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Takimoto Lab
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The lab explores the common ground between software and hardware.
AboutAbout the lab
Studying what software and hardware have in common.
The Takimoto Lab studies the common ground between software and hardware in computer science, as well as the areas around it.
As application software keeps growing larger, CPU processing power has hit a plateau, so computer science now calls for more rigorous analysis and new ideas.
Research themes include a common infrastructure for compilers, which translate programming languages into machine code, as well as artificial intelligence and user interfaces that give a tangible sense of operation.
The lab welcomes people who want to help open up a new kind of computer science together.
Key terms
- Compiler infrastructure
- A common compiler foundation whose implementation is highly modular and easy to customize
- Tangible user interface
- A user interface that gives a tangible sense of operation, as if manipulating physical objects
- Code optimization
- Techniques for generating faster or smaller programs during translation into machine code
ResearchResearch themes
Centered on the common ground between software and hardware, the lab studies a range from techniques for translating programs into machine code to artificial intelligence and user interfaces. The lab's website lists many other research themes, including parallelization, high-level synthesis, mobile agents, and VR/AR (the website's content dates from around 2022).
*Illustrative imageCompiler Infrastructure
This theme deals with a common compiler infrastructure whose implementation is highly modular and easy to customize. The lab has collaborated on the COINS project with the Sasa Lab at Tokyo Institute of Technology.
*Illustrative imageSafe and Reliable Artificial Intelligence
Deep learning behaves in a way similar to human intuition, but when it makes a mistake, the reason cannot be understood. The lab aims for safe and reliable AI that can account for its mistaken behavior, by making AI based on logical reasoning capable of processing large amounts of information at high speed.
*Illustrative imageTangible User Interfaces
The lab studies its own tangible user interfaces, which let users operate the desktop with the shadow of a hand, or create programs as if actually solving a puzzle.
*Illustrative imageCode Optimization
This theme deals with techniques that, while a programming language is being translated into machine code, replace computations and remove unnecessary ones in order to generate programs that are faster or smaller.
MembersFaculty
The members of the Takimoto Lab consist of faculty, doctoral, master's, and undergraduate students, and alumni.As of 2021
- ProfessorMunehiro Takimoto
- Assistant ProfessorShohei Taga
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: “Pam” Andreas Müller Fotografie / CC BY 4.0 (cropped)
- Compiler Infrastructure: “Computer motherboard 11” Kurt Kaiser / CC0 (cropped)
- Safe and Reliable Artificial Intelligence: “Unmarked Nissan Rogue - Possible Test Autonomous Vehicle - San Francisco, May 2025 04” 9yz / CC BY 4.0 (cropped)
- Tangible User Interfaces: “Cellulo” Ayberk Özgür / CC BY-SA 4.0 (cropped)
- Code Optimization: “First Stack of Punch Cards ( )” cogdogblog / CC BY 2.0 (cropped)
- Related lab (Accelerated Systems Research Group): “CAMPUS - Military Data Center ( )” Kecko from Eastern Switzerland / CC BY 2.0 (cropped)
- Related lab (原田研究室): “Obstacle avoidance robot car” Anani A. George / CC0 (cropped)
- Related lab (松澤研究室): “An UAV displayed by Vyomik drones at Amaravati Drone summit (02)” iMahesh / CC BY-SA 4.0 (cropped)
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