AY2025 Admission Guide

Department of Information Physics and Computing
Graduate School of Information Science and Technology,
The University of Tokyo

Master’s Program
Doctoral Program

Contact [Department Administration Office]7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656
Department administration office (Department of Information Physics andComputing), Graduate School of Engineering / Information Science andTechnology Administrative Group,
The University of Tokyo
office@office.keisu.t.u-tokyo.ac.jp

Visit: https://www.i.u-tokyo.ac.jp/edu/course/ipc/index_e.shtml
Note: This guide should be read together with the graduate school’s admission guide: “AY2024
Admission Guide: {Master's / Doctoral} Program, Graduate School of Information Science andTechnology, The University of Tokyo.” The details of this guide may be changed. In that case, it will
be posted on the Department’s admissions page.
This document is a translation from the official Japanese version. In the case of conflict, the Japaneseversion shall prevail and be conclusive.

This document is a translation from the official Japanese version.

I. Master’s Program
Due to the interdisciplinary nature of the Department of Information Physics and Computing,this department seeks applicants from a wide range of fields, both within and outside The
University of Tokyo, with a fundamental understanding and knowledge of informatics,
mathematics, physics, electrical or mechanical engineering. Written and oral examinations are
given to those who pass the document screening, and a comprehensive assessment is used to
select applicants for admission. Examination subjects have been selected to allow for fairconditions to be met from a variety of departments outside the university. No priority is given to
examinees from within the university.

When applying, choose either the Summer or Winter Entrance Examinations. Please note thatthe application period differs between the Summer and Winter Entrance Examinations. Summer
Entrance Examinations consist of document screening, foreign language, written examinations,and oral examination. Winter Entrance Examinations focus only on document screening, foreign
language and oral examination, and do not include written examinations. Only a limited numberof examinees will be admitted to the Winter Entrance Examinations. For other instructions,please keep checking the websites for examinees carefully.

i) Summer Entrance Examinations
Written and oral examinations are given to those who pass the document screening, and acomprehensive assessment is used to select applicants for admission.
Select up to nine faculty members to whom you wish to be assigned on the web application
system. If there is a faculty member to whom you do not wish to be assigned, enter the numberin the “Field 1 for Department-Specific Information”. The laboratories in this department
conduct research in cooperation with each other, and it is possible for examinees to acquire across-sectional study of systems informatics regardless of which faculty member they are
assigned to.
a) Document Screening
All of the following documents must be submitted. The screening will be conducted based on

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submitted documents. Please refer to the admission guide of the Graduate School for the
notification of acceptance or rejection of the application documents.
Submit a document describing the reasons for applying to the Department of Information
Physics and Computing, with references if necessary, based on what you have learned andexperienced. The document should be written either in Japanese or English. The font size
should be around 11 pt. The document should be on three A4-sized or letter-sized pages.
Figures can be included. Please put your name on every sheet. Since the document is used forthe document screening and evaluation, it should be well-thought out and of appropriate
length and content.

b) Written and Oral Examinations, etc.
All of the following examinations should be taken. Those who are absent from one or moreof the examinations are considered to have abstained from the entrance examination.
1. Foreign language
TOEFL scores will be used. For details, please refer to the "Guidelines for Submission of
TOEFL Scores (for AY2025 Entrance Examinations)."
2. General education subjects
For details, please refer to the Admission Guide of the Graduate School.
3. Specialized subjects
For examinations on specialized subjects, examinees shall choose one subject among thefollowing: “Information Physics and Computing,” “Mathematical Informatics,” “Computer
Science,” and “Information and Communication Engineering.” Please note that dates, times,
and locations differ depending on the subject.

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Examination Dates, Scope of Questions
Times, and Locations

Specialized Subjects
Information
ComputingPhysics

and August 19, 2024
(Monday)
10:00 – 12:00
OnsiteExaminees will be required to select and solve
two among three problems: “signal processing,”“electronic circuits,” and “control.” The total
time for answering the problems is 100
minutes.

Mathematical Informatics

Please refer to the “Admission Guide” for the Department ofMathematical Informatics.

