彭宏，男，1966年7月生，博士，教授，硕士研究生导师，四川省第九批学术与技术带头人后备人选。1990年至今，先后在西华大学数学与计算机学院、无线电管理技术研究中心从事教学与科研工作。2011年—2012 年在西班牙Seville大学自然计算研究组访问学者。主要研究领域为模式识别与图像处理、云计算与大数据挖掘、生物启发的新型计算模型、无线传感网等。作为项目负责人或主研承担国家自然基金项目、教育部春晖计划项目、四川省科技支撑计划项目、产学研项目等30 余项。在《IEEE Transactions on Fuzzy Systems》、《Information Sciences》、《Signal Processing》、《Journal of Systems and Software》、《Annals of Telecommunications》、《Multimedia Tools and Applications》、《电子学报》、《计算机研究与发展》、《模式识别与人工智能》等期刊和国际学术会议上发表有关学术论文70余篇，其中SCI/EI收录40余篇。
近五年发表的部分学术论文:
1. Xiaoli Huang, Hong Peng, Yang Jiang, Jiarong Zhang, Jun Wang. PSO-MC: A Novel PSO-Based Membrane Clustering Algorithm. ICIC Express Letters, 2014, 8(2): 497-503.
2. Yang Jiang, Hong Peng, Xiaoli Huang, Jiarong Zhang, Peng Shi, A novel clustering algorithm based on P systems, International Journal of Innovative Computing, Information and Control, 2014, 10(2): 753-765.
3. M. Tu, J. Wang, H. Peng, P. Shi. Fault diagnosis model of power systems based on adaptive fuzzy spiking neural P systems. Chinese Journal of Electronics, 2014, 23 (1):87-92.
4. Hong Peng, Jun Wang, Mario J. Pérez-Jiménez, Agustín Riscos-Núñez. The framework of P systems applied to solve optimal watermarking problem. Signal Processing, 2014, 101: 256-265.
5、彭宏,蒋洋,王军, Pérez-Jiménez MJ. 一种带混合进化机制的膜聚类算法.软件学报,2014. http://www.jos.org. cn/1000-9825/4657.htm
6. Hong Peng, Bing Li, Xiaohui Luo, Jun Wang, Zulin Zhang. A learning-based audio watermarking scheme using kernel Fisher discriminant analysis. Digital Signal Processing, 23(1), 2013: 382–389.
7. Hong Peng, Jun Wang, Mario J. Pérez-Jiménez and Peng Shi. A novel image thresholding method based on membrane computing and fuzzy entropy. Journal of Intelligent & Fuzzy Systems, 24(2), 2013: 229–237.
8. Hong Peng, Jun Wang, Zulin Zhang. Audio watermarking scheme robust against desynchronization attacks based on kernel clustering. Multimedia Tools and Applications, 62(3), 2013: 681-699.
9. Hong Peng, Jun Wang, Mario J. Pérez-Jiménez, Hao Wang, Jie Shao, Tao Wang. Fuzzy reasoning spiking neural P system for fault diagnosis. Information Sciences, 235, 2013: 106-116.
10. Jun Wang, Peng Shi, Hong Peng, Mario J. Pérez-Jiménez, and Tao Wang. Weighted Fuzzy Spiking Neural P Systems. IEEE Transactions on Fuzzy Systems, vol. 21, no. 2, 2013: 209-220.
11. Jun Wang, Hong Peng. Adaptive fuzzy spiking neural P systems for fuzzy inference and learning. International Journal of Computer Mathematics, 90(4), 2013: 857-868.
12. Hong Peng, Zulin Zhang, Jun Wang, Peng Shi, Audio watermarking framework using multi-objective particle swarm optimization, International Journal of Innovative Computing, Information and Control, 9(7), 2013: 2789-2800.
13. Yufan Yang, Hong Peng, Yang Jiang, Xiaoli Huang, Jiarong Zhang. A region-based image segmentation method under P systems. Journal of Information and Computational Science, 10(10), 2013: 2943-2950.
14、Hao Wang, Hong Peng, Jie Shao. A thresholding method based on P systems for image segmentation. ICIC Express Letters, 6(1), 2012: 221-227.
15、Tao Wang, Jun Wang, Hong Peng and Min Tu. Optimization of PID Controller Parameters Based on PSOPS Algorithm. ICIC Express Letters, 6(1), 2012: 273-280.
16. Hong Peng, Jun Wang. Optimal audio watermarking scheme using genetic optimization. Annals of Telecommunications, 66(5-6), 2011: 307-318.
17. Jun Wang, Li Zhou, Hong Peng, Gexiang Zhang. An extended spiking neural P system for fuzzy knowledge representation. International Journal of Innovative Computing, Information and Control, 7(7A), 2011: 3709-3724.
18. Jun Wang, Hong Peng, Peng Shi. An optimal image watermarking approach based on a multi-objective genetic algorithm. Information Sciences 181(24), 2011: 5501–5514.
19、彭宏,王珣,王军,王卫星,胡德宇. 基于音频特征的多小波域水印算法. 计算机研究与发展, 47(2), 2010: 216-222.
20、Hong Peng, Jun Wang, Weixing Wang. Image watermarking method in multiwavelet domain based on support vector machines. Journal of Systems and Software, 83, 2010: 1470-1477.
