About

Jalel Ben-Othman is a leading researcher at the intersection of intelligent surveillance, vehicular networks, and affective computing, with a focus on building secure, emotion-aware smart city infrastructures. His work pioneers the integration of aerial and ground systems—using mobile robots, smart UAVs, and IoT devices—for applications ranging from epidemic prevention to traffic monitoring. Ben-Othman has introduced novel frameworks for virtual emotion informatics and task-oriented surveillance, notably in polygon spaces and smart complex environments. He also advances the discourse on Green AI versus Red AI in 6G convergent networks, balancing efficiency with accuracy. His highly cited papers, such as "Intelligent Aerial-Ground Surveillance and Epidemic Prevention" (32 citations) and "Task-Oriented Surveillance Framework for Virtual Emotion Informatics" (15 citations), reflect significant impact. Additional contributions include ferry-assisted solutions for wireless sensor networks and geographic segmentation security barriers for cooperative vehicular systems. With over a dozen recent publications addressing security, disaster prevention, and collision avoidance, Ben-Othman is shaping the future of intelligent, sustainable, and emotionally responsive urban ecosystems.

Research Focus

Key Achievements

7
H-Index
11
Papers
123
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent Aerial-Ground Surveillance and Epidemic Prevention with Discriminative Public and Private Services
32 citations · 2022
📈 Most Prolific Year: 2023 (5 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Université Paris-Saclay, Centre National de la Recherche Scientifique, Université Paris Cité, Laboratoire des signaux et systèmes, Paris-Est Sup

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago