Zaid Ghazal

University of Michigan–Dearborn

Papers

1

Total Citations

1

H-Index

1

About

Zaid Ghazal is a researcher whose work lies at the intersection of control systems, robotics, and optimization. His primary research focuses on the systematic auto-tuning of PID controllers—a cornerstone of modern control engineering—with a particular emphasis on how initial states and exploration-exploitation strategies influence performance. In his most cited work, Ghazal introduces a framework-driven approach that rigorously evaluates these factors, applying Bayesian Optimization and Differential Evolution to mobile robots. This contribution offers a more principled and reproducible methodology for PID tuning, moving beyond ad-hoc practices. While still early in his career, with his 2025 paper already garnering attention, Ghazal’s work is notable for bridging theoretical optimization with practical robotic applications. His research provides a valuable toolkit for engineers and researchers seeking to automate controller design in dynamic environments, promising to enhance both the efficiency and reliability of autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Systematic Evaluation of Initial States and Exploration-Exploitation Strategies in PID Auto-Tuning: A Framework-Driven Approach Applied on Mobile Robots
1 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Michigan–Dearborn

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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