2017年-2019年，研究员，University of Wisconsin Madison

2016年-2017年，博士后，University of Wisconsin Madison

2010 年-2015 年，博士，上海交通大学 专业：仪器科学与技术 研究方向：自确认传感器

2003 年-2007 年，本科，湘潭大学 专业：通信工程

• Boquan Liu, Evan Polce, Julien Clinton Sprott, Jack Jiang, “Applied chaos level test for validation of signal conditions underlying optimal performance of voice classification methods,” J Speech Lang Hear Res, 2018, vol. 61, pp. 1130-1139. (SSCI/SCI)
• Boquan Liu, Evan Polce, Jack Jiang, “Application of local intrinsic dimension for acoustical analysis of voice signal components,” Annals of Otology, Rhinology & Laryngology, 2018, vol. 127, no. 9, pp. 588–597. (SSCI/SCI)
• Boquan Liu, Evan Polce, Hayley Raj, Jack Jiang, “Quantification of Voice Type Components Present in Human Phonation Using a Modified Diffusive Chaos Technique,” Annals of Otology, Rhinology & Laryngology, 2019, vol. 128, no. 10, pp. 885-893. (SSCI/SCI)
• Boquan Liu, Evan Polce, Jack Jiang, “An objective parameter to classify voice signals based on variation in energy distribution,” J Voice, 2019, vol. 33, no.5, pp.591-602. (SCI)
• Boquan Liu, Jacob F. Resis, Jack Jiang, “Probability-Based Best Sample Selection for Acoustic Analysis of Normal and Disordered Voices” J Voice, 2020, Accepted. (SCI)
• Boquan Liu, Tao Han, and Chenrui Zhang,“Error Correction Method for Passive and Wireless Resonant SAW Temperature Sensor,” IEEE Sensors Journal, 2015, vol. 15, no. 6, pp. 3608-3614. (SCI)
• Boquan Liu, Chenrui Zhang, Xiaojun Ji, Jing Chen,and Tao Han “An Improved Performance Frequency Estimation Algorithm for Passive Wireless SAW Resonant Sensors,” Sensors, 2014, vol. 14, no. 12, pp. 22261-22273. (SCI)
• Boquan Liu and Yicheng Zeng, “Uncertainty-Aware Frequency Estimation Algorithm for Passive Wireless Resonant SAW Sensor Measurement,” Sensors & Actuators: A. Physical, 2016, vol. 237, pp. 136-146. (SCI)
• Boquan Liu, Pinghua Tang, “A context-aware frequency estimation method for wireless passive resonant SAW sensors,” Sensor Rev, 2017, vol. 37, no. 4, pp. 458-467. (SCI)
• Boquan Liu, “A Noise-Robust Method for Passive Wireless Resonant SAW Sensor,” Sensor Rev, 2016, vol. 36, no. 3, pp.312-320. (SCI)
• Boquan Liu, “Super-resolution measurement method for passive wireless resonant surface acoustic wave sensor” Sensor Rev, 2020, vol. 40, no. 1, pp. 107-111. (SCI)
• Boquan Liu, Yulin Han, and Tao Han, “Self-validating passive wireless SAW sensor,” 2013 Symposium on Piezoelectricity, Acoustic Waves, and Device Applications, pp. 1-4, 2013. (EI)
• Boquan Liu, “Measurement Reliability Prediction for Passive Wireless Resonant SAW Sensor System,” 2015 IEEE Ubiquitous Intelligence and Computing Conference, Advanced and Trusted Comp., pp. 859-862, 2015. (EI)
• Boquan Liu, and Chenrui Zhang, “Real-time Measurement Quality Evaluation for Passive and Wireless Resonant SAW Sensor,” 2015 Symposium on Piezoelectricity, Acoustic Waves, and Device Applications, pp. 59-62, 2015. (EI)
• 刘伯权，郭佳佳，罗治民，声表面波谐振器回波信号的频率估计，电子与信息学报，2019, vol. 41, no. 9, pp. 2087-2094.. (EI)
• 刘伯权，曾以成，邬鑫锋，采用非负矩阵分解的语音盲分离，计算机工程与设计，2011，vol.32, no. 1, pp.251-254.
• 刘伯权，曾以成，邬鑫锋，独立分量分析与时频掩蔽结合的语音盲分离，计算机工程与应用，2010, vol. 46, no. 32, pp. 130-133.
• Le Xiong, Sen Zhang, Yicheng Zeng, Boquan Liu, “Dynamics of A New Composite Four - scroll Chaotic System,” Chinese J Phys, 2018 Accepted. (SCI)
• Pinghua Tang, Feijuan Zhang, Man Wu, Bin Huang, Jun Liu, Xiang Qi, Boquan Liu and Chujun Zhao “Stable Q-switched operation of a resonantly diode pumped Er:YAG laser at 1617 and 1645 nm by Cr2+:ZnSe crystal,” J Nonlinear Opt Phys & Materials, 2017, vol. 26, no. 04, pp. 1750047. (SCI)
• Jing Chen, Qiaozhen Zhang, Tao Han, Zhou Liu, Gongbin Tang, Boquan Liu, and Xiaojun Ji, “Theoretical Analysis of Surface Acoustic Wave Propagating Property of Y cut Nano Lithium Niobate Film on Silicon Dioxide,” AIP Advances, 2015, vol. 5, no. 8, pp. 087173. (SCI) 

主要参与项目：

(1) 无线无源声表面波传感器超分辨率测量方法研究, 国家自然科学 基金青年项目 (No. 61601395), 2017.01-2019.12, 负责人
(2) National Institutes of Health, NIH Grant No. R01-DC006019 from the National Institute of Deafness and other Communication Disorders 参与
(3) 国家自然科学基金 (Nos. 11174205, 11474203)参与