1、地震监测多分量传感电路与系统研发

2、多维度大区域地震传感数据分析与地震预测算法及核心技术研究

3、AETA系统断裂带分析与监测应用示范

4、基于雷达微多普勒特征稀疏重建的人体行为识别技术及其在老人监护中的应用

5、可重构神经形态阵列架构的深度学习处理器体系结构研究

6、基于脉动阵列架构的低功耗深度学习硬件计算软件仿真系统

7、HRV预警芯片关键技术研究

1、王新安,雍珊珊,徐伯星,梁意文,白志强,安辉耀,张兴,黄继攀,谢峥,林科,何春舅,李秋平.多分量地震监测系统AETA的研究与实现[J].必威betway西汉姆联学报（自然科学版）,2018,54(3):487-494.

2、雍珊珊,王新安*,庞瑞涛金秀如曾敬武韩朝相徐伯星等.多分量地震监测系统AETA的感应式磁传感器磁棒研制[J].必威betway西汉姆联学报（自然科学版）,2018,54(3):495-501.

3、JP. Huang,XA. Wang,Y. Zhao, C. Xin, H. Xiang, “Large earthquake magitude prediction in taiwan based on deeplearning neural network”, Neural Network World.

4、Zhaoyang Guo, Xin’an Wang, Bo Wang, Shanshan Yong,” An Improved Perceptual MBSS Noise Reduction with a SNR-based VAD for a Fully Operational Digital Hearing Aid”, IEICE TRANSACTIONS on Information and Systems, vol.E100D, pp1087-1096, May. 2017.

5、Zhaoyang Guo, Bo Wang,Xin’an Wang, “A comprehensive method to improve loudness compensation and high-frequency speech intelligibility for digital hearing aids”, IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences , Vol.E100A, 7, pp:1552-1556, 201707.

6、Zhaoyang Guo,Xin’an Wang, Bo Wang, Zheng Xie, “A Novel 3D Gradient LBP Descriptor for Action Recognition”, IEICE TRANSACTIONS on Information and Systems, Vol.E100D, QI:6, pp:1388-1392, 201701.

7、Zhaoyang Guo,Xin’an Wang, Shanshan Yong, “A Small-area Single-chip UHF RFID Reader Digital Baseband with TPP encoding algorithm”, ICIC Express Letters, Vol.11, pp:1035-1044，201705.

8、Ke Lin, Bo Wang,Xin’an Wang, Xing Zhang, Tingbing Ouyang, “A novel low-power compact WBS human body channel receiver for wearable vital signal sensing application in wireless body-area network”. Microsystem Technologies, Vol.23,pp:4459-4473,201710.

9、Mo Wang,Xin’an Wang, Zhuochen, Fan, Sixu Zhang, Chen Peng and Zhong Liu, A 3D foot shape feature parameter measurement algorithm based on Kinect2, EURASIP Journal on Image and video processing, (2018)2018:119

10、Mo Wang,Xin’an Wang, Chen Peng, Sixu Zhang, Zhuochen Fan and Zhong Liu Research on EMG segmentation algorithm and walking analysis based on signal envelope and integral electrical signal, photonic network communications, 20181119.

11、Mo Wang,Xin’an Wang, Zhuochen Fan, Fei Chen, Sixu Zhang, Chen Peng, Research on feature extraction algorithm for plantar pressure image and gait analysis in stroke patients, journal of visual communication and image representation, 20181214.

1、DSP芯片：已完成了多颗DSP和SoC芯片设计流片，均达到设计目标。其中reMAP芯片采用粗粒度可重构算子阵列结构，面向计算密集型算法的快速映射；APU研究则采用统一架构细粒度可重构算子阵列，是一种新型FPGA结构，可以大大减少设计中的互连资源和配置信息的存储；cmDSP采用并行多发射的SIMD技术，并设置了协处理器，可以大大提高媒体处理的性能； PKU-DSP SOC芯片采用AMBA总线架构，集成丰富的外设和接口，可以支持多种嵌入式系统应用；IMS-DPU采用同构双核处理器架构，在提高系统性能的基础上确保系统的稳定性，同时研究了多核系统的互联和数据一致性维护。

2、多分量地震监测预测系统AETA：集成多频段地声、多频段电磁扰动的信号监测，监测数据统一发送到云服务器，进行数据分析和预测。

1、专业范围：微电子技术、电子科学与技术、计算机技术、地球物理；

2、中文能力强优先，英语6级；

3、数学能力强优先。