朱达欣

创建者:王燕顺时间:2022-10-10浏览次数:19


 姓名:朱达欣

 性别:男

 出生年月:19764

 职称:教授

 研究方向:数字媒体应用技术;大数据应用技术;数字安全技术

 E–MAIL1795817@qq.com

 通信地址:福建省泉州市丰泽区东海大街398号威尼斯人81818官方网站

 邮编:362000

 个人简介:中国计算机学会高级会员,ACM会员,福建省高层次人才,泉州市高层次人才,泉州市高校中青年学科带头人;福建省大数据管理新技术与知识工程重点实验室主任,福建省教学团队负责人,福建省新工科改革项目负责人;福建省计算机学会秘书长、福建省人工智能学会常务理事;美国马里兰大学访问学者,英国亚伯大学访问学者。主要从事大数据技术应用研究、文化计算领域研究。在IEEE TRANSACTIONS ON IMAGE PROCESSINGTHEORETICAL COMPUTER SCIENCE等期刊上发表学术论文六十余篇,二十余篇被SCIEI收录;主持、参与福建省自然基金项目、福建省教育厅产学研重点项目、泉州市高层次人才项目等二十余项科技项目。获福建省高等教育教学成果一等奖。

 教育经历:

2019.03-2020.02  英国亚伯大学访问学者

2015.10-2016.04美国马里兰大学访问学者

2001.09-2004.06,华侨大学计算机应用技术专业获工学硕士学位

1994.08-1998.8,华侨大学计算机及应用专业获工学学士学位

 学术兼职:

福建省大数据管理新技术与知识工程重点实验室主任

数字福建智能制造大数据研究所负责人

福建省计算机学会秘书长

福建省人工智能学会常务理事

 成果奖励:

福建省高等教育教学成果一等奖

威尼斯人81818官方网站学院本科教学优秀奖一等奖

威尼斯人81818官方网站学院教学成果奖一等奖

威尼斯人81818官方网站陈笃彬奖

 科研项目:近五年

序号

起止时间

项目来源

项目名称

总经费

(万元)

承担单位

本人排名

1

2018-2021

福建省自然科学基金面上项目

高维海量数据相似性连接的内存计算技术研究

7

威尼斯人81818官方网站

1

2

2015-2018

福建省教育厅(产学研重点项目)

闽南产业集群商业情报大数据平台研究与建设

5

威尼斯人81818官方网站

1

3

2016-2018

福建省社科研究基地重大项目

传统南音数字信息建设与应用研究

5

威尼斯人81818官方网站

1

4

2018-2019

泉州市职业教育改革发展专项

重点实验室建设项目

247

威尼斯人81818官方网站

1

7

2018-2021

福建省发改委

数字福建智能制造大数据研究项目

100

威尼斯人81818官方网站

2

8

2021-2024

福建省自然科学基金产学合作项目

面向纺织服装行业的产业大数据平台
关键技术研究与应用

50

威尼斯人81818官方网站

2

9

2017-2020

福建省自然科学基金面上项目

协同过滤推荐系统中的可信推荐机制研究

9

威尼斯人81818官方网站

2

10

2021-2024

泉州市引进高层次人才团队项目

基于4D flow MRI成像的心房颤动研究以及心血管医疗诊断关键技术研究及应用示范

100

威尼斯人81818官方网站

2

11

2020

横向

北斗计量系统

6

威尼斯人81818官方网站

1

12

2021

泉州市揭榜挂帅项目

高端空压机数字式设计机器人研究开

200

华侨大学、力达机电、威尼斯人81818官方网站

6

 论文:

  1. Siyu Huang, Xueyan Huang, Taisheng Zeng, Danlin Cai, & Daxin Zhu (2022). A Long Command Subsequence Algorithm for Manufacturing Industry Recommendation System with Similarity Connection Technology. International Journal of Mathematical Models and Methods in Applied Sciences, 16, 112–118.

  2. Qingjin Wu, Taisheng Zeng, Daxin Zhu, & Danlin Cai (2022). Design and practice of virtual simulation of industrial Internet. In 2022 4th International Conference on Advances in Computer Technology, Information Science and Communications (CTISC). IEEE.

  3. Fang, Y., Shi, J., Huang, Y., Zeng, T., Ye, Y., Su, L., Zhu, D., & Huang, J. (2022). Electrocardiogram Signal Classification in the Diagnosis of Heart Disease Based on RBF Neural Network. Computational and Mathematical Methods in Medicine, 2022.

