Papers
2
Total Citations
83
H-Index
2
About
Dr. Joanne Lim bridges the worlds of surgical precision and artificial intelligence. Her early work established a critical link between motor performance and surgical outcomes, as demonstrated in her highly cited 2005 study on laparoscopic cholecystectomy. This foundational research, with 42 citations, highlighted how objective metrics of surgeon dexterity directly correlate with error rates, influencing surgical training protocols. More recently, Dr. Lim has made a significant impact in computer vision with her 2023 paper on ERNet, an Efficient and Reliable Human-Object Interaction Detection Network. This work, already garnering 41 citations, tackles the pressing challenges of model inefficiency and prediction unreliability in autonomous systems. By advancing HOI detection, Dr. Lim’s research enhances the ability of self-driving vehicles and collaborative robots to safely interpret and interact with their environments. Her career demonstrates a unique trajectory from surgical skill assessment to cutting-edge AI, consistently focusing on improving human performance and machine reliability in high-stakes applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2ERNet: An Efficient and Reliable Human-Object Interaction Detection Network41 citations · 2023