HORCHANI Leïla

Research team

Engineering and Numerical Tools

Research themes

• Modeling & Optimization
• Operational Research
• Data Science
• Urban Mobility

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Educational activities

• Disciplines : Operational Research, Advanced Algorithms.
• Level  : Engineering studies 1st and 2nd years

Postgraduate Supervision (PhD)

• Afef Ghabri, Geolocation and fault tolerance in sensor networks, Co‑superised with Pr. M. Bellalouna, Defended on 2017, Manouba University
•  S. Sassi Mahfoudh, Probabilistic Texture Packing, Co‑supervised with Pr. M. Bellalouna, Defended on 2018, Manouba University

Selected publications

1. The Two‑Dimensional Probabilistic Bin‑Packing Problem: An average case analysis of FBS algorithm Recent advances on applied mathematics, Proceedings of the American conference on applied  mathematics (MATH ’08), pp:449‑454 Cambridge, Massachusetts, USA 2015.
2. New Geometric Geolocation Method for Tracking Patients in Medical Environments, Proceeding of
   AMBIENT2015, The Fifth International Conference on Ambient Computing, Applications, Services and Technologies, 65‑71.
3. Solving CSS‑Sprite Packing Problem Using a Transformation to the Probabilistic Non‑oriented Bin Packing Problem, In International Conference on Computational Science (pp. 561‑573). Springer
   2020
4. PTSP Solution Strategy for Motion Trajectory of UAV in Ubiquitous Sensor Network. Knowledge‑Based and Intelligent Information & Engineering Systems:Proceedings of the 24th International Conference KES‑2020, Procedia Computer Science, 176, pp.3191‑3199.
5. A Connected Mobility Scheme for Taxi Supply‑Demand Balancing in a Smart City Context. Computing and Informatics, Vol. 41, 1001‑1022, 2022.
6. On the Sustainability of Shared Mobility since COVID‑19: From Socially Structured to Social Bubble Vanpooling, Sustainability, 2022, vol.14, issue 23, 1‑22
7. A Context‑Aware, Computer‑Vision‑Based Approach for the Detection of Taxi Street‑Hailing Scenes from Video Streams, Sensors 20(10):4796.