Computer Science

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

Information andCommunication Engineering

Please refer to the “Admission Guide” for the Department of Information
and Communication Engineering.

The examination for the specialized subject "Information Physics and Computing" will beadministered in person.
The log-in information for the “Website for Examinees (Master & Doctor)” will be sent toapplicants who have passed the document screening. Information on precautions andexamination locations will be posted on the website, so please check it frequently. For
information on the examinations for the Department of “Mathematical Informatics,”“Computer Science,” and “Information and Communication Engineering,” please refer to the
Admission Guide for the Department in question.
4. Oral examination
The oral examination will be conducted between 9:00 a.m. and 6:00 p.m. on August 20(Tuesday), 21 (Wednesday), 22 (Thursday), or 23 (Friday), 2024. Detailed schedules will be
posted on the website for examinees during the examination period. The Oral Examination
schedule for examinees who take written exam subjects other than “Information Physics andComputing” will be adjusted to avoid overlapping with examinations of the specialized
subjects.

ii) Winter Entrance Examinations
An oral examination will be given to those who pass the document screening. In principle, theexamination will be held between late January and mid-February 2025, and a few applicants will
be accepted. The details of the date and place of the examination will be posted on the website
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for examinees after the application is received. Select up to nine faculty members to whom you
wish to be assigned on the web application system.
a) Document Screening
See Summer Entrance Examinations.

b) Foreign Language
See Summer Entrance Examinations.

c) Oral Examination
In the oral examination, applicants will be asked about the basics of mathematics (differential
and integral calculus, linear algebra) and the reasons for their application as stated in theirapplication documents.

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II. Doctoral Program
At the time of application, please select either the Summer Entrance Examinations or the WinterEntrance Examinations. Please note that the periods for acceptance of applications differ for thesummer and winter examinations.
Persons wishing to be included in the “Special Selection for Professionals” must refer to the “AY
2025 Admission Guide: Doctoral Program [Special Selection for Professionals] Graduate Schoolof Information Science and Technology, The University of Tokyo”. For other detailed
instructions, please keep checking the websites for examinees carefully.

i) Summer Entrance Examinationsa) Prior Interview
Persons wishing to apply to the Doctoral Program should refer to the “AY2025

Admission

Guide: Doctoral Program, Graduate School of Information Science and Technology,” andmust contact the faculty advisor of your choice for a face-to-face or online interview basedon your past history, research history, research capabilities, and research plans.
The interview must be completed between April 19 (Friday) and May 28 (Tuesday), 2024, for
Summer Entrance Examinations or between October 10 (Thursday) and November 8 (Friday),
2024, for Winter Entrance Examinations. Enter the date of the interview in “Field 1 for
Department-Specific Information” in the web application system. Applicants may not beallowed to take the examinations if they fail to complete this procedure.

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b) Document Screening
All of the following documents must be submitted. An oral examination will be given to those
who pass the document screening. The results of the oral examination will be used to selectthe applicants.
(a) Describe the content and results of past research as well as the significance of the researchin the field in question. The summary should be either in English or Japanese, on no morethan four A4-sized or letter-sized pages.
(b) Provide a specific research plan to be conducted after admission to the Doctoral Programand describe how this research will contribute to the field in question. The summary
should be either in English or Japanese, on no more than two A4-sized or letter-sizedpages.
(c) Provide a list of research achievements on A4-sized or letter-sized pages. Achievements
should be categorized into original articles, review articles, oral presentations, and others.
If there are no research achievements, write “not applicable.”
Since the above documents (a), (b), and (c) will be used as the basis for the Oral Examinations
and subject to scoring, they should be well-thought out and of appropriate length and content.

c) Foreign Language
TOEFL scores will be used for evaluation of English ability. For details, refer to the School
Application Guidelines of Graduate School of Information Science and Technology. Persons
who have completed or are expected to complete The University of Tokyo Graduate School
Master's Program will not be required to submit TOEFL scores.

