Papers
3
Total Citations
36
H-Index
3
About
Mohamed Youssfi’s research lies at the intersection of social robotics, human-robot interaction, and computational intelligence, with a particular focus on enabling machines to perceive and respond to human social cues. His most cited work, “Social Robots as Cyber-Physical Actors in Entertainment and Education” (2019, 20 citations), established a foundational framework for deploying robots as interactive agents in real-world, human-centered environments. Youssfi has been a key proponent of the Lattice Computing (LC) paradigm, a novel approach for processing heterogeneous, real-world data with semantic meaning. In “Granule-Based-Classifier (GbC): A Lattice Computing Scheme Applied on Tree Data Structures” (2021, 10 citations), he demonstrated how LC can be used to create efficient, interpretable classifiers for complex data, a critical step for robots that must understand their surroundings. His work on “Head Pose Estimation Using Lattice Computing Techniques” (2020, 6 citations) further showcases his ability to reduce the computational burden of visual perception tasks, making real-time human-robot interaction more feasible. Collectively, Youssfi’s contributions advance the goal of creating socially aware robots that can operate intelligently and efficiently in dynamic, unstructured settings.
Research Focus
Key Achievements
Top Papers
- 1Social Robots as Cyber-Physical Actors in Entertainment and Education20 citations · 2019
- 2
- 3Head Pose Estimation Using Lattice Computing Techniques6 citations · 2020