个人简历 Resume

2010- 至今 清华大学医学院生物医学工程系 博士生导师、副教授

2005- 至今 清华大学医学院生物医学工程系 副教授

2002-2005 美国西北大学 Visiting Associate Professor

2001-2002 清华大学电机系 副教授

1994-2001 清华大学电机系 助教、讲师

1997-2000 清华大学电机系 工学博士

1991-1994 北京航天航空大学机电工程系 工学硕士

1986-1991 清华大学精密仪器系 获双学士学位（精密仪器，自动控制）

2010-Present Ph.D. Advisor & Associate Professor, School of Medicine,Tsinghua University, Beijing, China

2005-Present Associate Professor, School of Medicine,Tsinghua University, Beijing, China

2002-2005 Visiting Associate Professor, Hearing Research Center of CSD Northwestern University, USA.

2001-2002 Associate Professor, BME Division, Dept. of Electrical Engineering, Tsinghua University, Beijing, China

1994-2001 Lecturer, BME Division, Dept. of Electrical Engineering, Tsinghua University, Beijing, China

1997-2000 Ph.D., Biomedical Engineering, Dept. of Electrical Engineering, Tsinghua University, Beijing, China

1991-1994 Master, Detection of Mechanical & Electrical Engineering,Dept. of Mechanical & Electrical Engineering, Beijing Uni. of Aeronautics & Astronautics (BUAA), Beijing, China

1986-1991 Bachelor, Precision Instruments Engineering, Dept. of Precision Instruments & Mechanical Engineering, Tsinghua University, Beijing, China

研究领域与方向 Research Fields

宫琴的实验室专注于听觉系统的检测分析、康复工程和认知工程的研究。通过现代信号处理方法， 研究听觉系统从听觉外周、听神经到听觉中枢的传输通路和机制；并对疑难听觉病症进行精准定位。 研发电子耳蜗（CI）调试平台、言语编码策略和前端语音增强算法以提高 CI 佩戴者的言语识别率。 通过频率跟随响应、失匹配负波、中潜伏期、听觉稳态相应等研究手段结合功能磁共振，探索听 觉中枢对不同刺激声及背景噪声下的听觉处理机制。

Dr. Gong’s primary research interest is auditory system focusing on detection and analysis of the auditory system, rehabilitation engineering and auditory cognition. Using modern signal processing methods, Dr. Gong’s team detects signals from auditory peripheral, auditory nerve, and auditory center, to investigate the mechanisms and circuits underlying auditory pathway, and attempt to develop objective methods with pinpoint accuracy to the auditory diseases. In addition, Dr. Gong’s team also develops the debugging platforms, speech encoding strategies suitable for Mandarin tones, and improved front-end speech enhancement algorithms for cochlear implant (CI) to improve CI user's speech discrimination rates. Recently, based on frequency-following response (FFR), mismatch negativity (MMN), middle latency potential (MLP), auditory steady state (ASSR),and functional magnetic resonance imaging (fMRI), Dr. Gong’s team is studying the processing mechanism of auditory center on different stimuli and background noise, and exploring to establish the objective evaluation approach on speech discrimination rates for CI user

联系方式

+86-10-62773014

gongqin@mail.tsinghua.edu.cn