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Artificial Intelligence of Things Laboratory(AIoT Lab.) at POSTECH

aims to develop and expand the use of wireless networks and human voice. We are currently interested in applications of AI in mobile networks and voice processing, and signal processing in wireless networks*.

* : UWB, Bluetooth signals

Research Topics

Wireless Communication and Artificial Intelligence

    • Human Activity Recognition

      Activity recognition can be done even with commercial standard signals.

    • Gesture Recognition

      Hand gestures can be recognized without any camera or globe sensor.

    • Fall Detection

      Fall detecting is a valuable task for elderly people.

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    • Indoor Positioning System

      Indoor position can be approximated using the angle and traversal time of wireless signal.

    • IPS in Emergency

      IPS technique is useful when finding position in building, emergency situation as fire.

    • Passive IPS

      Based on our next-level study, there will be no need for target to carry IPS beacon.

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    • Full-Duplex Communication

      Full-duplex allows us to enjoy real duplex communication.

    • Massive MIMO

      Several antennas can help receiving more accurate signal, or sending more spatial streams.

    • Reinforcement-learned SON

      Borrowing the power of RL, self-organizing network performance can be enhanced.

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    • Backscatter Network

      Different from the traditional backscatter network as RFID, now a tag can use generic Wi-Fi or BT signals.

    • Federated Learning

      Using MANET and IoT devices, we can deploy a federated learinng system.

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If you're interested,

feel free to contact our lab manager!

yohopostech.ac