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Simulation Science Lab
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The lab uses machine learning and simulation to predict and control phenomena in areas such as agriculture and traffic.
AboutAbout the lab
Predicting and controlling phenomena with machine learning and simulation
The Simulation Science Lab uses machine learning and computer simulation to research how to predict and control phenomena.
Its main research targets include image recognition in agriculture, easing traffic congestion, and generating robot control programs.
The lab also works on structural optimization using evolutionary computation and on the study of financial and economic systems.
Key terms
- Evolutionary computation
- A computational method that searches for better solutions by imitating biological evolution.
- Generative adversarial network
- A machine learning method in which two AI models are trained by competing against each other. Here it is used to predict pedestrians' future behavior and stock prices.
- Platooning
- A technology that increases traffic capacity by driving multiple vehicles with short distances between them.
ResearchResearch themes
The lab uses machine learning and computer simulation to predict phenomena and to perform control based on those predictions. Targeting areas such as agriculture, traffic, and robotics, it uses methods such as image recognition and evolutionary computation.
*Illustrative imageAgriculture × Information
The lab researches information systems for agriculture that use machine learning and image recognition. It predicts growth conditions and harvest timing from image data, and also works on predicting and controlling the growing environment.
*Illustrative imageMachine learning and simulation
The lab uses machine learning and computer simulation to predict phenomena and to control them appropriately based on those predictions. Examples include identifying individuals from their pedestrian behavior patterns, predicting pedestrians' future behavior with generative adversarial networks, and predicting stock prices and market trends.
*Illustrative imageGenerating robot control programs
Robot applications are in demand in agriculture and in traffic and logistics. The lab researches the use of evolutionary computation to automatically generate behavior programs for robots.
*Illustrative imageTraffic simulation and congestion mitigation
Traffic congestion degrades living environments and causes economic losses. The lab tackles congestion problems using methods such as multi-agent simulation and optimal control theory. It also studies speed control models for vehicles in platooning.
MembersFaculty
The members of the Simulation Science Lab consist of faculty, researchers and administrative assistants, and doctoral, master's, and undergraduate students.As of 2024
- ProfessorEisuke Kita
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: “This visualization shows what Einstein envisioned” Henze, NASA / Public domain (cropped)
- Agriculture × Information: “Greenhouse filled with tomato plants and a bucket on the path” Shixart1985 / CC BY 2.0 (cropped)
- Machine learning and simulation: “139 Server Room 01” Indrajit Das / CC BY-SA 3.0 (cropped)
- Generating robot control programs: “UR16e robot arm” Auledas / CC BY-SA 4.0 (cropped)
- Traffic simulation and congestion mitigation: “Lauterach-Highway A14-traffic jam-01ASD” Asurnipal / CC BY-SA 4.0 (cropped)
- Related lab (Nagamine Lab): “Satellite image of Czech Republic in September 2003” 作者不詳 / Public domain (cropped)
- Related lab (ALIFE-CORE Lab): “A starling murmuration at Prestwick - geograph.org.uk - 5991171” Walter Baxter / CC BY-SA 2.0 (cropped)
- Related lab (Yamanishi Lab): “Benomyl-3D-molecular-model-engraved-render-CAS” MolGod Scientific / CC BY-SA 4.0 (cropped)
- Related lab (Oota Lab): “Protein ARF4 (2) PDB 1z6x” Emw / CC BY-SA 3.0 (cropped)
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