Wan Faizura Wan Tarmizi

About

Dr. Wan Faizura Wan Tarmizi is a robotics and control systems researcher whose work bridges underwater imaging, intelligent control, and educational automation. Her most cited paper (14 citations) introduces an enhanced background filtering and wavelet fusion method for deep-sea underwater images, significantly improving visibility and detection rates for autonomous underwater vehicles—a critical contribution to marine robotics. She has also advanced robotic manipulation through a Particle Swarm Optimization-tuned PID controller for multi-fingered robot hands (12 citations), demonstrating how swarm intelligence can optimize precision in complex electromechanical systems. More recently, Dr. Wan Tarmizi has explored IoT-enabled control architectures for educational robotic arms and developed an adaptive PID-fuzzy logic hybrid controller that balances stability with precision, achieving robust performance in dynamic environments. Her work is notable for its practical, application-driven focus—from deep-sea exploration to classroom robotics—and for integrating classical control theory with modern optimization and fuzzy logic. With a growing citation footprint and recent publications extending into 2025, Dr. Wan Tarmizi is establishing herself as a versatile contributor to intelligent robotic systems and control engineering.

Research Focus

Key Achievements

Top Papers

1. 1
   Integration of enhanced background filtering and wavelet fusion for high visibility and detection rate of deep sea underwater image of underwater vehicle

   14 citations · 2017
2. 2
   A Particle Swarm Optimization-PID controller of a DC Servomotor for Multi-Fingered Robot Hand

   12 citations · 2016
3. 3
   Control Robotic Arm Workstation Using IoT System for Education

   3 citations · 2024
4. 4
   Integration of Adaptive PID and Fuzzy Logic Controller for Improved Precision and Stability in Robotic Arms

   1 citations · 2025

Key Collaborators

Contact & Links