日本語
The University of Electro-Communications 
Graduate School of Informatics and Engineering, School of Informatics and Engineering 
Department of Computer and Network Engineering, Cluster II (Emerging Multi-interdisciplinary Engineering) 

顔写真 Assistant Professor 
Fang SHANG 

Year of birth:1986  

Academic background
ハルビン第三中学校  2005/08/31  Graduated 
HARBIN INSTITUTE OF TECHNOLOGY  ELECTRICAL ENGINEERING AND AUTOMATICS  2009/08/31  Graduated 
HARBIN INSTITUTE OF TECHNOLOGY  ELECTRICAL ENGINEERING AND AUTOMATICS  2011/08/31  Completed 
THE UNIVERSITY OF TOKYO  Department of Electrical Engineering and Information Systems  2014/09/30  Completed 

Academic degrees
工学博士  The University of Tokyo  2014/09/26 

Classes responsible within the university
2017  K課程専門基礎実験A・B「アナログ回路実験」  Spring semester  Undergraduate, mainly nighttime 
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Current research areas
Communication/ Network engineering 

Current research subjects
Imaging processing for ultrawideband radar and polarimetric synthetic aperture radar.  2015/01/01-2017/03/31 

Published papers
Paper  Yes  Adaptive Land Classification and New Class Generation by Unsupervised Double-Stage Learning in Poincare Sphere Space for Polarimetric Synthetic Aperture Radars  Joint  Y. Takizawa, F. Shang, and A. Hirose  Neurocomputing  in press  2017 
Paper  Yes  Three-dimensional Imaging Method Incorporating Range Points Migration and Doppler Velocity Estimation for UWB Millimeter-wave Radar  Joint  Yuta Sasaki, Fang Shang, Shouhei Kidera, Tetsuo Kirimoto, Kenshi Saho and Toru Sato  IEEE Geoscience and Remote Sensing Letters  14/ 1, 122-126  2017 
Paper  Yes  Three-dimensional Imaging Method Incorporating Range Points Parametric Wind Velocity Vector Estimation Method for Single Doppler LIDAR Model  Joint  Takayuki Masuo, Fang Shang, Shouhei Kidera, Tetsuo Kirimoto Hiroshi SAKAMAKI and Nobuhiro SUZUKI  IEICE Trans. Commun.  E100-B/ 3, 465-472  2016 
Paper  Yes  Averaged Stokes Vector Based Polarimetric SAR data Interpretation  Joint  F. Shang, A. Hirose  IEEE Transactions on Geoscience and Remote Sensing  53/ 8, 4536-4547  2015 
Paper  Yes  Quaternion Neural-Network-Based PolSAR Land Classification in Poincare-Sphere-Parameter Space  Joint  F. Shang, A. Hirose  IEEE Transactions on Geoscience and Remote Sensing  52/ 9, 5693-5703  2014 
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Awards
最優秀学生論文賞(国際会議), the Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) 2013  2013/09/27 
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