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https://song-qun.github.io/

html song-qun.github.io collected 2026-10-03 09:58:17 UTC 13,200 bytes, 339 lines download raw bytes

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11<meta name="description" content="I received my Ph.D. from Nanyang Technological University, Singapore in 2022. I was supervised by Prof. [Tan Rui](https://personal.ntu.edu.sg/tanrui/) leading the [NTU IoT Sensing Group](https://ntuiot.xyz/). Before that, I received my B.Eng. from Nankai University in 2018.
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78      <a class="navbar-brand title font-weight-lighter" href="https://song-qun.github.io/">
79       <span class="font-weight-bold">Qun</span>   SONG
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193    <h1 class="post-title">
194     <span class="font-weight-bold">Qun</span>  SONG
195    </h1>
196     <p class="desc"></p>
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216Put your address / P.O. box / other info right below your picture. You can also disable any these elements by editing `profile` property of the YAML header of your `_pages/about.md`. Edit `_bibliography/papers.bib` and Jekyll will render your [publications page](/al-folio/publications/) automatically.
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219
220<p>I am an Assistant Professor in the Department of Electrical Engineering at the City University of Hong Kong. 
221<!-- Previously, I was an Assistant Professor in the Information Systems Technology and Design Pillar at the Singapore University of Technology and Design from 2024 to 2025.  -->
222<!-- Before that, I was an Assistant Professor at Delft University of Technology in the Netherlands from 2022 to 2024. -->
223<!-- I am currently an Assistant Professor in the [Embedded Systems Group](https://www.tudelft.nl/ewi/over-de-faculteit/afdelingen/software-technology/embedded-systems) of the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at Delft University of Technology, the Netherlands. -->
224I received my Ph.D. from Nanyang Technological University (NTU), Singapore. Before that, I received my B.Eng. from Nankai University, China.</p>
225
226<!-- **I am seeking multiple Ph.D. students and RAs to join my research team and work on resilient and deployable AIoT systems. Check the job description [here](https://song-qun.github.io/opening/).** -->
227
228<p><strong><span style="color: red;">I am continuously looking for self-motivated PhDs/Postdocs/RAs to join me at CityUHK 
228in developing novel AI-powered CPS/IoT systems. Check the job description <a href="https://song-qun.github.io/opening-PhD/">here</a>.</span></strong></p>
229
230<!-- **<span style="color: red;">I have openings for 1-2 fully-funded Ph.D. students with strong interest in developing robust and efficient AI-powered CPS/IoT systems. Check the job description [here](https://song-qun.github.io/opening-PhD/).</span>** -->
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232<!-- **<span style="color: red;">I have openings for 1-2 research assistants/associates/fellows to work on acoustic SLAM. Check the job description [here](https://song-qun.github.io/opening-acoustic-SLAM/).</span>** -->
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234<!-- **<span style="color: red;">CSC-funded visiting students are welcome to join our team.</span>** -->
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236<!-- My research interests also include exploiting physical knowledge to advance the learning process on embedded devices and developing privacy-preserved AIoT systems. -->
237
238<p>My research aims to advance AI-powered cyber-physical systems (CPSs) and Internet of Things (IoT) systems by addressing critical real-world challenges (e.g., robustness, security, privacy, efficiency, multi-modal fusion, etc.) and developing novel sensing technologies powered by AI. Some ongoing topics include:</p>
239
240<ul>
241  <li>Robust and Secure AI for CPS/IoT:
242    <ul>
243      <li>Physical-world adversarial example attacks</li>
244      <li>Vulnerability analysis and attack mitigation of adversarial examples in critical systems (e.g., autonomous driving and smart grids).</li>
245    </ul>
246  </li>
247  <li>AI-Powered Novel Sensing Applications:
248    <ul>
249      <li>Acoustic-based indoor localization and simultaneous localization and mapping (SLAM)</li>
250      <li>Large foundation models for sensing</li>
251    </ul>
252  </li>
253  <li>Privacy-Preserving CPS/IoT:
254    <ul>
255      <li>Data obfuscation for privacy-preserving mobile-cloud inference</li>
256      <li>Defenses against gradient inversion attacks in federated learning</li>
257    </ul>
258  </li>
259  <li>Efficient and Personalized Edge Sensing
260    <ul>
261      <li>Physics-guided data augmentation for efficient model adaptation</li>
262    </ul>
263  </li>
264</ul>
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306    © Copyright 2026 Qun  SONG.
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