哈明虎，男，回族，1963年11月生，河北肃宁人，哈尔滨工业大学数学系基础数学专业毕业，研究生学历，博士学位，哈尔滨建筑大学一般力学博士后，哈尔滨工业大学管理科学与工程博士后，中共党员，教授，博士生导师，“新世纪百千****才工程”国家级人选，省管优秀专家，享受国务院政府特殊津贴。现任河北工程大学党委书记，河北省第十三届人民代表大会常务委员会委员、民族侨务外事委员会副主任委员，兼任中国工业与应用数学学会常务理事、中国系统工程学会模糊数学与模糊系统委员会副理事长、中国运筹学会不确定系统分会副理事长、河北省工业与应用数学学会理事长、国际学术期刊《Journal of Uncertainty Analysis and Applications》创刊主编、《模糊系统与数学》编委。目前主要研究领域为：统计学习理论与支持向量机、算子理论、不确定信息处理与决策、水资源优化与管理等。
一、主要招生领域
1. 管理科学与工程 2. 应用统计（专业学位）
二、科研成果（2011年以来）
(一) 科研项目
1.河北省自然科学基金, 基于三类不确定样本的支持向量机及其应用(F),5万元, 201201-201412,主持.
2.河北省社会科学基金, 基于统计学习理论的安全第一投资组合选择(HB15GL119),1万元, 201507-201706,主持.
3.河北省应用基础研究计划重点基础研究项目, 河北工程大学博士学位点建设项目, 100万元,201601-201612, 主持.
(二)获奖情况
1.哈明虎, 王超, 张植明, 田大增, 杨兰珍. 不确定统计学习理论及其数学基础—理论研究与教学实践. 河北省教学成果奖一等奖. 2013.
2.哈明虎, 王超, 张植明, 陈继强. 不确定统计学习理论及其在管理预测与决策中的应用. 第十三届河北省社会科学优秀成果奖(2010-2011)二等奖. 2012.
3.哈明虎, 杨杨, 王超. 基于统计学习理论的安全第一投资组合选择. 第十六届河北省社科优秀成果奖二等奖. 2018.
(三)论著
1.邢红杰, 哈明虎. 前馈神经网络及其应用, 北京: 科学出版社, 2013.
2.哈明虎, 杨扬. 基于统计学习理论的安全第一投资组合选择. 北京: 科学出版社, 2016.
3.田景峰, 哈明虎著. H?lder不等式及其应用. 北京: 清华大学出版社, 2017年.
4.高红云，王超，哈明虎. 直觉模糊层次分析法. 河北工程大学学报(自然科学版),2011，28(4):101-105.
5.Ha Minghu, ChenJiqiang, Pedrycz Witold, Sun Lu. Bounds on the rate of convergence of learningprocesses based on random sets and set-valued probability. Kybernetes,2011, 40(9/10): 1459-1485. (SCI)
6.Zhang Hong, Ha Minghu, Xing Hongjie.Chance-constrained programming on sugeno measure space. Expert Systems withApplications, 2011, 38(9):11527-11533. (SCI)
7.Ha Minghu, HuangJiaying, Yang Yang, Wang Chao. Support vector machine based on type-2 fuzzytraining samples. Industrial Engineering & Management Systems, 2012,11(1): 26-29. (国际刊物)
8.Ha Minghu, WangChao, Pedrycz Witold. The theoretical foundations of statistical learningtheory based on fuzzy random samples in Sugeno measure space. Transactionsof the Institute of Measurement and Control, 2012, 34(5): 520-526.(SCI)
9.Ha Minghu, WangChao, Chen Jiqiang. The support vector machine based on intuitionistic fuzzynumber and kernel function. Soft Computing, 2013, 17(4): 635-641.(SCI)
10.Ha Minghu, YangYang, Wang Chao. A new support vector machine based on type-2 fuzzy samples. SoftComputing, 2013, 17(11): 2065-2074.(SCI)
11.Wang Chao, Ha Minghu(通讯作者), Chen Jiqiang, Xing Hongjie. Support vector machine based on randomset samples. International Journal of Uncertainty, Fuzziness andKnowledge-Based Systems, 2013, 21: 101-112.(SCI)
12.Wang Xiaosheng, Ha Minghu. Quadraticentropy of uncertain sets. Fuzzy Optimization and Decision Making,2013, 12(1): 99-109.(SCI)
13.Chen Jiqiang, Xue Xiaoping, Ha Minghu, YuDaren, Ma Litao. Support vector regression method for wind speed predictionincorporating probability prior knowledge.Mathematical Problems in Engineering, 2014, 1-10.(SCI)
14.Chen Jiqiang, Ma Litao, Wang Chao, Zhang Hong, Minghu Ha(通讯作者). Comprehensive evaluation model forcoal mine safety based on uncertain random variables. Safety Science, 2014, 68: 146-152. (SCI)
15.杨扬, 哈明虎. 基于小样本的安全第一投资组合优化模型. 河北大学学报(哲学社会科学版), 2015, 40(1): 116-119. (中文核心)
16.Wang Chao, Ha Minghu, Liu Xiaowei, A mathematicalmodel of ternary fuzzy set for voting. Journal of Intelligent & FuzzySystems, 2015, 29: 2381-2386. (SCI)
