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Dr. Dan Yang

Northeastern University Box 135, China

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Dan Yang received B.S. and M.S. degrees in Biomedical Engineering and a Ph.D. degree in Detection and Automatic Control Engineering from Northeastern University (NEU), Shenyang, China, in 2002, 2005, and 2009, respectively. From 2009 to 2012, she was a Postdoctoral Researcher of Computer and Science Engineering with NEU. From 2013 to 2014, she was a Visiting Scholar with the School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA, sponsored by the China Scholarship Council. She is currently an Associate Professor with the School of Information Science and Engineering, NEU. She is involved in research projects with the Fundamental Research Funds for the Central Universities of China, and the National Natural Science Foundation of China. Her current research interests include intelligent computing, physiological signal detection, and biological electromagnetic systems.

Research Keywords & Expertise

Biomedical Devices
Image Segmentation
Biomedical Circuits an...
deep learning for imag...
magnetic induction tom...

Fingerprints

10%
magnetic induction tomography
7%
deep learning for image processing
5%
Image Segmentation

Short Biography

Dan Yang received B.S. and M.S. degrees in Biomedical Engineering and a Ph.D. degree in Detection and Automatic Control Engineering from Northeastern University (NEU), Shenyang, China, in 2002, 2005, and 2009, respectively. From 2009 to 2012, she was a Postdoctoral Researcher of Computer and Science Engineering with NEU. From 2013 to 2014, she was a Visiting Scholar with the School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA, sponsored by the China Scholarship Council. She is currently an Associate Professor with the School of Information Science and Engineering, NEU. She is involved in research projects with the Fundamental Research Funds for the Central Universities of China, and the National Natural Science Foundation of China. Her current research interests include intelligent computing, physiological signal detection, and biological electromagnetic systems.