Hamid Bouchachia

Professor Hamid Bouchachia

  • 01202 962401
  • abouchachia at bournemouth dot ac dot uk
  • Professor in Data Science & Intelligent Systems
  • Poole House P258, Talbot Campus, Fern Barrow, Poole, BH12 5BB
Back to top

Biography

Abdelhamid Bouchachia is Professor at Bournemouth University, leading the Machine Intelligence Research Group, Department of Computing and Informatics, Faculty of Science and Technology, UK. Abdelhamid received the Engineering degree and Master in Informatics, respectively from the University of Oran and the University of Sciences and Technology, Oran, Algeria, and the Ph.D. degree in Informatics from the University of Klagenfurt, Austria. In 2001 he spent one year as post-doc at the University of Alberta, Department of Computer and Electrical Engineering, Edmonton, Canada.

His research interests cover Machine Learning, Data Mining, Computational Intelligence, Ambient Intelligence and Telecare. He published more than 110 papers in international journals and conferences. He edited dozen of volumes and special issues. He founded the International Conference on Adaptive and Intelligent Systems (ICAIS). He serves as program committee member for numerous international conferences. He also serves as 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.

Research

Hamid's has been working on data analytics with major interest in include Machine Learning, Data Mining, Computational Intelligence, Ambient Intelligence and Telecare. He focuses in particular on online/incremental learning, active and semi-supervised learning, activity recogntion, time series analysis, and uncertainty modeling with a large spectrum of innovative applications.

Hamid is currently working three major topics: (1) machine learning for data streams in relation to the H2020 PROTEUS project on big data titled "Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization", (2) Telecare with focus on Dementia and Autism applications (3) Smart Environments with focus on Smart Homes and particulaly on activity recognition.

Favourites

  • Mohamad, S., Bouchachia, A. and Sayed-Mouchaweh, M., 2016. A Bi-Criteria Active Learning Algorithm for Dynamic Data Streams. IEEE Transactions on Neural Networks and Learning Systems.
  • Gama, J., Zliobaite, I., Bifet, A., Pechenizkiy, M. and Bouchachia, A., 2014. A Survey on Concept Drift Adaptation. ACM COMPUTING SURVEYS, 46 (4).
  • Bouchachia, A., Lena, A. and Vanaret, C., 2014. Online and interactive self-adaptive learning of user profile using incremental evolutionary algorithms. Evolving Systems, 5 (3), 143-157.
  • Bouchachia, A. and Vanaret, C., 2014. GT2FC: An online growing interval type-2 self-learning fuzzy classifier. IEEE Transactions on Fuzzy Systems, 22 (4), 999-1018.
  • Bouchachia, A., 2011. Fuzzy classification in dynamic environments. Soft Comput., 15, 1009-1022.
  • Bouchachia, A., 2011. Incremental learning with multi-level adaptation. Neurocomputing, 74, 1785-1799.
  • Bouchachia, A., 2010. An evolving classification cascade with self-learning. Evolving Systems, 1 (3), 143-160.
  • Bouchachia, A., 2007. Learning with partly labeled data. Neural Computing and Applications, 16, 267-293.
  • Bouchachia, A. and Mittermeir, R., 2007. Towards Incremental Fuzzy Classifiers. Soft Comput., 11, 193-207.
  • Bouchachia, A. and Pedrycz, W., 2006. Data Clustering with Partial Supervision. Data Min. Knowl. Discov., 12, 47-78.
  • Bouchachia, A. and Pedrycz, W., 2006. Enhancement of fuzzy clustering by mechanisms of partial supervision. Fuzzy Sets and Systems, 157, 1733-1759.