17.Chen Jiqiang, Pedrycz Witold, Minghu Ha(通讯作者), Litao Ma. Set-valued samples based support vector regression andits applications. Expert Systems with Applications,2015, 42(5): 2502-2509. (SCI)
18.Tian Jingfeng, MinghuHa(通讯作者). Some new properties of generalized H?lder'sinequalities. Journal of Nonlinear Sciences and Applications, 2016, 9(6): 3638-3646. (SCI)
19.Ha Minghu, GaoZhichao, Wang Xiaosheng. Managing water supply risk through an option contractin uncertain environment. Journal of Uncertain Systems, 2016, 10(2):114-123. (国际期刊)
20.Gao Zhichao, Wang Xiaosheng, Ha Minghu,Multi-asset option pricing in an uncertain financial market with jump risk. Journalof Uncertainty Analysis and Applications, 2016, 4: 1-11. (国际期刊)
21.Ha Minghu,Gao Zhichao. Optimization of water allocation decisions under uncertainty: thecase of option contracts. Journal of Ambient Intelligence & HumanizedComputing, 2017, 8(5): 809–818.(SCI)
22.Chen Jiqiang, Hu Qinghua, Xue Xiaoping, HaMinghu, Ma Litao. Support function machine for set-based classificationwith application to water quality evaluation. Information Sciences,2017, 388: 48-61. (SCI)
23.Tian Jingfeng, MinghuHa(通讯作者). Properties of generalized sharp H?lder’s inequalities. Journal ofMathematical Inequalities, 2017, 11(2): 511-525. (SCI 高被引论文)
24.Tian Jingfeng, MinghuHa(通讯作者). Extensions of H?lder-typeinequalities on time scales and their applications. Journal of NonlinearSciences and Applications, 2017, 11 (3): 937-953. (SCI)
25.张鸿, 马丽涛, 哈明虎(通讯作者). 基于gλ变量的冗余优化模型. 模糊系统与数学, 2017(1):128-135. (中文核心)
26.Zhang Hong, Minghu Ha(通讯作者), Zhao Honghu, et al. Inexact multistage stochastic chance constrainedprogramming model for water resources management under uncertainties. ScientificProgramming, 2017, 1-14. (SCI)
27.Tian Jingfeng, MinghuHa(通讯作者). Extensions of Holder's inequality viapseudo-integral. Mathematical Problems in Engineering, 2018, 1-5 (SCI)
28.Tian Jingfeng, MinghuHa(通讯作者), Chao Wang. Improvements ofgeneralized H?lder's inequalities and their applications. Journal ofMathematical Inequalities, 2018, 12(2): 459--471. (SCI)
29.Tian Jingfeng, MinghuHa(通讯作者). Properties and refinements ofAczel-type inequalities.Journalof Mathematical Inequalities, 2018, 12(1): 175-189.(SCI, 高被引)
30.Gao Zhichao, Zhang Hong, Ha Minghu (通讯作者). Optimization of water resource management using chooser option contractsunder uncertainty. American Journal of Industrial and Business Management,2018, 8: 1308-1326. (国际期刊)
31.Wang Chao, Liu Xiaowei, Ha Minghu(通讯作者), Ting Zhao. Credibility support vector machines based on fuzzyoutputs. Soft Computing, 2018, 22(6): 5429–5437. (SCI)
32.Chen Jiqiang, Xue Xiaoping, Ha Minghu, MaLitao. Separability of set-valued data sets and existence of supporthyperplanes in the support function machine. Information Sciences, 2018，430/431: 432-443. (SCI)
33.Tian Jingfeng, Minghu Ha(通讯作者). An additive consistency and consensus-based approach for uncertaingroup decision-making with linguistic preference relations. IEEETransactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2018.** (SCI一区，TOP期刊)