d) Oral Examinations
The primary examination consisting of Oral Examinations I and II, and the secondary
examination are conducted. Persons who have completed, or are expected to complete a
Master’s Program in The University of Tokyo or persons who have been approved on thebasis of the submitted documents will be exempt from Oral Examination I. Examinees who

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are rejected in Oral Examination I cannot take Oral Examination II. The results of Oral
Examination I will be posted with the schedules of Oral Examination II on the website for
examinees.
(Primary Examinations)Examination Dates andExamination

Examination

LocationsTimes

Subjects

Notes:

The afternoon of August Detailed

Oral

Examinees will be required to

19 (Monday) or theschedules will be

Examination I

answer questions related to themorning of August 20

posted on thefundamentals of Information(Tuesday)website forPhysics and Computing and to

Onlineexaminees at

the applicant’s research field.

10:00 on August
19.
August 21 (Wednesday)

Detailed

Oral

Examinees will be required toOnlineschedules will be

Examination II

answer questions on the results

posted on theof their past research andwebsite forresearch plan submitted

examinees at

beforehand.

17:00 on August20.

The log-in information for the “Website for Examinees (Master & Doctor)” will be sent toapplicants who have passed the document screening.
(Secondary Examinations)
Secondary examinations consist of an oral examination on the master's thesis or research
paper, in addition to the previously submitted past research results and the research plans. A
master's thesis or an alternative research paper must be submitted.
Detailed schedules and locations will be posted on the website for examinees later.

ii) Winter Entrance Examinations
As a general rule, the primary and secondary examinations will be conducted between late
January and mid-February, 2025. Acceptance will be limited to a few examinees. Examination
methods will be in accordance with those used for Summer Entrance Examinations. Detailed
schedules and locations will be posted on the website for examinees after applications have been7

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received.
a) Prior Interview
See Summer Entrance Examinations.

b) Document Screening
See Summer Entrance Examinations.

c) Foreign Language
See Summer Entrance Examinations.

d) Oral Examinations
For the winter entrance examination, the secondary examination will be conductedconcurrently with the Oral Examination II.

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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.
Summer Entrance Examination

Winter Entrance Examination

Documents to be Submitted

Who to Submit

Documents to be Submitted

Who to Submit

Master’s Program

Reason for Application(three A4-sized or letter-sizedpages, either in English or
Japanese)

All ApplicantsReason for Application(three A4-sized or letter-sizedpages, either in English or
Japanese)

All Applicants

Doctoral Program(a) Content and results of past
research (no more than four A4sized or letter-sized pages, either
in English or Japanese)(b) Research Plan for Doctoral
Program (no more than two A4sized or letter-sized pages, either
in English or Japanese)
(c)
List
of
researchachievements (A4-sized or
letter-sized page. If notapplicable, please mention.)

All Applicants(a) Content and results of past
research (no more than four A4sized or letter-sized pages,
either in English or Japanese)(b) Research Plan for Doctoral
Program (no more than two A4sized or letter-sized pages,
either in English or Japanese)
(c)
List
of
researchachievements (A4-sized or
letter-sized page. If notapplicable, please mention.)

All Applicants

Doctoral Program<Special Selection
for Professionals>(a) Content and results of past
research (no more than four A4sized or letter-sized pages, either
in English or Japanese)(b) Research Plan for Doctoral
Program (no more than two A4sized or letter-sized pages, either
in English or Japanese)
(c)
List
of
researchachievements (A4-sized or
letter-sized page. If notapplicable, please mention.)

All Applicants(a) Content and results of past
research (no more than four A4sized or letter-sized pages,
either in English or Japanese)(b) Research Plan for Doctoral
Program (no more than two A4sized or letter-sized pages,
either in English or Japanese)
(c)
List
of
researchachievements (A4-sized or
letter-sized page. If notapplicable, please mention.)

All Applicants

Department-specific Conditions on TOEFL Scores
Summer Entrance Examinations

Winter Entrance Examination

Master’s program

All applicants must submit.

All applicants must submit.

Doctoral Program

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

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

Doctoral Program<Special Selection forProfessionals>

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

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

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Faculty members and laboratories

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Sound Media Informatics Lab. (Saruwatari and Saito Lab.)
http://www.sp.ipc.i.u-tokyo.ac.jp/

Professor
HiroshiSaruwatari1）
Lecturer
Yuki
Saito

This laboratory mainly innovates in new signal processing and information
processing systems, focusing our attention on understanding, processing, andcontrolling sound media (speech, music, etc.). For example, theories on newstatistical modeling and machine-learning-based algorithms are of interest forsolving optimization problems under acoustical generative models and physicalconstraints. Through our research, we extend human hearing systems, create newhuman-machine interface systems, and bring our innovative contribution to music
creation.
(1) Auditory Communication Augmentation via Unsupervised Learning
We realize versatile unsupervised source separation combining statistical estimation
theories and low-rank modeling. Also, we address a new combination of deeplearning and spatial acoustics, which can be applied to semi-supervised source
separation. Thanks to these methods, new human-machine interfaces, auditorycommunication augmentation systems, and user-oriented music information systems
can be developed.
(2) Augmented Speech Communication Based on Machine Learning
We investigate signal processing and machine learning theories for speech synthesis
and conversion for human-human and human-machine communication. We interpretspeech from the perspectives of physics and informatics and deal with accurate
modeling of speech signals and speech information. We also develop speech-based
virtual reality systems by using human-in-the-loop speech modeling that integrate
humans into machine learning.
(3) Sound Media Processing and Its Application to Virtual Reality
We construct a theory of acoustic scene analysis based on multi-channel signal
processing and deep learning. Specifically, we study environmental soundrecognition/synthesis for various acoustic data not limited to human speech. We also
conduct research toward the realization of sound media monitoring and acoustic
virtual reality systems on the basis of these methods.

1) Department of Creative Informatics

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Biomechanical system Lab. (Kawashima and Miyazaki Lab.)
http://www.bmc.ipc.i.u-tokyo.ac.jp/index_e.html

Professor
Kenji
Kawashima
Lecturer
TetsuroMiyazaki

We are dedicated to studying living organisms' advanced measurement and control
systems through a comprehensive approach to developing innovative medical
robots and human-machine interfaces. Our research focuses on leveraging theproperties of soft, compressible, fluid-driven systems, such as their flexibility andnonlinear dynamics, to design intelligent systems.
(1) Image-Based Autonomous Control of Medical Robots: Despite theadvancements in AI-based diagnostic imaging, applying AI to surgical procedures
remains challenging due to the variability and deformation of surgical targets. Our
research aims to minimize patient stress by autonomously conducting surgeries—
like needle insertions, organ removals, and securing hemostasis—leveraging
multimodal learning that combines camera imagery with pressure data frompneumatic robots.
(2) State Estimation and Control Using Reservoir Computing: We are developing amethod for the real-time estimation and control of physical support systems forbody movement. This method relies on the dynamic properties of soft actuators,
such as pneumatic artificial muscles, without the need for body-mounted sensors.
This method utilizes reservoir computing to exploit these actuators' nonlinear anddistributed nature.
(3) Motion Instruction System with Pneumatic Artificial Muscles: Our team istesting a multimodal motion instruction system that utilizes the contraction force ofpneumatic rubber artificial muscles combined with virtual reality feedback. The
system's effectiveness is assessed through electromyography and other biomedical
measurements.
(4) Control of Bending Soft Actuators: Moving beyond simple expansion andcontraction, this project explores the control of soft actuators through external
environmental stimuli, such as heat and lasers, to achieve complex movements likebending. This involves manipulating the elastomers within soft actuators. We
conduct prototype development and evaluati

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Physical Informatics & Inverse Problem Lab. (Nara and Miyazako Lab.)
http://www.inv.ipc.i.u-tokyo.ac.jp/

Professor
Takaaki
Nara
Lecturer
HirokiMiyazako

Inverse problems are ubiquitous in science and engineering. In these problems,
unknown quantities are inversely estimated from indirect measurements throughmathematical reconstruction. Our laboratory develops fundamental theories,
measurement methods, and applied systems for diverse inverse problems.
(1) Direct reconstruction and measurement methods for inverse problems: We
derive the algorithms for inverse source/coefficient/governing-equation
problems that directly express the unknown quantities in terms of datausing mathematical physics such as complex analysis, potential theories,
tensor analysis, and reproducing kernel theories. We also develop sensors
that directly measure the Fourier transform of the physical quantities forinverse problems.
(2) Medical imaging and nondestructive testing: We develop mathematicalmethods for medical imaging, such as neural current estimation based onmagnetoencephalography, epileptic focus identification, and magneticresonance-based imaging of electrical, mechanical, and thermal properties
inside the body. We also develop algorithms and sensors for
nondestructive inspection of infrastructure.
(3) Disaster prevention: We develop a system to localize victims buried inrubble, landslides, and avalanches. In this system, a rescuer generates thesound and/or magnetic fields, and then victims’ smartphones measurethem, compute their locations, and transmit them to the rescuer.
(4) Predictive design of biorobots based on biological cells and molecules:
Biorobots built from biological cells and molecules have many possible
applications in regenerative medicine, drug discovery, biosensing, and soon. To systematically design such biorobots without many experiments,
we develop predictive design method for the biorobots based onmathematical and physical models of cells and molecules. In particular, byusing theories of nematic liquid crystals and complex analysis, we build adesign method for controlling the shape and deformation of cellular sheets
and molecular robots and verify the proposed method by experiments.

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Real-World Informatics Lab. (Shinoda and Makino Lab.)https://hapislab.org/?lang=en

Professor
Hiroyuki
Shinoda2）

Associate
Professor
Yasutoshi
Makino2)

We realize a real-world informative environment that goes beyond conventional
barriers by introducing new physical phenomena and physical structures into thesystem. In particular, we propose technologies from hardware to applied systems
for sensing humans, environments, and their interactions, and for supporting
humans through haptic and other human senses. Research topics include basic anduniversal discoveries based on novel ideas and the process of solving social
problems and using them in practical technologies.
(1) Haptic Interface: A system that supports human life and behavior bystimulating the sense of touch simultaneously with audiovisual information.
Clarify the relationship between the tactile sensation and the mind andemotions that support the base of human intelligence, and apply it to realsystems.
(2) 2D Communication: Information and electricity transmission through a thinsheet using electromagnetic waves to realize wireless power supply andhigh-speed signal transmission without interfering with conventional
wireless LAN.
(3) Use of human behavior: Based on the features of human behavior, wepredict near-future motion and estimate haptic characteristics of the object
in touch. This technology can be used for preventing falls and for sports.
(4) Other topics such as physical informatic devices, human-machineinterfaces, non-contact measurement of haptic information, artificial robot
skin, wearable computing, remote interactions for understanding animal
behavior, etc.

2) Department of Complexity Science and Engineering, Graduate School of Frontier Sciences

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Systems Control Lab. (Ishii Lab.)
http://www.scl.ipc.i.u-tokyo.ac.jp/index_e.html

