Papers

2

Total Citations

29

H-Index

2

About

Zainab Riaz is a researcher whose work bridges advanced materials science and intelligent robotics, with a focus on self-powered systems and autonomous navigation. Her key research areas include energy harvesting, wearable physiological monitoring, and simultaneous localization and mapping (SLAM) for mobile robots. Her most cited work, “Advances in polyvinylidene fluoride (PVDF) for self-powered wearable physiological monitoring and energy harvesting applications” (2025, 21 citations), explores the use of PVDF-based materials to create flexible, self-sustaining sensors that can monitor human health without external power sources—a critical step toward next-generation wearable electronics. Earlier, she contributed to the field of autonomous robotics with “A fully autonomous indoor mobile robot using SLAM” (2010, 8 citations), which presents a complete SLAM solution for indoor environments. Using a Pioneer PeopleBot equipped with a SICK laser measurement system, her work addressed feature extraction, autonomous exploration, and navigation based on a continuously updating map. This dual expertise—from nanoscale material engineering to real-world robotic autonomy—demonstrates her versatility and impact across disciplines, making her research relevant to students and engineers working on smart systems, healthcare technology, and autonomous agents.

Research Focus

Key Achievements

2
H-Index
2
Papers
29
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Advances in polyvinylidene fluoride (PVDF) for self-powered wearable physiological monitoring and energy harvesting applications
21 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Monash University, National University of Sciences and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago