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254 labs · 19 student voices
Faculties at University of Tsukuba ›

Yuichi Takano, Associate Professor
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The Takano Lab conducts research on mathematical optimization, financial engineering, and machine learning. The lab works on solving problems in financial engineering and machine learning using mathematical optimization methods. The basic flow is to survey prior research, propose new mathematical models or computational methods, and verify their effectiveness through computer experiments. The research requires a certain level of mathematical ability and programming skill, and both are stated as required conditions.

Phung-Duc Tuan, Professor
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The Applied Probability Systems Lab studies real-world service systems using applied probability theory, stochastic processes, and operations research. Because service systems contain uncertain elements, the lab represents them with probabilistic models and analyzes them, then uses that understanding of system behavior to provide guidelines for areas such as design. In addition to probabilistic models of communication systems, data centers, call centers, and logistics services, the lab works on theoretical research that widens the range of probabilistic models that can be analyzed, as well as on numerical solution methods. The lab welcomes students who want to solve real-world problems with mathematics, and those who want to do research that makes use of mathematics.

Masahiro Hachimori, Professor
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The Hachimori Lab studies discrete mathematics and combinatorics. Within discrete mathematics and combinatorics, the faculty member's specialty is topological and geometric combinatorics. The lab sets its research themes broadly across topics in discrete mathematics and combinatorics. Each student chooses their own specific research topic and works on it, formulating the problem themselves.

Ying Miao, Professor
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The Miao Lab studies problems in information security, group testing, and related areas, centered on combinatorics and coding theory. Its research subjects include digital fingerprinting, identifying the positions of nonzero entries in sparse vectors, repairable codes, and frequency-hopping sequences. On the official page of the College of Policy and Planning Sciences, the lab's specialty is described as "information security, group testing, coding theory, and combinatorial design theory." In the University of Tsukuba researcher directory, the research field is listed as basic mathematics and applied mathematics.

Akiko Yoshise, Professor
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The Yoshise Lab studies mathematical optimization and operations research. Its list of research achievements includes titles such as optimization on Riemannian manifolds, conic optimization, and data collaboration analysis. There are also titles that target real-world operations, such as nurse scheduling and dispatch planning for shared taxis. The lab's website is built as the personal page of Professor Akiko Yoshise.

Tianxiang Liu, Associate Professor
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Associate Professor Tianxiang Liu studies algorithms and analysis for nonconvex optimization. Papers by Associate Professor Tianxiang Liu have been published in journals such as Mathematical Programming and Foundations of Computational Mathematics. Currently an Associate Professor at the University of Tsukuba, Liu previously served as an Assistant Professor at Tokyo Institute of Technology.

Sayaka Fujii, Professor
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The Land Use Lab (Prof. Fujii's lab seminar) studies the use of urban planning systems, community development that builds on community-initiated efforts, and the use of local resources in districts such as suburban residential areas and city centers. The lab traces its origins to the Land Use Lab that has existed since the founding of the College of Policy and Planning Sciences, and the Arita Lab and the Kawashima Lab share the same roots. Members visit the field many times, conduct repeated interviews, and carry out surveys and analysis based on fieldwork. Because of building construction, the lab has currently moved from the Humanities and Social Sciences Master's Building to the Project Research Building.

Mamoru Amemiya, Associate Professor
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The Urban Environment and Behavior Lab observes and analyzes human activities that take place in environments of various scales. The lab's goal is to clarify how people's psychology and behavior relate to the environment, and to identify methods for creating and managing better environments. The foundation discipline is urban planning, which also relates to geography, spatial information science, environmental psychology, and criminology. Students in the lab are expected to acquire another area of expertise in addition to urban planning.

Michitaka Umemoto, Associate Professor
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The Urban Disaster Prevention Lab studies events that affect the safety and security of cities and regions, including earthquakes, fires, tsunamis, typhoons, heavy rain, floods and inundation, landslides, and crime. Using mathematical approaches, the lab quantitatively evaluates vulnerability to disasters, evacuation safety, and perception of disaster risk. Rather than stopping at understanding the facts, the lab pursues the question “so what should be done?”, and examines and proposes disaster prevention plans, recovery and reconstruction measures, and support measures for rebuilding the lives of disaster victims. Undergraduate students join the lab through lab assignment for their graduation research in the third year of the Urban Planning major in the College of Policy and Planning Sciences.

Junji Urata, Associate Professor
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The Next-Generation Resilient City Lab conducts research, development, and activities toward forming cities that incorporate next-generation transportation and urban systems and that are resilient to future crises such as disasters. The lab was established in April 2023 by Associate Professor Junji Urata. Using methods such as behavior models, optimal control theory, simulation, and data science, the lab discusses how to form disaster-resilient communities and how to provide mobility support that improves livability for people of all generations. Research topics are decided through discussion after hearing students' wishes, with the lab presenting the topics and approaches it can offer.
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