Inventor : Hajar Mousannif, « Diffusion de contenu personnalisé en se basant sur la reconnaissance des émotions via les terminaux mobiles », publication N° : MA 20150034 A1, International classification : G06Q 30/02 ; G06Q 30/00, publication date: 27.02.2015 “My TEDx talk about this invention on Youtube : https://www.youtube.com/watch?v=ZeIaTASmHwg“
Inventors: Hajar Mousannif, Aimad Karkouch, Hassan Al Moatassime, “Système ambient de retroactions et d’évaluation des apprentissages des étudiants”, Publication N° : MA 41927 B1, International classification : G06Q 50/00; G06K 9/00, publication date : 31/10/2019, Moroccan Office of Industrial and commercial property OMPIC
1.Zouhair Elamrani Abou Elassad, Hajar Mousannif, Hassan Al Moatassime
(2020), A proactive decision support system for predicting traffic
crash events: A critical analysis of imbalanced class distribution,
Knowledge-Based Systems 205, 106314, TR Impact Factor: 5.921, DOI: https://doi.org/10.1016/j.knosys.2020.106314
Zouhair Elamrani Abou Elassad, Hajar Mousannif, Hassan Al
Moatassime (2020), A real-time crash prediction fusion framework: An
imbalance- aware strategy for collision avoidance systems, Elsevier’s
Journal of Transportation Research Part C: Emerging Technologies, TR
Impact Factor: 6.077, https://doi.org/10.1016/j.trc.2020.102708
Zouhair Elamrani Abou Elassad, Hajar Mousannif, Hassan Al Moatassime (2020), Class-imbalanced crash prediction based on real-time traffic and weather data: a driving simulator study, Volume 21, 2020 – Issue 3, TR Impact Factor: 1.465, DOI:https://doi.org/10.1080/15389588.2020.1723794
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
Noussair Lazrak, 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
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
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
Zouhair Elamrani Abou Elassad, Hajar Mousannif, Hassan Al Moatassime (2020), A proactive decision support system for predicting traffic crash events: A critical analysis of imbalanced class distribution, Knowledge-Based Systems 205, 106314, TR Impact Factor: 5.921, DOI: https://doi.org/10.1016/j.knosys.2020.106314
Zouhair Elamrani Abou Elassad, Hajar Mousannif, Hassan Al Moatassime (2020), A real-time crash prediction fusion framework: An imbalance- aware strategy for collision avoidance systems, Elsevier’s Journal of Transportation Research Part C: Emerging Technologies, TR Impact Factor: 6.077, https://doi.org/10.1016/j.trc.2020.102708
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
Zouhair Elamrani Abou Elassad and Hajar Mousannif, “Understanding driving behavior: measurement, modeling and analysis”, in Proceeding of Advanced Intelligent Systems for Sustainable Development (AI2SD2018), Tangier, 12-14 July 2018, Springer
Noussair Lazrak, Jihad Zahir and Hajar Mousannif, “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
Noussair Lazrak, Jihad Zahir and Hajar Mousannif, “Air Quality monitoring using statistical methods”, in Proceeding of The International Conference on Big Data and Smart Digital Environment, November 29-30, 2018, Casablanca.
Omaima El Ansari, Jihad Zahir, Hajar Mousannif, “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
Hajar Mousannif and Jihad Zahir, “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.
Hiba Asri, Hajar Mousannif, Hassan Al Moatassime (2017), “Real-time Miscarriage Prediction with SPARK”, In proceeding of The 7th International Conferenceon 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
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
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
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
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
Aimad Karkouch, Hajar Mousannif, Hassan Al Moatassime and Thomas Noel, “A Model-Driven Architecture-based Data Quality Management Framework for the Internet of Things”, In proceeding of CloudTech2016, May 2016, Marrakech, Morocco, IEEEXplore
Yasmina Douiji, Hajar Mousannif and Hassan Al Moatassime, “ Using Youtube Comments for Text-Based Emotion Recognition”, in proceeding of The 7th International Conference on Ambient Systems, Networks and Technologies (ANT-2016), May 2016, Madrid, Spain, Elsevier, DOI: 10.1016/j.procs.2016.04.128
Hiba Asri, Hajar Mousannif, Hassan Al Moatassime, and Thomas Noel, “Using Machine Learning Algorithms for Breast Cancer Risk Prediction and Diagnosis” in proceeding of The 6th International Symposium on Frontiers in Ambient and Mobile Systems (FAMS 2016), May 2016, Madrid, Spain, Elsevier, DOI: 10.1016/j.procs.2016.04.224
Yasmina Douiji and Hajar Mousannif, “I-CARE: Intelligent Context Aware system for Recognizing Emotions from Text”, in proceeding of the 10th International Conference on Intelligent Systems: Theories and Applications, Rabat, October 2015, IEEEXplore, DOI: 10.1109/SITA .2015.7358408
