Mehdi Bahrami

Fujitsu (United States)

Papers

1

Total Citations

2

H-Index

1

About

Dr. Mehdi Bahrami is a researcher at the forefront of autonomous systems and human-robot interaction, with a particular focus on assistive healthcare technologies. His work centers on developing intelligent robotic agents capable of autonomous verbal communication and decision-making, drawing inspiration from human sensory processing. In his highly cited 2019 paper, "A Deep Learning Based Autonomous Mobile Robotic Assistive Care Giver," Dr. Bahrami proposed a novel theoretical framework for autonomous agents based on the five human senses, advancing the integration of deep learning with mobile robotics for caregiving applications. This foundational contribution has garnered attention for its potential to transform elderly and patient care through more natural, responsive robotic assistance. His research bridges artificial intelligence, robotics, and healthcare, aiming to create systems that can perceive, reason, and interact with humans in complex, real-world environments. Dr. Bahrami’s work continues to influence the design of empathetic, autonomous assistants, marking him as a key innovator in the growing field of socially assistive robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A Deep Learning Based Autonomous Mobile Robotic Assistive Care Giver
2 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Fujitsu (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago