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Kojima Lab
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A lab that combines wireless communications and machine learning to create next-generation communication technologies.
AboutAbout the lab
Wireless communications and machine learning, toward next-generation communications.
The Kojima Lab conducts research that integrates wireless communications, signal processing, information security, and machine learning across disciplines to create next-generation communication technologies.
For unsolved problems in wireless communications and machine learning, the lab devises new theories and methods and verifies them through computer simulations and experiments.
Each student's research topic is decided through discussion so that it is independent of the others, and students carry it out while discussing it one-on-one with the faculty member at weekly meetings.
The lab aims to share its research results with the world through international conferences and international journals.
Key terms
- Signal processing
- Technology for extracting necessary information from signals such as radio waves, or converting them into forms that are easier to handle
- Machine learning
- Technology that lets computers learn rules and patterns from large amounts of data so they can be used for judgment and prediction
- Metasurface
- An artificial surface on which many small elements that act on radio waves are arranged on a panel, making it possible to change how radio waves travel
- Physical layer
- The lowest layer when communication systems are divided into layers; the part that exchanges the signals themselves, using radio waves and similar media
NewsLab news
A student's paper was accepted at the international conference IEEE GLOBECOM 2026 Workshops
The Kojima Lab was established
A master's student received the IEEE VTS Tokyo/Japan Chapter APWCS 2026 Young Researcher's Encouragement Award
A master's student's paper was accepted at the international conference APWCS 2026
ResearchResearch themes
To create next-generation communication technologies, the lab conducts research that integrates wireless communications, signal processing, information security, and machine learning across disciplines. It proposes new theories and methods and verifies their validity and effectiveness through computer simulations and experiments.
*Illustrative imageSemantic Communications
Machine learning is used to extract the semantically important features from the information to be sent, and these are transmitted. The lab aims to reduce unnecessary information and achieve information transmission that is more efficient than conventional communication methods.
*Illustrative imageStacked Metasurfaces
Each element of stacked metasurfaces is used as a neuron and the way radio waves propagate is used as synapses, forming a neural network in physical space. The lab aims for ultra-high-speed, low-power, low-latency information processing.
*Illustrative imagePhysical Layer Security
By exploiting the unique properties of the paths that radio waves travel through, the lab aims to develop new security mechanisms at the physical layer that achieve both information-theoretic security and low computational complexity and low cost.
*Illustrative imageQuantum Machine Learning
The lab incorporates the properties of quantum computing into machine learning, aiming to make advanced information processing that is difficult for conventional computers more efficient and to apply it to next-generation communication and signal processing technologies.
MembersFaculty
The members of the Kojima Lab consist of faculty, master's students, and undergraduate students.As of 2026
- Associate ProfessorShun Kojima
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: “Wireless Control ( )” Jason Knauer / CC BY 3.0 (cropped)
- Semantic Communications: “A manual tracking 13 db heliz antenna designed to receive TIROS picture information from the Automatic Picture Transmission (APT) system (2268-208)” NOAA / Public domain (cropped)
- Stacked Metasurfaces: “Broadband electromagnetic cloak of cylindrical objects” Picassonok / CC BY-SA 4.0 (cropped)
- Physical Layer Security: “Radio Signal Reflection & Refraction on a Simple Ionosphere Model (SVS5240 - polar propagation basic sample 1920x1080)” NASA's Scientific Visualization Studio - null / Public domain (cropped)
- Quantum Machine Learning: “Superconducting Quantum Chip with Dispersive Background” OJB Quantum / CC BY 4.0 (cropped)
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- Related lab (Suzuki Lab): “An architectural model of the British Library” Robert-brook / CC0 (cropped)
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