（学科：计算机软件与理论）

  

一、个人概况

康钦马，副教授，工学博士，硕士生导师。研究方向为区块链、复杂网络、大数据分析、机器学习。主持或参与省部级以上多项科研项目，在国内外学术期刊与国际会议上发表SCI/EI收录的研究论文20余篇。山东省政府采购评审专家，全国高校采购评审专家。

二、主要研究与合作领域

1、 区块链技术及应用

2、 机器学习、数据挖掘与分析

三、课题情况（近五年）

（一）纵向课题

分布计算环境下“膝”区原初宇宙线成分分辨算法研究，2015年度山东省自然科学基金（课题号ZR2015AM015），主持人

（二）横向课题

基于区块链和大数据技术的农产品质量安全追溯系统，山东科润信息技术有限公司（2018.3-2020.2），主持人

四、代表性论文、专著

1、Hanzhang Kong,Qinma Kang(通信作者),Chao Liu,Wenquan Li,Hong He andYunfan Kang. 2018, An improved label propagation algorithm based on node intimacy for community detection in networks，International Journal of Modern Physics B, SCI, 32(25): 1850279.

2、Kang Qinma, He Hong, Wei Jun. 2013, An effective iterated greedy algorithm for reliability-oriented task allocation in distributed computing systems, Journal of Parallel and Distributed Computing (Elsevier), SCI, 73(8): 1106–1115.

3、Kang Qinma, He Hong. 2013, Task assignment for minimizing application completion time using honeybee mating optimization, Frontiers of Computer Science, SCI, 7(3): 404-415.

4、Kang Qinma, He Hong. 2013, Honeybee mating optimization algorithm for task assignment in heterogeneous computing systems, Intelligent Automation and Soft computing, SCI, 19 (1): 69-84.

5、Kang Qinma, He Hong, Deng Rong. 2012, Bi-objective task assignment in heterogeneous distributed systems using honeybee mating optimization, Applied Mathematics and Computation (Elsevier), SCI, 219(5): 2589-2600.

6、Kang Qinma, He Hong, Song Huimin. 2011, Task assignment in heterogeneous computing systems using an effective iterated greedy algorithm, Journal of Systems and Software (Elsevier), SCI, 84 (6): 985-992.

7、Kang Qinma, He Hong. 2011, A Novel Discrete Particle Swarm Optimization Algorithm for Meta-task Assignment in Heterogeneous Computing Systems, Microprocessors and Microsystems (Elsevier), SCI, 35(1): 10-17.

8、Kang Qinma, He Hong, Song Huimin, Deng Rong. 2010, Task Allocation for Maximizing Reliability of Distributed Computing Systems Using Honeybee Mating Optimization, Journal of Systems and Software (Elsevier), SCI, 83(11): 2165-2174.

五、联系方式

邮箱：qmkang@sdu.edu.cn