Labs in University of Tsukuba, Graduate School of Science and Technology, Degree Programs in Systems and Information Engineering

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A lab that uses corpora and natural language processing to study hype in medical research papers.

The Corpus Linguistics Lab studies promotional language (hype) used in writing about medical and health research. Using corpora, which are large collections of texts, and natural language processing methods, the lab tracks how the use of hype changes over time. The lab also builds resources such as annotated data and word lists, and works on developing tools that help communicate science more objectively. The lab's faculty member is a researcher in applied linguistics, and also teaches English courses on technical writing and academic presentations for graduate students in Systems and Information Engineering.

#Corpus linguistics #Hyperbole #Natural language processing

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A lab that researches sensing at natural disaster sites and automated infrastructure diagnosis.

Fujii Lab researches sensing technology for natural disaster sites and automated diagnostic technology for infrastructure maintenance. It also lists robot vision and multisensor fusion as research areas. Associate Professor Hiromitsu Fujii joined the University of Tsukuba in October 2025, after serving at Chiba Institute of Technology.

#Field robotics #Robot vision #Multi-sensor fusion

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A lab that explores software engineering and its education from an intercultural perspective.

Assistant Professor Vasilache's research areas are software engineering, software development processes, and global software engineering. Assistant Professor Vasilache is also interested in engineering education and intercultural communication. Courses taught include Principles of Software Engineering and Computer Ethics, and a lab seminar titled "SNS & Software Engineering" is also listed. The list of publications includes papers on how students learn in software engineering classes with multicultural student groups.

#Software engineering #Global software engineering #Engineering education

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A computer vision lab that studies how to make computers understand images and video.

The Human-Centered Vision Lab studies computer vision and image recognition and understanding. Areas of interest listed include image recognition and understanding, video recognition, pattern recognition, machine learning, and 3D image acquisition and processing. As a cooperative graduate school program with the University of Tsukuba, the lab accepts master's and doctoral students, who can earn a University of Tsukuba degree while studying in the advanced research environment of AIST (the National Institute of Advanced Industrial Science and Technology). On the lab's website, it is introduced under the name "Satoh Lab."

#Computer vision #Image recognition and understanding #3D image acquisition and processing

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A lab that studies statistical pattern recognition, machine learning, and image recognition.

The Kobayashi Lab studies statistical pattern recognition and machine learning. The listed research topics are deep learning, feature extraction and representation, image recognition, video recognition, and analysis of multidimensional sensor data. Prof. Kobayashi is a researcher at AIST (the National Institute of Advanced Industrial Science and Technology) and a cooperative graduate school faculty member at the University of Tsukuba, qualified to serve as a student's academic supervisor.

#Statistical pattern recognition #Deep learning #Image recognition

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The lab studies pattern recognition and machine learning, including image and video classification.

Lincon Souza's research areas are pattern recognition and machine learning. The faculty list also names feature representation and analysis, image and video classification, deep learning, and multidimensional sensor signal processing as research areas. In the faculty list of the Computer Science Degree Program, he is listed as affiliated with the National Institute of Advanced Industrial Science and Technology (AIST). He is listed as a faculty member who can supervise graduate students.

#Pattern recognition #Machine learning #Deep learning

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The lab uses large-scale first-principles calculations to explore the properties of nanomaterials.

The lab uses first-principles DFT calculations to study the structure and electronic states of materials. To simulate materials at the nanoscale, which is close to real-world conditions, the lab develops highly efficient and accurate calculation methods based on CONQUEST, a large-scale DFT program developed by the First-Principles Quantum Properties Group at the National Institute for Materials Science (NIMS). The large-scale calculation results are analyzed by combining them with statistical analysis and machine learning. The lab aims to apply these methods to real nanoscale materials, such as metal nanoparticle catalysts.

#Quantum chemistry #First-principles calculations #Large-scale DFT calculations

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建設ロボティクス（山内研） (introduction coming soon)

Field robotics: motion planning and control of construction machinery at construction sites, environment sensing, standardization

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The lab studies parallel distributed storage and large-scale data processing.

Yusuke Tanimura's research areas are parallel distributed storage, large-scale data processing, cloud computing, grid computing, and e-science infrastructure. In the faculty list of the Computer Science Degree Program, he is listed as a computer engineering faculty member and as an affiliated graduate school faculty member from the National Institute of Advanced Industrial Science and Technology (AIST). The same list shows him as a faculty member who can supervise graduate students.

#Parallel distributed storage #Large-scale data processing #Cloud computing