Professor
Hideaki Ishii

In the area of systems control, progresses in communication and computation
technologies have enabled the design of large-scale systems achieving complex
control objectives by connecting various systems and devices that effectively
exchange data over heterogeneous networks. The study of such networked control
systems and cyber-physical systems requires the two areas of systems control andinformatics to meet in new forms. Our group works on a range of problems related
to networked systems from their fundamental characterizations to more applicationoriented design methodologies. The specific research topics are described asfollows:(1) Control over Networks: Networked control systems connect a number of sensors
and actuators over shared channels. We aim at developing analysis and design
methods for the control of such systems by taking account of properties incommunication. Our goal is to expose limitations on control performance undercommunication constraints on data rates. We further consider enhancing robustness
against model uncertainties in the systems to be controlled and the networks.
(2) Distributed Cooperative Control of Multi-agent Systems: We study distributed
cooperative control of systems consisting of autonomous agents such as multimobile robots and sensor networks. There, numerous agents exchange informationand make their own decisions locally. Our research centers around fundamental
theories and their extensions to resilient approaches in the presence of faults andadversaries as well as inter-disciplinary problems for brain neuronal oscillations,
epidemiological networks, social networks, and so on.
(3) Cyber-physical Security of Control Systems: Cyber-attacks manipulating
sensor/control signals can result in irregular responses in the physical systems,
which can be extremely dangerous. From the viewpoints of both control andinformatics, we analyze the effects of cyber-attacks such as communication
disruptions and false data injections and develop security measures for robust
control, fault detection, and privacy protection. Security of the critical infrastructureof power systems is also of our interest.
(4) Control Methods Utilizing Machine Learning: Due to complexities in thesystems to be controlled, mathematical models can be difficult to obtain at times.
For example, it may be hard to model robots working in complex environments
such that controllers can be designed in a reasonable manner. We study
comprehensive methods based on machine learning techniques for finding
controllers from data, where control theory provides certain guarantees on reliability
and so on.

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Neural Information Lab. (Amano, Sawayama, and Nakayama Lab.)https://www.brain.ipc.i.u-tokyo.ac.jp/

Professor
Kaoru Amano
Lecturer
Masataka
Sawayama

We investigate the neural mechanisms underlying human perception and cognition
using non-invasive neuroimaging techniques such as magnetoencephalography(MEG), electroencephalography (EEG), functional magnetic resonance imaging(fMRI). Furthermore, we develop methods for non-invasive manipulation of brain
information to elucidate the neural process that causally contributes to behaviors. In
recent years, we have been focusing on the functional roles of neural oscillations in
information integration, the mechanisms of the individual differences in brain
activity and perception/cognition, and fusion of machine learning techniques andneuroscience.
(1) Development and application of brain information control technology: We aredeveloping techniques for non-invasive manipulation of brain information based ontranscranial electrical/magnetic stimulation and neurofeedback. Using thesetechniques, we investigate the changes in perception, cognition, and behavior
associated with the changes in brain information.
(2) Neural oscillations as a clock for visual processing: Neural oscillations such asalpha (8-13 Hz) and theta (4-8 Hz) oscillations are thought to work as a clock for
information processing in the brain. We investigate this clock function by
combining functional brain imaging such as EEG and MEG with non-invasive
manipulative techniques.
(3) Mechanism of brain state dynamics: Human behavior invariably accompanies
fluctuations, one cause of which lies in the fluctuations of brain states. This researchaims to elucidate the neural mechanisms behind these fluctuations by exploring therelationship between fluctuations in brain states measured by fMRI, MEG/EEG, andoutcomes in brain network connectivity and cognitive task performance.
Additionally, it investigates changes resulting from learning and how humans
control their brain states, shedding light on the underlying neural mechanisms.
(4) Hierarchical visual processing of object recognition in humans and machines:
Recent machine learning models trained on large-scale datasets have succeeded insolving various real-world tasks. In this project, we will analyze brain activity
using machine learning models to clarify information representation in the visual
cortices.

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Information Photonics Lab. (Horisaki and Röhm Lab.)
http://www.infotonics.ipc.i.u-tokyo.ac.jp/index_e.html

Associate
Professor
RyoichiHorisaki「Photonics×Computing」: We aim to create new optical systems and computing
systems by mutually complementing optics/photonics and information science. In
particular, we aim to construct new system architectures from the perspective ofsystems information science, while leveraging the advantages of light as a medium
for information transmission and processing, such as high speed, parallelism, andlow loss. More specifically, as shown below, we are advancing research with two
main focuses: Computing for Photonics and Photonics for Computing. Throughthese research efforts, we also aim to cultivate individuals proficient in both naturalsciences and information science, who will contribute to society in the future.
(1) Computational imaging － Computing for Photonics: We are exploring advanced
imaging technologies that extend beyond traditional imaging by integrating optics
and information science, including the rapidly evolving field of machine learning.
This integration aims to harmonize signal processing with optical measurement andcontrol. Such technologies are highly anticipated across various fields, such as life
sciences, astronomy, and next-generation visual interfaces. Our approach, guided bya minimalist yet sophisticated design philosophy rooted in the fundamentals of optics
and information science, focuses on advancing information visualization, enhancing
performance, and simplifying optical hardware. These goals include the developmentof innovative microscopes, imaging through scattering techniques, and threedimensional displays.
(2) AI photonics － Photonics for Computing: As the demand for information
communication and computation increases, relying solely on electronic processors
for computation leads to finite computational resources that need help to keep up
with demand. Therefore, it is essential to develop computers and accelerators that
exploit the properties of natural and physical systems to achieve energy-efficient andhigh-speed systems. With this in mind, we are driving research and development ofcomputers and accelerators that physically address the above challenges by
exploiting various properties of light. In particular, we are creating new principles
and application systems, such as decision-making using chaotic light, which has fastand complex oscillations, and quantum walks with localization and linear
propagation, as well as optical reservoir computing.

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Computing System Lab. (Nakamura and Takase Lab.)
http://www.hal.ipc.i.u-tokyo.ac.jp/

Professor
HiroshiNakamura

Associate
Professor
Hideki Takase

Our goal is to establish a design methodology for high-quality computing in which
advanced interactions between the physical world and the cyber world are realized.
Here, high-quality includes performance, responsiveness, power consumption,
reliability, and security. These qualities are in a trade-off relationship, and the systemneeds to be optimized according to its characteristics and requirements. We areresearching the comprehensive system-level design methodology to optimize theentire system, including edge devices, such as sensors and robots, servers, andnetworks by coordinating device, circuit technology, architecture, and software.
(1) Cyber-physical systems: Cyber-physical systems connect everything in thephysical world to the Internet, process enormous amounts of obtained data in theinformation or cyber world, and work on the physical world. We are conducting
research on optimization of computing to improve performance, responsiveness,
power efficiency, reliability, and security by making full use of characteristics of thetarget processing task.
(2) Highly Efficient Accelerated Computing: Significant performance improvements
are required in various types of computing, including high-performance computing
and machine learning. To meet this demand, we are conducting research to improve
the speed of high-efficiency computing by coordinating and linking devices, circuit
technology, architecture, and system software across design layers. To this end, weare studying coarse-grain reconfigurable architecture and approximate computing
which makes good use of parallelism, locality, and allowed accuracy degradation.
We are also working on quantum computing based on new computing principles.
(3) Communication technology and design optimization for cloud robotics systems:
Based on ROS (Robot Operating System), we are researching a lightweight runtime
environment for embedded devices, and a highly autonomous communication library
for IoT systems using the functional language Elixir. We are also working on
development methodologies that utilize cloud-native technologies and virtualenvironments for robot applications in large-scale IoT environments.
(4) Comprehensive computing technology for IoT systems: We are researching
distributed machine learning infrastructures, especially for processing allocation
optimization that adapts to changes in resource and geographic information of IoT
nodes, and a programming model for comprehensive representation of fairness anddiversity in the AI model. In addition, we are researching a resource-permeating
distributed processing platform based on a functional programming paradigm.

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Information Somatics Lab. (Inami and Monnai Lab.)https://www.star.rcast.u-tokyo.ac.jp

