Hamid Bouchachia

Professor Hamid Bouchachia

  • Professor In Data Science and Intelligent Systems
  • Poole House P604, 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

  • 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).
  • Lotfi, A., Bouchachia, H., Gegov, A., Langensiepen, C., McGinnity, M., 2019. Preface.
  • 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.
  • 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.
  • 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.
  • 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.
  • Bouchachia, A., 2016. Fuzzy Classification. Advances in Computational Intelligence. Wordpress.
  • Bouchachia, H., Dogan, H., Jiang, N., 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., Bouchachia, A., 2015. Information propagation in social networks during crises: A structural framework. 293-309.
  • 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.
  • Bouchachia, A., 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. V-VI.
  • Bouchachia, A., 2011. Learning with partial supervision. Machine Learning Concepts Methodologies Tools and Applications. 1880-1888.
  • 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., eds. Encyclopedia of Data Warehousing and Mining. IGI Global, 1006-1012.
  • Bouchachia, A., 2009. Learning with Partial Supervision. In: Wang, J., eds. Encyclopedia of Data Warehousing and Mining. IGI Global, 1150-1157.
  • Bouchachia, A., 2009. Adaptation in Classification Systems. In: Hassanien, A.E., Abraham, A., Herrera, F., eds. Foundations of Computational Intelligence (2). Springer, 237-258.

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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Anwary, A.R., Bouchachia, H., Vassallo, M., 2019. Real time visualization of asymmetrical sitting posture. Procedia Computer Science, 155, 153-160.
  • 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.
  • 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.
  • 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.
  • Mohamad, S., Arifoglu, D., Mansouri, C., Bouchachia, A., 2018. Deep Online Hierarchical Unsupervised Learning for Pattern Mining from Utility Usage Data. In: 18th UK Workshop on Computational Intelligence 05/09/2018 Nottingham, UK. Advances in Computational Intelligence Systems, 840, 276-290.
  • 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.
  • Arifoglu, D., Bouchachia, A., 2017. Activity Recognition and Abnormal Behaviour Detection with Recurrent Neural Networks. Procedia Computer Science, 110, 86-93.
  • Jamil, W., Kaliniskan, Y., Bouchachia, H., 2017. Aggregation algorithm vs. Average for time series prediction. Ceur Workshop Proceedings, 2069.
  • Mohamad, S., Sayed-Mouchaweh, M., Bouchachia, A., 2017. Active learning for data streams under concept drift and concept evolution. Ceur Workshop Proceedings, 2069.
  • Arifoglu, D., Bouchachia, A., 2017. Activity Recognition and Abnormal Behaviour Detection with Recurrent Neural Networks. Procedia Computer Science, 110, 86-93.
  • Sayed-Mouchaweh, M., Bifet, A., Bouchachia, H., Gama, J., Ribeiro, R.P., 2017. Preface. Ceur Workshop Proceedings, 1958, i-ii.
  • Sayed-Mouchaweh, M., Bouchachia, H., Gama, J., Ribeiro, R.P., 2017. Preface. Ceur Workshop Proceedings, 2069, i-ii.
  • 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.
  • 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.
  • 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.
  • 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.
  • Amiribesheli, M., Bouchachia, A., 2016. Towards Dementia-Friendly Smart Homes. Proceedings International Computer Software and Applications Conference, 1, 638-647.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Amiribesheli, M., Bouchachia, A., 2015. Smart Homes Design for People with Dementia. Proceedings 2015 International Conference on Intelligent Environments Ie 2015, 156-159.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Pohl, D., Bouchachia, A., Hellwagner, H., 2012. Automatic sub-event detection in emergency management using social media. WWW (Companion Volume), 683-686 ACM.
  • Pohl, D., Bouchachia, A., Hellwagner, H., 2012. Supporting Crisis Management via Sub-event Detection in Social Networks. WETICE, 373-378 IEEE Computer Society.
  • Pohl, D., Bouchachia, A., Hellwagner, H., 2012. Automatic Identification of Crisis-Related Sub-events Using Clustering. ICMLA (2), 333-338 IEEE.
  • 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.
  • 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.
  • Bouchachia, A., Prossegger, M., Duman, H., 2010. Semi-supervised incremental learning. 2010 IEEE World Congress on Computational Intelligence Wcci 2010.
  • Prossegger, M., 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., Prossegger, M., 2009. A Bi-Clustering Agent-based Approach for Map Segmentation. IEEE IA, 99-105 IEEE.
  • Prossegger, M., 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., Rogers, P., 2007. Adaptive Mechanisms for Classification Problems with Drifting Data. , 419-426 Berlin: Springer.
  • 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.
  • Bouchachia, A., 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., 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., 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., 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., 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., Pedrycz, W., 2003. A Semi-supervised Clutsering Algorithm for Data Exploration. IFSA, 2715, 328-337 Springer.
  • Bouchachia, A., Mittermeir, R.T., Pozewaunig, H., 2000. Document Identification by Shallow Semantic Analysis. NLDB, 1959, 190-202 Springer.

Reports

Internet Publications

Theses

PhD Students

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

Grants

  • FRAME: A Model-Based Foundry for Engineering, Adapting, and Assuring the Quality of AI Agents (European Commission, 01 Jul 2026). Awarded
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Conference on Adaptive and Intelligent Systems (Ministry of Science and Research, 01 Feb 2009). Completed
  • SERENE (University of Klagenfurt, 15 Apr 2008). 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
  • 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
  • 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 Systems, Man and Cybernetics Society, Member of Evolving Systems Technical Committee,
  • IEEE Computational Intelligence Society., Task-force for Adaptive and Evolving Systems,
The data on this page was last updated at 22:00 on February 18, 2026.