1 HAJAR MOUSANNIF N°121, lot T6, Les Portes de Marrakech Targa, Marrakech. mous
1 HAJAR MOUSANNIF N°121, lot T6, Les Portes de Marrakech Targa, Marrakech. mousannif@uca.ac.ma +212(0)6 61 47 11 77 Professeur Habilité Coordinatrice du Master Data Science Département d’Informatique, Faculté des Sciences Semlalia Université Cadi Ayyad I. FORMATION • 2012 : Doctorat en Informatique, CED- Sciences de l’Ingénieur, Université Cadi Ayyad. • 2005 : Diplôme d’Ingénieur d’Etat à l’Institut National des Postes et Télécommunications (INPT). • 2002 : DEUG MP à la Faculté des Sciences et Techniques Guéliz, Marrakech. • Juin 2000 : Baccalauréat - Série Sciences Mathématiques. II. ACTIVITES DE RECHERCHE (période 2011-2019) Profil public sur Google Scholar et DBLP: ✓ Google Scholar : https://scholar.google.com/citations?user=93WZ- rYAAAAJ&hl=fr&authuser=1 ✓ DBLP : http://dblp.uni-trier.de/pers/hd/m/Mousannif:Hajar Brevets d’invention en Intelligence Artificielle 1°) Inventeur : Hajar Mousannif, « Diffusion de contenu personnalisé en se basant sur la reconnaissance des émotions via les terminaux mobiles », publication N° : MA 20150034 A1, classification Internationale: G06Q 30/02 ; G06Q 30/00, date de publication : 27.02.2015 2°) Inventeurs : Hajar Mousannif, Aimad Karkouch, Hassan Al Moatassime, “Système ambient de retroactions et d’évaluation des apprentissages des étudiants”, Ref: 41927, Brevet déposé le 30 Janvier 2018 à l’Office Marocain de la Propriété Intellectuelle et Commerciale (OMPIC), Maroc Résumé des inventions : https://www.leconomiste.com/article/1043146-intelligence- artificielle-une-super-inventeuse-100-made-morocco Publications dans des journaux Internationaux 1. Zouhair El Amrani Abou Elassad, Hajar Mousannif, H Al Moatassime, Aimad Karkouch (2020), “The application of machine learning techniques for driving behavior analysis: A conceptual framework and a systematic literature review”, Engineering Applications of Artificial Intelligence Vol:87, PP: 103312, https://doi.org/10.1016/j.engappai.2019.103312, TR impact factor: 3.526 2 2. Younes Oulad Sayad, Hajar Mousannif and Hassan Al Moatassime (2019), “Predictive modeling of wildfires: A new dataset and machine learning approach”, Fire Safety Journal, Volume 104, Pages 130-146, DOI:https://doi.org/10.1016/j.firesaf.2019.01.006, TR impact Factor:2.165 3. Hiba Asri, Hajar Mousannif and Hassan Al Moatassime (2019), “Reality mining and predictive analytics for building smart applications”, Journal of Big Data, vol:6, Issue:1,PP:6- 66, DOI:https://doi.org/10.1186/s40537-019-0227-y . SJR 2018:1.12 4. Hiba Asri, Hajar Mousannif, Hassan Al Moatassime (2019),” Big Data Analytics in Healthcare: Case Study-Miscarriage Prediction”, International Journal of Distributed Systems and Technologies (IJDST), vol:10, Issue: 4, PP: 45-58, DOI: 10.4018/IJDST.2019100104 5. Aimad Karkouch, Hajar Mousannif and Hassan Al Moatassime (2019), “Towards a ubiquitous students' response system for monitoring learning performances”, International Journal of Intelligent Enterprise 6 (2-4), 242-261, DOI: https://doi.org/10.1504/IJIE.2019.101132. SJR 2018:0.12 6. Aimad Karkouch, Hajar Mousannif, Hassan Al Moatassime, Thomas Noel (2018), “A Model-Driven Framework for Data Quality Management in the Internet of Things”, Journal of Ambient Intelligence and Humanized Computing, Volume 9, Issue 4, pp 977–998, Springer, DOI: 10.1007/s12652-017-0498-0. TR impact factor:1.588 7. Aimad Karkouch, Hajar Mousannif, Hassan Al Moatassime (2018), “ CADS: A Connected Assistant for Driving Safe”, Procedia Computer Science, Volume 127, 2018, Pages 353-359, Elsevier, https://doi.org/10.1016/j.procs.2018.01.132 8. Hiba Asri, Hajar Mousannif, Hassan Al Moatassime (2018), “Comprehensive miscarriage dataset for an early miscarriage prediction », Data in Brief, Volume 19, Pages 240-243, Elsevier, https://doi.org/10.1016/j.dib.2018.05.012 9. Hiba Asri, Hajar Mousannif, Hassan Al