Macau University of Science and Technology

🇲🇴 MO

Papers

175

Total Citations

3,756

H-Index

34

Researchers

170

About

Macau University of Science and Technology (MUST) has established itself as a dynamic and multidisciplinary research powerhouse, with particular strengths spanning robotics, intelligent manufacturing, decentralized systems, and advanced materials. Researchers at MUST are pushing boundaries across fields that matter deeply to both industry and society, making the institution an increasingly attractive destination for ambitious scholars and collaborative partners alike. At the heart of MUST's robotics and automation agenda lies a formidable body of work on semiconductor manufacturing and cluster tool scheduling. Leveraging Petri net modeling and combinatorial optimization, MUST researchers have developed groundbreaking cyclic scheduling algorithms for single-arm and dual-arm multi-cluster tools, with key papers accumulating over 130 citations—signaling widespread influence across academic and industrial communities. This work directly accelerates wafer fabrication efficiency, addressing real bottlenecks in global semiconductor supply chains. Beyond manufacturing, MUST has made notable contributions to multi-robot systems, including maritime patrolling strategies, WiFi-based indoor positioning using deep fuzzy forests, and human-robot collaboration in smart warehouses. Their research on distributed k-winner-take-all networks and NSGA-II-based mobile robot path planning reflects a sophisticated command of swarm intelligence and autonomous coordination. The institution also distinguishes itself through interdisciplinary ambition. Work on stimuli-responsive hydrogels, neuromorphic synaptic devices, and continuum manipulator control speaks to a materials-meets-robotics vision. Meanwhile, papers on Web3-enabled decentralized autonomous organizations demonstrate MUST's expanding footprint in intelligent operations and digital governance. With consistently high citation rates and a research portfolio that bridges theory and application, MUST offers prospective students and collaborators a uniquely vibrant environment where robotics, AI, and smart systems converge with real-world impact.

Research Focus

Key Achievements

34
H-Index
175
Papers
3,756
Total Citations
170
Faculty & Researchers
🏆 Most Cited Paper
Stimuli-Responsive Toughening of Hydrogels
135 citations · 2021
📊 Avg Citations/Paper: 21
📈 Most Prolific Year: 2024 (42)
🔬 Research Focus: Computer science, Artificial intelligence, Engineering, Robot, Mathematics, Distributed computing

Top Papers

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Faculty & Researchers

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