Papers

2

Total Citations

9

H-Index

2

About

Donald Elmazi is a researcher whose work lies at the intersection of wireless sensor networks, fuzzy logic systems, and environmental robotics. His primary research focuses on optimizing the selection and coordination of actor nodes in Wireless Sensor and Actor Networks (WSANs), where he has pioneered the use of fuzzy-based decision-making systems to improve network efficiency and reliability. In his most cited work, "Application of Fuzzy Logic for Selection of Actor Nodes in WSANs — Implementation of Two Fuzzy-Based Systems and a Testbed" (2019, 6 citations), Elmazi developed novel frameworks that enable smarter, more adaptive node selection in complex sensor-actuator environments. Additionally, his research extends to practical environmental applications, as demonstrated in "A Waste Management Robot System" (2015, 3 citations), which addresses the pressing global challenge of kitchen garbage processing through robotic automation. This work highlights his commitment to applying computational intelligence to real-world sustainability problems. Though his citation counts reflect a growing field, Elmazi’s contributions are notable for bridging theoretical fuzzy logic with tangible testbed implementations, offering valuable insights for students and researchers working on intelligent sensor systems, robotics, and smart waste management technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Application of Fuzzy Logic for Selection of Actor Nodes in WSANs —Implementation of Two Fuzzy-Based Systems and a Testbed
6 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Fukuoka Institute of Technology, Polytechnic University of Tirana

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago