Deqiang Qiu

Deqiang Qiu, PhD

                             and Biomedical Engineering

Education: Tsinghua Univ., Bsc. The University of Hong Kong, Phd (Advisors: Pek-Lan Khong, Edmund Lam, Dora Kwong, Ed Wu); Stanford University, Postdoc (Advisor: Michael Moseley)

Dr. Qiu is an imaging scientist with interest in the development and application of advanced imaging techniques and computational modelling to advance our understanding of human brain functioning as well as to improve human healthcare.


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Junjie Wu, PhD

Dr. Wu is currently a Postdoctoral Fellow in CN2L. He was trained in neuroimaging and computer science. His research interest include cerebrovascular reactivity, functional MRI, perfusion imaging and machine learning.


Qixiang Lin, PhD

Dr. Lin is Postdoctoral Fellow at the Department of Neurology, Emory University School of Medicine. He received his PhD in Cognitive Neuroscience in 2017. His current research primarily focus on the brain microstructure and function characterization in the healthy aging, preclinical Alzheimer’s Disease and stroke patient using quantitative multi-parametric MRI techniques including quantitative T1/T2* and Quantitative Susceptibility Mapping (QSM) etc.


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Shuai Huang, PhD

Dr. Shuai Huang is a postdoctoral researcher in Department of Radiology and Imaging Sciences at Emory University. He received his Ph.D. in Electrical Engineering from Johns Hopkins University in 2017, and B. Sc. degree from Harbin Institute of Technology in 2009. He was a postdoctoral researcher in Coordinate Science Laboratory at University of Illinois at Urbana-Champaign from 2017 to 2019. His research interests include noncovex optimization, statistical machine learning, and compressed sensing. His current research focuses on inverse problems arising from various computational imaging tasks such as magnetic resonance imaging (MRI), the nanostructure problem, cryo-electron microscopy, etc.


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Julieta Maria Mateos, PhD

Dr. Mateos is a data-focused postdoctoral researcher interested in medical imaging. She has been working for 4+ years to understand how to extract quantifiable information derived from MR images of the brain. She is particularly interested in developing new methods to measure brain morphological characteristics and the segmentation of brain structures.


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Muhammad Asif, PhD

Dr. Muhammad Asif is currently a Postdoctoral Fellow in CN2L and working on MRI image Enhancement, Segmentation, and Restoration. He received his Ph.D. from the School of Computer Science and Technology, Beijing Institute of Technology (BIT), China in 2021. He did his Master's (MS) from the National University of Science and Technology (NUST), Pakistan, in 2016.


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Matthew Nicholas Drexler, PhD

Matthew Drexler is a graduate of Georgia Tech with a PhD in Materials Science and Engineering and an interest in machine learning and image analysis.


Yuguang Meng, PhD

Dr. Meng earned double BS degrees in computer science and chemical engineering, and a Ph.D. in radiophysics, and completed three years of training at The University of Pittsburgh Medical Center (UPMC). He has created numerous technical developments in Siemens/Bruker/Varian MRI systems including MRI pulse sequence designs and reconstructions in diffusion tractography, cerebral blood flow/volume, magnetic susceptibility and relaxation, fMRI hemodynamics measurements, and high-speed high-fidelity MRI reconstruction. He is also interested in developing neuroimaging statistical methods for neurodegenerative diseases.


Chandrama Mukherjee, Bachelor of Technology

Chandrama is a second-year GA State Neuro-Physics PhD candidate who is also a part of the CN2L lab. Her interests lie in machine learning, age related functional degradation in brain and Alzheimer’s disease. Her advisor is Dr. Mukesh Dhamala, in the Department of Physics and Astronomy, Georgia State University and co-advisor is Dr. Deqiang Qiu in the Department of Radiology and Imaging Sciences, Emory University.


Jody Todd, B.S.

Jody Todd is a second year PhD student in the bioengineering program at Georgia Tech. She received her BS in biomedical engineering from the University of Mississippi. Her research interests include cerebral hemodynamic impairment of Alzheimer's patients, machine learning, and compressive sensing.


Jenna Jiwoo Kim, Bachelor's in Biology

Jenna is a 4th year undergraduate studying biology and psychology at Georgia Tech. She is planning on pursuing a master's degree in bioinformatics and medicine after. Her research interest is inspecting patterns of regional boundaries of white matter hyperintensities of Alzheimer's patients' brains.


Xi Nan

I am a 3rd year undergraduate studying Computer Science in Georgia Tech. My research interest are machine learning, image processing, and web/app development.


Administrative Assistant


Lab Alumni

Antoine Hone-Blanchet PhD, Postdoctoral Fellow(currently Postdoctoral Researcher at Harvard Medical School and Massachusetts General Hospital)

Jeremy L. Smith, PhD, Assistant Scientist (currently Academic Research Scientist at Emory University School of Medicine)

Christopher Leatherday, PhD, Postdoctoral Fellow (currently Medical Physicist at Royal Perth Bentley Group, Australia)

Ganesh Chand, PhD, Postdoctoral Fellow (currently Assistant Professor at Washington University St. Louis)

Salman Sahid, PhD, Postdoctoral Fellow (currently Assistant Professor at University of Indiana)

Shiyang Chen, PhD, Graduate Student (currently at Intuitive Surgical Inc.)

Ke Qi, Msc, Research Assistant (currently at Aibee)

Laura Mora, MSc Research Specialist, Former Graduate Research Assistant

Sudhanshu Manda, Graduate Student(2017-2019)

Lingyi Peng, Graduate Student(2018-2020)

Leo Chen, Undergraduate Student

Feifei Geng, Bsc, Graduate Research Assistant

Yijie Huang, Bsc, Graduate Research Assistant

Yuxi Liu, Bsc, Graduate Research Assistant

Anqi Dai, Bsc, Graduate Research Assistant

Join our team

If you are interested in joining the team, please email Dr. Qiu to inquire for positions available.