  4. Chen, H., Yan, S., Xie, M., Ye, Y., Ye, Y., Zhu, D., Su, L., & Huang, J. (2022). Fully connected network with multi-scale dilation convolution module in evaluating atrial septal defect based on MRI segmentation. Computer Methods and Programs in Biomedicine, 215.

  5. Taisheng Zeng, Tong Yang, Peizhong Liu, & Daxin Zhu (2022). Parkinson Disease Prediction Using Machine Learning–Based Features from Speech Signal. SSRN Electronic Journal.

  6. Shi, J., Ye, Y., Liu, H., Zhu, D., Su, L., Chen, Y., Huang, Y., & Huang, J. (2022). Super-resolution reconstruction of pneumocystis carinii pneumonia images based on generative confrontation network. Computer Methods and Programs in Biomedicine, 215.

  7. Chen, M., Wang, N., Zhu, D., & Shang, J. (2021). An Efficient Algorithm for Spatio-Textual Object Cluster Join. Big Data Research, 25.

  8. Shi, J., Ye, Y., Zhu, D., Su, L., Huang, Y., & Huang, J. (2021). Automatic segmentation of cardiac magnetic resonance images based on multi-input fusion network. Computer Methods and Programs in Biomedicine, 209.

  9. Shi, J., Ye, Y., Zhu, D., Su, L., Huang, Y., & Huang, J. (2021). Comparative analysis of pulmonary nodules segmentation using multiscale residual U-Net and fuzzy C-means clustering. Computer Methods and Programs in Biomedicine, 209.

  10. Ye, Y., Shi, J., Zhu, D., Su, L., Huang, J., & Huang, Y. (2021). Management of medical and health big data based on integrated learning-based health care system: A review and comparative analysis. Computer Methods and Programs in Biomedicine, 209.

  11. Liu, J., Cai, D., Zhu, D., & Huang, S. (2020). A regional industry intelligence business platform based on adaptive clustering. International Journal of Circuits, Systems and Signal Processing, 14, 656-660.

  12. Huang, S., Liu, J., Zhu, D., & Cai, D. (2020). Application of multi-objective evolutionary algorithm in e-commerce recommendation system. Proceedings - 2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2020, 129-132.

  13. Zhang, W., Luo, Y., Chen, Z., Du, Y., Zhu, D., & Liu, P. (2019). A robust visual tracking algorithm based on spatial-temporal context hierarchical response fusion. Algorithms, 12(1).

  14. Wang, X., Wang, L., & Zhu, D. (2019). Efficient computation of longest common subsequences with multiple substring inclusive constraints. Journal of Computational Biology, 26(9), 938-947.

  15. Cai, D., Zhu, D., Wang, L., & Wang, X. (2018). A simple linear space algorithm for computing a longest common increasing subsequence. IAENG International Journal of Computer Science, 45(3), 472-477.

  16. Cai, D., Chen, M., Zhu, D., & Liu, J. (2018). Design of intelligent manufacturing big data cloud service platform. MATEC Web of Conferences, 153.

  17. Zhu, D., Wu, Y., Wang, L., & Wang, X. (2017). A note on the largest number of red nodes in red-black trees. Journal of Discrete Algorithms, 43, 81-94.

  18. Zhu, D., & Wang, X. (2017). A space efficient algorithm for LCIS problem. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10656 LNCS, 70-77.

  19. Zhu, D., Wang, L., Wang, T., & Wang, X. (2017). A space efficient algorithm for the longest common subsequence in k-length substrings. Theoretical Computer Science, 687, 79-92.

  20. Zhu, D., Wang, L., & Wang, X. (2017). An improved O(Rlog log n + n) time algorithm for computing the longest common subsequence. IAENG International Journal of Computer Science, 44(2), 166-171.

  21. Zhu, D., & Wang, X. (2017). An optimal algorithm for a computer game in linear time. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10135 LNCS, 429-438.

  22. Wang, X., & Zhu, D. (2017). Efficient computation for the longest common subsequence with substring inclusion and subsequence exclusion constraints. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10135 LNCS, 419-428.

  23. Wang, X., & Zhu, D. (2017). Improving the efficiency of dynamic programming in big data computing. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10656 LNCS, 78-86.

  24. Liu, P., Guo, J.M., Tseng, S.H., Wong, K., Lee, J.D., Yao, C.C., & Zhu, D. (2017). Ocular Recognition for Blinking Eyes. IEEE Transactions on Image Processing, 26(10), 5070-5081.




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