唐胜达 

博士、副教授、硕士生导师(学术型) 

随机过程理论与应用

1.本科生：《高等数学》、《线性代数》、《概率论与数理统计》、《随机过程》

2.研究生: 《随机过程》、《随机优化及应用》

参与：

1. 2013.1～2016.6，广西面上项目“α混合样本下的经验似然推断”课题的研究；

2. 2013.1～2016.6，广西面上项目“基于跳风险与随机波动相关市场的金融衍生品定价方法与应用研究”课题的研究。

主持:

1. 2019-01-01至2021-12-31主持广西自然科学基金（NO. 2018GXNSFAA281238），衰落信道下EH-WSN节点的事件驱动最优传输功率研究；

2. 2018.01- 2021.12主持国家自然科学基金“具有暂时死亡防范机制的EH-WSN节点的建模与性能分析”（NO：61761008）；

3. 2017.09-2019.09主持广西高校数学与统计模型重点实验室开放基金“随机流体队列性能分析及其在风险理论中的应用”(NO：2017GXKLMS002)；

4. 2018.01- 2019.12主持博士启动基金“能量获取无线传感网络节点的若干问题研究”(NO：17A4)；

5. 2017.09-2019.09主持广西师范大学教育教学改革B类项目,“互联网+背景下《概率论与数理统计》课程的SPOC教学模式探究”（NO：2017XJB31）；

6.2017.09-2019.09主持广西师范大学《应用随机过程》建设项目，在研；

7. 2011.08-2013.12主持广西教育厅科研立项目“随机流体队列的性能分析与应用”（NO：201106LX067）。

（Selected publications from 2015）

[10] Tang S., Wang X., Battery-Level-Triggered Transmit Power Control for Energy Harvesting Communications. IEEE Transactions on Wireless Communications, 2020, 19(12): 8011-8023. SCI, IF= 6.779.

[9] Tang S, Tan L, Liu T. Modeling and performance analysis of energy harvesting wireless communication systems with reliable energy backup. International Journal of Communication Systems, 2020: e4698. SCI, IF= 1.319.

[8] Wu X, Tan L., Tang S., Optimal Energy Supplementary and Data Transmission Schedule for Energy Harvesting Transmitter With Reliable Energy Backup[J]. IEEE Access, 2020, 8: 161838-161846. SCI, IF= 3.745.

[7] Tang S., Tan L., Single-Wavelength Optical Buffers with General Burst Size Distribution: Blocking Probability and Mean Delay[J]. Optical Switching and Networking, 2018. SCI, IF=1.137. 

[6] Tang S., Tan L., Reward Rate Maximization and Optimal Transmission Policy of EH Device With Temporal Death in EH-WSNs[J]. IEEE Transactions on Wireless Communications, 2017, 16(2): 1157-1167.SCI, IF= 2.925.

[5] Lu H.,Tang S., Tan L, et al. Blocking and delay analysis of single-wavelength optical buffer with delay constrained packets[J]. Photonic Network Communications, 2017: 1-9. SCI, IF= 0.557.

[4] Tan L., Tang S., Energy harvesting wireless sensor node with temporal death: Novel models and analyses[J]. IEEE/ACM Transactions on Networking, 2017, 25(2): 896-909. SCI, IF=2.186.

[3] Tang S., Tan L., Analysis of Blocking Probability of Multi-Class OBS With General Burst Size Distribution[J]. IEEE Communications Letters, 2016, 20(11): 2153-2156. SCI, IF=1.291.

[2] Tang S., Tan L., Chan S., On blocking time in multi‐class optical burst switching nodes[J]. International Journal of Communication Systems, 2017, 30(6).SCI, IF= 1.099.

[1] Tang S., Tan L., Erlangian approximation to finite time probability of blocking time of multi-class OBS nodes. Photonic Network Communications, 2015, 30(2): 167-177. SCI, IF= 0.557.