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Monte Carlo eXtreme (MCX) - a Physically-Accurate Photon Simulator

Dr. Qianqian Fang uses Northeastern's Discovery Cluster in his work developing GPU-accelerated optical imaging techniques.

Dr. Qianqian Fang's research is focused on developing translational cancer imaging systems using near-infrared based diffuse optical tomography, wearable neuroimaging using fNIRS, and high performance computational methods to facilitate the development of the next-generation optical imaging techniques.

Monte Carlo eXtreme, or MCX, is a Monte Carlo photon simulator, developed by Dr. Fang and his team, for modeling light transport in 3-D turbid media. It uses graphics processing units (GPUs) to simulate many photons simultaneously, making it one of the fastest and most accurate photon modeling tools.

Qianqian Fang
Associate Professor, Bioengineering, Northeastern University College of Engineering

Research projects

Developing Advanced Materials for a Sustainable Energy Future
AI That Speaks Human About Health
Electron Heating in Kinetic-Alfvén-Wave Turbulence
Sailing the Symbiosis Seascape
YARD: A Curation Workflow Tool
Wrangle Range Modeling
Revolutionizing Materials Design with Computational Modeling
A Safer Way to See Inside Cells
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