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Wen Lab
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The lab combines networks and AI in research on IoT, satellite positioning, and more.
AboutAbout the lab
Combining networks and AI
The Wen Lab conducts research that combines AI with IoT, satellite positioning, and communication networks.
The lab works on technology to detect spoofing signals in satellite positioning such as GPS, and on using AI for weather radar observation.
The lab also studies technology to compensate for communication delay in remote monitoring systems.
Key terms
- IoT
- A variety of everyday devices and equipment that are connected to the internet
- Satellite positioning
- A system that determines position using radio signals from satellites (e.g., GPS)
- Bayesian neural network
- A type of neural network based on probability that can also handle the variability in its judgments
ResearchResearch themes
The Wen Lab conducts research that combines AI with satellite positioning, weather radar observation, and communication networks. The lab works on GPS spoofing detection and on technology to compensate for communication delay in remote monitoring and remote operation.
*Illustrative imageCompensating for Communication Delay with Video Prediction
In remote monitoring systems, the lab studies methods to compensate for communication delay by predicting how the video will unfold.
*Illustrative imageObserving Clouds with Weather Radar
The lab studies methods to estimate the amount of water contained in clouds, using dual-frequency radar and Bayesian neural networks.
*Illustrative imageGPS Spoofing Detection
The lab studies methods to detect spoofing signals in satellite positioning such as GPS, using multiple sensors and machine learning.
*Illustrative imageSpoofing Countermeasures for Drone Formations
The lab studies methods to detect spoofing signals using the satellite positioning information obtained when multiple drones fly in formation.
MembersFaculty
- Associate Professor (Fixed-Term)Zheng Wen
VoicesStudent voices
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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: “Navigation Technology Satellite – II” U.S. Navy / Public domain (cropped)
- Compensating for Communication Delay with Video Prediction: “Andromeda Galaxy (with h-alpha)” Adam Evans / CC BY 2.0 (cropped)
- Observing Clouds with Weather Radar: “Nssl0026 - Flickr - NOAA Photo Library” OAR/ERL/National Severe Storms Laboratory (NSSL). / Public domain (cropped)
- GPS Spoofing Detection: “Great reed warbler nest with eggs” AttilaMarton1 / CC BY-SA 4.0 (cropped)
- Spoofing Countermeasures for Drone Formations: “Canada Geese (Branta canadensis) in Flight - Saskatoon 01” Ryan Hodnett / CC BY-SA 4.0 (cropped)
- Related lab (Katto Lab): “Studio A broadcast area ( )” Atomic Taco from Seattle, WA, USA / CC BY-SA 2.0 (cropped)
- Related lab (Maehara Lab): “Advanced Technology Demonstrator radar antenna array 01” NOAA / Public domain (cropped)
- Related lab (Nakazato Lab): “Network cables in server room” ProjectManhattan / CC BY-SA 3.0 (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)
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