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Faculties at The University of Osaka ›
Yoshinobu Kawahara, Professor
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The Kawahara Lab studies machine learning, the foundational field that underpins AI technologies spreading rapidly through society and industry. The lab explores new principles, algorithms, and models of machine learning, and applies the results to a wide range of problems in science and engineering. Recently, it has been working on further advancing deep learning, representation learning, and reinforcement learning, among other topics. On the lab's website, it is introduced as the Machine Learning Systems Theory Group.
Yuki Koizumi, Professor
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The Koizumi Lab aims to innovate the Internet and studies networking technologies that combine novelty with practicality. The lab develops technologies for data center networks used to generate large-scale AI models, and for carrying out distributed machine learning securely and quickly. It also works on security-related technologies such as cyberattack detection and anonymous communication, and, to implement these technologies inside the network, puts particular effort into programming ultra-high-speed network hardware. On the lab's website, it is introduced as the Advanced Network Architecture Group, and it became the Koizumi Lab in February 2026.
Shigeto Senoo, Professor
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Senoo Lab tackles problems in biology and medicine, building on bioinformatics and information science. The lab studies methods for analyzing a wide range of life science data, including single-cell omics, spatial omics, microscopy video images of cells, and biosignals such as EEG and ECG. Although the subject matter is biology, the main research methods come from information science, and the lab's website says that limited knowledge of biology is not a problem. Students can also take part in collaborative research with other fields, such as medicine, pharmacy, agriculture, and science.
Shinji Kusumoto, Professor
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Kusumoto Lab studies software engineering. Software engineering is an academic field that deals with various techniques for developing high-quality software at low cost and on schedule, and for maintaining it efficiently. The research areas page lists topics such as software testing, educational technology, automated program repair, code clones, and software estimation.
Fumihiko Ino, Professor
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Ino Lab studies high-performance computing technologies broadly, from basic theory to application software. Its subjects include GPUs, clusters, grid computing, and medical image processing. Through joint and commissioned research with companies and universities, the lab aims to train people who can work on the front lines of software development.
Hideyuki Shimonishi, Professor
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The Shimonishi Lab researches technologies for building digital twins, which are digital copies of the real world, in real time and in any location. The lab also works on estimating radio conditions for next-generation Beyond 5G / 6G communications and on optimizing distributed AI on edge clouds. It covers the technologies involved in digital twins, from recognizing real-world objects, to collecting and generating data, to applications using the metaverse. The lab belongs to the Advanced Network Environment Research Division of the D3 Center at Osaka University, and is a cooperating chair of the Department of Information Networking in the Graduate School of Information Science and Technology.
Yoshiki Higo, Professor
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The Higo Lab researches software engineering, the set of techniques for developing high-quality software at low cost and on schedule, and for maintaining it efficiently. It puts particular emphasis on program analysis, analyzing source code and design documents to extract the information needed to understand and modify software. The lab studies ways to quickly analyze diverse information, such as development history and runtime information of programs, and to support developers' work through development environments. The lab not only publishes its results as papers but also releases them as software that developers can actually use.
Taisuke Izumi, Professor
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The Izumi Lab researches the design and analysis of algorithms for a wide range of computational models, centered on distributed and parallel systems. By building mathematical models of computational targets and analyzing them theoretically, the lab explores the essence of what makes problems difficult and aims to apply it to designing better algorithms. Theoretical computer science, the field the lab works in, emphasizes uncovering the principles of how various problems can be solved computationally, in a form that can be mathematically proved. As a rule, students assigned to the lab research topics based on what interests them.
Yuki Koizumi, Professor
0 student voices
The Advanced Network Architecture Lab aims to innovate the Internet and studies networking technologies that combine novelty with practicality. The lab works on data center networks used to train large-scale AI models, cyberattack detection, and anonymous communication that protects privacy. To implement these technologies inside the network itself, the lab also focuses on programming ultra-high-speed network hardware. As of February 2026, this lab has become the Koizumi Lab.
Yuta Nakashima, Professor
0 student voices
The Nakashima Lab (MIMLab) conducts research to clarify whether artificial intelligence truly understands the meaning of images and video. The lab considers that understanding the meaning of images and video is closely tied to being able to align them with natural language, and it works extensively on Vision and Language research that combines the two. The lab also conducts applied research on images and video that makes use of large language models and similar technologies. The lab's website also introduces it under the name "Composite Intelligence Media Lab".
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