Moatassime (2017), “Real-time Miscarriage Prediction with SPARK”, Procedia Computer Science, Vol: 113, pp: 423-428, Elsevier, https://doi.org/10.1016/j.procs.2017.08.272 10. Aimad Karkouch, Hajar Mousannif, Hassan Al Moatassime, Thomas Noel (2016), “Data quality in internet of things: A state-of-the-art survey”, Journal of Network and Computer Applications Vol: 73, pp: 57-81, Elsevier, DOI: 10.1016/j.jnca.2016.08.002. TR impact factor 2015:3.500 11. Aafaf Ouaddah, Hajar Mousannif, Anas Abou Elkalam and Abdellah Ait Ouahmane, ” Access control in The Internet of Thing: Big challenges and new opportunities” (2016), Computer Networks, Elsevier, DOI: 10.1016/j.comnet.2016.11.007, Volume 112, pp: 237– 262, TR impact factor 2014:2.516 12. Basma Boukenze, Hajar Mousannif, Abdelkarim Haqiq (2016), “Predictive Analytics In Healthcare System Using Data Mining Techniques”, Computer Science & Information Technology, pp. 01–09, CS & IT-CSCP 2016, DOI : 10.5121/csit.2016.60501 13. Yasmina Douiji, Hajar Mousannif and Hassan Al Moatassime (2016), “ Using Youtube Comments for Text-Based Emotion Recognition”, Procedia Computer Science, Vol. 83, pp: 292-299, Elsevier, DOI: 10.1016/j.procs.2016.04.128 14. Hiba Asri, Hajar Mousannif, Hassan Al Moatassime, and Thomas Noel (2016), “Using Machine Learning Algorithms for Breast Cancer Risk Prediction and Diagnosis”, Procedia Computer Science, Vol: 83, pp: 1064-1069, Elsevier, DOI:10.1016/j.procs.2016.04.224 15. Hajar Mousannif, Hasna Sabah, Yasmina Douiji, Younes Oulad Sayad, (2016), “Big Data Projects: Just Jump Right in!”, International Journal of Pervasive Computing and Communications (IJPCC), Volume 12, issue 2, pp.260 – 288, Emerald, Available on the Master journal List of Thomson Reuters, DOI:10.1108/IJPCC-04-2016-0023 16. Sara Najam, Hajar Mousannif and Mohammed Ouzzif, “A Secure Attribute-based Model to Foster Collaboration in Healthcare Systems” (2014), International Journal of Computer Science and Information Security (IJCSIS), Vol. 12 Issue 8, pp 10-19 17. Hajar Mousannif, Ismail Khalil and Gabriele Kotsis (2013), “The cloud is not “there”, we are the cloud!”, International Journal of Web and Grid Services (IJWGS), Vol. 9 Issue 1, pp:1-17, Inderscience, DOI: 10.1504/IJWGS.2013.052854, TR impact factor: 1.229 3 18. Hajar Mousannif, Ismail Khalil and Gabriele Kotsis (2013), “Collaborative learning in the clouds”, Information Systems Frontiers, Vol. 15 Issue 2, pp 159-165, Springer, DOI:10.1007/s10796-012-9364-y, TR impact factor: 1.450 19. Hajar Mousannif, Ismail Khalil, (2012), "Cooperative data management in WSN", International Journal of Computational Intelligence Systems (IJCIS), Vol. 5 Issue 3, pp. 403- 412 DOI:10.1080/18756891.2012.696890, TR impact factor : 1.14 20. Hajar Mousannif, Ismail Khalil, Stephan Olariu (2012), Cooperation as a Service in VANET: Implementation and Simulation results, Mobile Information Systems Journal, Vol. 8 Issue 2, pp.153-172. IOS Press, DOI: 10.3233/MIS-2012-0136, TR impact factor : 0.849 21. Hajar Mousannif, Ismail Khalil, Hassan Al Moatassime, (2011), "Cooperation as a Service in VANETs", Journal of Universal Computer Science, Vol.17 Issue: 8, pp. 1202-1218. DOI: 10.3217/jucs-017-08-1202, TR impact factor: 0.696 22. Hajar Mousannif, Hassan Al Moatassime, Said Rakrak, (2011), "An energy-efficient scheme for reporting events over WSNs", International Journal of Pervasive Computing and Communications, Vol. 7 Issue 1, pp.44 – 59, EMERALD, DOI: 10.1108/17427371111123685. Chapitre d’ouvrage 23. Noussair Lazrek, Jihad Zahir and Hajar Mousannif (2018). “Air Quality monitoring using statistical methods”. In: Farhaoui Y., Moussaid L. (eds) Big Data and Smart Digital Environment. ICBDSDE 2018. Studies in Big Data, vol 53. Springer, Cham, DOI: https://doi.org/10.1007/978-3-030-12048-1_39 24. Omaima El Ansari, Jihad Zahir, Hajar Mousannif (2018), “Context-Based Sentiment Analysis: A Survey”. In: Abdelwahed E. et