Professor Hamid Bouchachia - Bournemouth University Staff Profile Pages

Professor Hamid Bouchachia - Bournemouth University Staff Profile Pages
Bournemouth University
Staff Profile Pages
Professor Hamid Bouchachia
01202 962401
abouchachia at bournemouth dot ac dot uk
Professor In Data Science and Intelligent Systems
Poole House P604, Talbot Campus, Fern Barrow, Poole, BH12 5BB
Keywords:
Assistive or enabling technologies
Computational intelligence
Machine learning
PhD Supervisor
Copy and share the URL for this profile:
Use a QR Code reader on a mobile device to add this person as a contact:
Biography
Research
Favourites
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.
..
He has published more than 140 papers in international journals and conferences and edited a dozen of volumes and special issues as guest editor. He organised a number of international events (conferences, workshops as well as special sessions). He founded the International Conference on Adaptive and Intelligent Systems (ICAIS). He serves as program committee member for numerous international conferences and Associate Editor of Evolving Systems and acts as member of Evolving Intelligent Systems (EIS) Technical Committee (TC) of the IEEE Systems, Man and Cybernetics Society, the IEEE Task-Force for Adaptive and Evolving Fuzzy Systems and the IEEE Computational Intelligence Society. He supervised 7 postdoctoral researchers and 12 PhD students to completion.
more
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
Jamil, W.
Bouchachia, A.
, 2021. Competitive Normalized Least-Squares Regression.
IEEE Transactions on Neural Networks and Learning Systems
, 32 (7), 3262-3267.
more information
view in BU repository
Pohl, D.,
Bouchachia, A.
, Hellwagner, H., 2020. Active Online Learning for Social Media Analysis to Support Crisis Management.
IEEE Transactions on Knowledge and Data Engineering
, 32 (8), 1445-1458.
more information
view in BU repository
Jamil, W.
Bouchachia, A.
, 2020. Competitive regularised regression.
Neurocomputing
, 390, 374-383.
more information
view in BU repository
Mohamad, S.,
Bouchachia, A.
, 2020. Deep online hierarchical dynamic unsupervised learning for pattern mining from utility usage data.
Neurocomputing
, 390, 359-373.
more information
view in BU repository
Mohamad, S., Sayed-Mouchaweh, M.,
Bouchachia, A.
, 2020. Online active learning for human activity recognition from sensory data streams.
Neurocomputing
, 390, 341-358.
more information
view in BU repository
Mohamad, S., Sayed-Mouchaweh, M.,
Bouchachia, A.
, 2018. Active learning for classifying data streams with unknown number of classes.
Neural Networks
, 98, 1-15.
more information
view in BU repository
Gama, J., Zliobaite, I., Bifet, A., Pechenizkiy, M.,
Bouchachia, A.
, 2014. A Survey on Concept Drift Adaptation.
ACM COMPUTING SURVEYS
, 46 (4).
more information
view in BU repository
Bouchachia, A.
, Lena, A., Vanaret, C., 2014. Online and interactive self-adaptive learning of user profile using incremental evolutionary algorithms.
Evolving Systems
, 5 (3), 143-157.
more information
Bouchachia, A.
, Vanaret, C., 2014. GT2FC: An online growing interval type-2 self-learning fuzzy classifier.
IEEE Transactions on Fuzzy Systems
, 22 (4), 999-1018.
more information
Bouchachia, A.
, 2011. Incremental learning with multi-level adaptation.
Neurocomputing
, 74, 1785-1799.
more information
Bouchachia, A.
, 2011. Fuzzy classification in dynamic environments.
Soft Comput.
, 15, 1009-1022.
more information
Bouchachia, A.
, 2010. An evolving classification cascade with self-learning.
Evolving Systems
, 1 (3), 143-160.
more information
Bouchachia, A.
, Mittermeir, R.T., 2007. Towards Incremental Fuzzy Classifiers.
Soft Comput.
, 11, 193-207.
more information
Bouchachia, A.
, 2007. Learning with partly labeled data.
Neural Comput. Appl.
, 16, 267-293.
more information
Bouchachia, A.
, Pedrycz, W., 2006. Data Clustering with Partial Supervision.
Data Min. Knowl. Discov.
, 12, 47-78.
more information
Bouchachia, A.
, Pedrycz, W., 2006. Enhancement of fuzzy clustering by mechanisms of partial supervision.
Fuzzy Sets Syst.
, 157, 1733-1759.
more information
Journal Articles
Books
Chapters
Conferences
Reports
Internet Publications
Theses
Journal Articles
Mansour, I.E.A.,
Bouchachia, A.
, 2026. Institutional Conditions for Digital Innovation and Transformation: A Contingent Framework for Smart Technology Adoption in Developing Nations.
Sustainability Switzerland
, 18 (6).
more information
Allaoui, M., Kherfi, M.L., Cheriet, A.,
Bouchachia, A.
, 2024. Unified embedding and clustering.
Expert Systems with Applications
, 238.
more information
view in BU repository
Khennour, M.E.,
Bouchachia, A.
, Kherfi, M.L., Bouanane, K., 2023. Randomising the Simple Recurrent Network: a lightweight, energy-efficient RNN model with application to forecasting problems.
Neural Computing and Applications
, 35 (27), 19707-19718.
more information
view in BU repository
Wang, Y., Wang, X., Arifoglu, D., Lu, C.,
Bouchachia, A.
, Geng, Y., Zheng, G., 2023. A Survey on Ambient Sensor-Based Abnormal Behaviour Detection for Elderly People in Healthcare.
Electronics Switzerland
, 12 (7).
more information
view in BU repository
Mohamad, S., Alamri, H.,
Bouchachia, A.
, 2022. Scaling up stochastic gradient descent for non-convex optimisation.
Machine Learning
, 111 (11), 4039-4079.
more information
view in BU repository
Jamil, W.
Bouchachia, A.
, 2022. Iterative ridge regression using the aggregating algorithm.
Pattern Recognition Letters
, 158, 34-41.
more information
view in BU repository
Jamil, W.
Bouchachia, A.
, 2021. Competitive Normalized Least-Squares Regression.
IEEE Transactions on Neural Networks and Learning Systems
, 32 (7), 3262-3267.
more information
view in BU repository
Pedrosa, J., Aresta, G., Ferreira, C., Atwal, G., Phoulady, H.A., Chen, X., Chen, R., Li, J., Wang, L., Galdran, A.,
Bouchachia, H.
, Kaluva, K.C., Vaidhya, K., Chunduru, A., Tarai, S., Nadimpalli, S.P.P., Vaidya, S., Kim, I., Rassadin, A., Tian, Z., Sun, Z., Jia, Y., Men, X., Ramos, I., Cunha, A., Campilho, A., 2021. LNDb challenge on automatic lung cancer patient management.
Medical Image Analysis
, 70.
more information
view in BU repository
Kyamakya, K., Al-Machot, F., Mosa, A.H.,
Bouchachia, H.
, Chedjou, J.C., Bagula, A., 2021. Emotion and stress recognition related sensors and machine learning technologies.
Sensors
, 21 (7).
more information
view in BU repository
Khalili, A.,
Bouchachia, H.
, 2021. An information theory approach to aesthetic assessment of visual patterns.
Entropy
, 23 (2), 1-17.
more information
view in BU repository
Anwary, A.R.,
Cetinkaya, D.
, Vassallo, M.,
Bouchachia, H.
, 2021. Smart-Cover: A real time sitting posture monitoring system.
Sensors and Actuators A Physical
, 317.
more information
view in BU repository
Arifoglu, D., Wang, Y.,
Bouchachia, A.
, 2021. Detection of dementia-related abnormal behaviour using recursive auto-encoders.
Sensors Switzerland
, 21 (1), 1-20.
more information
view in BU repository
van Teijlingen, A., Tuttle, T.,
Bouchachia, H.
, Sathian, B.,
van Teijlingen, E.
, 2020. Artificial Intelligence and Health in Nepal.
Nepal J Epidemiol
, 10 (3), 915-918.
more information
view in BU repository
Pohl, D.,
Bouchachia, A.
, Hellwagner, H., 2020. Active Online Learning for Social Media Analysis to Support Crisis Management.
IEEE Transactions on Knowledge and Data Engineering
, 32 (8), 1445-1458.
more information
view in BU repository
Jamil, W.
Bouchachia, A.
, 2020. Online Bayesian shrinkage regression.
Neural Computing and Applications
more information
view in BU repository
Jamil, W.
Bouchachia, A.
, 2020. Competitive regularised regression.
Neurocomputing
, 390, 374-383.
more information
view in BU repository
Mohamad, S.,
Bouchachia, A.
, 2020. Deep online hierarchical dynamic unsupervised learning for pattern mining from utility usage data.
