Ayat Alroshan

Skyline University College

Papers

1

Total Citations

5

H-Index

1

About

Ayat Alroshan is an emerging researcher at the intersection of artificial intelligence, autonomous systems, and human-machine interaction. Her work focuses on building trust in self-driving technologies, a critical challenge as driverless cars transition from concept to reality. In her most-cited paper, "Virtual Trust on Driverless Cars Using Fuzzy Logic Design" (2022, 5 citations), Alroshan pioneers a novel approach to quantifying and modeling human confidence in autonomous vehicles. By applying fuzzy logic—a framework that handles uncertainty and imprecision—she addresses how passengers can develop reliable trust in robotic cars that operate without human interference. This contribution is particularly significant as it bridges the gap between technical system reliability and the psychological acceptance required for widespread adoption. Alroshan’s research explores how these vehicles, powered by cutting-edge technology, can seamlessly integrate into daily life, enhancing safety and convenience. Her work lays foundational insights for designing more intuitive and trustworthy autonomous systems, making her a rising voice in the field of intelligent transportation and human-robot interaction.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Virtual Trust on Driverless Cars Using Fuzzy Logic Design
5 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Skyline University College

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago