Ryugaku Jinja Research NotesPrimary

Research Direction Report · Sample

Civil engineering, architecture, and disaster prevention

Logistics management → Civil engineering, architecture, and disaster prevention · Target degree：Master's

Candidate professors: 5
Topic hypotheses: 3
Core methods: 6

留学神社

Reading note

This is not a live run. It compares three fields for a fictional logistics student and lets you open the full methods, faculty, and evidence for each direction. Recheck university, faculty, publication, and grant details on official pages before applying.

Synthesis

How the three directions compare

Advisor synthesis

Civil engineering, architecture, and disaster prevention is the primary direction because it puts the student's research object, existing vehicle-routing foundation, and this run's public leads into one question. Transport and urban roads, civil planning and resilience, and network optimization under uncertainty can all define the constraints of delivery after road disruption; the field-level method aggregation also supplies mathematical optimization and resilience assessment as a starting point. The five faculty leads are verification entry points, not proof of disaster-delivery experiments, current recruitment, or an outcome. Informatics remains the second option for adding multi-agent simulation after the first question holds up, but this run has fewer public leads tied to the object. Management is closest to the logistics major, yet fits better if the question shifts to business supply-chain decisions. First run one small, reproducible baseline comparison with the same information for both groups. It can test a model design, not benefits in a real disaster. Expand only if the result is reproducible, its sensitivity to assumptions and scenarios is explainable, and the data support the question. A null or negative result is still valuable; do not change metrics to chase improvement.

The research object connects directly to vehicle routing; public leads on transport, resilience, and network decisions support building a testable model first.

Verify the laboratory's current topics and supervision scope, then compare disrupted-road delivery against a fixed-route baseline.

It can strengthen multi-agent simulation after the optimization baseline, but the public leads checked in this run are mainly adjacent methods.

Deepen it separately only when the first question needs more complex simulation and a lab focused on urban logistics or disaster simulation is verified.

It is strongly continuous with logistics management, but this run's leads are spread across commerce, accounting, and adjacent information fields rather than concentrated on disrupted-road delivery.

Reconsider it as primary only if the question shifts to business supply-chain costs, inventory, or organizational decisions.

Direction

What this academic direction studies

This deep report treats “how much demand can urban last-mile delivery still serve after roads are disrupted?” as a civil-engineering, disaster-prevention, and social-systems question. The public records retrieved in this run include leads on transport planning and urban roads, civil planning and resilience, and transport-network optimization under uncertainty; the field-level method aggregation also includes mathematical optimization and resilience assessment. Together, those leads justify turning a logistics student's vehicle-routing, statistics, and GIS foundation into a testable question. They do not establish that any laboratory has run a disaster-delivery experiment, is accepting this topic, or will promise an outcome. Start with mathematical optimization as the decision baseline, then use a small multi-agent simulation to test whether changing road states and delivery actors overturn that decision. The latter is the student's proposed research bridge, not an attribution of a professor's method.

Field foundationsStart with the toolkit commonly used across this field.

Statistical quality control

Uses control charts, sampling, and related statistical tools to judge whether construction or material quality is stable.

Typical useConcrete production, pavement work, and process quality monitoring

Aliases / EnglishSQC · Statistical Quality Control

Commonly applied inCivil engineering materials, construction, and construction management

Foundational
Quantitative analysis
108 profs

Nonlinear elasto-plastic analysis

Models cracking, yielding, and large deformation to reproduce structural behavior close to failure.

Typical useSeismic performance, ultimate capacity, and collapse-process analysis

Aliases / EnglishElasto-Plastic Analysis · Nonlinear Analysis · Nonlinear Elasto-Plastic Analysis

Commonly applied inBuilding structures and materials

Intermediate
Computation & simulation
41 profs

Representative sub-field methodsUse these to scan adjacent sub-fields before narrowing too early.

Urban morphological analysis

Analyzes blocks, roads, plots, and building form to understand how urban space is organized.

Typical useBlock-form comparison and analysis of density and open-space structure

Aliases / EnglishMorphological Analysis · Urban Morphological Analysis · Urban Morphology Analysis

Commonly applied inArchitectural and urban planning

Foundational
Quantitative analysis
40 profs

Building environmental digital twins and data assimilation

Continuously feeds sensor measurements into a model so it better reflects actual building operation.

Typical useSmart-building control, real-time indoor prediction, and energy-efficient operation

Aliases / EnglishBuilding Environmental Digital Twin · Building Environmental Digital Twin and Data Assimilation · Data Assimilation

Commonly applied inBuilding environment and building services

Frontier
Computation & simulation
32 profs

Connected to your interestThese have lexical or method evidence connecting to your current interest, without fixing the final question.

Mathematical optimization

Represents resources, costs, and constraints in a mathematical model to find the best decision.

Typical useFacility location, scheduling, logistics, investment, and public-resource allocation

Aliases / EnglishInteger Programming · Linear Programming · Mathematical Optimization

Commonly applied inSocial systems engineering

Foundational
Theory & modeling
118 profs

Resilience assessment

Looks beyond whether a system is hit to whether it can maintain service and recover quickly.

Typical useResilience assessment for cities, communities, and critical infrastructure

Aliases / EnglishResilience Assessment

Commonly applied inDisaster prevention engineering

Frontier
Mixed methods
3 profs

Bridge

From now to graduation: your long route

Before applying, complete only one road-disruption delivery experiment at the suggested scale and retain its data, seeds, identical information given to both groups, baseline, comparison results, and computation and response costs so it can be reproduced. Extend the uncertainty model and multi-agent simulation after enrollment only when the result is reproducible, its sensitivity to assumptions and scenarios is explainable, and the data support the question. A null or negative result is still valid; do not add technologies or change metrics to chase improvement. Narrow the question to one disruption mechanism only if the data cannot support it.

Before enrollment · start now

After enrollment · you'll learn

Start from the fixed-route baseline and study how integer or robust mathematical optimization handles constraints and uncertainty in logistics networks

Only after the information-symmetric optimization comparison is reproducible and its scenario sensitivity is explainable, use multi-agent simulation for courier reassignment and demand cancellation; use it as a stress test, not a replacement for the optimization model

Add GIS and network analysis to a broader reproducible experiment only when the road and demand data have traceable sources; otherwise retain the limits of the small synthetic scenario

Clues

Universities researching this direction

Top and highly selectiveFormer Imperial · top national · Sokei-Jori3 shown · 373 professors

S · 京都府

京都大学

高岡昌輝下水汚泥管理 · リサイクル · ジオポリマー

森信人高潮 · Coastal and Ocean Engineering · Physical Oceanography

A · 宮城県

東北大学

寺田賢二郎応用力学 · 計算機支援工学 · 固体力学

中谷友樹医療地理学 · 空間疫学 · GIS

S · 東京都

東京大学

赤司　泰義建築熱環境 · 運用・管理 · 建築エネルギーシステム

沖　大幹東南アジア · アジアモンスーン · グローバルな水循環

Upper-tier groupsKaneoka-Chihiro · 5S national · GMARCH · Kankan-Doritsu2 shown · 127 professors

C · 長野県

信州大学

村松寛之炭素材料

小松一弘dissolved organic matter · lake biogeochemistry · stream water quality

B · 大阪府

関西大学

中川清晴燃料電池・金属イオン電池 · カーボンナノチューブ · ダイヤモンド

都築和代高齢者 · 睡眠 · 労働環境

Regional public universitiesRegional national · specialist national · public1 shown · 109 professors

C · 東京都

東京都立大学

加藤俊吾分析化学 · 大気化学

北山和宏Reinforced Concrete · 耐震設計 · Earthquake Engineering

Mid-tier private groupsNitto-Komasen · Sankin-Koryu · regional private2 shown · 197 professors

D · 東京都

日本大学

居駒知樹溯上 · 海洋建築 · 浮体構造物

阿部慶太計算力学 · 地盤工学

C · 東京都

芝浦工業大学

稲積真哉地盤改良 · 薬液注入 · 液状化評価

伊代田岳史コンクリート工学 · 廃棄物再生 · セメント化学

Other university leadsMedical and specialist private · local private · other1 shown · 39 professors

E · 広島県

広島工業大学

宋城基指定避難所 · 省エネルギー · 自然エネルギー建築・設備

山本健太郎防災・減災工学 · 安全工学 · エミュー

People

Professors you could contact

5Layered from your major and current intent: 3 direct, 2 adjacent, and 0 exploratory leads. This is not ranked by school supply; verify each lead on official pages.

