Nur Syazreen Ahmad

Universiti Sains Malaysia, Hospital Universiti Sains Malaysia

Papers

24

Total Citations

715

H-Index

14

About

Nur Syazreen Ahmad is a prominent researcher specializing in autonomous mobile robotics, intelligent control systems, and sensor fusion technologies. Her work sits at the intersection of control engineering and robotics, where she has made substantial contributions to advancing how robots navigate, plan paths, and respond to uncertain environments. Her most cited work, a 2023 systematic review on autonomous mobile robot navigation (172 citations), established her as a leading voice in the field, while her 2024 comprehensive review on fuzzy logic control (109 citations) underscores her expertise in intelligent systems for managing nonlinear and uncertain dynamics. Ahmad has also made notable contributions to robust control design, demonstrated in her development of H∞-Fuzzy Logic Control for wheeled mobile robots and hybrid optimization strategies combining Whale Optimization and Particle Swarm algorithms for improved path planning. Her research extends to sensor fusion in GPS-denied environments, LiDAR-based obstacle avoidance, and time-to-collision prediction using novel Gaussian Process Regression approaches. With over 500 cumulative citations across her published work, Ahmad's research has meaningfully shaped the theoretical foundations and practical implementations of autonomous robotic systems, making her scholarship essential reading for engineers and researchers advancing the next generation of intelligent machines.

Research Focus

Key Achievements

14
H-Index
24
Papers
715
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
A systematic review on recent advances in autonomous mobile robot navigation
172 citations · 2023
📈 Most Prolific Year: 2024 (9 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Universiti Sains Malaysia, Hospital Universiti Sains Malaysia

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago