Papers

4

Total Citations

25

H-Index

3

About

Ali Eydgahi is a researcher whose work bridges robotics, computer simulation, and cybersecurity. His key research areas include robotic manipulator simulation, inverse kinematics using fuzzy logic and genetic algorithms, and web security. One of his most notable contributions is the development of ROBOSIM, a pioneering computer animation system for robotic manipulators and workcells that used three-dimensional graphics on an IBM PC, earning 12 citations. This work laid the foundation for accessible robotic simulation tools. He also proposed a novel defense mechanism against web crawler intrusions (8 citations), enhancing website privacy and security by detecting unwanted bots. In robotics, Eydgahi developed a genetic-based fuzzy model for inverse kinematics solutions (3 citations), optimizing membership functions for robotic manipulators. Additionally, he contributed to STEM education through a partitioning algorithm for automated part delivery systems in manufacturing (2 citations), providing undergraduate students with hands-on design experience. His work demonstrates a commitment to advancing both technical innovation and educational practice, making complex systems more accessible and secure.

Research Focus

Key Achievements

3
H-Index
4
Papers
25
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
A computer animation of robotic manipulators and workcells
12 citations · 1991
📈 Most Prolific Year: 1991 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: SUNY New Paltz, Eastern Michigan University, Oakland University, University of Maryland Eastern Shore

Top Papers

  1. 1
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  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago