Accomplishments

My research focuses is multi-disciplinary expertise combining Pattern Recognition, Machine Learning, Artificial Intelligence, Computer Vision, and novel sensor hardware to make devices and processes smarter.kills: Data science, Machine learning, Deep learning, Activity recognition, Wearable Computing, R&D, Teaching, Research, Programming.

Projets de Recherche

- PRFU: Chef de projet, PR N° A25N01UN160420230001: Intitulé: Application de l'apprentissage automatique profond et fédéré sur les données médicales de capteurs. Federated and Deep Learning Applied to Medical Wearables. 2022:2024

- PRFU: Membre, PR N° A25N01UN160420180003: Intitulé: Analyse de données Smartphones et Smarthomes pour la gestion d’environnements Intelligents Sensors Data Analytics for Smart Environnements. 2018:2020

- CNEPRU: Membre, PR N° J0200220130050: Intitulé: Méthodes de traitement du signal avancé pour les communications numériques sans fil : Application à la radio intelligente (SDR) et l’internet des objets. 2014:2017

- CNEPRU: Membre, PR N° 0200220100058: Intitulé: Développement de méthodes de traitement du signal sans fil : Applications aux systèmes RFID et 4G. 2011:2013

Participations aux manifestations scientifiques:

- M’hamed Bilal ABIDINE, The Valancian Summer School in Machine Learning (VSSML2017), Valencia, 14-15, Septembre, 2017.

- M’hamed Bilal ABIDINE. L’école de Printemps 2017/Spring School 2017 organisée à Gif S/Yvette – Château CNRS, France, du 2 au 5 mai 2017.

Publications

-M.B. Abidine, M. Oussalah, B. Fergani, and H. Lounis, Activity recognition on smartphones using an AKNN based support vectors. Sensor Review-Emerald Publishing , Volume 42, Issue 4, 2022.

-M.B. Abidine, B. Fergani, Activity recognition from Smartphone data using WSVM-HMM classification. International Journal of E-Health and Medical Communications (IJEHMC), Volume 12, Issue 6, Article 11, 2021.

- M.B. Abidine, B. Fergani, Activity recognition from smartphone data using weighted learning methods. Intelligenza Artificiale, vol. 15, no. 1, pp. 1-15, 2021.

-I. Menhour, M.B.Abidine, B.Fergani and H. Lounis. KDA based WKNN-SVM Method for Activity Recognition System from Smartphone Data. International Journal of Software Innovation (IJSI), 2020 (Accepted).

- M.B. Abidine, L. Fergani, B. Fergani, M. Oussalah. The joint use of sequence features combination and modified weighted SVM for improving daily activity recognition. Pattern Analysis and Applications, Springer-Verlag London,Pattern Analysis and Applications (PAA) 21(1):119–138, February 2018. DOI: 10.1007/s10044-016-0570-y

-M.B. Abidine, L. Fergani, B. Fergani & A. Fleury. Improving Human Activity Recognition in Smart Homes. International Journal of E-Health and Medical Communications (IJEHMC), 6(3), 19-37, 2015. DOI: 10.4018/IJEHMC.2015070102

- M.B. Abidine and B. Fergani, News Schemes for Activity Recognition Systems Using PCA-WSVM, ICA-WSVM, and LDA-WSVM. Information Journal, 6(3), 505 - 521, 2015. DOI:10.3390/info6030505

- M.B. Abidine, B. Fergani, M. Oussalah , L. Fergani: A new classification strategy for human activity recognition using cost sensitive support vector machines for imbalanced data. Kybernetes Journal, Vol. 43 Iss: 8, pp.1150 – 1164, 2014. DOI: 10.1108/K-07-2014-0138

- M.B. Abidine and B. Fergani: A New Multi-Class WSVM Classification to Imbalanced Human Activity Dataset. Journal of Computers (JCP) 9(7): 1560-1565, 2014. DOI: 10.4304/jcp.9.7.1560-1565.

