Safaa Amin

Ain Shams University, Paderborn University

Papers

11

Total Citations

62

H-Index

5

About

Dr. Safaa Amin is a pioneering researcher whose work bridges biomedical engineering, robotics, and environmental science. Her primary research focuses on developing intelligent control strategies for nanorobots in cancer therapy, where she has introduced novel algorithms to deliver therapeutic agents directly to malignant cells while minimizing damage to healthy tissue. Her most cited work, "A New Nano-robots Control Strategy for Killing Cancer Cells Using Quorum Sensing Technique and Directed Particle Swarm Optimization Algorithm" (2019, 12 citations), proposes a bio-inspired approach that mimics bacterial communication to coordinate nanorobot swarms. This is complemented by her development of the Directed Particle Swarm Optimization (DPSO) and Directed Jaya algorithms for targeted drug delivery, which have collectively garnered over 20 citations. Beyond nanomedicine, Dr. Amin has made significant contributions to environmental monitoring, using Ozone Monitoring Instrument (OMI) satellite data to validate aerosol optical depth measurements against ground-based sun photometers over Europe. Her earlier work in robotics includes environment exploration strategies using the Khepera mini-robot and the Teleworkbench platform, as well as indoor navigation through simultaneous localization and mapping (SLAM). This diverse portfolio demonstrates her ability to apply computational intelligence across domains, from cancer treatment to atmospheric science and autonomous navigation.

Research Focus

Key Achievements

5
H-Index
11
Papers
62
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
A New Nano-robots Control Strategy for Killing Cancer Cells Using Quorum Sensing Technique and Directed Particle Swarm Optimization Algorithm
12 citations · 2019
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Ain Shams University, Paderborn University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago