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Liu Lab
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The lab combines sensing and AI to build a society where people and machines are connected.
AboutAbout the lab
Aiming for a society where people and machines coexist.
The Liu Lab studies intelligent sensing systems that combine signal processing, communications, sensor technology, AI, and edge-cloud collaborative computing.
Its targets span a wide range of fields, including autonomous driving, robotics, human-machine integration, and healthcare.
The lab goes beyond basic theory, covering everything from algorithms to hardware to implementation in real environments.
Key terms
- Signal processing
- Technology for extracting and refining necessary information from signals such as sound and radio waves
- Edge-cloud collaborative computing
- A mechanism in which devices such as smartphones and servers on the internet share the processing between them
- Federated learning
- A method in which multiple devices jointly train a single AI model without sending their own local data elsewhere
ResearchResearch themes
The Liu Lab studies intelligent sensing systems that combine signal processing, communications, sensor technology, AI, and edge-cloud collaborative computing. The lab goes beyond basic theory, covering everything from algorithms to hardware to implementation in real environments.
*Illustrative imageIntelligent sensing
The lab works on optimizing the use of radio spectrum, optical wireless sensing and communication, detection of vital signs using radio waves, sign language recognition, and more.
*Illustrative imageEdge-cloud AI
The lab studies federated learning across multiple devices, as well as processing scheduling and compression techniques suited to limited computing resources.
*Illustrative imageHuman-machine integration
The lab works on technology that reads rehabilitation movements from muscle signals, intent detection and control, and modeling of safety and comfort.
*Illustrative imageHealthcare AI
The lab works on contactless vital-sign measurement, tumor classification from MRI images, and prediction from EEG time-series data.
MembersFaculty
The Liu Lab consists of faculty members, visiting researchers, and doctoral, master's, and undergraduate students.
- ProfessorJiang Liu
VoicesStudent voices
Compiled from answers by students who were in the lab. Ratings and reviews reflect individual students' experiences, not the lab's official views.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
On a 4-point scale, ● marks where students' answers fall
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RelatedLabs similar to Liu Lab
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Zoox Toyota Highlander Test Vehicle - Sensor Closeup - San Francisco, May 2025 07” 9yz / CC BY 4.0 (cropped)
- Intelligent sensing: “Austin Bat Bridge By Dan Pancamo” Dan Pancamo / CC BY-SA 2.0 (cropped)
- Edge-cloud AI: “Godorf Cologne HGK-Marshalling-Yard-01” CEphoto, Uwe Aranas / CC BY-SA 3.0 (cropped)
- Human-machine integration: “Two man saw” Rosser1954 / Public domain (cropped)
- Healthcare AI: “CDC PHIL 10148 – candling, fertilized egg, non-viable” CDC / Dr. Joseph McDade / Public domain (cropped)
- Related lab (Maehara Lab): “Advanced Technology Demonstrator radar antenna array 01” NOAA / Public domain (cropped)
- Related lab (Katto Lab): “Studio A broadcast area ( )” Atomic Taco from Seattle, WA, USA / CC BY-SA 2.0 (cropped)
- Related lab (Morita Lab): “Optical fiber in protective coating that transports a Laser beam - Laser Physics Lab - NTNU-NT” NTNU, Faculty of Natural Sciences and Technology / CC BY 2.0 (cropped)
- Related lab (Wen Lab): “Navigation Technology Satellite – II” U.S. Navy / Public domain (cropped)
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