Soura Boulaares

00216 71 180 108

Office: 202



Soura Boulaares a doctoral researcher in computer science, currently pursuing her Ph.D. at the University of Computer Science Tunisia (ENSI) and University Claude Bernard Lyon1 (UCBL). She holds a Master’s degree in computer science from FSJEGJ Tunisia, earned with first-place honor, during which she conducted research at the LIRIS Lab UCBL1 in France.

Throughout her academic journey, Soura has been actively engaged in various research labs, including LTSIRS Lab Insat in Tunisia, OpenCems Lab in Pau et pays de l’Adour, France, LTSIRIS Lab in Lyon, France, and DocSys Lab in FSJEGJ, Tunisia. Her research interests primarily revolve around Web technologies, the Internet of Things (IoT), and Web of Things (WoT) service composition. Her contributions to these fields have been recognized through her publications in international conferences and journals.

Aside from her research endeavors, Soura has accumulated over 5 years of teaching experience, further showcasing her commitment to academia. She has also played a significant role in projects like the PAQ DJSU FSJEGJ, contributing to educational advancements within this initiative. Additionally, Soura has actively participated in organizing and evaluating international and national conferences, demonstrating her leadership skills and dedication to fostering academic discourse.


Service composition : Web, IoT, WoT. Uncertainty , Variability , and  Configuration


IoT (Internet of Things), Algorithm and structured programming in C, Recommender systems, Agile project management, Distributed systems, Data visualization.


  1. Boulaares, Soura, Salma Sassi, Djamal Benslimane, Zakaria Maamar, and Sami Faiz. “A configurable composition language for the social IoT.” Service Oriented Computing and Applications (2023): 1-22.
  2. Boulaares, Soura, Salma Sassi, Djamal Benslimane, and Sami Faiz. “A hybrid approach: Uncertain configurable QoT-IoT composition based on fuzzy logic and genetic algorithm.” International Journal of Hybrid Intelligent Systems Preprint: 1-23.
  3. Boulaares, Soura, Salma Sassi, Djamal Benslimane, and Sami Faiz. “Uncertain Configurable IoT Composition With QoT Properties.” In International Conference on Hybrid Intelligent Systems, pp. 281-290. Cham: Springer Nature Switzerland, 2022.
  4. Boulaares, Soura, Salma Sassi, and Sami Faiz. “An Entropy-Based Approach: Handling Uncertainty in IoT Configurable Composition Reference Model (CCRM).” In International Conference on Model and Data Engineering, pp. 193-206. Cham: Springer Nature Switzerland, 2022.
  5. Boulaares, Soura, Salma Sassi, Djamal BenSlimane, and Sami Faiz. “A probabilistic approach: uncertain navigation of the uncertain web.” Concurrency and Computation: Practice and Experience 34, no. 23 (2022): e7194.
  6. Boulaares, Soura, Salma Sassi, Djamal Benslimane, and Sami Faiz. “Uncertain integration and composition approach of data from heterogeneous WoT health services.” In International Conference on Computational Science and Its Applications, pp. 177-187. Cham: Springer International Publishing, 2022.
  7. Boulaares, Soura, Salma Sassi, Djamal Benslimane, Zakaria Maamar, and Sami Faiz. “Toward a configurable thing composition language for the SIoT.” In International Conference on Intelligent Systems Design and Applications, pp. 488-497. Cham: Springer International Publishing, 2021.
  8. Boulaares, Soura, Asma Omri, Salma Sassi, and Djamal Benslimane. “A probabilistic approach: a model for the uncertain representation and navigation of uncertain web resources.” In 2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), pp. 24-31. IEEE, 2018.