Neurocomputing
, 390, 359-373.
more information
view in BU repository
Mohamad, S., Sayed-Mouchaweh, M.,
Bouchachia, A.
, 2020. Online active learning for human activity recognition from sensory data streams.
Neurocomputing
, 390, 341-358.
more information
view in BU repository
Arifoglu, D., Charif, H.N.,
Bouchachia, A.
, 2020. Detecting indicators of cognitive impairment via Graph Convolutional Networks.
Engineering Applications of Artificial Intelligence
, 89.
more information
view in BU repository
Arifoglu, D.,
Bouchachia, A.
, 2019. Detection of abnormal behaviour for dementia sufferers using Convolutional Neural Networks.
Artificial Intelligence in Medicine
, 94, 88-95.
more information
view in BU repository
Pohl, D.,
Bouchachia, A.
, Hellwagner, H., 2018. Batch-based active learning: Application to social media data for crisis management.
Expert Systems with Applications
, 93, 232-244.
more information
view in BU repository
Mohamad, S., Sayed-Mouchaweh, M.,
Bouchachia, A.
, 2018. Active learning for classifying data streams with unknown number of classes.
Neural Networks
, 98, 1-15.
more information
view in BU repository
Mohamad, S.,
Bouchachia, A.
, Sayed-Mouchaweh, M., 2018. A Bi-Criteria Active Learning Algorithm for Dynamic Data Streams.
IEEE Transactions on Neural Networks and Learning Systems
, 29 (1), 74-86.
more information
view in BU repository
Amiribesheli, M.
Bouchachia, A.
, 2018. A Tailored Smart Home for Dementia Care.
Journal of Ambient Intelligence and Humanized Computing
more information
de Jesús Rubio, J.,
Bouchachia, A.
, 2017. MSAFIS: an evolving fuzzy inference system.
Soft Computing
, 21 (9), 2357-2366.
more information
view in BU repository
Benmansour, A.,
Bouchachia, A.
, Feham, M., 2017. Modeling interaction in multi-resident activities.
Neurocomputing
, 230, 133-142.
more information
view in BU repository
Benmansour, A.,
Bouchachia, A.
, Feham, M., 2016. Multioccupant activity recognition in pervasive smart home environments.
ACM Computing Surveys
, 48 (3).
more information
view in BU repository
Pohl, D.,
Bouchachia, A.
, Hellwagner, H., 2015. Online indexing and clustering of social media data for emergency management.
Neurocomputing
, 172, 168-179.
more information
view in BU repository
Amiribesheli, M.
, Benmansour, A.,
Bouchachia, A.
, 2015. A review of smart homes in healthcare.
Journal of Ambient Intelligence and Humanized Computing
, 6 (4), 495-517.
more information
view in BU repository
Pohl, D.,
Bouchachia, A.
, Hellwagner, H., 2015. Social media for crisis management: clustering approaches for sub-event detection.
Multimedia Tools and Applications
, 74 (11).
more information
view in BU repository
Pohl, D.,
Bouchachia, A.
, Hellwagner, H., 2015. Social media for crisis management: clustering approaches for sub-event detection.
MULTIMEDIA TOOLS AND APPLICATIONS
, 74 (11), 3901-3932.
more information
Gama, J., Zliobaite, I., Bifet, A., Pechenizkiy, M.,
Bouchachia, A.
, 2014. A Survey on Concept Drift Adaptation.
ACM COMPUTING SURVEYS
, 46 (4).
more information
view in BU repository
Bouchachia, A.
, 2014. Online data processing.
NEUROCOMPUTING
, 126, 116-117.
more information
Bouchachia, A.
, Lena, A., Vanaret, C., 2014. Online and interactive self-adaptive learning of user profile using incremental evolutionary algorithms.
Evolving Systems
, 5 (3), 143-157.
more information
Bouchachia, A.
, Vanaret, C., 2014. GT2FC: An online growing interval type-2 self-learning fuzzy classifier.
IEEE Transactions on Fuzzy Systems
, 22 (4), 999-1018.
more information
Bouchachia, A.
, Lughofer, E., Sayed-Mouchaweh, M., 2014. Special issue: Evolving soft computing techniques and applications.
Applied Soft Computing Journal
, 14 (PART B), 1-3.
more information
Pohl, D.,
Bouchachia, A.
, Hellwagner, H., 2013. Supporting Crisis Management via Detection of Sub-Events in Social Networks.
