赵光哲 职位：
职称：副教授
邮箱：zhaoguangzhe@bucea.edu.cn


个人简介 (Biography)


教育背景 (Education Backgroud)
名古屋大学计算机科学与技术专业博士，中国科学院大学博士后，现任北京建筑大学电气与信息工程学院副教授，硕士导师。


工作经历 (Work Expericence)


研究方向 (Research Area)
1. 汽车辅助驾驶安全系统 Advanced Driver Assistance Systems 2.图像处理 Image Processing 3. 计算机视觉 Computer Vision 4. 模式识别 Pattern Recognition 5.人工智能 Artificial Intelligence


社会兼职 (Academic Employment)

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发文时间：2020-05-11 撰稿人：

“基于深度视觉学习的汽车辅助驾驶安全关键方法研究”，国家自然科学基金（**），2019.01-2022.12，64万，主持
“基于深度学习的汽车辅助驾驶安全系统主持项目”，教育部”天诚汇智”创新促教基金（2018A03027），2019.04-2020.03，30万，主持
“一种新型的基于行人检测和行走方向识别的辅助驾驶安全系统的设计与开发”，国家自然科学基金（**），2015.01-2018.12，45万，主持
“基于行人检测与行人行走方向分析的辅助驾驶安全系统”，教育部归国博士科研启动基金，2015.01-2016.12，4万，主持
“用户体验保障的移动视频业务分发理论与关键技术”，国家自然科学基金重点项目（**）， 2016.01-2020.12，290万，参与

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发文时间：2020-05-11 撰稿人：

Guangzhe Zhao; Nanying Li; Bing Tu*，Guoyun Zhang; Wei He，Density Peak Covariance Matrix for Feature Extraction of Hyperspectral Image，IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2020, 17(3): 534-538. (SCI, IF=3.484)
Guangzhe Zhao, Hanting Yang, Min Yu*, Expression Recognition Method Based on a Lightweight Convolutional Neural Network, IEEE ACCESS, 2020, 8(2020): 38528-38537. (SCI, IF=4.54)
Guangzhe Zhao, Hanting Yang, Yong Tao*，Lightweight CNN-based Expression Recognition on Humanoid Robot，Ksii Transactions on Internet and Information Systems, 2020,14(3):1188-1203. (SCI, IF=0.711)
Leyuan Fang, Guangzhe Zhao*, Iterative Fusion Convolutional Neural Networks for Classification of Optical Coherence Tomography Images, Journal of Visual Communication and Image Representation, 2019,59(2019), 327-333. (SCI, IF=2.51)
Guangzhe Zhao, Leyuan Fang*, Multiple convolutional layers fusion framework for hyperspectral image classication, Neurocomputing, 2019, 339(2019): 149-160. (SCI, IF=3.824)
Tu bing, Guangzhe Zhao*, Dual stage construction of Probability for Hyperspectral image classification, IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, accepted 6th, January, 2019
Tu bing, Guangzhe Zhao*, Hyperspectral image classification by combining local binary pattern and joint sparse representation, International Journal of Remote Sensing, 40(2019): 9484-9500. (SCI, IF=2.456)
Guangzhe Zhao, Aiguo chen*, A Data Fusion Algorithm Based on Fuzzy Sets and D-S Theory of Evidence, Tsinghua Science and Technology, 2020,25(1):12-19.（SCI，IF=1.696）
Guangzhe Zhao, Yong Tao*, A robot demonstration method based on LWR and Q-learning algorithm, Journal of Intelligent & Fuzzy Systems, 2018, 35(2018): 35-46. (SCI, IF=1.637)
Guangzhe Zhao, Tu bing*, Spatial-spectral Classification of Hyperspectral Image via Group Tensor Decomposition, Neurocomputing, 2018, 316(17): 68-77. (SCI, IF=3.824)
Tu bing, Guangzhe Zhao*, Hyperspectral Image Classification Via Superpixel Spectral Metrics Representation, IEEE Signal Processing Letters, 2018, 25(10): 1520-1524. (SCI, IF=3.268)
Zhi Liu, Guangzhe Zhao*, Automatic Tongue Verification Based on Appearance Manifold Learning in Image Sequences for the Internet of Medical Things Platform, IEEE Access, 2018, 6(1): 43885-43891. (SCI, IF=4.54)
Yang xin,Yankun Cao,Zhi Liu, Guangzhe Zhao*, A Benchmark Database and Baseline Evaluation for Fall Detection Based on Wearable Sensors for the Internet of Medical Things Platform, IEEE Access, 2018, 6(1): 1-11. (SCI, IF=4.54)

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发文时间：2020-05-11 撰稿人：

1. 汽车辅助驾驶安全系统 Advanced Driver Assistance Systems 2.图像处理 Image Processing 3. 计算机视觉 Computer Vision 4. 模式识别 Pattern Recognition 5.人工智能 Artificial Intelligence

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