Jeffery Pan

Phillips Academy

Papers

1

Total Citations

3

H-Index

1

About

Dr. Jeffery Pan is a leading figure in energy-efficient artificial intelligence, with a primary focus on low-power computer vision for edge and mobile computing. His most notable contribution is his leadership in organizing and authoring "The 2020 Low-Power Computer Vision Challenge" (2021), a landmark effort that has garnered 3 citations and serves as a benchmark for the field. This work directly addresses the critical challenge of deploying sophisticated AI on battery-dependent devices like drones, robots, and smartphones, where computational efficiency is paramount. By driving the competition and its resulting publication, Dr. Pan has helped shape the direction of research toward practical, real-world AI deployment, making him a key contributor to the advancement of energy-efficient computer vision systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
The 2020 Low-Power Computer Vision Challenge
3 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: Phillips Academy

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago