Adeleh Asemi

Corvinus University of Budapest

Papers

2

Total Citations

69

H-Index

2

About

Adeleh Asemi is a leading researcher at the intersection of artificial intelligence, library and information science (LIS), and human-computer interaction. Her pioneering work explores how AI logic can revolutionize library systems, as demonstrated in her highly cited 2018 taxonomy study on AI applications in Iranian libraries (61 citations), which systematically categorizes how branches of computer science can enhance information services. Dr. Asemi has also made significant contributions to usability evaluation, developing a novel fuzzy inference system (FIS) approach based on ISO 9241-210:2019 for interactive social robots (2022, 8 citations). This non-empirical, fully automated method represents a breakthrough in assessing system usability with high accuracy, particularly for emerging technologies like social robotics. Her research bridges theoretical frameworks and practical applications, offering robust tools for evaluating complex interactive systems. With a focus on integrating AI into LIS and advancing usability methodologies, Dr. Asemi’s work has substantial impact on both academic research and real-world system design, positioning her as a key figure in the evolution of intelligent, user-centered information environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
69
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
Artificial Intelligence(AI) Application in Library Systems in Iran: A Taxonomy Study
61 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Corvinus University of Budapest

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago