This document is an unofficial translation from the official Japanese version.

AY2025 Admission Guide
Department of Mathematical Informatics
Graduate School of Information Science and Technology
The University of Tokyo

Master’s Program
Doctoral Program

Contact
Department Team (Department of Mathematical Informatics),
Academic Affairs Group, Graduate School of Engineering / Information Science and Technology,
The University of Tokyo,
7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, JAPAN.
TEL: +81-3-5841-6889 E-mail: office@office.keisu.t.u-tokyo.ac.jp
Visit
https://www.i.u-tokyo.ac.jp/edu/entra/index_e.shtml
to refer to the admission guide of the Graduate School of Information
Science and Technology and the admission guide of each department.

Note: In addition to this brochure, be sure to refer to the admission guide of the Graduate School ofInformation Science and Technology, the University of Tokyo. Regarding inquiries about the entrance
examinations, e-mail inquiries will be accepted in principle.

Replies will be made from 9 a.m. to 5 p.m.

on weekdays in Japan Standard Time. Make sure that it may take several days to receive the replies.

This document is an unofficial translation from the official Japanese version.

(I) Master’s Program
1. Outline
Selection will be conducted based on the “AY 2025 Admission Guide: Master’s Program, Graduate
School of Information Science and Technology, The University of Tokyo” (posted on https://www.i.utokyo.ac.jp/edu/entra/entra_e.shtml), and on this admission guide of the Department of Mathematical
Informatics. All important items common to the graduate school, including requirements for eligibility
and application procedures, are listed in the above common guide, so be sure to refer to that document.
This admission guide supplements the above common guide with explanations regarding examination
procedures that are specific to the Department of Mathematical Informatics.
Based on the interdisciplinary nature of the Department of Mathematical Informatics, this department
invites applicants from a wide range of fields, both inside and outside the University of Tokyo, with afundamental understanding and knowledge of mathematics, informatics, and physics. Examination
subjects have been selected to ensure that applicants with diverse backgrounds can take examinations
under fair conditions.

2. Declaring preferred faculty advisors, etc.
Declare the following items in the designated fields in the Web application system.
・Preferred faculty advisors: Choose your first to sixth preferences from the pull-down menu in thefield “Your Selection of Lab” on the application system. For the available faculty advisors and theirresearch areas, consult the list in this Admission Guide. If you have any preferred choices in addition
to the first six choices, fill (list) the information in the following Field 1 for Department-SpecificInformation.
・ Field 1 for Department-Specific Information: As mentioned above, fill (list) the additional
information on the preferred faculty advisors, if there are any in addition to the first six preferredchoices.
・Field 2 for Department-Specific Information: Declare which language you hope to use in the oral
examination, Japanese or English.

3. Examination Subjects
3.1．Document screening
Document screening will be conducted based on the submitted documents. Regarding the notificationof the screening results, refer to the admission guide of the Graduate School of Information Scienceand Technology.
Applicants are required to submit essays at the time of application, following “Document Screening
Assignment (for Master’s Program)” on page 10 of this guide.

3.2．General education subjects
We will conduct a mathematics examination. The examination will be conducted only for applicants
who have passed the document screening. Refer to the admission guide of the Graduate School ofInformation Science and Technology for details.

3.3. Foreign language (English)
TOEFL scores will be used to evaluate applicants’ English skills. For details, refer to “Guidelines for
Submission of TOEFL Scores (for AY2025 Entrance Examinations)” which is provided on the1This document is an unofficial translation from the official Japanese version.
webpage of the Graduate School of Information Science and Technology.

3.4. Specialized subjects and oral examination
The examinations will be conducted only for applicants who have passed the document screening andtaken the written examinations of the general education subjects.

1) Written Examination
For examinations on the specialized subjects, applicants shall choose one subject from among thefollowing: “Mathematical Informatics,” “Information Physics and Computing,” “Computer Science,”
and “Information and Communication Engineering.” Please note that dates, times, and locations differ
depending on the subjects.
Specialized subjects

Examination Dates,
Times, and Locations

Scope of questions

Mathematical
Informatics

August 19, 2024
(Monday)
10:00 – 13:00
Faculty ofEngineering Bldg.
No. 6

Applicants will be required to solve three out of fiveproblems related to mathematical methods forsolving problems, including: algebraic methods,
analytic methods, geometric methods, discrete
methods, stochastic methods, statistical methods,
and algorithms, etc.

Information Physics
and Computing

Please refer to the “Admission Guide” of Department of Information Physics
and Computing.

Computer Science

Please refer to the “Admission Guide” of Department of Computer Science.

Information andCommunication
Engineering

Please refer to the “Admission Guide” of Department of Information andCommunication Engineering.

・Applicants will be notified of details for the examination location for “Mathematical Informatics”
by August 14 (Wednesday), 2024.
・For information on the examination locations for “Information Physics and Computing,” “Computer
Science,” and “Information and Communication Engineering,” refer to the “Admission Guide” of eachdepartment.

2) Oral examination
The oral examination will be held online between August 21 (Wednesday) and August 23 (Friday),
2024, in principle. Examinees will be notified of the instructions of the oral examination by earlyAugust.
The oral examination will be conducted only for applicants who have taken the written examinations
for both general education subjects and specialized subjects. Examinees will be notified regarding thedetailed schedule of the oral examination by noon of August 14 (Wednesday), 2024.

4. Important Notes
4.1. Those who are absent from one of the exams (the general education subjects, the written
examination on the specialized subjects, and the oral examination) will be considered to havewithdrawn from the entrance examination.
4.2. During the written examinations, applicants can use only writing instruments (pencils or
mechanical pencils; all must be black), pencil sharpeners, erasers, and a clock or watch (only with2

This document is an unofficial translation from the official Japanese version.
timekeeping function). No other instruments can be used.
4.3. Persons wishing to enter the school in October who have not graduated from university by
September 2024 are required to confirm their eligibility with the Department Team (the Departmentof Mathematical Informatics), Academic Affairs Group, the Graduate School of Engineering /Information Science and Technology, the University of Tokyo.
4.4. For other notes, be sure to carefully read the “Department of Mathematical Informatics
Information for applicants taking the Entrance Examinations Onsite,” which is included on page 8 ofthis Guide.

5. Contact
If you have any questions regarding this admission guide, contact the Department Team indicated on
the cover.

(II) Doctoral Program [Summer and Winter Entrance Examinations]
1. Outline
Selection will be conducted based on the “AY 2025 Admission Guide: Doctoral Program, Graduate
School of Information Science and Technology, The University of Tokyo” (posted on https://www.i.utokyo.ac.jp/edu/entra/index_e.shtml), and on this admission guide of the Department of Mathematical
Informatics. All important items common to the graduate school, including requirements for eligibility
and application procedures, are listed in the above common guide, so be sure to refer to that document.
This admission guide supplements the above common guide with explanations regarding examination
procedures that are specific to the Department of Mathematical Informatics.

2. Contact before the Submission of the Applications
Applicants are required to meet up with their preferred faculty advisor prior to the submission of theapplications.

3. Declaring a preferred faculty advisor, etc.
Declare the following items in the designated fields in the Web application system.
・Preferred faculty advisor: Indicate one in the field “Supervising Professor of your choice” on theapplication system.
・Field 1 for the Department-Specific Information: Declare which language you hope to use in theoral examination, Japanese or English.

4. Documents
Applicants are required to write reports on the following themes, and submit them with the application
documents. The reports should be organized so that their answers to each of the questions ((1), (2),(3)(a)–(e)) are shown to be clear.
Theme:(1) Summarize your past research achievements and research plans for the Doctoral Program in areport in English or Japanese, comprising no more than ten A4-sized pages, including formulas,diagrams, etc. Include a list of your past research achievements at the end of the report. For each3This document is an unofficial translation from the official Japanese version.
achievement, briefly explain the contributions made by you during the execution of the research task.
Applicants may use any format appropriate for this report.
(2) Provide an English summary of the above report of about one A4-sized page.
(3) Provide responses to the following questions regarding the content of the above report in English
or Japanese, comprising no more than two A4-sized pages.
(a) What is the goal of your research?

(b) What are the specific content of this research and the methods used?
(c) What is the current status of this field of research, in Japan and overseas?
(d) What aspects of this research could be considered new in comparison to past researches in thisfield?
(e) How will the results of this research contribute to the field in question?

5. Primary Examinations
5.1. Foreign language (English)
・TOEFL scores will be used to evaluate applicants’ English skills. For details, refer to “Guidelines
for Submission of TOEFL Scores (for AY2025 Entrance Examinations)” which is provided on the
webpage of the Graduate School of Information Science and Technology.
・For applicants who have completed or are expected to complete a Master's Program in the Universityof Tokyo, the submission is waived.

5.2. Written examination
・ Applicants will take an examination on the specialized subject “Mathematical Informatics.”
Applicants will be required to answer essay-type questions that assess specialized academic skills andknowledge.
・In the Summer Entrance Examination, the written examination will be held online on August 20(Tuesday), 2024, in principle. Applicants will be notified of the detailed schedule and the method of
the examination by early August.
・In the Winter Entrance Examination, the written examination will be held online between January
28 (Tuesday) and January 31 (Friday), 2025, in principle. Applicants will be notified of the detailed
schedule and the method of the examination by the middle of January.
・Applicants who have completed or are expected to complete a Master's Program of the Universityof Tokyo may be exempted from the specialized subject written examination. The decision regarding
the exemption will be notified to the applicants around mid-July for the summer entrance examination
and around late December for the winter entrance examination.

5.3. Oral examination
・Applicants will be required to answer questions on the research plan and other aspects of thesubmitted documents. Applicants should prepare presentation slides summarizing the descriptions on
your past research achievements and future research plans for the Doctoral Program in the submitted
documents.
・In the Summer Entrance Examination, the oral examination will be held online between August 21(Wednesday) and August 23 (Friday), 2024, in principle. Applicants will be notified of the detailed
schedule and the method of the examination by early August.

4This document is an unofficial translation from the official Japanese version.
・In the Winter Entrance Examination, the oral examination will be held online between January 29(Wednesday) and January 31 (Friday), 2025, in principle. Applicants will be notified regarding thedetailed schedule and the method of the examination by the middle of January.

6. Secondary Examination
In the case of the Summer Entrance Examination, persons who have passed the Primary Examinations
shall take the Secondary Examination between late January and mid-February, 2025. However, forapplicants who wish to enter the graduate school in October and those who wish to enter in April but
have obtained or are expected to obtain a master's program or a professional degree program bySeptember 30, 2024, the Secondary Examination will be conducted during the period of the Primary
Examinations.
In the case of the Winter Entrance Examination, the Secondary Examination will be conducted during
the period of the Primary Examinations.
As the Secondary Examination, an oral examination will be conducted on the Master's thesis researchor its alternative. Applicants should send their Master's thesis (including those in progress) or its
alternative to the office by e-mail by two weeks before the oral examination date. Applicants will be
notified of the schedule and the method of the oral examination by the middle of January.

7. Contact
If you have any questions regarding this admission guide, please contact the Department Team asindicated on the cover.

(Ⅲ) Doctoral Program - Special Selection for Professionals [Summer
and Winter Entrance Examinations]
1. Outline
Selection will be conducted based on the “AY 2025 Admission Guide: Doctoral Program [Special
Selection for Professionals], Graduate School of Information Science and Technology, The Universityof Tokyo” (posted on https://www.i.u-tokyo.ac.jp/edu/entra/index_e.shtml) and on this admission
guide of the Department of Mathematical Informatics. All important items common to the graduate
school, including requirements for eligibility and application procedures, are listed in the above
common guides, so please be sure to refer to those documents. This admission guide supplements theabove common guides with explanations regarding examination procedures that are specific to the
Department of Mathematical Informatics.

2. Contact before the Submission of the Applications
Applicants are required to contact meet up with their preferred faculty advisor prior to the submissionof the applications.

3. Declaring a preferred faculty advisor, etc.
Declare the following items in the designated fields in the WEB Application System.
・Preferred faculty advisor: Indicate one in the field “Supervising Professor of your choice” on the5This document is an unofficial translation from the official Japanese version.
application system.
・Field 1 for the Department-Specific Information: Declare which language you hope to use in theoral examination, Japanese or English.

4. Documents
Applicants are required to prepare for the following five items regarding applicants' research and work
achievements in a field related to Mathematical Informatics.
(1) List of achievements
Provide a list of academic papers, patents, products, and other examples of the applicant's
achievements. In the case of collaborative achievements involving several persons, clearly indicate
the part and the weight of the applicant's contributions.
(2) Outline of main achievements
Select three or fewer main achievements from the above list, and provide an outline of theseachievements.
(3) Research plan
Provide a detailed description of the applicant's plan for research to be conducted in the Doctoral
Program.
(4) Materials related to main achievements
These materials may include reprints (or copies) of academic papers, detailed descriptions of patents,
or product pamphlets.
(5) Recommendation letters
Select two individuals with a clear understanding of the applicant's achievements, and ask them toprovide separate evaluations of those achievements. Use the Word file “Recommendation letters(Doctoral Program [Special Selection for Professionals])” on the department webpage, and submit thefile following the instructions on the department webpage and on the webpage of the Graduate Schoolof Information Science and Technology.
Note: Items (2) and (3) should be combined in about ten A4-sized pages.

5. Selection Methods
A few students will be selected based on research achievements and work achievements in fields
related to Mathematical Informatics, and also on the examinations below. (The primary and secondary
examinations mentioned in Doctoral Program [Special Selection for Professionals] will be conductedconcurrently during the following examination process.)

5.1. Foreign language (English)
・TOEFL scores will be used to evaluate applicants’ English skills. For details, refer to “Guidelines
for Submission of TOEFL Scores (for AY2025 Entrance Examinations)” which is provided on the
webpage of the Graduate School of Information Science and Technology.
・For applicants who have completed a Master's Program in the University of Tokyo, the submission
is waived.

5.2. Written examination
・ Applicants will take an examination on the specialized subject “Mathematical Informatics.”
Applicants will be required to answer essay-type questions that assess specialized academic skills andknowledge.

6This document is an unofficial translation from the official Japanese version.
・ In the Summer Entrance Examination, the written examination will be held online on August 20(Tuesday), 2024, in principle. Applicants will be notified of the detailed schedule and the method of
the examination by early August.
・ In the Winter Entrance Examination, the written examination will be held online between January
28 (Tuesday) and January 31 (Friday), 2025, in principle. Applicants will be notified of the detailed
schedule and the method of the examination.
・ Applicants who have completed a Master's Program of the University of Tokyo may be exemptedfrom the specialized subject written examination. The decision regarding the exemption will be
notified to the applicants around mid-July for the summer entrance examination and around late
December for the winter entrance examination.

5.3. Oral examination
・Applicants will be required to answer questions on the research plan and other aspects of thesubmitted documents. Applicants should prepare presentation slides summarizing the descriptions on
your past research achievements and future research plans for the Doctoral Program in the submitted
documents.
・In the Summer Entrance Examination, the oral examination will be held online between August 21(Wednesday) and August 23 (Friday), 2024, in principle. Applicants will be notified of the detailed
schedule and the method of the examination by early August.
・In the Winter Entrance Examination, the oral examination will be held online between January 29(Wednesday) and January 31 (Friday), 2025, in principle. Applicants will be notified regarding thedetailed schedule and the method of the examination.
・Applicants should send their Master's theses (or equivalent materials) to the office by e-mail by
two weeks before the oral examination date.

6. Contact
If you have any questions regarding this admission guide, please contact the Department Team asindicated on the cover.

7

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Department of Mathematical Informatics
Information for applicants taking Entrance Examinations Onsite(The written examinations of the specialized subjects “Mathematical Informatics”
for Master’s Program)
For applicants who take specialized subjects of other departments, see the relevant admission guideissued by the relevant department.

1. Examination dates and times
Please refer to the main body of this Guide.

2. Examination locations
University of Tokyo (7-3-1 Hongo, Bunkyo-ku, Tokyo)
Refer to the map on page 9.
By subway:
Marunouchi Line / Oedo Line: Get off at Hongo Sanchome Station
Chiyoda Line: Get off at Nezu Station
Namboku Line: Get off at Todai Mae Station
Mita Line: Get off at Kasuga Station
By Bus:Take Toei Bus No. 43 or 51 to “Todai Seimon Mae” (Main Gate of The University of Tokyo),or Toei School Bus No. 1 or 7 to “Todai Konai” (Campus of The University of Tokyo).
Examinees should be in the designated examination room no later than 15 minutes before the start ofthe examination. In case of being late, the examinee should immediately contact an examination
administrator.

3. What to bring(1) Paper-based Examination Admission Card (printed on A4-sized paper)(2) Be sure to bring black pencils (or mechanical pencil), erasers, pencil sharpeners (desktop types are
not acceptable) if you are using black pencils, and a clock or watch (only with time-keeping function).
Caution: During the examination time, all mobile phones must be turned off and must not be worn.

4. Items to keep in mind during examinations(1) Examinees will not be allowed to leave the examination room after the start of the examination,even after finishing writing answers or even when you abandon the examination.
(2) Examinees will not be allowed, in principle, to leave their seats even temporarily. Call the proctor
in case feeling sick or needing to go to the bathroom during the examination time.
(3) Examination admission cards must be placed on the desks throughout the examination time.
(4) Write your examinee’s number on all answer sheets. It is not allowed to write your name. Write
your answer on each designated sheet. If there is not enough space, you may write on the back of theanswer sheet.
(5) Examinees are not allowed to take answer sheets and question booklets out of the examination
room.

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Department of Mathematical Informatics
Map of Examination Location

By subway:
Marunouchi Line / Oedo Line: Get off at Hongo Sanchome Station
Chiyoda Line: Get off at Nezu Station
Namboku Line: Get off at Todai Mae Station
Mita Line: Get off at Kasuga StationBus:
Take Toei Bus No. 43 or 51 to “Todai Seimon Mae” (Main Gate of The
University of Tokyo), or Toei School Bus No. 1 or 7 to “Todai Konai” (Campusof The University of Tokyo).

9This document is an unofficial translation from the official Japanese version.

[Document Screening Assignment (for Master’s Program)]
Submit essays on the following subjects at the time of application. Prepare your answers
by using the template file found on the department webpage and write the answers within
2 pages. References can be listed beyond the 2-page limit, starting from page 3 onwards.
Subject. Explain your motivation for applying to our department, after presenting one
research topic in which you are interested. Regarding the research topic, include theresearch background of the topic and its recent progress, and freely describe the reasonsfor your interest, the kind of research results you hope to obtain, and your own ideas about
the social value expected from the research results. (2 pages)

10This document is an unofficial translation from the official Japanese version.
Department of Mathematical Informatics
Graduate School of Information Science and Technology, The University of Tokyo
https://www.i.u-tokyo.ac.jp/edu/course/mi/members_e.shtml
Tsuyoshi Takagi(Professor)
Kunihiko Sadakane(Professor)

Takayasu Matsuo(Professor)

Fumiyasu Komaki(Professor)
Akiko Takeda(Professor)

Kenji Yamanishi(Professor)

Taiji Suzuki(Professor)

Satoru Iwata(Professor)(1) Mathematical Cryptography: Theoretical analysis and efficient
implementation of post-quantum cryptography in the era of quantum
computers. (2) Applied Cryptography: Security evaluation of Bitcoin
system or cryptographic protocols such as SSL/TLS.
(1) Algorithms and data structures: theory of algorithms for processing
discrete data such as graphs and strings, theory of stream, external, andGPU algorithms, and theory of succinct data structures. (2)Applications of those theories to efficient big data processing such as
genome information, geographic information, and secure computation.
(1) Numerical algorithm: differential equation, function
approximation, numerical linear algebra, tensor. (2) Theoreticalnumerical analysis: geometric numerical integration, discrete
functional analysis, asymptotic behaviors of algorithms.
(3) Applications: physical simulation, applications to optimization anddeep learning.
(1) Theoretical statistics: inference theory, prediction theory, Bayesian
theory, experimental design, model selection. (2) Statistical modeling:
Bayesian networks, graphical models, point processes. (3) Informationgeometry: differential geometry of statistical inference.
(1) Continuous optimization: development of efficient algorithms forsolving nonconvex optimization problems, robust optimization
problems, etc. (2) Applications of optimization methods tooptimization problems in machine learning, energy system.
(3) Operations Research.
(1) Theory of machine learning: an information-theoretic or statistical
approach to machine learning. (2) Data science: anomaly detection,change detection, network mining, latent dynamics. (3) Big data
analysis: security, marketing, traffic risk analysis, medical data
analysis, economic data analysis. (4) Symptomatics—Science of early
warning signals of anomalies.
(1) Machine learning, statistical learning theory: theory ofgeneralization error, deep learning, kernel method, regularization,
stochastic optimization. (2) Mathematical statistics, statisticalmodeling: high dimensional sparse estimation, Bayesian statistics,
information geometry.
(1) Discrete optimization: Design of efficient algorithms for
optimization problems related to matroids and submodular functions.
(2) Discrete mathematical engineering: Discrete optimization
techniques in numerical linear algebra and dynamical systems
analysis. (3) Global optimization: Design of efficient algorithms forsolving nonconvex optimization problems with geometricbackgrounds. (4) Chemo-informatics: Information processing methods
for assisting research in chemistry.

11This document is an unofficial translation from the official Japanese version.
Atsushi Takayasu(Associate Professor)

Shinji Ito(Associate Professor)

Ken’ichiro Tanaka(Associate Professor)

Takeru Matsuda(Associate Professor)
Kazuhiro Sato
(Associate Professor)

Shin-ichi Tanigawa(Associate Professor)
Ayumi Igarashi(Associate Professor)
Takashi Kohno(Professor)[IIS]
Tetsuya J. Kobayashi(Professor)[IIS](1) Design of Cryptographic Protocols: Designs of (post-quantum)
public key encryption schemes, advanced public key encryption
schemes, and their provable security. (2) Mathematical Analysis of
Cryptography: Shortest vector problem, lattice basis reduction
algorithms, analysis of cryptographic schemes with quantum
algorithms and lattice basis reduction algorithms.
(1) Machine learning, computational learning theory: online learning,bandit algorithms, reinforcement learning, Bayesian optimization,
sequential decision-making, stochastic optimization. (2) Discrete
optimization and its applications: optimization problems related tosubmodular functions, price optimization, recommendation systems,
dynamic pricing.
(1) Theoretical numerical analysis: numerical integration, function
approximation, design and/or mathematical analysis of approximation
formulas. (2) Numerical algorithm: accurate computation by variabletransformation, fast and accurate computation of integral transforms
and/or solutions of functional equations. (3) Design of approximation
formulas by mathematical optimization: sampling by gradient methods
in function spaces, acceleration of gradient methods. (4) Numericalmethods in finance: option pricing, risk evaluation.
(1) Theoretical statistics: inference theory, Bayesian statistics,
multivariate analysis, information geometry, etc. (2) Applied statistics:
spatio-temporal modeling, hierarchical modeling, computational
statistics, etc. (3) Brain data analysis.
(1) Applications of optimization theory to control systems theory:
Convex optimization, Nonconvex optimization, Riemannian
optimization. (2) Applications of control systems theory to deeplearning: state space model, model reduction. (3) Data-driven
modeling for controlling systems: machine learning, optimization,
numerical analysis.
(1) Discrete and computational geometry: distance geometry, rigidity
theory, graph embeddings. (2) Discrete mathematics: matroid theory,graph theory. (3) Applications of discrete optimization techniques:graph algorithms, analysis of discrete engineering structures.
(1) Mechanism design. (2) Fair and efficient resource allocation and its
applications. (3) Voting theory and its applications to participatory
budgeting. (4) Cooperative game theory and its applications to social
network analysis.
(1) Neuromorphic system: designing and construction of artificial
system that mimics information processing scheme in nerve systemand brain. (2) Modeling nerve system and brain: nonlinear model andbifurcation of neuronal cell, learning rule.
(1) Theory for biological systems: dynamical system, stochastic
process, large deviation, thermodynamics, chemical reaction network.
(2) Theory for biological information processing systems: searching,
information coding, recognition, control, learning, and evolution. (3)Systems biology: bioinformatics, data analysis, and modeling of
biological phenomena.

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Yoshihiro Kanno(Professor)[MI]

Tomonari Sei(Professor)[MI]
Teppei Ogihara(Associate Professor)[MI]

Ryohei Hisano(Lecturer)[MI]

Yasushi Kawase(Project Associate
Professor)(1) Continuous optimization and applied mechanics: convex
optimization, complementarity, duality and their applications to
structural optimization, contact mechanics, plasticity, etc. (2) Robust
optimization and its applications: Optimization with uncertain data,robust optimization of structures, robustness evaluation of uncertain
systems, etc.
(1) Theoretical statistics: inference theory, directional statistics,
algebraic statistics, information geometry, Bayesian statistics, copula
theory. (2) Construction methods of general indices. (3) Statisticalmodeling with optimal transport map.
(1) Stochastic calculus and mathematical statistics: statistical analysisof stochastic processes (diffusion processes, jump diffusion processes,
point processes, Malliavin calculus, maximum-likelihood-type
estimation, asymptotic efficiency). (2) Statistical analysis of financial
data: statistical inference of stock volatility and covariation, highfrequency financial data analysis, minimum variance portfolio.
(1) Learning on networks (temporal, heterogeneous information,knowledge graph). (2) Empirical research on social and economic
networks (transaction patterns, detecting malicious nodes, systemicrisk). (3) Reliability of information (news, financial reports). (4) Big
data analysis (data science, complexity science): financial markets,
block chain, marketing.
(1) Discrete optimization: Design of algorithms for online
optimization problems, robust optimization problems, etc.
(2) Algorithmic game theory: Design and analysis of mechanisms instrategic behavior.

[RIISE]
Hiromichi Nagao(Associate Professor)[ERI]

Hiroshi Kori
(Professor)[Frontier Science]
Yuki Izumida(Lecturer)[Frontier Science](1) Utilization of big data related to earthquakes: automatic detectionsof earthquakes based on machine learning, algorithm for hypocenter
determinations, algorithm for earthquake and tsunami early warning.
(2) Data assimilation: integration of large-scale numerical simulations
and massive observation data, sequential Bayesian filters, fourdimensional variation method (fast automatic differentiation method),
optimization of observational/experimental design, programming onparallel supercomputers.
(1) Nonlinear physics: nonlinear phenomena, synchronization,
oscillations, complex systems, pattern formation, dynamical systems,
stochastic processes, complex networks. (2) Theoretical biology:
modeling of biological phenomena, biological oscillations,
neuroscience, collaboration with experimentalists.
(1) Nonequilibrium physics: nonequilibrium thermodynamics andstatistical mechanics, stochastic thermodynamics, nonequilibrium
theory of life phenomena, fusion study of nonlinear dynamics andthermodynamics (dynamical modeling of engines, energy harvesting
technologies). (2) Nonlinear physics: coupled oscillators,
synchronization phenomena, bifurcation analysis, noise and stochastic
resonance phenomena, complex systems, etc.

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Kengo Nakajima(Professor)[ITC]

Kantaro Fujiwara(Project Associate
Professor)[IRCN]Taro Toyoizumi(Professor)[RIKEN CBS]L. Ian Schmitt(Associate Professor)[RIKEN CBS]

(1) Parallel Numerical Algorithms: Parallel Linear Solvers (Iterative
Methods, Preconditioning), Multigrid Methods. (2) High-Performance
Computing (HPC): Parallel Programming Models, Problem Solving
Environment (PSE). (3) Scientific Computing: Computational
Mechanics, Finite Element Methods (FEM). (4) Large-Scale Data
Processing: Adaptive Mesh Refinement (AMR), Visualization.
(1) Computational neuroscience: mathematical modeling of single
neuron, neural network modeling, learning, and adaptation. (2) Data
analysis in neural systems: theory for neural spike train analysis and its
application, prediction, brain network analysis. (3) Biologicalinformation processing: pancreatic beta cell modeling, modeling fordiabetes.
(1) Computational neuroscience: Neural coding, Bayes theorem,
Chaotic neural networks, Mean-field theory. (2) Learning theorem of
the brain: Synaptic plasticity, Associative learning, Informationoptimization, Signal processing, Critical period. (3) Neural data
analysis: Delay embedding theorem, Modelingbrain/body/environment interaction.
(1) Analysis of Neural Dynamics and Behavior: neural spike isolation,state space modeling of neural activity, effective network connectivity
estimation, behavioral psychophysics. (2) Biological Neural Network
Computations: neural basis of short-term memory, attention, andprobabilistic inference processes, multi-scale interactions of brain
systems. (3) Neural recording and modulation: closed-loop
electrophysiological/optogenetic technology development.

[IIS] means members belonging to the Institute of Industrial Science. [MI] means members
belonging to the Mathematics and Informatics Center. [RIISE] means members belonging to the
Research Institute for an Inclusive Society through Engineering. [ERI] means members belonging to
the Earthquake Research Institute. [Frontier Science] means members belonging to the Graduate
School of Frontier Sciences. [ITC] means members belonging to the Information Technology Center.
[IRCN] means faculty members belonging to the International Research Center for
Neurointelligence. [RIKEN CBS] means faculty members belonging to the RIKEN Center for Brain
Science. For locations of offices of the faculty members, refer to their webpages.

14This document is an unofficial translation from the official Japanese version.

Department-specific Conditions on Submitted Documents
For other conditions on submitted documents common to all the departments, check
the Admission Guide of the Graduate School.
List of Department-Specific Documents
Summer Entrance Examination
Documents to be Submitted

Master's
ProgramDocument Screening Essays（Master’s Program）

Doctoral
Program(1)Research achievement & plans(written in Japanese or English, no
more than 10 A4-sized pages)(2)English summary of (1) (1 A4sized page)(3)Responses to questions (a)-(e）regarding (1)（written in Japanese or English,
no more than 2 A4-sized pages）

Doctoral
Program<Special
Selection forProfessionals>(1)List of achievements(2)Outline of main achievements(3)Research plan
(4)Materials related to mainachievements(5)Recommendation letters（from2 persons, in the specified form)*(2)(3) should be combined on
about 10 A4-sized pages.

Winter Entrance Examination

Who toSubmitDocuments to be Submitted

Who toSubmitAll
Applicants(1)Research achievement & plans(written in Japanese or English, no
more than 10 A4-sized pages)(2)English summary of (1) (1 A4sized page)(3)Responses to questions (a)-(e）regarding (1)（written in Japanese or English, no
more than 2 A4-sized pages）

All
ApplicantsAll
Applicants(1)List of achievements(2)Outline of main achievements(3)Research plan
(4)Materials related to mainachievements(5)Recommendation letters（from 2
persons, in the specified form)*(2)(3) should be combined on about
10 A4-sized pages.

All
ApplicantsAll
Applicants

Department-Specific Conditions on TOEFL Scores
Summer Entrance Examination

Winter Entrance Examination

Master's Program

All applicants must submit.

Doctoral Program

All applicants must submit, except those who havecompleted (or are expected to complete) a Master's
program at the University of Tokyo.

All applicants must submit, except
those who have completed (or are
expected to complete) a Master's
program at the University of Tokyo.

Doctoral Program<Special Selection
for Professionals>

All applicants must submit, except those who havecompleted a Master's program at the University ofTokyo.

All applicants must submit, except
those who have completed a Master's
program at the University of Tokyo.

15