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Hiroshi Ishiguro, Professor (Distinguished Professor)
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The Intelligent Robotics Lab aims to realize intelligent systems that will support the human society of the future, and it researches the creation of humanoid robots that interact richly with people. Building on sensor engineering, robotics, artificial intelligence, and cognitive science, the lab advances research and development of perceptual information infrastructure and intelligent robot information infrastructure. Because developing humanoid robots is closely tied to the fundamental question of "what is a human being?", the lab sets up experimental fields in real-world settings such as street corners and hospitals and conducts social experiments with robots. The lab's website introduces it under the name "Ishiguro Lab."
Daisuke Iwai, Professor
0 student voices
The Augmented Reality Lab researches VR technology, which immerses users in a cyber world created by computers, and AR technology, which brings the flexibility of the cyber world into the physical world. The lab works on projection mapping for comfortable VR and AR, technology that captures an entire real space and reproduces it in 3D, and technology that uses wearable computers to capture human intentions. The lab also puts effort into establishing "material perception science," a new academic field that clarifies how people perceive the material qualities of objects. The lab's website introduces it under the name "Iwai Lab."
Kensuke Harada, Professor
0 student voices
The Robot Manipulation Lab researches how to realize the dexterous movements of human fingers and arms in robots. As the saying "the hand is a second brain" suggests, clarifying the functions of the hand is directly linked to understanding human intelligence. By realizing dexterous human movements through engineering, the lab seeks to understand human intelligence and also researches and develops practical robot systems. The lab's website introduces it under the name "Harada Lab."
Takayuki Kobayashi, Professor
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The Differential Equations Group (Kobayashi Lab) seeks to understand natural and social phenomena through mathematical models such as differential equations, and studies the properties of their solutions using mathematical methods. By reducing phenomena to pure mathematics, the lab also aims to deepen mathematics itself. The lab also uses computer-assisted analysis to study the qualitative and global properties of solutions to differential equations. The lab belongs to the Mathematical Modeling Division of the Mathematical Science Area in the Department of Systems Innovation, Graduate School of Engineering Science.
Michinori Ishiwata, Professor
0 student voices
The Applied Analysis Lab studies mathematical models, which express phenomena seen in nature and society as equations, by analyzing them with mathematical methods. Its subjects are wide-ranging, including chemical reactions, fluid motion, the behavior of quantum-mechanical particles, and the progression of malignant tumors. On the theoretical side, the lab investigates the properties of the partial differential equations obtained as models of phenomena, using methods of modern mathematics such as the calculus of variations, dynamical systems theory, and blow-up analysis. On the applied side, the lab examines the properties of the equations through numerical simulation and compares the results with actual phenomena to verify the validity of the models.
Yoshikazu Terada, Professor
0 student voices
The Statistical Analysis Group (Terada Lab) is grounded in mathematical statistics and conducts research aimed at both a mathematical understanding of modern data analysis methods and their application to real-world problems. The lab emphasizes not only learning how to use data analysis methods, but also understanding why a method is effective and what its limitations are, so that students gain the expertise to use these methods well. The lab was newly launched in April 2026.
Tomoyuki Sugimoto, Professor
0 student voices
The Data Science Research Group develops statistical methods and machine learning methods that derive new knowledge from multivariate data, and studies their mathematical statistics and learning theory. Built on a foundation of mathematical statistics, the lab works on causal inference, machine learning, analysis of medical and health data, survival analysis, meta-analysis, and more. It considers what can be concluded, and how far, when data are incomplete, as with missing data and censoring. On the lab's website, it is introduced under the name "Sugimoto Lab".
Masayuki Uchida, Professor
0 student voices
The Statistical Inference and Decision Group (Uchida Lab) conducts research and education on statistical inference for stochastic process models. Combining mathematical statistics with computer-based theoretical statistics, the lab works to elucidate phenomena described by stochastic process models based on data. Statistical inference for stochastic process models is applied to financial data analysis, actuarial statistics for insurance, statistical seismology, and more. The lab belongs to the Mathematical and Quantitative Finance Chair in the Social Systems Mathematics Area of the Department of Systems Innovation, Graduate School of Engineering Science.
Jun Sekine, Professor
0 student voices
On the website of the Sekine-Fukasawa-Yano Lab, the Stochastic Models in Finance Lab is introduced as the Financial Mathematical Models Research Group (Sekine Lab). The Sekine-Fukasawa-Yano Lab conducts research and education centered on mathematical finance and stochastic analysis. The website also lists research groups in stochastic analysis (Fukasawa Lab) and the theory of stochastic processes (Yano Lab). The lab belongs to the Mathematical Science Course in the Department of Information and Computer Sciences, School of Engineering Science, Osaka University, and to the Social Systems Mathematics Area in the Department of Systems Innovation, Graduate School of Engineering Science.
Masaaki Fukasawa, Professor
0 student voices
The Stochastic Analysis Lab shares a single website under the name Sekine-Fukasawa-Yano Lab, and corresponds to the Fukasawa lab within it. On the website, the Sekine-Fukasawa-Yano Lab is described as conducting research and education centered on mathematical finance and stochastic analysis. The department's introduction lists stochastic integrals, stochastic differential equations, fractional Brownian motion, rough path analysis, stochastic numerical analysis, and decentralized finance as keywords. At the graduate level, the lab belongs to the Division of Mathematical Science for Social Systems, and at the undergraduate level, to the Mathematical Science Course of the Department of Information and Computer Sciences.
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