
Title: IoT sensor network system for Space utilisation improvements
6) Royal Society International Exchange Project (IES\R1\211036) [PI, £12,000]
Duration: Aug 10, 2021-Aug 9, 2023.
Title: Modelling Oceanic Internal Waves with Machine Learning Approaches
7) Birmingham International Engagement Fund (BIEF), University of Birmingham, 2020. [PI, £5000]
Funding research: Oceanic Internal Wave Forecasting with Machine Learning Approaches, with Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences (IOCAS), China
Journal Editor
- Associate Editor of Pattern Analysis and Applications, Springer Nature, since July 2025.
- Editor of International Journal of Computational Intelligence and Applications
- Editor of PeerJ Computer Science
- Guest editor of special issue "AutoML for Non-Stationary Data", at journal IEEE Transactions on Artificial Intelligence, 2023-2024 (http://tai.amlnsd.com/).
- Guest editor of special issue "Imbalanced Learning", at journal Machine Learning (springer) , 2021-2023
- Guest editor of the Special Issue "Learning in the Presence of Class Imbalance and Concept Drift" at journal Neurocomputing.
- Guest editor of the Special Issue "Learning from Data Streams and Class Imbalance" at journal Connection Science.
Journal Reviewer
- IEEE Transactions on Neural Networks and Learning Systems
- IEEE Transactions on Knowledge and Data Engineering
- IEEE Access
- Neurocomputing
- International Journal of Energy Research
Other Recent Roles (Workshops and PC Members)
- Co-organizer of the 5th International Workshop on Learning with Imbalanced Domains: Theory and Applications, in conjunction with ECML/PKDD'23.
- Co-organizer of the 4th International Workshop on Learning with Imbalanced Domains: Theory and Applications, in conjunction with ECML/PKDD'22 (lidta.dcc.fc.up.pt) 8 full presentation papers + 6 short presentation papers out of 19 submissions
- Co-organizer of the 3rd International Workshop on Learning with Imbalanced Domains: Theory and Applications, in conjunction with ECML/PKDD'21 (lidta.dcc.fc.up.pt) 8 accepted paper out of 11 submissions
- Theme chair of QUATIC 2021, on Quality Aspects in Machine Learning, AI and Data Analytics (https://2021.quatic.org/thematic-tracks/machine-learning-ai-and-data-analytics) 5 accepted paper, 1 accepted short paper out of 15 submissions.
- PC member of IJCAI-PRICAI 2020, Yokohama, Japan. (https://ijcai20.org)
- PC member of QUATIC'2020 track on Quality Aspects in Machine Learning, AI and Data Analytics (https://2020.quatic.org/thematic-tracks/machine-learning-ai-and-data-analytics)
- The International Workshop on Adaptive and Deep Learning Approaches for Data Streams (ADLADS), in Conjunction with ICDM, Beijing, China, 2019. (https://iw-adlads.weebly.com/)
- The Workshop on Learning in the Presence of Class Imbalance and Concept Drift, in conjunction with International Joint Conference on Artificial Intelligence, Melbourne, Australia, 2017. (http://www.cercia.ac.uk/news/ijcai2017w/)
