Qianqian Fang
Associate Professor and Associate Chair for Research and Graduate Affairs, 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
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
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 […]
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 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 […]
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".
Sep 04, 2015
New Faculty Spotlight: Qianqian Fang
Qianqian Fang joins the Bioengineering department in Fall 2015 as an Assistant Professor.