Designation: Lecturer
Contact: 0733135137
School/Institute: Computer Science and Information Technology
Department: Computer Science
Email: juliet.moso@dkut.ac.ke

Academic Background

Qualification Institution Year
PhD. Computer Science Université de Reims Champagne-Ardenne 2022
MSc. Computer Science University of Nairobi 2011
BSc. Computer Science Egerton University 2007

Areas of Expertise

  • Data Analytics
  • Database Systems
  • Artificial Intelligence
  • Machine learning

Work Experience

  • May 2022 – To Date: Director, Centre for Open, Distance and E-Learning, Dedan Kimathi University of Technology
  • November 2014 – To Date: Lecturer, Dedan Kimathi University of Technology
  • February 2018 – January 2020: Deputy Director, ICT Directorate, Dedan Kimathi University of Technology
  • May 2015 – April 2016: Examination coordinator, Dedan Kimathi University of Technology
  • January 2014 – November 2014: Audit Associate 1- Information Technology, Kenya National Audit Office
  • September 2011 – December 2013: Analyst, Data Reporting, Bridge International Academies
  • July 2009 – February 2011: MIS Executive, Essar Telecom-Aegis Services Kenya
  • June 2007 – June 2009: Software Development Manager/Senior Systems Analyst, Amtech Technologies Limited

Other University and National Responsibilities

  • Director Center for Open, Distance and eLearning

Publications

  1. Books and Book Chapters
    • Our Hearts can fail us – Youth edition
  2. Peer Reviewed Journal Publications
    • Moso, J. C., Cormier, S., de Runz, C., Fouchal, H., & Wandeto, J. M. (2021,November). Anomaly Detection on Data Streams for Smart Agriculture. Agriculture, 11(11), pp.1083.
      https://doi.org/10.3390/agriculture11111083
    • Jonah. K. Kenei , Juliet. C. Moso , Elisha T. Opiyo Omullo , Robert Oboko . “Deep CNN with Residual Connections and Range Normalization for Clinical Text Classification.” Computer Science and Information Technology 7.4 (2019) 111 – 127. doi: 10.13189/csit.2019.070402
      http://repository.dkut.ac.ke:8080/xmlui/handle/123456789/965
    • Kenei, J., Opiyo, E. T. O., Moso, J. & Oboko, R. 2018, ‘Clinical Documents Summarization using Text Visualization Technique’, International Journal of Computer and Information Technology, Volume 07– Issue 04, July 2018, pp. 139-156. http://41.89.227.156:8080/xmlui/handle/123456789/767
    • Moso, J. & Kenei, J. 2018, ‘Credit Card Fraud Detection Using Bayes Theorem’, International Journal of Computer and Information Technology, Volume 07– Issue 04, July 2018, pp. 184-189.
      https://www.ijcit.com/archives/volume7/issue4/IJCIT070406.pdf
    • Musyoka, W. M. & Moso, J. 2018, ‘Quality of Experience (QoE) Measurement and Its Challenges in Mobile Networks for Multimedia’, International Journal of Computer and Information Technology, Volume 07– Issue 01, January 2018, pp. 39-44.
      http://repository.dkut.ac.ke:8080/xmlui/handle/123456789/4793
  3. Publications in conference proceedings
  • Moso, J. C., Cormier, S., de Runz, C., Fouchal, H., & Wandeto, J. M. (2022, January). ELSCP pour la détection d’anomalies dans les flux de données issues de l’agriculture. In Extraction et Gestion des Connaissances 2022 (EGC 2022) (pp. 495-496). Editions RNTI.
    https://hal.archives-ouvertes.fr/hal-03610042/document
  • Moso, J. C., Cormier, S., Fouchal, H., de Runz, C., & Wandeto, J. (2021, June). Abnormal behaviour detection in farming stream data. In: Boumerdassi S., Ghogho M., Renault É. (eds) International Conference on Smart and Sustainable Agriculture. SSA 2021., Communications in Computer and Information Science, vol 1470, pp. 44-56. Springer, Cham.
    https://link.springer.com/chapter/10.1007/978-3-030-88259-4_4
  • Moso, J. C., Cormier, S., Fouchal, H., de Runz, C., Wandeto, J. M., & Aniss, H. (2021, June). Road Speed Signatures from C-ITS messages. In ICC 2021-IEEE International Conference on Communications (pp. 1-6). IEEE.
    https://ieeexplore.ieee.org/abstract/document/9500949
  • Moso, J. C., Cormier, S., Fouchal, H., de Runz, C., & Wandeto, J. (2020, December). Trajectory User Linking in C-ITS Data Analysis. In GLOBECOM 2020-2020 IEEE Global Communications Conference (pp. 1-6). IEEE.
    https://ieeexplore.ieee.org/abstract/document/9322253
  • Moso, J. C., Boutahala, R., Leblanc, B., Fouchal, H., de Runz, C., Cormier, S., & Wandeto, J. (2020, November). Anomaly Detection on Roads Using C-ITS Messages. In International Workshop on Communication Technologies for Vehicles (pp. 25-38). Springer, Cham.
    https://link.springer.com/chapter/10.1007/978-3-030-66030-7_3

Papers presented in Conferences, Seminars and Workshops

  • ELSCP pour la détection d’anomalies dans les flux de données issues de l’agriculture.
  • Abnormal behaviour detection in farming stream data.
  • Road Speed Signatures from C-ITS messages.
  • Trajectory User Linking in C-ITS Data Analysis.
  • Anomaly Detection on Roads Using C-ITS Messages.

Research Interests

  • Smart farming, Internet of Things, Intelligent Transportation Systems, Security and Privacy management