GONG, Qin-School of Medicine, Tsinghua University

Neural Engineering


Contact Us:
Tel: +86-10-62773014
E-mail: gongqin@mail.tsinghua.edu.cn
WeChat public account:

    2005-Present, Associate professor in Dept. of BME, Medical school, Tsinghua University, China

    2002-2005, Research Associate professor, Northwestern University, U.S.

    1994-2002, Associate Professor/Assistant professor in Dept. of Electrical Engineering, Tsinghua University, China

    1997-2001, Ph. D. student, Tsinghua University, China

    1991-1994, M.S. student, Beijing University of Aeronautics & Astronautics, China

    1986-1991, Double B.S. student, Tsinghua Uninversity, China

My dream has always been to develop the cost-effective instruments to detect and rehabilitate the hearing losing noninvasively and objectively. Despite many different kinds of auditory disease and challenges of over 70 million deafer in the world, I still imagine the day that each hearing losing ear can be diagnosed eaily and recovered quickly. The efforts of my laboratory constitute only a tiny proportion in this field around the world, but as long as we keep ploughing and diligence, we believe the dream will come to true in one day.

1. Mechanism studies and signal detection about auditory system. Including:OAEs, CAP,AEP,FFR and auditory propagation pathway.

2. Cochlear rehabilitation. Focused on Novel speech processing strategy, Developent of Research Platform for new speech processing strategy, Speech enhancement by microphone array techniques on Cochlear Implant.

1.Xiaochen Zhang and Qin Gong (C). Correlation between the frequency difference limen and an index based on principal component analysis of the frequency-following response of normal hearing listeners.Hearing Research. 2017, 344: 255-264.

2.Xiaochen Zhang , Xiaolin Li, Jingjing Chen, Qin Gong(C).Background suppression and its relation to foreground processing of speech versus non-speech streams.Neuroscience2018373 (2018) 60–71

3.Dongjia Xing and Qin Gong(C). A fast algorithm for themeasurement of stimulus frequency otoacoustic emission suppression tuning curves. Applied acoustics. 2018, 129:173-190

4.Dongjia Xing, Qin Gong(C). Frequency specificity and left-ear advantage of medial olivocochlear efferent modulation: a study based on stimulus frequency otoacoustic emission. NeuroReport, 2017, 28 (13),775-778

5.Gong Qin (C), Xu Q, Sun W. Design and implementation of frequency-following response recording system[J]. International journal of audiology, 2013, 52(12): 824-831.

6.Yousheng C, Gong Qin(C). A normalized beamforming algorithm for broadband speech using a continuous interleaved sampling strategy[J]. IEEE Trans Audio Speech Language Process, 2012, 20(3): 868-874.