Labs in University of Tsukuba

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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

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A cooperative graduate school faculty member who studies physical oceanography and coastal disasters.

Professor Shinya Shimokawa belongs to the National Research Institute for Earth Science and Disaster Resilience and lists physical oceanography, coastal disasters, and marine ecosystems as research topics. At the University of Tsukuba, the professor is listed as a cooperative graduate school Professor among the faculty of both the master's and doctoral programs of the Earth Science Degree Program in the Degree Programs in Life and Earth Sciences. The research field column says "Terrestrial Water Cycle Systems."

#Physical oceanography #Coastal disasters #Marine ecosystems

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A cooperative graduate school research field that explores how air pollution moves through models.

The field of Professor Akinori Takami and colleagues studies the mechanisms by which urban air pollution arises and the dynamics of pollutants in the atmosphere. The faculty belong to the National Institute for Environmental Studies, a National Research and Development Agency, and are listed at the University of Tsukuba as cooperative graduate school faculty. The listed research topics include atmospheric chemistry modeling, regional air pollution, and global warming.

#Air pollution #PM2.5 #Atmospheric chemistry modeling

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A lab that unravels how viruses evade immunity and designs antibody therapeutics and vaccines.

The Medical Virology Lab, at the Japan Institute for Health Security (JIHS), studies viral infections prone to antigenic variation, such as COVID-19 and influenza. The lab works to clarify the mechanism of "immune evasion," by which viruses escape the immune system, and conducts research on profiling immunity that is also effective against these infections. By combining immune profiling, structural biology, and computational science, the lab aims to design antibody therapeutics and vaccines. The lab is a cooperative graduate school lab of the Medical Sciences Degree Program in the Degree Programs in Comprehensive Human Sciences at the University of Tsukuba, and supervises graduate students.

#Immune evasion #Antibody therapeutics #Vaccines

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A lab that uses large-scale epidemiological survey data to study how factors in the fetal period and childhood relate to health.

The Environmental Science and Genomic Epidemiology Lab uses data from large-scale epidemiological surveys to study how factors from the fetal period through childhood affect later health. The environmental factors it examines range widely, covering physical, chemical, and biological environments as well as lifestyle, socioeconomic status, and occupation. The lab also conducts analyses that take genome-environment interaction into account, and measures environmental exposure using biological samples. The lab is part of the National Institute for Environmental Studies, and at the University of Tsukuba it is a cooperative graduate school lab of the Degree Programs in Comprehensive Human Sciences, Degree Program in Medical Sciences.

#Epidemiological studies #Environmental factors #Genome

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臨床腫瘍学（国立がん研究センター NCC） (introduction coming soon)

Advanced cancer therapy research: clinical development of new anticancer drugs and immune cell therapies; establishment of personalized treatment through precision medicine using tissue genomic panels and liquid biopsy; numerous joint studies with leading overseas institutions; rapid delivery of advancing cancer care to clinical practice