Hamid Bouchachia

Professor Hamid Bouchachia

  • Professor In Data Science and Intelligent Systems
  • Poole House P258, Talbot Campus, Fern Barrow, Poole, BH12 5BB
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Biography

Hamid (Abdelhamid) Bouchachia is Professor of Data Science and Intelligent Systems, leading the Machine Intelligence Research Group, Department of Computing and Informatics, Faculty of Science and Technology, UK. He is holder of an Engineering degree, Master, Ph.D and a habilitation degree. He was also a Post Doc at the University of Alberta, Department of Computer and Electrical Engineering, Edmonton, Canada.

His research encompasses various topics of Artificial intelligence and Data Science and their applications (Ubiquitous health and medical science, smart environments and industrial monitoring; smart energy; smart agriculture, assistive technologies and pattern recognition, in particular, scalable machine learning and distributed artificial intelligence, scalable online, active, semi-supervised learning for data streams, scalable pattern recognition including deep learning and hierarchical (graphical) models, reasoning and decision making and big data technologies and high-performance computing for machine learning...

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Research

Hamid is currently working some major topics in relation to the theory and application of AI/ML and Data Science: (1) Scalable machine learning for data streams (active, semi-supervised, representation, etc.) (2) Medical imaging using ML (3) Smart Environments with focus on Smart Montoring (smart homes, industrial monitoring, etc.) 4) Assistive technologies

Favourites

Journal Articles

Books

  • Lotfi, A., Bouchachia, H., Gegov, A., Langensiepen, C. and McGinnity, M., 2019. Preface.
  • Lotfi, A., Bouchachia, H., Gegov, A., Langensiepen, C. and McGinnity, M., 2018. Advances in Computational Intelligence Systems Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK. Springer.
  • Bouchachia, A., 2014. Proceedings of the Third International Conference on Adaptive and Intelligent Systems (ICAIS'14). Springer.
  • Bouchachia, A., 2014. Preface.
  • Proceedings of the 2nd International Conference on Adaptive and Intelligent Systems, ICAIS 2011, Klagenfurt, Austria, September 6-8, 2011.. Springer.
  • Computational Intelligence for Nonlinear Dynamics and Synchronization. Atlantis Press.
  • Proccedings of the 2009 International Conference on Adaptive and Intelligent Systems- ICAIS'2009. IEEE Computer Press.
  • Proceedings of the 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications - Workshops. IEEE press.

Chapters

  • Bouchachia, H., 2022. Fuzzy classifiers. Handbook On Computer Learning And Intelligence. 305-328.
  • Bouchachia, A., 2016. Fuzzy Classification. Advances in Computational Intelligence. Wordpress.
  • Bouchachia, H., Dogan, H., Jiang, N. and Giff, S., 2016. Human-centred design for intelligent environments.
  • Bouchachia, A., 2016. Fuzzy Classifiers. Handbook On Computational Intelligence (In 2 Volumes). 185-207.
  • Pohl, D. and Bouchachia, A., 2015. Information propagation in social networks during crises: A structural framework. 293-309.
  • Bouchachia, A. and Pohl, D., 2013. Financial Time Series Processing: A Roadmap of Online and Offline Methods. Business Intelligence and Performance Management. , Book chapter in “”, pp 145–162, 2013, Springer. [: Springer, 145-162.
  • Bouchachia, A. and Prossegger, M., 2012. Incremental spectral clustering. Learning in Non-Stationary Environments: Methods and Applications. 77-99.
  • Balaguer-Ballester E., Bouchachia, H, Jiang, B. and Denham, SL, 2012. Neurodynamical Top-Down Processing during Auditory Attention. Lecture Notes in Computer Science. Springer, In press.
  • Bouchachia, A., 2011. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface.
  • Bouchachia, A., 2009. Computational Intelligence for Nonlinear Dynamical Systems. Recent Advances of Computational Intelligence in Nonlinear Dynamics and Synchronization. World Scientific, 13-17.
  • Bouchachia, A., 2009. Incremental Learning. In: Wang, J., ed. Encyclopedia of Data Warehousing and Mining. IGI Global, 1006-1012.
  • Bouchachia, A., 2009. Learning with Partial Supervision. In: Wang, J., ed. Encyclopedia of Data Warehousing and Mining. IGI Global, 1150-1157.
  • Bouchachia, A., 2009. Adaptation in Classification Systems. In: Hassanien, A.E., Abraham, A. and Herrera, F., eds. Foundations of Computational Intelligence (2). Springer, 237-258.

Conferences

  • Khennour, M.E., Bouchachia, A., Kherfi, M.L., Bouanane, K. and Aiadi, O., 2024. Adapting Random Simple Recurrent Network for Online Forecasting Problems. IEEE Conference on Evolving and Adaptive Intelligent Systems.
  • Chirumalla, K., Dahlquist, E., Behnam, M., Sandström, K., Kurdve, M., Fattouh, A., Kulkov, I., Stefan, I. and Bouchachia, H., 2024. Smart Battery Circularity: Towards Achieving Climate-Neutral Electrification. IFIP Advances in Information and Communication Technology, 728 IFIP, 187-201.
  • Anwary, A.R., Arifoglu, D., Jones, M., Vassallo, M. and Bouchachia, H., 2021. Insole-based Real-time Gait Analysis: Feature Extraction and Classification. INERTIAL 2021 - 8th IEEE International Symposium on Inertial Sensors and Systems, Proceedings.
  • Mohamad, S. and Bouchachia, A., 2020. Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data. Proceedings - 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, 41-48.
  • Anwary, A.R., Vassallo, M. and Bouchachia, H., 2020. Monitoring of Prolonged and Asymmetrical Posture to Improve Sitting Behavior. 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy, ICDABI 2020.
  • Adhikari, K., Bouchachia, H. and Nait-Charif, H., 2020. Long short-term memory networks based fall detection using unified pose estimation. Proceedings of SPIE - The International Society for Optical Engineering, 11433.
  • Galdran, A. and Bouchachia, H., 2020. Residual networks for pulmonary nodule segmentation and texture characterization. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12132 LNCS, 396-405.
  • Mohamed, S., Bouchachia, A. and Sayed-Mouchaweh, M., 2019. Asynchronous Stochastic Variational Inference. In: INNS Big Data and Deep Learning 2019 16-18 April 2019 Genoa, Italy.
  • Arifoglu, D. and Bouchachia, A., 2019. Abnormal Behaviour Detection for Dementia Sufferers via Transfer Learning and Recursive Auto-Encoders. 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019, 529-534.
  • Jamil, W. and Bouchachia, A., 2019. Online Bayesian shrinkage regression. ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 431-436.
  • Anwary, A.R., Bouchachia, H. and Vassallo, M., 2019. Real time visualization of asymmetrical sitting posture. Procedia Computer Science, 155, 153-160.
  • Mansour, I. and Bouchachia, A., 2018. Enhancement of LivCloud for live cloud migration. In: 2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing 17-20 December 2018 Zurich.
  • Jamil, W., Duong, N.C., Wang, W., Mansouri, C., Mohamad, S. and Bouchachia, A., 2018. Scalable online learning for flink: SOLMA library. ACM International Conference Proceeding Series.
  • Jamil, W. and Bouchachia, A., 2018. Model Selection in Online Learning for Times Series Forecasting. In: 18th Annual UK Workshop on Computational Intelligence 5-7 September 2018 Nottingham, United Kingdom.
  • Mohamad, S., Arifoglu, D., Mansouri, C. and Bouchachia, A., 2018. Deep Online Hierarchical Unsupervised Learning for Pattern Mining from Utility Usage Data. In: 18th Annual UK Workshop on Computational Intelligence 5-7 September 2018 Nottingham, UK.
  • Adhikari, K., Bouchachia, H. and Nait-Charif, H., 2017. Activity recognition for indoor fall detection using convolutional neural network. Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017, 81-84.
  • Arifoglu, D. and Bouchachia, A., 2017. Activity Recognition and Abnormal Behaviour Detection with Recurrent Neural Networks. Procedia Computer Science, 110, 86-93.
  • Jamil, W., Kaliniskan, Y. and Bouchachia, H., 2017. Aggregation algorithm vs. Average for time series prediction. CEUR Workshop Proceedings, 2069.
  • Mohamad, S., Sayed-Mouchaweh, M. and Bouchachia, A., 2017. Active learning for data streams under concept drift and concept evolution. CEUR Workshop Proceedings, 2069.
  • Arifoglu, D. and Bouchachia, A., 2017. Activity Recognition and Abnormal Behaviour Detection with Recurrent Neural Networks. Procedia Computer Science, 110, 86-93.
  • Mansour, I., Bouchachia, H. and Cooper, K., 2017. Exploring Live Cloud Migration On Amazon EC2. In: Published in: 2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud) 21-23 November 2017 Prague. 2017 IEEE 5TH INTERNATIONAL CONFERENCE ON FUTURE INTERNET OF THINGS AND CLOUD (FICLOUD 2017), 366-371.
  • Sayed-Mouchaweh, M., Bifet, A., Bouchachia, H., Gama, J. and Ribeiro, R.P., 2017. Preface. CEUR Workshop Proceedings, 1958, i-ii.
  • Sayed-Mouchaweh, M., Bouchachia, H., Gama, J. and Ribeiro, R.P., 2017. Preface. CEUR Workshop Proceedings, 2069, i-ii.
  • Garcia, I., Casado, R. and Bouchachia, A., 2016. An incremental approach for real-time big data visual analytics. Proceedings - 2016 4th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2016, 177-182.
  • Mansour, I.E.A., Cooper, K. and Bouchachia, H., 2016. Effective live cloud migration. Proceedings - 2016 IEEE 4th International Conference on Future Internet of Things and Cloud, FiCloud 2016, 334-339.
  • Amiribesheli, M. and Bouchachia, A., 2016. Towards Dementia-Friendly Smart Homes. Proceedings - International Computer Software and Applications Conference, 1, 638-647.
  • Amiribesheli, M., Hosseini, M. and Bouchachia, A., 2016. A User-Centred Principle Based Transparency Approach for Intelligent Environments. In: Human Centred Design for Intelligent Environments Workshop at British HCI Conference 12 July 2016 Bournemouth.
  • Raei, P. and Bouchachia, A., 2016. A literature review on the design of smart homes for people with dementia using a user-centred design approach. Proceedings of the 30th International BCS Human Computer Interaction Conference, HCI 2016, 2016-July.
  • Amiribesheli, M., Hosseini, M. and Bouchachia, H., 2016. A principle-based transparency framework for intelligent environments. Proceedings of the 30th International BCS Human Computer Interaction Conference, HCI 2016, 2016-July.
  • Mohamad, S., Bouchachia, A. and Sayed-Mouchaweh, M., 2015. A non-parametric hierarchical clustering model. 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2015.
  • Benmansour, A., Bouchachia, A. and Feham, M., 2015. Human activity recognition in pervasive single resident smart homes: State of art. 12th International Symposium on Programming and Systems, ISPS 2015, 276-284.
  • Amiribesheli, M. and Bouchachia, A., 2015. Smart Homes Design for People with Dementia. Proceedings - 2015 International Conference on Intelligent Environments, IE 2015, 156-159.
  • Bouchachia, A. and Ortner, A., 2014. Self-learning recursive neural networks for structured data classification. Proceedings of the International Joint Conference on Neural Networks, 808-815.
  • Prossegger, M. and Bouchachia, A., 2014. Multi-resident activity recognition using incremental decision trees. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8779 LNAI, 182-191 Springer Verlag.
  • Prossegger, M. and Bouchachia, A., 2014. Multi-resident activity recognition using incremental decision trees. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8779 LNAI, 182-191.
  • Bouchachia, A. and Balaguer-Ballester, E., 2014. DELA: A dynamic online ensemble learning algorithm. 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings, 491-496.
  • Pohl, D., Bouchachia, A. and Hellwagner, H., 2013. Online Processing of Social Media Data for Emergency Management. In: International conference on Machine Learning and Applications 4-7 December 2013 Miami, Florida, USA.
  • Rafati-Afshar, A. and Bouchachia, A., 2013. An Empirical Investigation of Virtual Screenning. In: IEEE International Conference on Systems, Man, and Cybernetics 13-16 October 2013 Manchester.
  • Abderrahim Bourouis, Ali Zerdazi, Mohammed Feham and Abdelhamid Bouchachia, 2013. M-Health: Skin Disease Analysis System Using Smartphone's Camera. In: Ambient Systems, Networks and Technologies 25 June-28 October 2013 Halifax, Nova Scotia, Canada. Elsevier 2013 Procedia Computer Science.
  • Pohl, D., Bouchachia, A. and Hellwagner, H., 2012. Automatic sub-event detection in emergency management using social media. WWW (Companion Volume), 683-686 ACM.
  • Pohl, D., Bouchachia, A. and Hellwagner, H., 2012. Supporting Crisis Management via Sub-event Detection in Social Networks. WETICE, 373-378 IEEE Computer Society.
  • Pohl, D., Bouchachia, A. and Hellwagner, H., 2012. Automatic Identification of Crisis-Related Sub-events Using Clustering. ICMLA (2), 333-338 IEEE.
  • Bouchachia, A. and Vanaret, C., 2011. Incremental learning based on growing Gaussian mixture models. Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011, 2, 47-52.
  • Prossegger, M. and Bouchachia, A., 2011. Incremental semi-automatic correction of misclassified spatial objects. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6943 LNAI, 16-25.
  • Bouchachia, A., Prossegger, M. and Duman, H., 2010. Semi-supervised incremental learning. 2010 IEEE World Congress on Computational Intelligence, WCCI 2010.
  • Prossegger, M. and Bouchachia, A., 2009. Incremental identification of topological errors in spatial data. 2009 17th International Conference on Geoinformatics, Geoinformatics 2009.
  • Bouchachia, A., 2009. Incremental induction of fuzzy classification rules. 2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems, ESDIS 2009 - Proceedings, 32-39.
  • Bouchachia, A. and Prossegger, M., 2009. A Bi-Clustering Agent-based Approach for Map Segmentation. IEEE IA, 99-105 IEEE.
  • Prossegger, M. and Bouchachia, A., 2008. Ant colony optimization for Steiner tree problems. CSTST, 331-336 ACM.
  • Bouchachia, A., 2007. Clustering of multi-source data. IET Conference Publications, 317-324.
  • Sahel, Z., Bouchachia, A., Gabrys, B. and Rogers, P., 2007. Adaptive Mechanisms for Classification Problems with Drifting Data. , 419-426 Berlin: Springer.
  • Bouchachia, A., Gabrys, B. and Sahel, Z., 2007. Overview of Some Incremental Learning Algorithms. In: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'2007): Proceedings 23-26 July 2007 London. , 1-6 London, UK, July 2007.
  • Bouchachia, A. and Hassler, M., 2007. Classification of XML Documents. CIDM, 390-396 IEEE.
  • Bouchachia, A., 2007. An Immune Genetic Algorithm for Software Test Data Generation. HIS, 84-89 IEEE Computer Society.
  • Bouchachia, A., Gabrys, B. and Sahel, Z., 2007. Overview of some incremental learning algorithms. 2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4, 1811-+.
  • Bouchachia, A., 2006. Incremental Learning By Decomposition. ICMLA, 63-68 IEEE Computer Society.
  • Bouchachia, A., 2006. Learning with Incrementality. ICONIP (1), 4232, 137-146 Springer.
  • Bouchachia, A. and Wakounig, D., 2006. Reverse Engineering of Rule-based Systems. SEKE, 45-50.
  • Bouchachia, A., 2005. On the Scarcity of Labeled Data. CIMCA/IAWTIC, 402-407 IEEE Computer Society.
  • Bouchachia, A., 2005. Learning with Hybrid Data. HIS, 193-200 IEEE Computer Society.
  • Hassler, M. and Bouchachia, A., 2005. Searching XML Documents - Preliminary Work. INEX, 3977, 119-133 Springer.
  • Bouchachia, A., 2004. Multiple Instance Learning with Radial Basis Function Neural Networks. ICONIP, 3316, 440-445 Springer.
  • Bouchachia, A. and Mittermeir, R., 2003. A Neural Cascade Architecture for Document Retrieval. Proceedings of the International Joint Conference on Neural Networks, 3, 1915-1920.
  • Bouchachia, A., 2003. Distributed Data Clustering. CAiSE Short Paper Proceedings, 74 CEUR-WS.org.
  • Bouchachia, A. and Pedrycz, W., 2003. A Semi-supervised Clutsering Algorithm for Data Exploration. IFSA, 2715, 328-337 Springer.
  • Bouchachia, A., Mittermeir, R.T. and Pozewaunig, H., 2000. Document Identification by Shallow Semantic Analysis. NLDB, 1959, 190-202 Springer.

Reports

Internet Publications

Theses

PhD Students

  • Alejandro Tabas. Cortical dynamics of pitch processing
  • Anupama Patil. Sampling Strategies for Data Streams
  • Damla Arifoglu. Analysis of Behavioural Patterns in Ambient Intelligent Environments
  • Ibrahim Mansour. Effective Live Cloud Migration
  • Kamrul Islam. Tourism Demand Forecasting with Big Data Analytics
  • Kripesh Adhikari. Computer Vision Based Abnormal Activities Detection For Elderly People Living Alone
  • Mohsen Amiribesheli. Smart homes for people with Dementia
  • Saad Mohamad. Active Learning for Data Streaming
  • Waqas Jamil. Online Learning for Data Streams

Profile of Teaching PG

  • Big Data and Cloud Computing
  • Web mining and Analytics
  • Long experience in teaching various units/subjects under different computer science areas: Knolwedge engineering and artificial intelliegence, pattern recognition, machine learning and data mining, information retrieval, software engineering, algorithmics and programming.

Profile of Teaching UG

  • Similar to Profile of Teaching PG.

Invited Lectures

  • Active online learning, Douai, France, 01 Dec 2015 more

Grants

  • PRESERVE: Ethical and Privacy-preserving Big Data platform for Supporting criminal investigations (European Commission, 01 Aug 2024). Awarded
  • ARTEMIS: AcceleRating the Translation of virtual twins towards a pErsonalised Management of fatty lIver patients (European Commission, 02 Jan 2024). In Progress
  • ExtremeXP: EXPerimentation driven and user eXPerience oriented analytics for eXtremely Precise outcomes and decisions (European Commission, 01 Jan 2023). In Progress
  • High Frequency Appliance Disaggregation Analysis (Energy Technologies Institute - ETI, UK, 01 Nov 2017). In Progress
  • Analysis of Behavioural Patterns in Ambient Intelligent Environments (Bournemouth University, 04 Jan 2016). Awarded
  • PROTEUS: Scalable online machine learning for predictive analytics and real-time interactive visualization (European Commission, 01 Dec 2015). Completed
  • Towards Adapted Telecare Solutions for Elderly (RevoCom Ltd and Bournemouth University, 01 Oct 2015). Awarded
  • Soft Sensors for Complex Environments (Ecole des Mines, Douai (France) and Bournemouth University, 01 Jul 2014). Awarded
  • Cortical dynamics of pitch processing (Bournemouth University, 01 Oct 2013). Awarded
  • Adapted Home Environments for People with Dementia (Bournemouth University, 16 Sep 2013). In Progress
  • BRIDGE: Bridging resources and agencies in large-scale emergency management (EU, 01 Apr 2011). Completed
  • Online Fuzzy Classifiers (University of Klagenfurt, 15 Feb 2011). Completed
  • Regularized Semi-Supervised Fuzzy Clustering (University of Klagenfurt, 15 Feb 2011). Completed
  • CASA: Carinthian Association of Smart Ambience (The Austrian Research Promotion Agency (FFG), 01 Jun 2010). In Progress
  • Conference on Adaptive and Intelligent Systems (Ministry of Science and Research, 01 Feb 2009). Completed
  • SERENE (University of Klagenfurt, 15 Apr 2008). Completed
  • CRISTEL: Programme de Recomversion d’Ingenieur et Scientifiques aux Technologies du Logiciel (EU - TEMPUS-MEDA, 01 Dec 2003). Completed
  • Semi-Supervised Fuzzy Clustering (University of Alberta, Edmonton, Canada, 01 Nov 2001). Completed
  • Natural Language based Software Retrieval (University of Klagenfurt, Verein der Freunde der Informatik, 01 Oct 1998). Completed

Qualifications

  • Habilitation in Computer Science(Advanced Soft Computing) (2007)
  • PhD in Computer Science (Information Retrieval) (2001)
  • MSc in Computer Science (Natural Language Interfaces) (1997)
  • Engineering Degree (Ingéniorat D'Etat) in Computer Science (Speech recognition) (1992)

Honours

  • Associate editor (Evolving systems journal, 2010)

Memberships

  • ACM, (Member) (2008-),
  • IEEE, (Senior Member) (2001-),
  • IEEE Computational Intelligence Society., Task-force for Adaptive and Evolving Systems,
  • IEEE Systems, Man and Cybernetics Society, Member of Evolving Systems Technical Committee,