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WANDS HKUST

Welcome to the WANDS (Wireless And Networked Distributed Sensing) research group at the Hong Kong University of Science and Technology (HKUST), led by Professor Mo Li from the Department of Computer Science and Engineering.

Our group advances pervasive sensing, networking, and computing. We develop new technologies and systems for seamless sensing and interaction with the physical world. Our goal is to enable smarter communication, improved control, and a deeper understanding of connected environments.

Research Areas:

  • Low altitude economy
  • Wireless sensor networks
  • Mobile sensing and computing
  • Ubiquitous and distributed systems

Our mission is to pursue impactful and novel research in these domains, bridging academic excellence and real-world applications across diverse industries.

For more information, visit our website: https://wands.hk

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  1. LIMU-BERT_Experience LIMU-BERT_Experience Public

    LIMU-BERT-X is a sensor foundation model pretrained with 1.43 millions hours of IMU data

    Python 58 15

  2. WANDS_Acoustic-Facial-Recognition WANDS_Acoustic-Facial-Recognition Public

    The full operation stack of AcFace - an acoustic based facial recognition system that is designed to deliver robust performance even under facial masks.

    Jupyter Notebook

  3. WANDS_LIMU-BERT WANDS_LIMU-BERT Public

    LIMU-BERT is a pioneering sensor foundation model

    Python 2

  4. penetrative-ai penetrative-ai Public

    Penetrative-AI is a pioneering concept of integrating LLMs and IoT sensors

    JavaScript

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