Prof. Han Huang, South China University of Technology
黄翰教授，华南理工大学
Dr. Huang is a professor and doctoral supervisor of the School of Software Engineering at South China University of Technology. He is currently serving as an associate editor ofIEEE Transactions on Evolutionary Computation (IF: 14.3),Complex & Intelligent Systems(IF: 5.8) andIEEE Transactions on Emerging Topics in Computational Intelligence (IF: 5.3), and Director of Teaching Steering Committee for Software Engineering of Undergraduate Colleges and Universities in Guangdong Province. Prof. Huang has made great contributions to the scholarship on the theories and application of intelligent optimization algorithms. For example, he has proposed a time complexity analysis method of real-world evolutionary algorithms, algorithms for efficient and accurate image matting, a method for automated test case generation based on path coverage, etc. Prof. Huang has hosted more than twenty national and provincial projects. He has published two books,Theory and Practice of Intelligent algorithm andTheory, Methods and Tools for Time Complexity Analysis of Evolutionary Algorithm. He has also published more than 80 papers inIEEE TCYB,IEEE TETC,IEEE TSE, IEEE TEVC,IEEE TIP,IEEE TFS, andScience China,including ESI highly cited papers. As the first inventor, Prof. Huang has 45 invention patents granted in China and seven invention patents granted in the United States. He won China Patent Excellence Award and developed an association standard entitled “Standard for glass-box testing without source code” as the first completer. Additionally, Prof. Huang pays attention to social services. Over the past five years, he has given more than 50public lectures on science and technology for government offices, primary and secondary schools, CCF, YOCSEF, media, etc. He has been in charge of the development and release of six public software systems such as Unit Test Algorithm Platform www.unittestpc.com.cn, Automatic Structural Equation Modeling System www.autosem.net, Evolutionary Algorithm Time Complexity Analysis System www.eatimecomplexity.net, and Energy Storage Optimization System http://energystorage.autosem.net, which have provided free technical service and support for lots of researchers and engineers.
黄翰，男，博士，华南理工大学软件学院教授、博士生导师，国家级青年人才项目入选者，兼任国际学术期刊IEEE Transactions on Evolutionary Computation（IF: 14.3）、Complex & Intelligent Systems（IF: 5.8）以及IEEE Transactions on Emerging Topics in Computational Intelligence（IF: 5.3）副编、大数据与智能机器人教育部重点实验室副主任、中国仿真学会智能仿真优化与调度专委会副主任、广东省本科高校软件工程专业指导委员会主任委员，CCF杰出会员和IEEE高级会员；获得国家示范性软件学院成立20周年全国优秀教师表彰称号；主持科技部重点研发项目、国家自然科学基金面上项目与广东省杰出青年基金等国家级和省部级项目等近20项；出版著作2部《智能算法理论与实践》和《进化算法时间复杂度分析的理论、方法与工具》；以第一作者或通讯作者身份在IEEE TCYB、IEEE TETC、IEEE TSE、IEEE TEVC、IEEE TIP、IEEE TFS和《中国科学》等专业学术期刊发表论文80多篇，代表作入选ESI；以第一发明人授权国家发明专利45项以及美国发明专利7项；以第一完成人获中国专利优秀奖；以第一完成人制定了《无源码的白盒化测试标准》全国团体标准；以主要完成人获广东省科技进步一等奖、广东省自然科学二等奖、中国仿真学会优秀论文奖和中国图形图像学会科技进步二等奖等；长期致力于智能算法理论、应用与产业生态的研究，发布了单元测试算法平台www.unittestpc.com.cn、进化算法时间复杂度分析系统www.eatimecomplexity.net、结构方程自动建模系统www.autosem.net与储能优化系统https://energystorage.autosem.net/ 等6项公开使用的软件系统，完成算法落地应用案例70多项。