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@@ -61,7 +61,7 @@ <h2>Ziqi Wang</h2>
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<p>Ziqi Wang received his M.S degree at <ahref=https://www.ucla.edu/> UCLA</a><ahref="https://www.ee.ucla.edu/">ECE Department</a> in 2020, and his B.Eng. degree in Electrical Engineering from <ahref="https://www.fudan.edu.cn/en/">Fudan University</a>, China in 2018. He is currently pursuing his Ph.D. Degree in the Signal and Systems area at UCLA. Working as a graduate student researcher at Networked and Embedded Systems Laboratory (<ahref="http://nesl.ee.ucla.edu/">NESL</a>), he is under the supervision of Prof. Mani B. Srivastava. <br>
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His research interests generally lie in the area of Mobile Sensing, Mobile Computing, Signal Processing and Internet of Things, for example, detection and recognition of human activities with wireless sensing modalities. He is also interested in developing secure learning-enabled systems that enable fascinating applications, e.g., smart home management and wireless eavesdropping.<br>
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His research interests generally lie in the area of Mobile Sensing, Mobile Computing, Signal Processing and Internet of Things, for example, detection and recognition of human activities with wireless sensing modalities. He is also interested in developing secure learning-enabled systems leading to fascinating applications, e.g., smart home management and wireless eavesdropping.<br>
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Ziqi is recognized as the Outstanding Graduates of Fudan University in 2018, as well as Best Student Poster/Demo Honorable Mention at the ECE Annual Research Review of UCLA.</p>
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<h3>Recent News</h3>
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<li>[2019.06] Our paper "UWHear: Through-wall Extraction and Separation of Audio Vibrations Using Wireless Signals" was accepted by SenSys 2020.</li>
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<li>[2020.06] Obtained M.S. Degree in Electrical and Computer Engineering at UCLA! Thesis entitled "<i>Towards Robust and Secure Audio Sensing Using Wireless Vibrometry and Deep Learning".</i></li>
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