Labs in The University of Electro-Communications, School of Informatics and Engineering, Class I (Informatics)

0 student voices

The lab analyzes automobile traffic and explores collaboration between humans and machines.

The Nagahama Lab studies the analysis of automobile traffic, as well as autonomous driving and driver-assistance technology. It focuses on the "diversity of components": the components that give rise to social waves (such as traffic jam waves) are not all the same. The lab aims for machines and humans to communicate appropriately and work together, controlling social waves in ways that humans alone cannot. Traffic in emerging countries, where various vehicles run on roads without lanes, is also a subject of its research.

#Mixed traffic #Autonomous driving #Human-machine collaboration

0 student voices

The lab builds new education and learning environments using information systems and AI.

The Takagi Lab identifies problems in educational and learning settings and researches new learning methods and information systems to solve them. It also works on designing and building new education and learning environments that use technologies such as AI and IoT. Student research topics include supporting question-creation learning with generative AI and systems that help learners reflect on their learning. Research topics are decided with students' wishes as the first priority.

#Question-posing learning #Generative AI #Self-regulated learning

0 student voices

The lab does data science research, including recommender systems, to find useful insights from data.

The Okamoto Lab studies how to discover useful insights from data and put them to use. Combining statistics, computer science, machine learning, and computational intelligence with real-world domain knowledge, the lab researches and develops techniques and applications for collecting and analyzing behavior logs such as purchase histories and access logs. The lab is particularly interested in collaborative filtering, an approach to information recommendation, and in building predictive models for value estimation. Undergraduate students are assigned to the lab after going through the Class I graduation research lab assignment (second semester of third year).

#Recommender systems #Machine learning #Computational intelligence

0 student voices

The lab does machine learning research on learning from imperfect real-world data.

The Kohjima Lab studies machine learning that can learn from real-world data that is insufficient in both quantity and quality. The lab aims to expand the areas where machine learning can be effective and to improve the performance of AI systems. This is an NTT collaborative lab. The faculty member belongs to Nippon Telegraph and Telephone Corporation and conducts research in cooperation with Professor Minami. For students who wish to take part, the lab would like to create opportunities to experience corporate research activities, such as internships at NTT laboratories.

#Machine learning #Data analysis #Incomplete data

0 student voices

A lab that integrates machine learning with knowledge representation and reasoning to build trustworthy AI.

The Inoue Lab works to build explainable, robust AI by integrating machine learning and knowledge representation and reasoning, which have long been studied separately in AI research. Going forward, the lab plans to also use the commonsense knowledge of large language models (LLMs) and apply it to advanced intellectual tasks. The research is carried out at the National Institute of Informatics. Students in the lab are given a seat at the National Institute of Informatics as collaborative graduate students, and can use the institute's computing environment and the generative AI models it develops. Students can join this lab from the graduate level.

#Trustworthy AI #Neuro-symbolic AI #Knowledge representation and reasoning

0 student voices

A lab that uses machine learning to analyze data on human activity and understand people.

The Orihara Lab, a Kioxia collaborative lab, studies the analysis of the many kinds of data generated by human activity. Human behavior in cyberspace is increasingly recorded as data, and analyzing it may reveal how people make decisions and what preferences they hold unconsciously. The lab develops machine learning and natural language processing techniques as analytical tools, aiming to understand people more deeply through their access to cyberspace. Students propose research topics on their own initiative and decide on them with reference to the faculty's advice.

#Machine learning #Natural language processing #Cyberspace

0 student voices

斉藤　嘉彦 研究室 (introduction coming soon)

Astronomy, telescope optical systems, atmospheric turbulence compensation techniques

0 student voices

An AIST-collaborative lab that structures the meaning of data using knowledge graphs.

The Egami Lab studies technologies that extract meaning and context from large amounts of data and organize it as knowledge. Centered on knowledge graphs, which represent relationships between data as graphs, and on Linked Data, their web standard, the lab also combines machine learning and natural language processing. Its goal is to create a cyberspace in which all kinds of data are structured as knowledge, and to advance today's web and AI and apply them to solving real-world problems. Collaborative Associate Professor Egami is affiliated with the National Institute of Advanced Industrial Science and Technology (AIST), and at the University of Electro-Communications the lab collaborates with the Osuga-Tahara-Sei Lab.

#Knowledge graphs #Semantic Web #Ontologies

0 student voices

A lab that supports software reliability with AI and formal methods.

The Ishikawa Lab studies technologies for making software trustworthy, and the relationship between AI and software engineering. With the vision of "smart systems and smart dependability assurance," the lab operates as a research group that spans multiple organizations. Prof. Ishikawa belongs to the National Institute of Informatics (NII), and the lab also accepts graduate students from SOKENDAI (The Graduate University for Advanced Studies) and The University of Electro-Communications. Most of the students accepted at The University of Electro-Communications are working professionals in the doctoral program.

#Software engineering #Formal methods #AI engineering

0 student voices

A lab that aims to build AI that understands the background and meaning of human activities by integrating data and knowledge.

The Fukuda Lab aims to develop AI technologies that understand the background and meaning of human activities by integrating data-driven AI and knowledge-driven AI. Toward AI that can also support daily life, the lab links knowledge about human actions, intentions, safety, and more with video and natural language information, and builds it into AI reasoning and recognition. Research is carried out at the Artificial Intelligence Research Center (Odaiba) of the National Institute of Advanced Industrial Science and Technology (AIST). Students assigned to the lab can, as needed, work as technical trainees and use AIST's large-scale AI computing resources, such as ABCI, for their research. Students can join this lab starting at the graduate school level.

#Knowledge graphs #Large language models #Dialogue systems