Putri Wulandari
Papers
1
Total Citations
2
H-Index
1
About
Dr. Putri Wulandari is a rising researcher in biomedical engineering and computational diagnostics, with a focus on advancing surgical precision through machine learning. Her work centers on the intersection of signal processing and deep learning, particularly in the context of orthopedic procedures. In her most-cited paper, "Bone Drilling Vibration Signal Classification Using Convolutional Neural Network to Determine Bone Layers" (2024), she introduces a novel approach to real-time bone layer identification during drilling. By applying convolutional neural networks to classify vibration signals, Wulandari addresses a critical challenge in surgery: preventing damage to underlying tissues. This contribution has the potential to improve patient outcomes and reduce surgical errors, earning early recognition with 2 citations. While her citation count is modest, the work signals a promising trajectory in a niche area of medical AI. Wulandari’s research exemplifies how deep learning can enhance tactile feedback in surgical tools, bridging the gap between engineering and clinical practice. Her innovative methodology and focus on practical, life-saving applications mark her as a researcher to watch in the evolving field of intelligent surgical systems.
Research Focus
Key Achievements
Top Papers
- 1