International Journal of Information Systems for Crisis Response and Management
, 5 (3), 20-36.
more information
Bouchachia, A.
, Lughofer, E., Sanchez, D., 2013. Editorial of the special issue: Online fuzzy machine learning and data mining.
INFORMATION SCIENCES
, 220, 1-4.
more information
Bouchachia, A.
, 2012. Dynamic Clustering.
Evolving Systems
, 3 (3), 133-134.
more information
Bourouis, A., Feham, M.,
Bouchachia, A.
, 2012. A New Architecture of a Ubiquitous Health Monitoring System: A Prototype Of Cloud Mobile Health Monitoring System.
more information
Bouchachia, A.
, Nedjah, N., 2012. Introduction to the special section on self-adaptive systems: Models and algorithms.
ACM Transactions on Autonomous and Adaptive Systems
, 7 (1).
more information
Bourouis, A., Feham, M.,
Bouchachia, A.
, 2011. Ubiquitous Mobile Health Monitoring System for Elderly (UMHMSE).
International Journal of Computer Science & Information Technology (IJCSIT), Vol 3, No 3, June 2011
more information
Bouchachia, A.
, Prossegger, M., 2011. A hybrid ensemble approach for the Steiner tree problem in large graphs: A geographical application.
Appl. Soft Comput.
, 11, 5745-5754.
more information
Bouchachia, A.
, 2011. Incremental learning with multi-level adaptation.
Neurocomputing
, 74, 1785-1799.
more information
Bouchachia, A.
, Nedjah, N., 2011. Adaptive incremental learning in neural networks.
Neurocomputing
, 74, 1783-1784.
more information
Nedjah, N.,
Bouchachia, A.
, Mourelle, L.D.M., 2011. Editorial: Dedicated Hardware for Neural and Fuzzy Systems.
J. Circuits Syst. Comput.
, 20.
more information
Bouchachia, A.
, 2011. Fuzzy classification in dynamic environments.
Soft Comput.
, 15, 1009-1022.
more information
Nedjah, N.,
Bouchachia, A.
, Mourelle, L.D.M., 2010. Adaptive evolutionary computation: Special issue guest editors' preface.
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
, 6260 LNCS, IX-X.
more information
Nedjah, N.,
Bouchachia, A.H.
, Mourelle, L.M., 2010. Special issue of International Journal of Electronics on evolutionary synthesis of network-on-chip-based systems.
International Journal of Electronics
, 97 (10), 1137-1138.
more information
Bouchachia, A.
, 2010. An evolving classification cascade with self-learning.
Evolving Systems
, 1 (3), 143-160.
more information
Bouchachia, A.
, Mittermeir, R.T., Sielecky, P., Stafiej, S., Zieminski, M., 2010. Nature-inspired techniques for conformance testing of object-oriented software.
Appl. Soft Comput.
, 10, 730-745.
more information
Bouchachia, A.
, 2009. Radial basis function nets for time series prediction.
International Journal of Computational Intelligence Systems
, 2 (2), 147-157.
more information
Bouchachia, A.
, Kyamakya, K., 2009. Computational intelligence applied to nonlinear dynamics and synchronization.
International Journal of Computational Intelligence Systems
, 2 (2), 99-103.
more information
Bouchachia, A.
, 2009. Radial basis function nets for time series prediction.
International Journal of Computational Intelligence Systems
, 2 (2), 147-157.
more information
Hassler, M.,
Bouchachia, A.
, Mittermeir, R., 2008. XML Classification.
International Journal of Information Technology and Intelligent Computing
, 2 (4).
more information
Bouchachia, A.
, 2007. Learning with partly labeled data.
Neural Comput. Appl.
, 16, 267-293.
more information
Bouchachia, A.
, Mittermeir, R.T., 2007. Towards Incremental Fuzzy Classifiers.
Soft Comput.
, 11, 193-207.
more information
Bouchachia, A.
, Pedrycz, W., 2006. Data Clustering with Partial Supervision.
Data Min. Knowl. Discov.
, 12, 47-78.
more information
Bouchachia, A.
, Pedrycz, W., 2006. Enhancement of fuzzy clustering by mechanisms of partial supervision.
Fuzzy Sets Syst.
, 157, 1733-1759.
more information
Books
Pandey, H.
, Trovati, M.,
Bouchachia, H.
, Prasad, D., Agarwal, A.P., 2026.
Advances in Multimodal Large Language Models for Healthcare: Methods and Applications
. Morgan Kaufmann (Elsevier).
more information
Lotfi, A.,
Bouchachia, H.
, Gegov, A., Langensiepen, C., McGinnity, M., 2019.
Preface
more information
Lotfi, A.,
Bouchachia, H.
, Gegov, A., Langensiepen, C., 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.
more information
Bouchachia, A., 2014.
Proceedings of the Third International Conference on Adaptive and Intelligent Systems (ICAIS'14)
. Springer.
more information
Bouchachia, A.
, 2014.
Preface
more information
Proceedings of the 2nd International Conference on Adaptive and Intelligent Systems, ICAIS 2011, Klagenfurt, Austria, September 6-8, 2011.
. Springer.
more information
Computational Intelligence for Nonlinear Dynamics and Synchronization
. Atlantis Press.
more information
Proccedings of the 2009 International Conference on Adaptive and Intelligent Systems- ICAIS'2009
. IEEE Computer Press.
more information
Proceedings of the 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications - Workshops
. IEEE press.
more information
Chapters
Bouchachia, H.
, 2022. Fuzzy classifiers.
Handbook on Computer Learning and Intelligence
. 305-328.
more information
Sayed-Mouchaweh, M., Bifet, A.,
Bouchachia, A.
, Gama, J., Ribeiro, R.P., 2017. Preface.
Proceedings of the Workshop on IoT Large Scale Learning from Data Streams co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), Skopje, Macedonia, 18-22 Sep 2017
. IoT.
more information
view in BU repository
Sayed-Mouchaweh, M.,
Bouchachia, A.
, Gama, J., Ribeiro, R.P., 2017. Preface.
Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV 2016) & 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016)
. STREAMEVOLV.
more information
view in BU repository
Bouchachia, A.
, 2016. Fuzzy Classification.
Advances in Computational Intelligence
. Wordpress.
more information
Bouchachia, H.
Dogan, H.
Jiang, N.
, Giff, S., 2016. Human-centred design for intelligent environments.
more information
Bouchachia, A.
, 2016. Fuzzy Classifiers.
Handbook on Computational Intelligence in 2 Volumes
. 185-207.
more information
Pohl, D.,
Bouchachia, A.
, 2015. Information propagation in social networks during crises: A structural framework. 293-309.
more information
view in BU repository
Bouchachia, A.
, 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.
more information
Bouchachia, A.
, Prossegger, M., 2012. Incremental spectral clustering.
Learning in Non Stationary Environments Methods and Applications
. 77-99.
more information
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.
more information
Bouchachia, A.
, 2011. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface. V-VI.
more information
Bouchachia, A.
, 2011. Learning with partial supervision.
Machine Learning Concepts Methodologies Tools and Applications
. 1880-1888.
more information
Bouchachia, A.
, 2009. Computational Intelligence for Nonlinear Dynamical Systems.
Recent Advances of Computational Intelligence in Nonlinear Dynamics and Synchronization
. World Scientific, 13-17.
more information
Bouchachia, A.
, 2009. Incremental Learning.
In
: Wang, J., eds.
Encyclopedia of Data Warehousing and Mining
. IGI Global, 1006-1012.
more information
Bouchachia, A.
, 2009. Learning with Partial Supervision.
In
: Wang, J., eds.
Encyclopedia of Data Warehousing and Mining
. IGI Global, 1150-1157.
more information
Bouchachia, A.
, 2009. Adaptation in Classification Systems.
In
: Hassanien, A.E., Abraham, A., Herrera, F., eds.
Foundations of Computational Intelligence (2)
. Springer, 237-258.
more information
Conferences
Khennour, M.E.,
Bouchachia, A.
, Kherfi, M.L., Bouanane, K., Aiadi, O., 2024. Adapting Random Simple Recurrent Network for Online Forecasting Problems.
IEEE Conference on Evolving and Adaptive Intelligent Systems
more information
view in BU repository
Chirumalla, K., Dahlquist, E., Behnam, M., Sandström, K., Kurdve, M., Fattouh, A., Kulkov, I., Stefan, I.,
Bouchachia, H.
, 2024. Smart Battery Circularity: Towards Achieving Climate-Neutral Electrification.
IFIP Advances in Information and Communication Technology
, 728 IFIP, 187-201.
more information
Anwary, A.R., Arifoglu, D., Jones, M., Vassallo, M.,
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
more information
Mohamad, S.,
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.
more information
view in BU repository
Anwary, A.R., Vassallo, M.,
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
more information
Adhikari, K.,
Bouchachia, H.