Professor
Masahiko
Inami

Associate
Professor
YasuakiMonnai

We are conducting research on "Information Somatics," which explores themechanisms of the body as a physical information system based on
physiological, cognitive, and physical findings. It aims to enhance the innate
human sensory functions, motor functions, emotional functions, and intellectual
processing abilities through measurement, communication, and control
technology.
(1) Extended Body: Research on technologies that extend human input/output by
integrating biometric information such as gaze, facial expressions, and heart rate,with sensory and perceptual measurement technologies such as motion prediction
and intention, and intervention technologies like robot control or electricalmuscle stimulation. This involves engineering research and development aimed
at enhancing human capabilities and acquiring new bodily perceptions byappropriately sensing the user's intent and feeding back information about thetask object to the user's body.
(2) Extended Communication: The human body and mind are inseparably
related, and subjective experiences such as perception and emotions areconstituted through the mediation of one's own and others' bodies. In a systemthat includes both self and others, this research aims to transform subjective
experiences by controlling the flow of physical and cognitive information using
Virtual Reality (VR), augmented reality, wearable technology, wirelesstechnology, robotic technology, and telexistence. The goal is to socially
implement support for communication among users with different attributes andpreferences, aiming for the realization of super-aged societies and smart cities
where diverse people thrive.
(3) Wireless Interaction: We are working on terahertz technology research towirelessly connect the wet interior environment of the body with the dry exterior
environment, from both hardware (manufacturing) and software (signal
processing) perspectives. Specifically, this includes working on increasing thepower and resolution of new technologies that modulate terahertz waves on the
body surface to generate ultrasound inside the body without contact, and new
beam tracking technologies that compensate for wave diffraction effects whiletransmitting terabit-level data wirelessly to people or devices moving throughspace. The goal is to apply these technologies to biometric measurement andwireless communication, aiming to support cognitive actions withoutcompromising the user's physicality.

19This document is a translation from the official Japanese version.

Information Communication System Architecture Laboratory
https://www.sekiya-lab.info/

Professor
Yuji
Sekiya3)

In this laboratory, we research communication infrastructure technology and its
architecture using software and virtualization, and methods for detection andcountermeasures against cybersecurity threats using machine learning.
This laboratory cooperates with the Information Technology Center and Security
Informatics Education and Research Center at the University of Tokyo. We aim tocontribute to improving the system architecture using software technology andcybersecurity measures based on actual operations.
(1) Virtualization and software technologies have been introduced as
fundamental technologies for information communication systems (ICT)such as cloud computing and 5G. In recent years, flexibility and promptness
are required on ICT systems. Therefore, virtualization and software
technology are being introduced into, classically, hardware-basedarchitectures. In this laboratory, we research software technologies for ICT
systems and their new architecture.
(2) Cybersecurity is a big problem for ICT systems. Attackers steal confidential
information and hijack systems through organized and sophisticated attacks.
In this laboratory, we research methods to detect cyber threats using
machine learning technologies with various types of datasets from
communication infrastructure to social trends. This research improves thesafety of ICT systems that support society’s infrastructures.

3) Security Informatics Education and Research Center

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This document is a translation from the official Japanese version.

Systems Pharmacology (Prof. Ueda)
http://sys-pharm.m.u-tokyo.ac.jp/

Professor
HirokiOur goal: Understanding and controlling sleep and consciousness through the
integration of medicine and information science

Ueda4)

Whole-brain & whole-cell analysis
Our laboratory has developed a whole-brain clearing and imaging method (CUBIC)
which can make brain samples look transparent, such that all cells in the brain canbe analyzed at a single-cell resolution, including the position of all cells. Aiming at
understanding brain functions, we will develop analysis and visualization methods
for large image data (14 terabytes per brain) obtained by CUBIC, and apply it to thestudy of sleep/wake rhythms.
Keywords: Cloud computing, Brain function analysis, Image analysis
Chemoinformatics-driven drug discovery
Chemoinformatics is becoming more and more widespread such as for drug
discovery research, but it still requires development in many aspects, such asactivity prediction and structure prediction. In our laboratory, we will develop
algorithms to predict drug discovery and experimental reagent candidates by
predicting compounds with specific activities, and apply it to the study ofsleep/wake rhythms.
Keywords: Machine learning, Bayesian optimization, Drug screening
Development of sleep classification algorithm using biological data
Accurate sleep classification of humans is performed by measuring brain waves.
Based on easily acquired time-series data such as breathing and arm movements, wehave developed a simple and high-performance sleep classification algorithm using
machine learning. By improving this algorithm, we will carry out a big data analysis
of sleep and understand sleep/wake rhythm.
Keywords: Machine learning, Time series analysis, Biological data

4) Department of Systems Pharmacology, Graduate School of Medicine

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