Anh Phong Tran

This paper improves heuristic logic synthesis by using a database of optimal 4-input Boolean implementations to reduce gate count in larger circuits, achieving average improvements of 5.16% and 4.54% for 5- and 6-input circuits respectively.

This paper introduces a network curvature framework to identify cancer subtypes from multi-omic data, showing significant survival differences across cancers.

The paper analyzes two single-cell datasets to study how p21 and p53 dynamics influence cell cycle arrest and mitosis frequency after radiation exposure.

The paper develops a mathematical model to explain immune recruitment and drug resistance in metronomic chemotherapy using a mouse glioma model and validates it across different drug regimens.

This paper develops a method to synthesize distributed Boolean circuits using diffusible small molecules, enabling scalable computation beyond single-cell limitations.

The paper improves fNIRS analysis by developing a surface-based meshing pipeline for creating high-quality brain models, showing significant improvements in accuracy over existing methods.