Min Qi

Tianjin Chengjian University

Papers

1

Total Citations

22

H-Index

1

About

Dr. Min Qi is a leading researcher at the intersection of artificial intelligence and environmental engineering, with a primary focus on leveraging computer vision (CV) and machine learning for intelligent building and environmental monitoring. Their most impactful work, the 2023 review "Computer Vision Technology for Monitoring of Indoor and Outdoor Environments and HVAC Equipment," has already garnered 22 citations, establishing a foundational framework for non-contact, AI-driven sensing. Dr. Qi's major contributions lie in demonstrating how CV, IoT, and robotics can replace traditional contact sensors for real-time tracking of indoor air quality, outdoor pollution, and HVAC system performance. This work is pivotal for advancing smart buildings and energy-efficient climate control. By synthesizing cutting-edge technologies, Dr. Qi has provided a roadmap for integrating visual data into environmental management, significantly reducing the need for physical instrumentation. Their research is not only highly cited but also directly applicable to creating healthier, more sustainable living and working spaces, marking them as a key innovator in the field of intelligent environmental monitoring.

Research Focus

Key Achievements

1
H-Index
1
Papers
22
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Computer Vision Technology for Monitoring of Indoor and Outdoor Environments and HVAC Equipment: A Review
22 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Tianjin Chengjian University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago