陈皓，男，1978年5月出生，博士，教授，计算机科学与技术专业硕士生导师，计算机学院基础教学部主任。2009年12月入职西安邮电大学，2017.6-2018.6美国新泽西理工学院（NJIT）国家留学基金委公派访问学者。主要从事智能计算、计算机视觉、医疗大数据等方面的研究工作，主持完成国家自然科学基金、陕西省自然科学基金等各类项目十余项，参与国家科技部重点研发计划“数字诊疗装备研发”专项项目等各类重大项目多项。近年来在《Medical Physics》、《自动化学报》等国内外高影响力期刊以及IJCAI、AAPM等顶级国际会议发表研究论文四十余篇，其中SCI/EI检索三十余篇，申请相关国家发明专利多项。担任国家自然科学基金通讯评审人，多个外省科技厅项目评审人以及《IEEE Transactions on Cybernetics》、《Medical Physics》、《计算机学报》等多个国内外高影响力期刊的审稿人。
以下为近3年内以第一作者发表的部分论文：
[1]Hao Chen,Qinyuan Yan,et al.Deep Feature Enhancement and Xgboost Network for Multi-Organ Classification[J]，International Journal of Imaging Systems and Technology，Accepted，SCIESI刊源.
[2]陈皓，潘跃凯.针对行为识别的人体骨架关键帧序列选择优化方法,计算机辅助设计与图形学学报,2021,已录用.EI刊源, CCF A类
[3]HaoCHEN, Guoxin ZHANG, et al. Dual Evolutionary Ensemble Learning: An Automatic Ensemble Classifier Construction Method [C], the 30th International Joint Conference on Artificial Intelligence (IJCAI2021): the workshop onData Science Meets Optimization,19th -26th August, 2021.
[4]HaoCHEN, Duo BAN, X.Sharon Qi, et al. An Evolutionary Feature Selection-Based Brain Glioma Detection and Segmentation Approach in Magnetic Resonance Imaging [J].Medical PhysicsDOI:10.1002/mp.15026.SCI二区TOPESI刊源.
[5]Hao Chen, Yu Xia, et al. A CT Signs Quantization Analysis Method for Pulmonary Nodules Malignancy Grading [J]，International Journal of Imaging Systems and Technology，2021, 1–12. DOI: https://doi.org/10.1002/ima. 22605，SCIESI刊源.
[6]Hao Chen, Yu Xia, Qing Yang, et al. Time-Series Data Dynamic Density Clustering，Intelligent Data Analysis，Accepted，SCIESI刊源.
[7]Hao CHEN, Yang LIU, et al. Predicting Overall Survival of Patients with Glioma Via A Novel Framework Consisting of Two-Phase Feature Selection and Fused Regression Forest [C], American Association of Physicists Medicine (AAPM) COMP Meeting, 25th -29thJuly, 2021.
[8]Hao CHEN, Duo BAN, et al. What's Behind Auto-Segmentation Models: An Interpretability Analysis of Calculation Logic of Segmentation Model for Brain Tumor [C], American Association of Physicist