Papers

3

Total Citations

80

H-Index

3

About

Zeeshan Rasool is a pioneering researcher at the intersection of robotics, human-robot interaction, and sustainability. His work spans three critical domains: ecological impact assessment of AI-driven industries, psycho-physiological modeling of human trust, and computational emotion systems for empathic robots. Rasool’s most impactful contribution is his 2024 study on “Robots for sustainability,” which evaluates ecological footprints across leading AI nations—a timely analysis that has already garnered 39 citations for addressing the environmental costs of automation. His foundational 2016 paper on “Exploring Psycho-Physiological Correlates to Trust” (31 citations) introduced a novel methodology combining subjective surveys with objective physiological measures during natural human-robot dialogs, enabling more nuanced trust modeling. Earlier, his 2015 work on “Empathic Interaction Using the Computational Emotion Model” (10 citations) pioneered a framework for robots to exhibit parallel and reactive empathic responses modulated by personality and mood factors. Together, these contributions demonstrate Rasool’s unique ability to bridge technical robotics with human-centered design and global sustainability challenges, making his research essential reading for scholars interested in responsible AI development and socially intelligent machines.

Research Focus

Key Achievements

3
H-Index
3
Papers
80
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Robots for sustainability: Evaluating ecological footprints in leading AI-driven industrial nations
39 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Muhammad Nawaz Sharif University of Engineering & Technology, University of Malaya

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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