Navid Nizam, doctoral candidate in Dr. Xavier Intes's Functional & Molecular Optical Imaging Lab, and Xinrui Song, doctoral candidate in Dr. Pingkun Yan's Deep Imaging Analytics Lab, have both received the 2025 Belsky Award for Computational Sciences and Engineering.
The School of Engineering at RPI awards several Belsky awards each year to graduate students with a strong academic record and outstanding contributions to computer science engineering.
Navid's research focuses on Monte-Carlo simulation for volumetric reconstruction in turbid media for fluorescence tomography, using interdependently-developed deep learning approaches as well as conventionally used inverse solvers.
Xinrui's research focuses on adversarial image registration and clinically applicable deep learning tools.