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.
more information
Galdran, A.,
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.
more information
Mohamed, S.,
Bouchachia, A.
, Sayed-Mouchaweh, M., 2019. Asynchronous Stochastic Variational Inference.
In: INNS Big Data and Deep Learning 2019
16/04/2019 Genoa, Italy.
more information
view in BU repository
Arifoglu, D.,
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.
more information
view in BU repository
Jamil, W.
Bouchachia, A.
, 2019. Online Bayesian shrinkage regression.
Esann 2019 Proceedings 27th European Symposium on Artificial Neural Networks Computational Intelligence and Machine Learning
, 431-436.
more information
view in BU repository
Anwary, A.R.,
Bouchachia, H.
, Vassallo, M., 2019. Real time visualization of asymmetrical sitting posture.
Procedia Computer Science
, 155, 153-160.
more information
view in BU repository
Mansour, I.,
Bouchachia, A.
, 2018. Enhancement of LivCloud for live cloud migration.
In: 2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing
17/12/2018 Zurich.
more information
view in BU repository
Jamil, W.
, Duong, N.C., Wang, W., Mansouri, C., Mohamad, S.,
Bouchachia, A.
, 2018. Scalable online learning for flink: SOLMA library.
ACM International Conference Proceeding Series
more information
view in BU repository
Jamil, W.
Bouchachia, A.
, 2018. Model Selection in Online Learning for Times Series Forecasting.
In: 18th Annual UK Workshop on Computational Intelligence
05/09/2018 Nottingham, United Kingdom.
more information
view in BU repository
Mohamad, S., Arifoglu, D., Mansouri, C.,
Bouchachia, A.
, 2018. Deep Online Hierarchical Unsupervised Learning for Pattern Mining from Utility Usage Data.
In: 18th Annual UK Workshop on Computational Intelligence
05/09/2018 Nottingham, UK.
more information
view in BU repository
Adhikari, K.,
Bouchachia, H.
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.
more information
view in BU repository
Arifoglu, D.,
Bouchachia, A.
, 2017. Activity Recognition and Abnormal Behaviour Detection with Recurrent Neural Networks.
Procedia Computer Science
, 110, 86-93.
more information
view in BU repository
Jamil, W.
, Kaliniskan, Y.,
Bouchachia, H.
, 2017. Aggregation algorithm vs. Average for time series prediction.
Ceur Workshop Proceedings
, 2069.
more information
view in BU repository
Mohamad, S., Sayed-Mouchaweh, M.,
Bouchachia, A.
, 2017. Active learning for data streams under concept drift and concept evolution.
Ceur Workshop Proceedings
, 2069.
more information
view in BU repository
Arifoglu, D.,
Bouchachia, A.
, 2017. Activity Recognition and Abnormal Behaviour Detection with Recurrent Neural Networks.
Procedia Computer Science
, 110, 86-93.
more information
view in BU repository
Sayed-Mouchaweh, M., Bifet, A.,
Bouchachia, H.
, Gama, J., Ribeiro, R.P., 2017. Preface.
Ceur Workshop Proceedings
, 1958, i-ii.
more information
Sayed-Mouchaweh, M.,
Bouchachia, H.
, Gama, J., Ribeiro, R.P., 2017. Preface.
Ceur Workshop Proceedings
, 2069, i-ii.
more information
Mansour, I.,
Bouchachia, H.
, 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)
21/11/2017 Prague.
2017 IEEE 5TH INTERNATIONAL CONFERENCE ON FUTURE INTERNET OF THINGS AND CLOUD (FICLOUD 2017)
, 366-371.
more information
view in BU repository
Garcia, I., Casado, R.,
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.
more information
view in BU repository
Mansour, I.E.A., Cooper, K.,
Bouchachia, H.
, 2016. Effective live cloud migration.
Proceedings 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Ficloud 2016
, 334-339.
more information
Mansour, I., Cooper, K.,
Bouchachia, A.
, 2016. Effective Live Cloud Migration.
In: 2016 IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud 2016)
Vienna, Austria. IEEE.
more information
view in BU repository
Amiribesheli, M.
Bouchachia, A.
, 2016. Towards Dementia-Friendly Smart Homes.
Proceedings International Computer Software and Applications Conference
, 1, 638-647.
more information
view in BU repository
Amiribesheli, M.
, Hosseini, M.,
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
12/07/2016 Bournemouth.
more information
view in BU repository
Bouchachia, A.
Dogan, H.
Jiang, N.
, Giff, S., 2016. Human-Centred Design for Intelligent Environments: Preface to the proceedings of the workshop on Human Centred Design for Intelligent Environments.
In: 30th British HCI Group Annual Conference on People and Computers: Fusion
Bournemouth, UK. BCS:Chartered Institute for IT.
more information
view in BU repository
Raei, P.,
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.
more information
Amiribesheli, M.
, Hosseini, M.,
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.
more information
Mohamad, S.,
Bouchachia, A.
, Sayed-Mouchaweh, M., 2015. A non-parametric hierarchical clustering model.
2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems Eais 2015
more information
view in BU repository
Mohamad, S.,
Bouchachia, A.
, Sayed-Mouchaweh, M., 2015. A non-parametric hierarchical clustering model.
2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems Eais 2015
more information
view in BU repository
Benmansour, A.,
Bouchachia, A.
, 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.
more information
Amiribesheli, M.
Bouchachia, A.
, 2015. Smart Homes Design for People with Dementia.
Proceedings 2015 International Conference on Intelligent Environments Ie 2015
, 156-159.
more information
view in BU repository
Bouchachia, A.
, Ortner, A., 2014. Self-learning recursive neural networks for structured data classification.
Proceedings of the International Joint Conference on Neural Networks
, 808-815.
more information
Prossegger, M.,
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.
more information
Bouchachia, A.
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.
more information
Prossegger, M.,
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.
more information
Pohl, D.,
Bouchachia, A.
, Hellwagner, H., 2013. Online Processing of Social Media Data for Emergency Management.
In: International conference on Machine Learning and Applications
04/12/2013 Miami, Florida, USA.
more information
Rafati-Afshar, A.
Bouchachia, A.
, 2013. An Empirical Investigation of Virtual Screenning.
In: IEEE International Conference on Systems, Man, and Cybernetics
13/10/2013 Manchester.
more information
Abderrahim Bourouis, Ali Zerdazi, Mohammed Feham, Abdelhamid Bouchachia, 2013. M-Health: Skin Disease Analysis System Using Smartphone's Camera.
In: Ambient Systems, Networks and Technologies
25/06/2013 Halifax, Nova Scotia, Canada.
Elsevier 2013 Procedia Computer Science
more information
Pohl, D.,
Bouchachia, A.
, Hellwagner, H., 2012. Automatic sub-event detection in emergency management using social media.
WWW (Companion Volume)
, 683-686 ACM.
more information
Pohl, D.,
Bouchachia, A.
, Hellwagner, H., 2012. Supporting Crisis Management via Sub-event Detection in Social Networks.
WETICE
, 373-378 IEEE Computer Society.
more information
Pohl, D.,
Bouchachia, A.
, Hellwagner, H., 2012. Automatic Identification of Crisis-Related Sub-events Using Clustering.
ICMLA (2)
, 333-338 IEEE.
more information
Bouchachia, A.
, 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.
more information
Prossegger, M.,
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.
more information
Bouchachia, A.
, Prossegger, M., Duman, H., 2010. Semi-supervised incremental learning.
2010 IEEE World Congress on Computational Intelligence Wcci 2010
more information
Prossegger, M.,
Bouchachia, A.
, 2009. Incremental identification of topological errors in spatial data.
2009 17th International Conference on Geoinformatics Geoinformatics 2009
more information
Bouchachia, A.
, 2009. Incremental induction of fuzzy classification rules.
2009 IEEE Workshop on Evolving and Self Developing Intelligent Systems Esdis 2009 Proceedings
, 32-39.
more information
Bouchachia, A.
, Prossegger, M., 2009. A Bi-Clustering Agent-based Approach for Map Segmentation.
IEEE IA
, 99-105 IEEE.
more information
Prossegger, M.,
Bouchachia, A.
, 2008. Ant colony optimization for Steiner tree problems.
CSTST
, 331-336 ACM.
more information
Bouchachia, A.
, 2007. Clustering of multi-source data.
Iet Conference Publications
, 317-324.
more information
Sahel, Z.,
Bouchachia, A.
, Gabrys, B., Rogers, P., 2007. Adaptive Mechanisms for Classification Problems with Drifting Data. , 419-426 Berlin: Springer.
more information
Bouchachia, A.
, Gabrys, B., Sahel, Z., 2007. Overview of Some Incremental Learning Algorithms.
In: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'2007): Proceedings
23/07/2007 London. , 1-6 London, UK, July 2007.
more information
Bouchachia, A.
, Hassler, M., 2007. Classification of XML Documents.
CIDM
, 390-396 IEEE.
more information
Bouchachia, A.
, 2007. An Immune Genetic Algorithm for Software Test Data Generation.
HIS
, 84-89 IEEE Computer Society.
more information
Bouchachia, A.
, Gabrys, B., Sahel, Z., 2007. Overview of some incremental learning algorithms.
2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4
, 1811-+.
more information
Bouchachia, A.
, 2006. Incremental Learning By Decomposition.
ICMLA
, 63-68 IEEE Computer Society.
more information
Bouchachia, A.
, 2006. Learning with Incrementality.
ICONIP (1)
, 4232, 137-146 Springer.
more information
Bouchachia, A.
, Wakounig, D., 2006. Reverse Engineering of Rule-based Systems.
SEKE
, 45-50.
more information
Bouchachia, A.
, 2005. On the Scarcity of Labeled Data.
CIMCA/IAWTIC
, 402-407 IEEE Computer Society.
more information
Bouchachia, A.
, 2005. Learning with Hybrid Data.
HIS
, 193-200 IEEE Computer Society.
more information
Hassler, M.,
Bouchachia, A.
, 2005. Searching XML Documents - Preliminary Work.
INEX
, 3977, 119-133 Springer.
more information
Bouchachia, A.
, 2004. Multiple Instance Learning with Radial Basis Function Neural Networks.
ICONIP
, 3316, 440-445 Springer.
more information
Bouchachia, A.
, Mittermeir, R., 2003. A Neural Cascade Architecture for Document Retrieval.
Proceedings of the International Joint Conference on Neural Networks
, 3, 1915-1920.
more information
Bouchachia, A.
, 2003. Distributed Data Clustering.
CAiSE Short Paper Proceedings
, 74 CEUR-WS.org.
more information
Bouchachia, A.
, Pedrycz, W., 2003. A Semi-supervised Clutsering Algorithm for Data Exploration.
IFSA
, 2715, 328-337 Springer.
more information
Bouchachia, A.
, Mittermeir, R.T., Pozewaunig, H., 2000. Document Identification by Shallow Semantic Analysis.
NLDB
, 1959, 190-202 Springer.
more information
Reports
Mohamad, S.,
Bouchachia, A.
, Sayed-Mouchaweh, M., 2018.
Asynchronous Stochastic Variational Inference
. arXiv.
more information
view in BU repository
Internet Publications
Bouchachia, A.
Home Page
more information
Theses
Amiribesheli, M.
Bouchachia, H.
, 2018. A tailored smart home for dementia care.
more information
view in BU repository
view in BU repository
PhD Students
Profile of Teaching PG
Profile of Teaching UG
Invited Lectures
PhD Students
Kripesh Adhikari.
Computer Vision Based Abnormal Activities Detection For Elderly People Living Alone
Mohsen Amiribesheli.
Smart homes for people with Dementia
Alejandro Tabas.
Cortical dynamics of pitch processing
Waqas Jamil.
Online Learning for Data Streams
Damla Arifoglu.
Analysis of Behavioural Patterns in Ambient Intelligent Environments
Ibrahim Mansour.
Effective Live Cloud Migration
Saad Mohamad.
Active Learning for Data Streaming
Anupama Patil.
Sampling Strategies for Data Streams
Kamrul Islam.
Tourism Demand Forecasting with Big Data Analytics
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
Keynote Speech at the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2015
Grants
Grants
FRAME: A Model-Based Foundry for Engineering, Adapting, and Assuring the Quality of AI Agents (European Commission, 01 Jul 2026). Awarded
PRESERVE: Ethical and Privacy-preserving Big Data platform for Supporting criminal investigations (European Commission, 01 Aug 2024). In Progress
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
Honours
Memberships
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 Systems, Man and Cybernetics Society, Member of Evolving Systems Technical Committee,
IEEE Computational Intelligence Society., Task-force for Adaptive and Evolving Systems,
Website Links
Website Links
Overview
Publications
Teaching
Grants
Affiliations & Background
Media, Social Media & Networking
The data on this page was last updated at 22:22 on April 23, 2026.