Universiti Sains Malaysia

🇲🇾 MY

Papers

231

Total Citations

6,346

H-Index

34

Researchers

300

About

Universiti Sains Malaysia (USM) has established itself as a dynamic and multidisciplinary research powerhouse, with particular strength at the intersection of robotics, artificial intelligence, and intelligent systems. Researchers at USM have made remarkable strides in autonomous mobile robot navigation, path planning, and multi-robot coordination, producing survey and review papers that have become essential references for the global robotics community, accumulating hundreds of citations and shaping the trajectory of the field. USM's robotics research spans both foundational and applied domains. The institution has produced landmark comparative and systematic reviews on mobile robot path planning — including classical, meta-heuristic, and evolutionary approaches — that collectively command over 900 citations, reflecting their value as go-to resources for researchers and engineers worldwide. Work on multi-robot space exploration using advanced optimization algorithms such as the Whale Optimization Algorithm and Aquila Optimizer demonstrates USM's commitment to pushing the frontier of autonomous, coordinated systems. Complementing this, strong contributions to fuzzy logic control, genetic algorithms, and multi-criteria decision-making for robot selection highlight the breadth of the institution's AI-driven engineering research. Beyond robotics, USM researchers have made significant contributions to Internet of Things communication protocols, machine learning clustering algorithms, and AI adoption in organizations, underscoring a holistic approach to intelligent, connected systems. With nearly 870 citations on clustering algorithms alone, the institution's impact in machine learning is undeniable. For prospective students and collaborators, USM offers a vibrant, internationally engaged research environment where cutting-edge work in autonomous systems, IoT, and AI converges. The institution's consistent output of highly cited, field-defining reviews and novel algorithmic contributions makes it an ideal partner for ambitious research ventures.

Research Focus

Key Achievements

34
H-Index
231
Papers
6,346
Total Citations
300
Faculty & Researchers
🏆 Most Cited Paper
A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects
869 citations · 2022
📊 Avg Citations/Paper: 27
📈 Most Prolific Year: 2024 (31)
🔬 Research Focus: Computer science, Artificial intelligence, Robot, Mobile robot, Engineering, Mathematics

Top Papers

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

Faculty & Researchers

Content generated · 2 days ago