Journal Articles

  • Mohamad, S., Bouchachia, A. and Sayed-Mouchaweh, M., 2016. A Bi-Criteria Active Learning Algorithm for Dynamic Data Streams. IEEE Transactions on Neural Networks and Learning Systems.
  • Benmansour, A., Bouchachia, A. and Feham, M., 2016. Modeling Interaction in Multi-Resident Activities. Neurocomputing, In press.
  • Benmansour, A., Bouchachia, A. and Feham, M., 2015. Multioccupant Activity Recognition in Pervasive Smart Home Environments. ACM COMPUTING SURVEYS, 48 (3).
  • de Jesús Rubio, J. and Bouchachia, A., 2015. MSAFIS: an evolving fuzzy inference system. Soft Computing, 1-10.
  • Pohl, D., Bouchachia, A. and Hellwagner, H., 2015. Online indexing and clustering of social media data for emergency management. Neurocomputing, 172, 168-179.
  • Amiribesheli, M., Benmansour, A. and Bouchachia, A., 2015. A review of smart homes in healthcare. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 6 (4), 495-517.
  • Pohl, D., Bouchachia, A. and Hellwagner, H., 2015. Social media for crisis management: clustering approaches for sub-event detection. MULTIMEDIA TOOLS AND APPLICATIONS, 74 (11), 3901-3932.
  • Gama, J., Zliobaite, I., Bifet, A., Pechenizkiy, M. and Bouchachia, A., 2014. A Survey on Concept Drift Adaptation. ACM COMPUTING SURVEYS, 46 (4).
  • Bouchachia, A., 2014. Online data processing. NEUROCOMPUTING, 126, 116-117.
  • Bouchachia, A., Lughofer, E. and Sayed-Mouchaweh, M., 2014. Special Issue: Evolving Soft Computing Techniques and Applications. APPLIED SOFT COMPUTING, 14, 1-3.
  • Bouchachia, A., Lena, A. and Vanaret, C., 2014. Online and interactive self-adaptive learning of user profile using incremental evolutionary algorithms. Evolving Systems, 5 (3), 143-157.
  • Bouchachia, A. and Vanaret, C., 2014. GT2FC: An online growing interval type-2 self-learning fuzzy classifier. IEEE Transactions on Fuzzy Systems, 22 (4), 999-1018.
  • Pohl, D., Bouchachia, A. and 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.
  • Bouchachia, A., Lughofer, E. and Sanchez, D., 2013. Editorial of the special issue: Online fuzzy machine learning and data mining. INFORMATION SCIENCES, 220, 1-4.
  • Bouchachia, A., 2012. Dynamic Clustering. Evolving Systems, 3 (3), 133-134.
  • Bouchachia, A. and Nedjah, N., 2012. Introduction to the special section on self-adaptive systems: Models and algorithms. ACM Transactions on Autonomous and Adaptive Systems, 7 (1).
  • Bouchachia, A. and Prossegger, M., 2011. A hybrid ensemble approach for the Steiner tree problem in large graphs: A geographical application. Appl. Soft Comput., 11, 5745-5754.
  • Bouchachia, A. and Nedjah, N., 2011. Adaptive incremental learning in neural networks. Neurocomputing, 74, 1783-1784.
  • Nedjah, N., Bouchachia, A. and Mourelle, L.D.M., 2011. Editorial: Dedicated Hardware for Neural and Fuzzy Systems. Journal of Circuits, Systems, and Computers, 20.
  • Bouchachia, A., 2011. Fuzzy classification in dynamic environments. Soft Comput., 15, 1009-1022.
  • Bouchachia, A., 2011. Incremental learning with multi-level adaptation. Neurocomputing, 74, 1785-1799.
  • Nedjah, N., Bouchachia, A. and 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.
  • Bouchachia, A., 2010. An evolving classification cascade with self-learning. Evolving Systems, 1 (3), 143-160.
  • Nedjah, N., Bouchachia, A.H. and 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.
  • Bouchachia, A., Mittermeir, R., Sielecky, P., Stafiej, S. and Zieminski, M., 2010. Nature-inspired techniques for conformance testing of object-oriented software. Appl. Soft Comput., 10, 730-745.
  • Bouchachia, A. and Kyamakya, K., 2009. Computational intelligence applied to nonlinear dynamics and synchronization. International Journal of Computational Intelligence Systems, 2 (2), 99-103.
  • Bouchachia, A., 2009. Radial basis function nets for time series prediction. International Journal of Computational Intelligence Systems, 2 (2), 147-157.
  • Hassler, M., Bouchachia, A. and Mittermeir, R., 2008. XML Classification. International Journal of Information Technology and Intelligent Computing, 2 (4).
  • Bouchachia, A., 2007. Learning with partly labeled data. Neural Computing and Applications, 16, 267-293.
  • Bouchachia, A. and Mittermeir, R., 2007. Towards Incremental Fuzzy Classifiers. Soft Comput., 11, 193-207.
  • Bouchachia, A. and Pedrycz, W., 2006. Data Clustering with Partial Supervision. Data Min. Knowl. Discov., 12, 47-78.
  • Bouchachia, A. and Pedrycz, W., 2006. Enhancement of fuzzy clustering by mechanisms of partial supervision. Fuzzy Sets and Systems, 157, 1733-1759.
  • Bourouis, A., Feham, M. and Bouchachia, A.. Ubiquitous Mobile Health Monitoring System for Elderly (UMHMSE). International Journal of Computer Science & Information Technology (IJCSIT), Vol 3, No 3, June 2011.
  • Bourouis, A., Feham, M. and Bouchachia, A.. A New Architecture of a Ubiquitous Health Monitoring System: A Prototype Of Cloud Mobile Health Monitoring System.

Books

  • Bouchachia, A., 2014. Proceedings of the Third International Conference on Adaptive and Intelligent Systems (ICAIS'14). Springer.
  • 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, A., 2016. Fuzzy Classification. Advances in Computational Intelligence. Wordpress.
  • 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.
  • 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

  • Garcia, I., Casado, R. and Bouchachia, A., 2016. An incremental approach for real-time big data visual analytics. 177-182.
  • Jamil, W., Kalnishkan, Y. and Bouchachia, A., 2016. Aggregation Algorithm Vs. Average for Time Series Prediction. In: ECML/PKDD 2016 Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV-2016) 23 September 2016 Riva del Garda, Italy.
  • Mansour, I., Cooper, K. and Bouchachia, A., 2016. Effective Live Cloud Migration. In: 2016 IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud 2016) 22-24 August 2016 Vienna, Austria. IEEE, 334-339.
  • Amiribesheli, M. and Bouchachia, A., 2016. Towards Dementia-Friendly Smart Homes. 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 UCD Approach. In: Workshop on User-centered Design for Intelligent Environments co-located with the British HCI conference, 12-14 July 2016 Bournemouth.
  • Mohamad, S., Bouchachia, A. and Sayed-Mouchaweh, M., 2015. A non-parametric hierarchical clustering model.
  • Saad, M., Bouchachia, A. and Sayed Mouchaweh, M., 2015. A non-parametric hierarchical clustering model. In: . The 2015 IEEE Conference on Evolving and Adaptive Intelligent Systems –EAIS 2015 2-4 December 2015 Douai, France.
  • Amiribesheli, M. and Bouchachia, A., 2015. Smart Homes Design for People with Dementia. 156-159.
  • Prossegger, M. and Bouchachia, A., 2014. Multi-resident activity recognition using incremental decision trees. Springer Verlag, 182-191.
  • Bouchachia, A., Ortner, A. and IEEE, 2014. Self-learning Recursive Neural Networks for Structured Data Classification. 808-815.
  • Bouchachia, A. and Balaguer-Ballester, E., 2014. DELA: A dynamic online ensemble learning algorithm. 491-496.
  • Prossegger, M. and Bouchachia, A., 2014. Multi-resident activity recognition using incremental decision trees. 182-191.
  • 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.
  • Pohl, D., Bouchachia, A. and Hellwagner, H., 2012. Supporting Crisis Management via Sub-event Detection in Social Networks. IEEE Computer Society, 373-378.
  • Pohl, D., Bouchachia, A. and Hellwagner, H., 2012. Automatic Identification of Crisis-Related Sub-events Using Clustering. IEEE, 333-338.
  • Pohl, D., Bouchachia, A. and Hellwagner, H., 2012. Automatic sub-event detection in emergency management using social media. ACM, 683-686.
  • Bouchachia, A. and Vanaret, C., 2011. Incremental learning based on growing Gaussian mixture models. 47-52.
  • Prossegger, M. and Bouchachia, A., 2011. Incremental semi-automatic correction of misclassified spatial objects. 16-25.
