工学博士，讲师，2016年博士毕业于华中科技大学计算机科学与技术学院。
作为主要研究人员参与过多项国家自然科学基金，湖北省基金，教育部博士点基金和军口项目。现主持国家自然科学基金项目一项，山东省自然科学基金项目一项。发表学术论文10余篇，均被SCI、EI收录。
主要论文：
Liang, Hu, Zhao, Shengrong*; Chen, Chuanbo; Sarem, Mudar. The NAMlet transform: A novel image sparse representation method based on non-symmetry and anti-packing model. Signal Processing, v 137, p 251-263, 2017
Hu Liang, Shengrong Zhao*. Removal of Salt-and-Pepper Noise from Bimodal Images Using a Non-Symmetry and Anti-Packing Model. Journal of Medical Imaging and Health Informatics, 2019
Hu Liang, Shengrong Zhao. The MRI image sparse representation based on asymmetric segmentation and Haar wavelet. Basic & Clinical Pharmacology & Toxicology, Accepted, 2019
Hu Liang, Shengrong Zhao*, Xiangjun Dong.The brain MRI image sparse representation based on the gradient information and the non-symmetry and anti-packing model. COMPUTER ASSISTED SURGERY, 2017
Shengrong Zhao, Hu Liang*, Mudar Sarem. A General Detail Preserving Super Resolution Model, Signal Processing, 120(2016), pp. 156-173, 2016.
Shengrong Zhao, Renchao Jin*, Xiangyang Xu, Enmin Song, Chih-Cheng Hung, A Variational Bayesian Super-Resolution Approach Using Adaptive Image Prior Model, Mathematical Problems in Engineering, 469859, 2015
Chuanbo Chen, Hu Liang, Shengrong Zhao*, Zehua Lyu and Mudar Sarem, A Novel Multi-Image Super-Resolution Reconstruction Method Using Anisotropic Fractional Order Adaptive Norm, The Visual Computer, 31(9), pp 1217-1231, 2015
Renchao Jin, Shengrong Zhao, Xiangyang Xu, Enmin Song. Multiframe Super-resolution Based on Half-quadratic Prior with Artifacts Suppress, Journal of Visual Communication and Image Representation. 40, 656-670, 2016
Chuanbo Chen, Hu Liang, Shengrong Zhao*, Zehua Lyu, Shaohong Fang, Xiaobing Pei. Integrating the Missing Information Estimation into the Multi-frame Super Resolution, Circuits, System, and Signal Processing. 35(4), pp.1213-1238, 2016
Chuanbo Chen, Hu Liang, Shengrong Zhao*，Zehua Lyu and Mudar Sarem A novel reconstruction model for multi-frame super-resolution image based on lmix prior, Computer & Electronic Engineering 40 (8), pp. 142-153，2014
Renchao Jin, Shengrong Zhao, Xiangyang Xu, Enmin Song, Chi-Cheng Hung. Super-Resolving Barcode Images with an Edge-Preserving Variational Bayesian Framework, Journal of Electronic Imaging, 25(3), 2016
Shengrong Zhao, Zehua Lyu*, Hu Liang, Super Resolution via Non-local Mixed Prior Model, Chinese Journal of Electronics, DOI:10.1049/cje.2016.06.024.
Renchao Jin, Shengrong Zhao, Xiangyang Xu, Enmin Song. Multi-frame Super-resolution of Vehicle License Plates Based on Distribution Estimation Approach, Journal of Control Science and Engineering, v4194309.
吕泽华，赵盛荣*，梁虎，唐赫，《基于Gmac模型的乳腺肿块分割算法》，电子学报，42（2），398-404，2014
Zehua Lyu, Shengrong Zhao*, Chenxi Yue, Xiaobing Pei, Hu Liang. Self Adaptive Skipping Levels Based On The l1-Tracker, ICSP2014, 1139-1144.
Zehua Lyu, Shengrong Zhao*, Shaohong Fang, Hu Liang, Multi Image Super Resolution Reconstruction Using A Novel Degradation Model, ICALIP, 287-291, 2014
Lan, Yihua; Xu, Xiangyang; Jin, Renchao; Zhao, Shengrong; Zhu, Jingsheng，Region and Edge Integration based Active Contour Model for Mammographic Mass Segmentation, Information，15(9): 3673-3680, 2012
主持和参与项目：
1.国家自然科学基金青年项目，61802213，基于误差分析的多帧彩色图像超分辨率重建算法研究，主持
2. 山东省自然科学基金，ZR2018LF004, 基于误差拟合的多帧彩色图像超分辨率重建算法研究,主持
3. 国家自然科学基金面上项目，60370179，基于相似图谱的脑MR图像海马体自动分割方法研究，参与
4.国家自然科学基金青年项目，61702292，基于模糊本体和情境感知技术的用户行为偏好分析及个性化推荐研究，参加
5.山东省自然科学基金，ZR2017LF016，基于非对称逆布局的中层显著性特征提取算法研究，参加
6. 军口项目，基于军事图片的高清重建算法研究，参与
7. 华中科技大学创新研究院技术创新基金资助项目, No.CXT13Q020, 基于NAM的中层显著性特征提取算法研究, 参与
8. 华中科技大学博士学位论文创新基金, 基于丢失信息估计模型的高清重建算法研究, 参与
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