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Li Lab
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A lab that studies next-generation wireless communications and IoT using AI and quantum technologies.
AboutAbout the lab
Combining AI, quantum, and IoT to study next-generation wireless communications.
The Li Lab studies machine learning and optical computing for next-generation wireless communications, as well as applications of AI and quantum computing.
The lab was established on April 1, 2022, and its first cohort of students was assigned to it in fiscal year 2023.
Its main research targets are IoT and Beyond 5G/6G systems based on AI and quantum technologies.
The lab is looking for students who pursue their research on their own initiative.
Key terms
- IoT
- A system in which various devices around us are connected to the internet and exchange information
- Quantum Annealing
- A method that uses the properties of quantum mechanics to search for the best combination among many options
- Beyond 5G/6G
- The next-generation mobile communication systems that follow the fifth generation
NewsLab news
A master's student was selected for the University of Electro-Communications Student Award (Research Activities) and also received the Meguro-kai Award
A demo paper won the Best Demo Paper Award at IEEE CIoT
A paper on energy-efficient resource allocation in LoRa networks was accepted by Sensors
A master's student was selected for the University of Electro-Communications Student Award (Research Activities)
A paper on UAV networks using a coherent Ising machine was accepted by IEEE Access
ResearchResearch themes
The lab works on machine learning and optical computing for next-generation wireless communications, as well as applications of AI and quantum computing. Its research themes include resource allocation in IoT, quantum annealing-inspired optimization, security, and analysis of biosignals.
*Illustrative imageDistributed AI Resource Allocation for IoT
The lab develops lightweight, distributed, learning-based methods for resource allocation in IoT systems.
*Illustrative imageQuantum Annealing-Inspired Optimization
Using methods inspired by quantum annealing, the lab studies ultrafast solutions to optimization problems that arise in fields such as Beyond 5G/6G and agriculture.
*Illustrative imageCybersecurity
The lab works on security problems that arise in fields such as wireless communications, quantum computing, and e-health.
*Illustrative imageBiosignal Analysis
The lab analyzes biological data such as electroencephalograms (EEG), which represent brain activity, and electrocardiograms (ECG), which record the signals of the heart.
MembersFaculty
The members of the Li Lab consist of faculty, master's students, and undergraduate students.As of 2026
- Assistant ProfessorAohan Li
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: “D-Wave-Washington-1000Q” Mwjohnson0 / CC BY-SA 4.0 (cropped)
- Distributed AI Resource Allocation for IoT: “Internet of things signed by the author” Wilgengebroed on Flickr / CC BY 2.0 (cropped)
- Quantum Annealing-Inspired Optimization: “Quantum Annealing” Steve Jurvetson / CC BY 2.0 (cropped)
- Cybersecurity: “Solex 99 30 padlock with keys (DSCF2659)” Trougnouf / CC BY 4.0 (cropped)
- Biosignal Analysis: “12 lead ECG” Peterhcharlton / CC BY 4.0 (cropped)
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