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Faculties at Kyushu University ›

Hiroshi Koide, Professor
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The Information Systems Security Lab conducts research on realizing secure, high-performance information infrastructure, with a focus on cybersecurity. Its main themes include Moving Target Defense (MTD), threat traces for reproducing and analyzing attacks, and dynamic malware analysis. In addition to examining theory, the lab places importance on implementation and evaluation, and also builds practical skills through study sessions, round-robin reading seminars, and team participation in CTFs. On the lab's website, it is introduced under the name "Koide Lab."

Atsushi Shimada, Professor
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The Image and Media Understanding Lab works on research into the analysis and use of learning and educational data, time-series data analysis, and image and media understanding. Through data analysis and AI technology, the lab aims to create new methods that contribute to understanding and supporting people and society. The research page introduces the lab's work by field: learning analytics, time-series forecasting, AI that supports people, and image processing.

Hiroshi Kawasaki, Professor
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The Computer Vision, Graphics, and VR Lab centers on computer vision and computer graphics, conducting research on acquiring and using the shapes and appearance of the real world from images and video. The research introduction page organizes the work into these areas: acquisition, modeling, recognition, and rendering of wide-area spaces; 3D shape acquisition and analysis; medical image processing and sports analysis; texture acquisition, analysis, and synthesis; and the display and use of real-world data and robotics applications. Recent work includes underwater 3D measurement, reconstruction of full-surround shapes using multiple devices, and 3D endoscopes. On the lab's website, it is introduced under the name "Kawasaki Lab."

Shinichi Konomi, Professor
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The Human Data Interaction Lab studies situations where people and data interact, from a data science perspective. In a world overflowing with information and short on attention, the lab explores ways to deliver the information people need, when and where they need it, in a suitable form, to the people who need it. Its projects are numerous, including course recommendation, AI that supports learning, support for students' money management, and support for discussions in VR. The lab's website is written in English, and its name there is "Human Data Interaction Lab."

Chengjiu Yin, Professor
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The AI Education Lab studies systems that support education and learning using ICT and AI. It works on learning analytics, which analyzes educational big data such as learning logs, and on generating learning materials with generative AI. The lab places importance on practice in educational settings and aims to scientifically analyze and solve problems in education and learning.

Ashir Ahmed, Associate Professor
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The Ashir Lab researches and develops digital health to make healthcare easier to access, and to improve outcomes, in regions where healthcare is hard to reach. Through AI, digital twins, lifelong medical records, standardization of electronic health records (EHR), health risk prediction, and more, the lab aims for a data-driven healthcare system in which everyone in the world can receive care. Some research projects are carried out in collaboration with Grameen Communications in Bangladesh. The lab's website introduces it under the name "SocialTech Lab."

Yasutaka Kamei, Professor
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The Software Engineering Lab conducts research on automating the software development process and on software repository mining. The lab covers a wide range of high-profile topics in the software field and actively collaborates with researchers overseas. SE for AI and AI for SE, which deal with the relationship between AI and software engineering, are also among its research topics. On the lab's website, it is introduced under the name "POSL" and is also called the Kamei Lab.

Jianjun Zhao, Professor
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The Intelligent Software Engineering Lab aims to build highly reliable and safe software systems using techniques such as program analysis and verification and software testing. The lab explores ways to deeply understand software defects (bugs) and to guarantee reliability and safety. It also studies methods such as automatic generation of program code and automatic repair of program bugs. On the lab's website, it is introduced under the name "Pangu Research Lab."

Yutaka Arakawa, Professor
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The Humanophilic Systems Lab studies cyber-physical systems that stay close to people. Its core is human activity recognition using sensors (IoT) and machine learning (AI), and its work ranges widely from developing new sensors to implementing applications. One of its themes is recognizing not only outwardly visible states such as behavior and activities, but also inner states such as emotions and stress. Recently, as research that goes beyond activity recognition, the lab has been advancing behavior change support systems that use information technology to change people's behavior for the better.

Tsunenori Mine, Associate Professor
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The Intelligent Information Environment Lab studies how to use machine learning and deep learning to extract meaning and patterns from data, and apply them to information sharing, search, and recommendation. The lab originally studied frameworks for realizing "multi-agent" systems, in which multiple software agents, each acting on behalf of a person, work together cooperatively, along with their applications. Recently, it has worked on analyzing learners' reflective writing, analyzing movement data such as that from buses, and recommending products and places. On the lab's website, it is presented under the name "Mine Lab."
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