Qianqian Fang

Associate Professor,  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

Feb 26, 2024

Northeastern Among Top 100 Universities for Utility Patents

Northeastern University, recognized for its excellence in innovation and entrepreneurship, has once again been named one of the top 100 universities worldwide for securing utility patents by the National Academy of Inventors.

Faculty

Dec 07, 2023

2023 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% 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 those […]

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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