Papers

2

Total Citations

39

H-Index

2

About

B. B. Zaidan is a leading researcher at the intersection of artificial intelligence, fuzzy decision-making, and robotics, with a particular focus on autonomous systems and human-robot interaction. Their work is distinguished by the development of novel mathematical frameworks—such as fuzzy trigonometric operators and type-2 Pythagorean fuzzy sets—to solve complex, real-world problems in urban transport and modular robotics. In a highly cited 2023 study (28 citations), Zaidan proposed a groundbreaking model for assessing the integration of social robots into urban transport systems, addressing the critical challenge of forming meaningful human-robot relationships in public spaces. This work has set a benchmark for future policy and design in autonomous mobility. More recently, in 2024 (11 citations), Zaidan introduced a dynamic localization-based utility decision approach under type-2 Pythagorean fuzzy sets for the Internet of Modular Self-Reconfiguration Robot Things, enabling more adaptive and intelligent robotic systems. Their contributions are notable for bridging theoretical fuzzy logic with practical engineering applications, earning recognition for advancing decision-making under uncertainty. Zaidan’s research continues to shape the future of intelligent, socially aware robotics and smart urban infrastructure.

Research Focus

Key Achievements

2
H-Index
2
Papers
39
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Assessing alternatives of including social robots in urban transport using fuzzy trigonometric operators based decision-making model
28 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: National Yunlin University of Science and Technology, S P Jain School of Global Management

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago