Qianqian Fang
Associate Professor,
Bioengineering
Affiliated Faculty,
Electrical and Computer Engineering
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.
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
Jan 31, 2025
2024 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 who published a paper in 2024 or later.
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.
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.
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.”
Nov 02, 2022
2022 Stanford University Annual Assessment of Author Citations
A group of 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.
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.
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.”
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 […]
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.
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".