Aimad Karkouch, Hajar Mousannif, Hassan Al Moatassime and Thomas Noel, “Data Quality Enhancement in Internet of Things Environment”, in Proceeding of the 12th ACS/IEEE International Conference on Computer Systems and Applications AICCSA, Marrakech, November 2015, IEEEXplore, DOI: 10.1109/AICCSA.2015.7507117
Sara Najam, Hajar Mousannif and Mohamed Ouzzif, “Building a Structured Collaboration System From XML Specification”, in Proceeding of the 12th ACS/IEEE International Conference on Computer Systems and Applications AICCSA, Marrakech, November 2015, IEEEXplore, DOI: 10.1109/AICCSA.2015.7507233
Aafaf Ouaddah, Hajar Mousannif and Abdellah Ait Ouahmane, “Access control in Internet Of Things : the road ahead”, in Proceeding of the 12th ACS/IEEE International Conference on Computer Systems and Applications AICCSA, Marrakech, November 2015, IEEEXplore, DOI: 10.1109/AICCSA.2015.7507090
Hajar Mousannif, Hiba Asri, Hassan Al Moatassime and Thomas Noel, ”Big data in Healthcare: Challenges and Opportunities”, In proceeding of International Workshop on Big Data 2015, Marrakech, June 2015, Morocco, IEEEXplore, DOI: 10.1109/CloudTech.2015.7337020
Younes Oulad Sayad, Hajar Mousannif and Michel Le Page, “Crop Management Using BIG DATA”, In proceeding of CloudTech2015, June 2015, Marrakech, Morocco, IEEEXplore, DOI: 10.1109/CloudTech.2015.7337003
Hajar Mousannif, Hasna Sabah, Yasmina Douiji and Younes Oulad Sayad, “From Big Data to Big Projects: A Step-by-Step Roadmap, in proceeding of International Symposium on Big Data Research and Innovation, collocated with 2nd FiCloud 2014 and 11th MobiWIS 2014, August 27 – 29, 2014, Barcelona, Spain, IEEE Xplore. DOI: 10.1109/FiCloud.2014.66
Hajar Mousannif and Ismail Khalil, “The human face of mobile”, Second IFIP TC5/8 International Conference, ICT-EurAsia 2014, Bali, Indonesia, April 14-17, 2014, Lecture Notes in Computer Science, Springer, DOI:10.1007/978-3-642-55032-4_1
Mohamed Riduan Abid, Ismail Fassi Fihri, Hajar Mousannif, Mohamed Bakhouya, Chaker El Amrani, Mohammed Aissaoui, Moulay Driss El Ouadghiri, Abdelkrim Haqiq, Awatif Hayar, Mohamed Essaaidi, MarUnivCloud: Towards a Moroccan inter-University Cloud, in proceeding of the 2nd World Conference on Complex Systems, November 10-13, 2014, Agadir, Morocco. IEEE Xplore, DOI: 10.1109/ICoCS.2014.7060981
Hajar Mousannif, Ismail Khalil, Stephan Olariu, “Cooperation in Static and Mobile Sensor-based Platforms for Situation, Activity and Goal Awareness”, in proceeding of SAGAware’11: International Workshop on Situation, Activity and Goal Awareness at the 13th ACM International Conference on Ubiquitous Computing (UbiComp2011), September 17-21, 2011, Beijing, China, ACM DL Digital Library, DOI: 10.1145/2030045.2030050
Hajar Mousannif, Said Rakrak, Hassan Al Moatassime, “a new clustering scheme for wireless sensor networks with mobile sinks”, in proceeding of the 12th international conference on information integration and web-based application & services (iiwas2010), 8-10 November 2010, Paris, France, ACM DL Digital Library,DOI: 10.1145/1971519.1971560
Hajar Mousannif, Said Rakrak, Hassan Al Moatassime, “Wireless Sensor Networks: a new event notification approach”, in proceeding of the 5th international symposium on i/v communications and mobile network (ISIVC), 2010; Sept. 30- oct. 2, Rabat, Morocco, IEEEXplore, DOI: 10.1109/ISVC.2010.5654713
Hajar Mousannif, Said Rakrak, Hassan Al Moatassime, “ an energy-efficient algorithm for reporting events over wireless sensor networks with mobile sinks“, International Conference on Next Generation Networks & Services NGNs 2010, Marrakech, Morocco, July 08 – 10, 2010. IEEEXplore, ISBN: 978-9954-9091-0-2
« Application de l’Intelligence Artificielle à l’Agriculture
: Réalisation du premier robot intelligent 100% Marocain », Programme
Al-Khawarizmi, Septembre 2020.
« Application de l’Intelligence Artificielle à l’Agriculture : Réalisation du premier robot intelligent 100% Marocain », Programme Al-Khawarizmi, Septembre 2020.
Erasmus+, Action: Higher education student and staff mobility between Programme and Partner Countries (KA107), University Of The West Of Scotland and Cadi Ayyad, 2019
« Mining the Web for Insights on Violence Against Women and Conflict-Related Gender-Based Violence in the MENA Region and Arab States», funded by the United Nations (10 out of 125 accepted).
“Enhancing Road safety with Big Data and Intelligent cooperative systems”: Ministry of transportation, CNRST Grant, (6 out of 122 accepted), 2017.
« Quantification et prédiction des niveaux d’apprentissage en temps réel dans les salles de classe connectées en utilisant l’Internet des Objets et l’Intelligence Artificielle (A-SRS) », Appel À Projets Socialement Responsables 2017, projet incubé à l’Université Cadi Ayyad.