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Tran Lab
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A lab that builds wireless networks from the sky using drones and satellites.
AboutAbout the lab
Connecting wirelessly from the sky and space.
The Tran Lab studies wireless communication networks that use locations other than the ground, such as drones (UAVs) and satellites.
The lab works on millimeter-wave networks between drones, networks that use drones as base stations, and methods for allocating radio resources using AI and reinforcement learning.
The lab also studies estimating the positions and sources of radio signals using HAPS, drones, and low Earth orbit satellites.
The lab is run together with the Sakaguchi Lab, and the two labs conduct research jointly.
Key terms
- UAV
- An aircraft that flies without a person on board. Drones are one type.
- HAPS
- An aircraft that stays at high altitude, such as in the stratosphere, and acts like a communication base station.
- Low Earth orbit satellite
- An artificial satellite that orbits at a relatively low altitude above the ground. It can connect areas without communication infrastructure.
- Reinforcement learning
- A machine learning method that learns, through repeated trial and error, the actions that lead to good outcomes.
NewsLab news
A master's student received the Electrical and Electronic Engineering Program FY2025 Outstanding Master's Thesis Award
The lab held a lab tour (open lab)
A student received the Department of Electrical and Electronic Engineering FY2023 Outstanding Bachelor's Student Award
ResearchResearch themes
The lab studies wireless communication systems that use drones (UAVs), ranging from flight path optimization, drone networks, and positioning to combinations with satellites and other airborne platforms. It aims to support communication and positioning at disaster sites, large events, and places with little communication infrastructure.
*Illustrative imageDrone networks and flight paths
The lab studies three-dimensional drone flight paths for collecting data efficiently. It also works on methods for detecting other drones using images and LiDAR and for communicating between drones.
*Illustrative imageLocating radio sources with drones and HAPS
This research estimates the locations of radio emitters using airborne platforms (HAPS) and drones. The lab proposes methods that estimate positions with high accuracy even in non-line-of-sight environments.
*Illustrative imageDrone and satellite systems for disaster preparedness
To support rescue operations in disaster-prone areas, the lab proposes a system that estimates the distribution of people using low Earth orbit satellites. Simulations confirm that it can estimate over a wide area without relying on ground-based infrastructure.
MembersFaculty
The members of the Tran Lab consist of faculty, master's and undergraduate students, and visiting researchers.As of 2025
- Associate ProfessorGia Khanh TranPublications ↗
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: “Constellation satellites in low Earth orbits (artist’s impression, not to scale) (noirlab2022a)” NOIRLab/NSF/AURA/P. Marenfeld / CC BY 4.0 (cropped)
- Drone networks and flight paths: “The lifting-wing multicopter designed by the reliable flight control group of Beihang University” BUAA RFLY Group / CC BY-SA 4.0 (cropped)
- Locating radio sources with drones and HAPS: “Quadcopter camera drone in flight” Josh Sorenson / CC0 (cropped)
- Drone and satellite systems for disaster preparedness: “Constellation satellites in low Earth orbits (artist’s impression, not to scale) (noirlab2022a)” NOIRLab/NSF/AURA/P. Marenfeld / CC BY 4.0 (cropped)
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