屈愛平，博士，副教授，碩士研究生導師，湖南省青年骨幹教師。主要研究方向為模式識别與人工智能、圖像處理和最優化算法。主持國家自然科學基金，湖南省自然科學基金，湖南省優秀青年項目等多項課題，在國内外期刊及會議上發表學術論文10餘篇。
主要科研論文：
1 A Novel Sparse Penalty For Singular Value Decomposition, Chinese Journal of Electronics. 2017 (SCI)
2. Quantum dots-based double imaging combined with organic dye imaging to establish an automatic computerized method for cancer Ki67 measurement, Scientic Reports, 2016 (SCI)
3. Novel Breast Cancer Prognostic Factors Identied by Computer-aided Quantitative Analysis of HE Stained Histopathological Images. Scientic Reports,2015(SCI)
4. Segmentation of Hematoxylin-Eosin stained breast cancer histopatholical images based on pixel-wise SVM classifier. SCIENCE CHINA Information Sciences. 2015 (CCF B, SCI, EI)
5. A suffient descent Liu–Storey conjugate gradient method and its global convergence, Optimization. 2015(SCI)
6. Two-step segmentation of Hematoxylin-Eosin stained histopathological images for prognosis of breast cancer. IEEE BIBM 2014. Regular Paper.(CCF B)
7. The convergence rate of a three-term HS method with restart strategy for unconstrained optimization problems. Optimization. 2014 (SCI)
8. A modified Polak-Ribiere-Polyak descent method for unconstrained optimization, Optimization Methods and Software, 2014 (SCI,EI)
9. Some sufficient descent conjugate gradient methods and their global convergence, Computational and Applied Mathematics,2014 (SCI)
9 A modified DPR and CG-DESCENT method for unconstrained optimization, Pacific Journal of Optimization, 2013 (SCI)
10. Rate of Convergence of a Restarted CG-DESCENT Method, Numerical Functional Analysis and Optimization, 2013 (SCI,EI)
11. n-Step quadratic convergence of a restart Liu-Storey type method,Computational and Applied Mathematics,2013(SCI)
12. Computer-Based Image Studies onTumor Nests Mathematical Features of Breast Cancer and Their Clinical Prognostic Value, Plos One,2013 (SCI)
13. The convergence rate of a restart MFRconjugate gradient method with inexact line search. Applied Mathematic andComputation, 2012 (SCI,EI)
主持或參與的科研項目（課題）：
1. 融合深度全卷積網絡和稀疏字典的病理細胞核分割研究（國家自然科學基金，61701218）
2. 基于學習的病理細胞核檢測和分割（湖南省自然科學基金，2018JJ3449）
3. 基于病理圖像分析的乳腺癌預後預測研究（湖南省教育廳青年項目,17B229）
4. 基于深度卷積神經網絡的火焰檢測方法研究（湖南省教育廳重點項目，16A182）
5. 計算機輔助病理診斷研究（衡陽市科技計劃項目，2016KG90）
6. 基于病理圖像的計算機輔助乳腺癌預後預測研究（2003网站太阳集团博士啟動基金）
