主持科研项目：

[1] 国家自然科学基金重点项目子课题

[2] 国家自然科学基金面上项目

[3] 国家自然科学基金青年项目

[4] 江苏省青年自然科学基金

[5] 江苏省双创博士

[6] 东南大学无线通信国家重点实验室开放课题基金

[7] 电磁频谱工信部重点实验室开放课题基金

[8] 西电综合业务网理论及关键技术国家重点实验室开放课题基金

[9] 电子信息系统复杂电磁环境效应国家重点实验室课题项目A

[10] 电子信息系统复杂电磁环境效应国家重点实验室课题项目B

[11] 中国航天科工集团八五一一研究所项目

[12] 中国电子科技集团三十六所项目A

[13] 中国电子科技集团三十六所项目B

代表性科研论文：

[J1].Z. Wang* and C. Ling, “Lattice Gaussian sampling by Markov chain Monte Carlo: Bounded distance decoding and trapdoor sampling,” IEEE Transactions on Information Theory, vol. 65, no. 6, pp. 3630-3645, June, 2019.

[J2].Z. Wang* and C. Ling, “On the geometric ergodicity of Metropolis-Hastings algorithms for lattice Gaussian sampling,” IEEE Transactions on Information Theory, vol. 64, no. 2, pp. 738-751, Feb, 2018.

[J3].Z. Wang*, R. M. Gower, Y. Xia, L. He and Y. Huang, “Randomized Iterative Methods for Low-Complexity Large-Scale MIMO Detection,” IEEE Transactions on Signal Processing, vol. 70, pp. 2934-2949, 2022.

[J4].Z. Wang*, R. M. Gower, C. Zhang, S. Lyu, Y. Xia and Y. Huang, “A Statistical Linear Precoding Scheme Based On Random Iterative Method For Massive MIMO Systems,” IEEE Transactions on Wireless Communications, 2022.

[J5].Z. Wang*, L. Liu and C. Ling, “Sliced Lattice Gaussian Sampling: Convergence Enhancement and Decoding Optimization,” IEEE Transactions on Communications, 2021.

[J6].Z. Wang*, S. Lyu, Y. Xia and Q. Wu, “Expectation Propagation-based Sampling Decoding: Enhancement and Optimization,” IEEE Transactions on Signal Processing, 2021.

[J7].Z. Wang*, Y. Xia, J. Li and Q. Wu, “A New Method of Integer Parameter Estimation in Linear Models with Applications to GNSS High Precision Positioning,” IEEE Transactions on Signal Processing, 2021.

[J8].Z. Wang*, Y. Huang and S. Lyu, “Lattice-Reduction-Aided Gibbs Algorithm for Lattice Gaussian Sampling: Convergence Enhancement and Decoding Optimization,” IEEE Transactions on Signal Processing, vol. 67, no. 16, pp. 4342-4356, Aug, 2019.

[J9].Z. Wang*, “Markov chain Monte Carlo Methods for Lattice Gaussian Sampling: Convergence Analysis and Enhancement,” IEEE Transactions on Communications, vol. 67, no. 16, pp. 6711-6724, Oct, 2019.

[J10]. Z. Wang*, S. Lyu, L. Liu and Y. Xia, “Learning-Aided Markov Chain Monte Carlo Scheme for Spectrum Sensing in Cognitive Radio, ” IEEE Transactions on Vehicular Technology, vol. 71, no. 10, pp. 11301-11305, Oct. 2022.

[J11]. Z. Wang*, S. Liu and C. Ling, “Decoding by sampling part II: Derandomization and soft-output decoding,” IEEE Transactions on Communications, vol. 61, no. 11, pp. 4630-4639, Nov, 2013.

执教课程：

《数字图像处理》春季学期，本科课程

《信息通信网络概论》秋季学期，本科课程

《大规模MIMO信号检测理论与方法》秋季学期，研究生课程

《机器学习与人工智能导论》2019-2021，本科课程

《卫星通信》2018-2021，本科课程

授权专利：

[1] 一种基于无人机的异构频谱网络三维频谱感知方法，ZL201810845457.0

[2] 基于北斗扫描的天地一体频谱大数据平台，ZL201810889103.6

[3] 基于双层网络编码的高能效协作中继网络传输方法， ZL201811112326.8

[4] 无线携能双向中继网络中面向用户公平性的容量最大化传输方法，ZL 201810946015.5

        欢迎有志于攻读硕士学位的优秀同学积极与我联系。本人指导的多位研究生在国际权威期刊和会议发表了多篇论文，获得国家奖学金、优秀学业奖学金、优秀毕业论文、优秀毕业生等多项奖励与荣誉，并指导学生荣获互联网+大学生创新创业大赛二等奖，大学生物联网技术与应用三创大赛二等奖等荣誉。

更多个人信息，请见个人主页：https://seu-zheng-wang.github.io/