Book Chapters

- M'Hamed Bilal Abidine, Belkacem Fergani. ‘Human Activities Recognition in Android Smartphone Using WSVM-HMM Classifier’. In book Chapter: 15th International Conference, Conference On Smart homes and health Telematics (ICOST 2020), Part of the The Impact of Digital Technologies on Public Health in Developed and Developing Countries- (pp. 386-394). Springer, Cham. https://doi.org/10.1007/978-3-030-51517-1_35

- Ihssene Menhour, Belkacem Fergani, M'Hamed Bilal Abidine. E-Health Human Activity Recognition Scheme Using Smartphone’s Data. In Proceedings of the 1st International Conference on Electronic Engineering and Renewable Energy pp 128-134, Saidia, Morocco, Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 519), Springer, 02 August 2018. DOI: https://doi.org/10.1007/978-981-13-1405-6_17

-M'Hamed Bilal Abidine, Belkacem Fergani, Shikhar Seth. Human Activity Recognition in Smart Home Environment Using OS-WSVM Model. In book Chapter: International Conference on Electronic Engineering and Renewable Energ , Saidia, Morocco.,Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 519), 02 August 2018. https://doi.org/10.1007/978-981-13-1405-6_17

- M'Hamed Bilal Abidine, Belkacem Fergani. ’Human Activity Recognition in Smart Home using Prior Knowledge based KNN-WSVM Model’. In book Chapter: International Conference on Artificial Intelligence in Renewable Energetic Systems (IC-AIRES 2017), Tipaza, Algeria, Lecture Notes in Computer Science- LNNS 35 proceedings Springer International Publishing, 13 March 2018. https://doi.org/10.1007/978-3-319-73192-6_2

- M'Hamed Bilal Abidine, Belkacem Fergani. ’Human Activity Recognition in Smart Home using Prior Knowledge based KNN-WSVM Model’. In book Chapter: 15th International Conference, Conference On Smart homes and health Telematics (ICOST 2017), Paris, France, Lecture Notes in Computer Science- Springer International Publishing, August 29-31, 2017.

- M.B. Abidine and B. Fergani. Comparing HMM, LDA, SVM and Smote-SVM Algorithms in Classifying Human Activities. In Proceedings of the Mediterranean Conference on Information & Communication Technologies 2015 (pp. 639-644). Springer International Publishing, 2016. DOI : 10.1007/978-3-319-30298-0_70

Communications internationales

- M'Hamed Bilal Abidine, Belkacem Fergani. 'An Efficient Kernel KNN classifier for Activity Recognition on Smartphone'.

2022 IEEE 21 International conference on Sciences and Techniques of Automatic control & computer engineering (STA'2022): December 19-21, 2022, Sousse, Tunisia

- M.B. Abidine, and B. Fergani. Human Activities Recognition in Android Smartphone Using WSVM-HMM Classifier. In : International Conference on Smart Homes and Health Telematics (ICOST’2020). Springer, Cham, 2020. p. 386-394.

- Ihssene Menhour, M'Hamed Bilal Abidine, Belkacem Fergani,. A new activity classification method K-SVM using Smartphone data. International Conference on Advanced Electrical Engineering (ICAEE 2019), Algiers, Algeria, 19 – 21 Novembre 2019. http://www.aagee.dz/icaee2019/program.php

-M'Hamed Bilal Abidine, Belkacem Fergani, Ihssene Menhour. Activity Recognition from Smartphones Using Hybrid Classifier PCA-SVM-HMM. The 7th International Conference on Wireless Networks and Mobile Communications (Wincom2019), Fès, Maroc, 29 Octobre – 01 Novembre 2019. https://www.wincom-conf.org/WINCOM_2019/program.php

-M'Hamed Bilal Abidine, Belkacem Fergani, Shikhar Seth. Human Activity Recognition in Smart Home Environment Using OS-WSVM Model. International Conference on Electronic Engineering and Renewable Energy 15-17 April 2018 Saidia, Morocco.

-Ihssene Menhour, Belkacem Fergani, M'Hamed Bilal Abidine. E-Health Human Activity Recognition Scheme Using Smartphone’s Data. International Conference on Electronic Engineering and Renewable Energy, 15-17 April 2018 Saidia, Morocco.

-M'Hamed Bilal Abidine, Belkacem Fergani. Robust Human Activity Recognition in Indoor Environment Using WSVM-Smote-VS Model. 6th International Conference on Multimedia Computing and Systems (ICMCS’18).

- Ihssene Menhour, M'Hamed Bilal Abidine, Belkacem Fergani. A New Framework Using PCA, LDA and KNN-SVM to Activity Recognition Based SmartPhone’s Sensors. 6th International Conference on Multimedia Computing and Systems (ICMCS’18), ieeexplorer, Page(s):1 - 5, 10-12 May 2018 .

- M'Hamed Bilal Abidine, Belkacem Fergani and Anthony Fleury. Integrating prior Knowledge in Weighted SVM for Human Activity Recognition in Smart Home. 15th International Conference On Smart homes and health Telematics, August 29-31, 2017 Paris, France.