al. (eds) New Trends in Model and Data Engineering. MEDI 2018. Communications in Computer and Information Science, vol 929. Springer, Cham, DOI: https://doi.org/10.1007/978-3-030-02852-7_8 25. Hajar Mousannif and Ismail Khalil (2014), “The Human Face of Mobile”, Information and Communication Technology, Volume 8407, 2014, pp 1-20, Springer, DOI:10.1007/978-3- 642-55032-4_1 Publications dans des proceedings de conférences internationales 26. Lazrak Noussair, Jesualdo Tomás Fernández Breis, Jihad Zahir, Hajar Mousannif (2019), “Towards Distributed Learning in Internet of Things. Air Quality Monitoring Use Case”, In: Attiogbé C., Ferrarotti F., Maabout S. (eds) New Trends in Model and Data Engineering. MEDI 2019. Communications in Computer and Information Science, vol 1085. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-32213- 7_12 27. Zouhair Elamrani Abou Elassad and Hajar Mousannif (2018), “Understanding driving behavior: measurement, modeling and analysis”, in Proceeding of Advanced Intelligent Systems for Sustainable Development (AI2SD2018), Tangier, 12-14 July 2018, Springer, DOI: https://doi.org/10.1007/978-3-030-11928-7_41 28. Noussair Lazrek, Jihad Zahir and Hajar Mousannif (2018), “Responsive cities and data gathering: challenges and opportunities”, in Proceeding of 3rd International Conference on Smart City Applications (SCA 2018), Tetouan, Morocco — October 10 - 11, 2018, Springer, https://doi.org/10.1007/978-3-030-12048-1_39 29. Noussair Lazrek, Jihad Zahir and Hajar Mousannif (2018), “Air Quality monitoring using statistical methods”, in Proceeding of The International Conference on Big Data and Smart Digital Environment, November 29-30, 2018, Casablanca. 4 30. Omaima El Ansari, Jihad Zahir, Hajar Mousannif (2018), “Context-Based Sentiment Analysis: A Survey”, in Proceeding of International Conference on Model and Data Engineering (MEDI 2018), DOI: https://doi.org/10.1007/978-3-030-02852-7_8 31. Hajar Mousannif and Jihad Zahir (2018), “AgriFuture: A New Theory of Change Approach to Building Climate-resilient Agriculture”, in Proceeding of Advanced Intelligent Systems for Sustainable Development (AI2SD2018), Tangier, 12-14 July 2018, Springer. DOI: https://doi.org/10.1007/978-3-030-11878-5_10 32. Hiba Asri, Hajar Mousannif, Hassan Al Moatassime (2017), “Real-time Miscarriage Prediction with SPARK”, In proceeding of The 7th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2017) September 18-20, 2017, Lund, Sweden, https://doi.org/10.1016/j.procs.2017.08.272 33. Younes Oulad Sayad, Hajar Mousannif and Hassan Al Moatassime. “Leveraging Remotely- Sensed Data for Forest Fire Prediction Using Data Mining Algorithms”, The Sixth International Conference on Next Generation Networks & Services: NGNS 2016, December 2016, Rabat 34. Aafaf Ouaddah, Hajar Mousannif, Anas Abou Elkalam, Abdellah Ait Ouahman, “Access Control in IoT: Survey & State of the Art”, In proceeding of the 5th International Conference on Multimedia Computing and Systems, October 2016, Marrakech, Morocco, IEEEXplore 35. Basma Boukenze, Hajar Mousannif and Abdelkerim Haqiq, “Proposed Platform IPHCS for Predictive Analysis in Healthcare System by Using Big Data Techniques”, in proceeding of the The Third International Conference on Data Mining, Internet Computing, and Big Data, Konya, Turkey 2016, SDIWC Digital Library 36. Basma Boukenze, Abdelkerim Haqiq and Hajar Mousannif, “Predicting chronic kidney failure disease using data mining techniques”, in proceeding of the Second International Symposium on Ubiquitous Networking UNET’16, Advances in Ubiquitous Networking 2, Lecture Notes in Electrical Engineering (LNEE), Vol 397, pp 701-712, Springer, Casablanca, May 2016, DOI 10.1007/978-981-10-1627-1_55 37. Aimad Karkouch, Hajar Mousannif, Hassan Al Moatassime and Thomas Noel, “A Model- uploads/Science et Technologie/cv-mousannif-fr-2019-pdf.pdf
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