Qianqian Fang

Associate Professor and Associate Chair for Research and Graduate Affairs,  Bioengineering
Affiliated Faculty,  Electrical and Computer Engineering

Contact

Social Media

Office

  • 223 ISEC
  • 617.373.3829

Research Focus

Innovations in translational medical imaging devices to better diagnose cancers, low-cost point-of-care diagnostic tools to delivery life-saving medicines to the resource-poor regions, and high performance computing tools to facilitate the development of the next-generation imaging methods

Education

  • 2005 PhD Biomedical Engineering Thayer School of Engineering, Dartmouth College
  • 1999 B.Eng. Electrical Engineering University of Electronic Science and Technology of China

Honors & Awards

  • 2021 College of Engineering Faculty Fellow
  • Leading Innovation in Reimagining Global Health, Innovation Countdown 2030 Initiative

Professional Affiliations

  • OSA, The Optical Society of America

Research Overview

Innovations in translational medical imaging devices to better diagnose cancers, low-cost point-of-care diagnostic tools to delivery life-saving medicines to the resource-poor regions, and high performance computing tools to facilitate the development of the next-generation imaging methods

Computational Optics & Translational Imaging Lab

The mission of the Computational Optics & Translational Imaging (COTI) Lab is to develop innovative optical imaging techniques and computational methods that can help diagnose and fight diseases, and ultimately improve the health and well-being of all.

Computational Optics & Translational Imaging Lab

Selected Research Projects

  • NeuroJSON – A Scalable, Searchable and Verifiable Neuroimaging Data Platform
    • – Principal Investigator, National Institutes of Health
  • A Versatile High-Performance Optical Mammography Co-Imager
    • – Principal Investigator, National Institutes of Health
  • GPU-Accelerated Monte Carlo Photon Transport Simulation Platform
    • – Principal Investigator, National Institutes of Health
  • Next-Generation Optical Brain Functional Imaging Platform
    • – Principal Investigator, National Institutes of Health

Department Research Areas

Selected Publications

  • Shijie Yan and Qianqian Fang. (2020). Hybrid mesh and voxel based Monte Carlo algorithm for accurate and efficient photon transport modeling in complex bio-tissues. Biomed. Opt. Express, 11(11), 6262-6270. 10.1364/BOE.409468
  • Yuan, Yaoshen, Yan, Shijie, Fang, Qianqian (2021). Light transport modeling in highly complex tissues using the implicit mesh-based Monte Carlo algorithm. Biomedical Optics Express, 12(1),147. 10.1364/BOE.411898
  • A. Phong Tran, S. Yan, Q. Fang, Improving Model-Based fNIRS Analysis Using Mesh- Based Anatomical and Light-Transport Models, Neurophotonics, 7(1), 2020, 015008
  • Y. Yuan, P. Cassano, M. Pias, Q. Fang, Transcranial Photobiomodulation with Near-Infrared Light from Childhood to Elderliness: Simulation of Dosimetry, Neurophotonics, 7(1), 2020, 015009
  • S. Yan, A.P. Tran, Q. Fang, A Dual-Grid Mesh-Based Monte Carlo Algorithm for Efficient Photon Transport Simulations in Complex 3-D Media, Journal of Biomedical Optics, 24(2), 2019, 020503
  • Q. Fang, S. Yan, Graphics Processing Unit-Accelerated Mesh-Based Monte Carlo Photon Transport Simulations, Journal of Biomed. Optics, 24(11), 2019, 115002
  • P. Cassano, A.P. Tran, H. Katnani, B.S. Bleier, M.R. Hamblin, Y. Yuan, Q. Fang, Selective Photobiomodulation for Emotion Regulation: Model-Based Dosimetry Study, Neurophotonics, 6(1), 2019, 015004

Faculty

Mar 02, 2023

Designs for a Non-Invasive Brain Imaging Head Probe

BioE Associate Professor Qianqian Fang was awarded a patent for “Optically monitoring brain activities using 3D-aware head-probe.”

Faculty

Nov 02, 2022

2022 Stanford University Annual Assessment of Author Citations

The following COE professors are among the top scientists worldwide selected by Stanford University representing the top 2 percent of the most-cited scientists with single-year impact in various disciplines. The selection is based on the top 100,000 by c-score (with and without self-citations) or a percentile rank of 2% or above. The list below includes […]

Faculty

Apr 28, 2022

FY23 TIER 1 Award Recipients

Congratulations to the 15 COE faculty and affiliates who were recipients of FY23 TIER 1 Interdisciplinary Research Seed Grants for 13 different projects.

Faculty

Feb 17, 2022

Method to Detect and Locate Small Tumors

BioE Associate Professor Qianqian Fang was awarded a patent for designing a “Method to localize small and high contrast inclusions in ill-posed model-based imaging modalities.”

Faculty

Dec 23, 2021

COE Professors Selected in Stanford University List of Top 2% Scientists Worldwide

The following COE professors are among the top scientists worldwide selected by Stanford University representing the top 2 percent of the most-cited scientists with single-year impact in various disciplines. The selection is based on the top 100,000 by c-score (with and without self-citations) or a percentile rank of 2% or above. The list below includes […]

Spotlight Story

Oct 02, 2020

PhD Spotlight: Morris Vanegas, PhD’21 – Bioengineering

I finished my PhD in bioengineering with a concentration in medical imaging. For my dissertation, I designed, built, and characterized three diffuse optical imaging systems—a smartphone-based oxygen saturation sensor, a modular brain imaging system, and a diffuse optical mammography instrument.

Faculty

Jun 01, 2016

Fang Awarded $1.7M NIH Grant

BioE Assistant Professor Qianqian Fang was awarded a five-year $1.7M NIH grant for "A Versatile High-Performance Optical Mammography Co-Imager".

Sep 04, 2015

New Faculty Spotlight: Qianqian Fang

Qianqian Fang joins the Bioengineering department in Fall 2015 as an Assistant Professor.

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