  • Bouchachia, A., Prossegger, M. and Duman, H., 2010. Semi-supervised incremental learning.
  • Prossegger, M. and Bouchachia, A., 2009. Incremental identification of topological errors in spatial data.
  • Bouchachia, A., 2009. Incremental induction of fuzzy classification rules. 32-39.
  • Bouchachia, A. and Prossegger, M., 2009. A Bi-Clustering Agent-based Approach for Map Segmentation. IEEE, 99-105.
  • Prossegger, M. and Bouchachia, A., 2008. Ant colony optimization for Steiner tree problems. ACM, 331-336.
  • Bouchachia, A., 2007. Clustering of multi-source data. 317-324.
  • 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. London, UK, July 2007, 1-6.
  • Sahel, Z., Bouchachia, A., Gabrys, B. and Rogers, P., 2007. Adaptive Mechanisms for Classification Problems with Drifting Data. Berlin: Springer, 419-426.
  • Bouchachia, A., 2007. An Immune Genetic Algorithm for Software Test Data Generation. IEEE Computer Society, 84-89.
  • Bouchachia, A. and Hassler, M., 2007. Classification of XML Documents. IEEE, 390-396.
  • Bouchachia, A., 2006. Incremental Learning By Decomposition. IEEE Computer Society, 63-68.
  • Bouchachia, A., 2006. Learning with Incrementality. Springer, 137-146.
  • Bouchachia, A. and Wakounig, D., 2006. Reverse Engineering of Rule-based Systems. 45-50.
  • Bouchachia, A., 2005. Learning with Hybrid Data. IEEE Computer Society, 193-200.
  • Bouchachia, A., 2005. On the Scarcity of Labeled Data. IEEE Computer Society, 402-407.
  • Hassler, M. and Bouchachia, A., 2005. Searching XML Documents - Preliminary Work. Springer, 119-133.
  • Bouchachia, A., 2004. Multiple Instance Learning with Radial Basis Function Neural Networks. Springer, 440-445.
  • Bouchachia, A. and Mittermeir, R., 2003. A Neural Cascade Architecture for Document Retrieval. 1915-1920.
  • Bouchachia, A. and Pedrycz, W., 2003. A Semi-supervised Clutsering Algorithm for Data Exploration. Springer, 328-337.
  • Bouchachia, A., 2003. Distributed Data Clustering. CEUR-WS.org.
  • Bouchachia, A., Mittermeir, R. and Pozewaunig, H., 2000. Document Identification by Shallow Semantic Analysis. Springer, 190-202.

Internet Publications

PhD Students

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

Profile of Teaching PG

  • 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.
  • Web mining and Analytics
  • Big Data and Cloud Computing

Profile of Teaching UG

  • Similar to Profile of Teaching PG.

Invited Lectures

  • Keynote Speech at the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2015

Grants

  • 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). In Progress
  • 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
  • Regularized Semi-Supervised Fuzzy Clustering (University of Klagenfurt, 15 Feb 2011). Completed
  • Online Fuzzy Classifiers (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,
The data on this page was last updated at 04:03 on April 28, 2017.