- M.B. Abidine, B. Fergani and F. Javier. Ordonez. Effect of oversampling versus undersampling for SVM and LDA classifiers for activity recognition. Biga Data'2016, May 3-5, 2016, Alicante, Spain.

- M.B. ABIDINE and B. FERGANI. “Comparing HMM, LDA, SVM and Smote-SVM Algorithms in Classifying Human Activities”. The Mediterranean Conference on Information & Communication Technologies, Medict’15, May 7-9, 2015 Saïdia, Morocco.

- M.B. ABIDINE and B. FERGANI. “New Schemes for Activity Recognition System using PCA WSVM and LDA-WSVM”. The Mediterranean Conference on Information & Communication Technologies, Medict’15, May 7-9, 2015 Saïdia, Morocco.

- M.B. ABIDINE, N. YALA, B. FERGANI and L. CLAVIER. “Soft Margin SVM Modeling for Handling Imbalanced Human Activity Datasets in Multiple Homes”. 4th International Conference on Multimedia Computing and Systems (ICMCS'14), April 14-16, 2014, Marrakesh, Morocco.

- M.B. ABIDINE, B. FERGANI. ’A New Multi-Class WSVM Classification to Imbalanced HumanActivity Dataset’. 6th International Conference on Computer Science and Information Technology, ICCSIT’2013. Dec 20, 2013 - Dec 21, 2013, Paris, France.

- M.B. ABIDINE, B. FERGANI and L. CLAVIER. ’Importance-Weighted the Imbalanced data for C-SVM Classifier to Human Activity Recognition’. In Proc. Of the 8th IEEE Int. Workshop on Systems, Signal Processing and their Applications, WOSSPA’2013, pp. 330-335, Algiers, Algeria; 05-2013.

- M.B ABIDINE and B. FERGANI. ’Evaluating a new classification method using PCA to human activity recognition’. In Proc. Of the IEEE Int. Conf. on Computer Medical Applications (ICCMA), pages 1-4, Sousse, Tunisia, January 20-22, 2013.

- M.B. ABIDINE, B. FERGANI and L. FERGANI. ’A Comparative study of C-SVM, CRF and k-NN for Daily Activity Recognition’. 14th ACM International Conference on Ubiquitous Computing, UBICOMP’12, Pittsburgh, Pennsylvania, United States, September 5-8, 2012. http://www.ubicomp.org/ubicomp2012/program-posters.html

- M.B. ABIDINE, B. FERGANI. ’Evaluating C-SVM, CRF and LDA Classification for Daily Activity Recognition’. In Proc. Of the the 3rd IEEE Int. Conf. on Multimedia Computing and Systems ICMCS’12, pp. 272–277, Tangier-Morocco, May 10-12, 2012.

Communications nationales

-M'Hamed Bilal Abidine, Belkacem Fergani. 'Multicarrier Waveforms Classification via LDA and CNN for Future Wireless Networks'. The 2nd National Conference on Telecommunications and its Applications, CNTA’2022, Ain-Témouchent, Algeria, 20&21 December 2022.

-Ihssene Menhour, M'Hamed Bilal Abidine, Belkacem Fergani. ‘A Combined Classification Method KNN-SVM to Activity Recognition using Samsung Galaxy SII’. First international conference on Embedded & Distributed Systems, EDiS’2017, 17th and 18th December 2017, University of Oran, Algeria.

- M.B. ABIDINE and B. FERGANI. ’Human Activity Recognition in Smart Home using Prior Knowledge based KNN-WSVM Model’. International Conference on Artificial Intelligence in Renewable Energetic Systems (IC-AIRES'17), Tipaza, Algeria, 22-24 October 2017.

- M.B. ABIDINE and B. FERGANI. ’Effects of Oversampling Versus Undersampling for SVM and LDA Classifiers for Modeling Human Activities’. International Conference on Embedded Systems in Telecommunications and Instrumentation (ICESTI'14), Annaba, Algeria, 27-29 October 2014.

- M.B. ABIDINE, B. FERGANI and L. CLAVIER. ’C-SVM versus CRF Classifier for Human Activity Recognition’. The First International Conference On Electrical Engineering and Control Applications, Khenchela, Algeria, 20-22 November 2012.

- M.B. ABIDINE et B. FERGANI. ’A Comparative Study of Four Classifiers for Activity Recognition in Smart Home’. Première Conférence Nationale sur les Télécommunications, CNT’2012, Guelma, Algérie, 11&12 Novembre 2012.