Chun Sing Lai

Brunel University of London

Papers

1

Total Citations

16

H-Index

1

About

Dr. Chun Sing Lai is a leading researcher at the intersection of artificial intelligence, robotics, and clean energy systems, with a particular focus on the hydrogen lifecycle. His most-cited work, a 2025 systematic review on AI and robotics in hydrogen production, storage, and transportation, has already garnered 16 citations, reflecting its timely impact on the global energy transition. Dr. Lai's major contributions lie in demonstrating how intelligent automation can enhance efficiency, safety, and scalability across the entire hydrogen value chain—from electrolysis to distribution. By synthesizing cutting-edge advancements, his research provides a roadmap for integrating AI-driven optimization and robotic systems into hydrogen infrastructure, addressing critical challenges in cost reduction and operational reliability. This work positions him at the forefront of sustainable energy innovation, bridging the gap between computational intelligence and real-world energy applications. Dr. Lai's scholarship not only advances academic understanding but also offers practical solutions for achieving net-zero emissions, making his research indispensable for students and professionals working toward a cleaner, more automated energy future.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Artificial intelligence and robotics in the hydrogen lifecycle: A systematic review
16 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Brunel University of London

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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