Directly relatedThis means the research topic connects to your stated intent — not a recommendation strength or admission odds. Read the caveats in each explanation too.3

0Overall fit

教授東北大学 · 工学部 / 工学研究科

Public titles include sampling placement based on value of information, seismic-performance analysis, and a review of reliability assessment. They provide methodological leads for representing uncertainty and system reliability, not evidence that urban delivery is the research object. Verify with the laboratory whether those leads can be applied to a delivery network and whether the current supervision scope permits it.

dynamic mode decompositionESTIMATIONtechnical standard for port宮城県

Direct match

0Overall fit

准教授京都大学 · 工学部・工学研究科

Public keywords include civil planning and resilience, and titles include traffic-accident analysis and Markovian analysis from travel data. They are leads for transport-system modeling, not direct public evidence of post-disaster delivery research. Verify whether a logistics-optimization-centered question and the current supervision arrangement are suitable.

土木民俗レジリエンス土木計画京都府

Direct match

0Overall fit

教授信州大学 · 工学部

The public record lists transport economics, urban road traffic, and travel behavior, with titles on road-user behavior and local railways. These are leads for deciding how road states and traveler behavior may enter a delivery-network model, so this is a priority lead to verify. The titles themselves do not prove a disaster-delivery experiment or current supervision of this question.

transport economicsairport choicelight rail transit長野県

Direct match

Expanded search · adjacent directionsWhen exact supply is thin, this expands to nearby topics or transferable methods. These are not exact matches.2

0Overall fit

研究員（非常勤）京都大学 · 防災研究所

Public titles concern climate information, river-water temperature, and tsunami-attenuation prediction. They are adjacent leads for checking the boundary of a hazard scenario or uncertainty data, not grounds to infer last-mile-delivery research or supervision. Confirm the concrete project and appointment conditions first.

climate change impactsriver discharge modelingsediment transport京都府

Adjacent direction

0Overall fit

教授鳥取大学 · 工学部

Public titles concern road-network maintenance, dynamic user equilibrium, and network decisions under uncertainty. They are adjacent methodological leads for route constraints after disruption, not evidence of disaster-logistics studies or an admissions commitment. Check whether a delivery network can be accepted as the application object.

dynamic user equilibriumroute choicecorridor networks鳥取県

Adjacent direction

Topics

Questions you could start from

Compare three researchable framings by subject, method, and data needs.

Disrupted-road delivery

Under road disruption and higher demand, can rolling re-optimization improve service continuity for small urban last-mile delivery over a fixed pre-disaster route?

This first connects the student's existing Python / OR-Tools experience to the field-level leads for mathematical optimization and resilience assessment. It is a research question to test: neither a field method nor a professor's public title alone proves delivery performance or available supervision.

Data and materials neededA suggested experimental scale is one depot, two vehicles, and 20–30 delivery points. Give both groups the same road-disruption and demand information. The baseline keeps the original order assignment but may take feasible detours around blocked segments; the comparison group may reassign orders and use rolling re-optimization. Use a public road-network segment or a hand-built graph of the same size. If disaster-time access and demand data are unavailable, use synthetic disruption scenarios with fixed random seeds and state that they cannot be generalized to real disasters. Compare service coverage, unserved points, and total travel time, while recording additional computation and response costs; record every undeliverable point as unserved. Expand only when results are reproducible, sensitivity to assumptions and scenarios is explainable, and the data support the question. A null or negative result is still valid; do not change metrics to chase improvement.

Temporary delivery sites

In a public or synthetic flood road-closure scenario, how does the location of a temporary delivery point change community service coverage?

This second candidate shifts mathematical optimization on the same network from route choice to facility location. Pursue it only when the source of road closures and a population or demand proxy can be stated; otherwise keep it as a later narrowing option rather than presenting the title as existing empirical evidence.

Data and materials neededReuse the first question's network, vehicles, and metrics, changing only the delivery-site location. If public disaster data cannot be matched to roads and demand, use a synthetic scenario and limit conclusions to the model comparison; do not turn it into a siting recommendation for a real city.

Delivery-actor coordination

When couriers and demand points update under simple rules, does multi-agent simulation change the comparison between rolling re-optimization and fixed routes?

This is a bridge to multi-agent simulation, not an attribution of that method to a faculty lead. Complete the first optimization comparison, then add a small number of interpretable agent rules to the same network and scenarios to see whether the conclusion holds. It does not require learning deep learning, reinforcement learning, and digital twins together.

Data and materials neededAdd this only after the first baseline and re-optimization are reproducible. Keep the same random seeds, road disruptions, and metrics, adding only stated rules such as courier reassignment and demand cancellation. If the rule choices dominate the result, return to the optimization model rather than treating simulation complexity as the contribution.

Recent research themesKAKEN projects from the past five years

全球および領域統合モデルを用いた極端沿岸災害の確率情報と可能最大強度の計量化

7 professors with related projects

多様な発生形態を有する南海トラフ地震に対応可能なライフライン防災に関する研究

3 professors with related projects

高齢化する防災構造物の安全性評価に関する高信頼性・超高速計算システムの構築

3 professors with related projects

高度な地図情報と気象情報によるデジタルツインを用いた普及型ＺＥＢ，ＺＥＨ研究

3 professors with related projects

過疎地域公共交通の統合的ビジネスモデルの構築に関する研究

5 professors with related projects

戦略と戦術を往来するアジャイル（応答）型都市デザインマネジメント手法の構築

4 professors with related projects

Advice

What to do next

Check the question, professors, and method once each. Then decide whether to move into formal matching and outreach.

Do these three things first

Today

Turn one question into a one-page brief

Start from “Under road disruption and higher demand, can rolling re-optimization improve service continuity for small urban last-mile delivery over a fixed pre-disaster route?” and flesh it out: the subject, the change you want to explain, obtainable data, and a provisional method — one line each.

This week

Check the brief against two professors

Check the official pages and recent work of Yu Otake and Satoshi Nakao. Record only three things for each: research subject, usual methods, and recent projects. If neither aligns, return to section E before making contact.

Before outreach

Run one small test before going deeper

Start with “Mathematical optimization” from section A and a small dataset you can actually obtain. Produce one chart, table, or reproducible result; if you get stuck, record whether the blocker is data or method.

When you want the tools to continue

Go to professor matchingCarry this direction into professor matching to expand and verify the shortlist.Start a research proposalReuse the direction and topic leads from this report to narrow a research plan.Write an email after choosing a professorOnce you choose a professor, prepare the first contact email in the outreach tool.

Evidence

Evidence used in this in-depth analysis

This records which of your materials shaped the report and which methods, professors, publications, and funded topics were actually retrieved.

Why this report is yours

[01]Whole report · InputAcademic fields: Informatics and computer science · Civil engineering, architecture, and disaster prevention · Management, commerce, and accounting 6 confirmed academic items (thesis title, methods, outputs) informed this run.

Used for: This material decides which direction the report works on and informs the whole run; it is not tied to a single section.

[02]Sec. A · MethodsAdditional intent: The student majors in logistics management and plans to apply to a master's program in Japan.

Used for: Field foundations and representative sub-field methods stay visible, with a separate group connected to your current interest.

[03]Sec. B · DistanceTarget degree: Master's

Used for: The pre-enrollment checklist and transition path are built around your target degree.

[04]Sec. C · SchoolsUndergraduate major confirmed now: Logistics management

Used for: Shows each school's professor count and share within the broad field to map the research ecosystem, not personal fit or admission odds.

[05]Sec. D · FacultyUndergraduate major confirmed now: Logistics management

Used for: Professors are retrieved within the chosen direction, then explanations and structured signals are reconciled into direct, adjacent, or exploratory layers.

[06]Sec. E · TopicsField-level public method signals

Used for: Topic hypotheses combine public methods after the professor search, so you can compare and narrow the research question.

Reference evidence index · 95 retrieved items used in this analysis · Methods (Sec. A) 18 · Professors (Sec. D) 15 · Publications (Sec. D) 45 · KAKEN topics (Sec. E) 17

View all reference evidence (95 items)

[01]Methods (Sec. A)Statistical quality control · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[02]Methods (Sec. A)Nonlinear elasto-plastic analysis · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[03]Methods (Sec. A)Urban morphological analysis · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[04]Methods (Sec. A)Building environmental digital twins and data assimilation · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[05]Methods (Sec. A)Mathematical optimization · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[06]Methods (Sec. A)Resilience assessment · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[07]Methods (Sec. A)Deep learning · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[08]Methods (Sec. A)Neural networks · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[09]Methods (Sec. A)Molecular dynamics · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[10]Methods (Sec. A)Regression analysis · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[11]Methods (Sec. A)Sim-to-real transfer · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[12]Methods (Sec. A)Monte Carlo tree search · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[13]Methods (Sec. A)Financial statement analysis · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[14]Methods (Sec. A)Business model analysis · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[15]Methods (Sec. A)Firm valuation · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[16]Methods (Sec. A)Applied time-series analysis · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[17]Methods (Sec. A)Trade-area analysis · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[18]Methods (Sec. A)Agent-based simulation · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[19]Professors (Sec. D)高瀬達夫 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[20]Professors (Sec. D)大竹雄 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[21]Professors (Sec. D)中尾聡史 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[22]Professors (Sec. D)本間基寛 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[23]Professors (Sec. D)長江剛志 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[24]Professors (Sec. D)天野憲樹 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[25]Professors (Sec. D)小林稔 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[26]Professors (Sec. D)伊藤学 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[27]Professors (Sec. D)伊藤泰雅 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[28]Professors (Sec. D)木村富也 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[29]Professors (Sec. D)長沢敬祐 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[30]Professors (Sec. D)西山徹二 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[31]Professors (Sec. D)二宮麻里 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[32]Professors (Sec. D)永田清 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[33]Professors (Sec. D)佐藤信彦 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[34]Publications (Sec. D)脳波を用いた地域の基本的景観と音の相互作用評価 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[35]Publications (Sec. D)無信号の食い違い二段階横断施設による利用者挙動と意識に関する研究 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[36]Publications (Sec. D)長野県における地方鉄道の価値を考慮した路線存続に関する研究 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[37]Publications (Sec. D)Optimal Sampling Placement in a Gaussian Random Field Based on Value of Informat · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[38]Publications (Sec. D)特異値分解による線形次元削減と代替モデルに基づく耐震性能照査手法の高度化に向けた基礎的研究～重力式岸壁に対する地震応答解析への適用～ · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[39]Publications (Sec. D)Challenges in geotechnical design revealed by reliability assessment: Review and · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[40]Publications (Sec. D)Traffic accident severity analysis focused on negative atmospheric pressure chan · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[41]Publications (Sec. D)Markovian analysis of tourist tours based on travel app data from Kyoto, Japan ( · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[42]Publications (Sec. D)動画コンテンツを用いた自動車や自転車の利用マナーに関する意識変容についての研究 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[43]Publications (Sec. D)Development Of Climate Change Information Database And Its Use In Civic Consciou · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[44]Publications (Sec. D)長良川におけるアユの遡上と水温の関係について · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[45]Publications (Sec. D)リアルタイム津波波形データを活用した津波減衰予測手法の開発と検証 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[46]Publications (Sec. D)舗装マネジメント費用の巨視的性質と道路ネットワークの長期補修施策 (2026) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[47]Publications (Sec. D)連続主体ポテンシャル・ゲームの確率的進化動学と定常分布推定方法 (2020) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[48]Publications (Sec. D)経路・出発時刻同時選択型の動的利用者均衡配分の求解法：二次計画問題アプローチ (2020) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[49]Publications (Sec. D)Glicth Art based on Digital Games Proc. of 12th International Conference on Digi · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[50]Publications (Sec. D)A Stage Performance that Combines Live Coding for Stage Lights and DAW-based Mus · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[51]Publications (Sec. D)Toward the Realization of Multi-colored Switching Animation Using Light · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[52]Publications (Sec. D)2025 年 8 月 (2025) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[53]Publications (Sec. D)Proceedings of The 2025 Asian Conference of Management Science and Applications · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[54]Publications (Sec. D)2025 年 12 月 (2025) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[55]Publications (Sec. D)A Video Metadata Application and Its Verification Test Using MPEG-7 Description · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[56]Publications (Sec. D)Development of Content Retrieval Application using MPEG-7 for Archive Video Mate · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[57]Publications (Sec. D)Examination of Image Retrieval System Using Subjective Image Information · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[58]Publications (Sec. D)情報リテラシー入門（共著）2025 年 3 月 31 日（学内テキスト） (2025) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[59]Publications (Sec. D)生成 AI に関する教員研修の実施について（単著）2024 年 6 月 14 日産業能率大学情報センター年報 (2024) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[60]Publications (Sec. D)Microsoft Office 2021 テキスト（共著）2023 年 3 月 31 日日経 BP (2023) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[61]Publications (Sec. D)2025 年度経営システム工学特論 (2025) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[62]Publications (Sec. D)2025 年度情報システム論 (2025) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[63]Publications (Sec. D)2025 年度情報マネジメント基礎演習Ⅱ (2025) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[64]Publications (Sec. D)Designing global supply chain network under carbon border adjustment mechanism f · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[65]Publications (Sec. D)Utilization of Free Trade Agreements to Minimize Costs and Carbon Emissions in t · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[66]Publications (Sec. D)Design of a robust closed-loop supply chain with backup suppliers under disrupti · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[67]Publications (Sec. D)著書：なし · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[68]Publications (Sec. D)研究テーマ：将来キャッシュ･フローを用いた会計測定 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[69]Publications (Sec. D)「中小企業の会計に関する指針」と「中小企業の会計に関する基本要領」に関する考察 : 有形固定資産の減価償却を中心として—A Study of Accountin · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[70]Publications (Sec. D)2024 年 03 月 (2024) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[71]Publications (Sec. D)info:doi/10.24544/omu.20230313-004 (2023) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[72]Publications (Sec. D)2023 Regional Studies Association Annual Conference, Ljublijana (2023) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[73]Publications (Sec. D)論文 Ontology-based System for Generating Information Security Policy Athens Insti · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[74]Publications (Sec. D)論文 Data Science Education in Japan -History and Current Status- Proceedings of t · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[75]Publications (Sec. D)著書 Establishing Information Security Policy as an Organizational Risk Management · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[76]Publications (Sec. D)会計研究の挑戦 (2020) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[77]Publications (Sec. D)中小企業会計の多様性 (2019) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[78]Publications (Sec. D)会計制度のパラダイムシフト (2019) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[79]KAKEN topics (Sec. E)全球および領域統合モデルを用いた極端沿岸災害の確率情報と可能最大強度の計量化 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[80]KAKEN topics (Sec. E)多様な発生形態を有する南海トラフ地震に対応可能なライフライン防災に関する研究 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[81]KAKEN topics (Sec. E)高齢化する防災構造物の安全性評価に関する高信頼性・超高速計算システムの構築 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[82]KAKEN topics (Sec. E)高度な地図情報と気象情報によるデジタルツインを用いた普及型ＺＥＢ，ＺＥＨ研究 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[83]KAKEN topics (Sec. E)過疎地域公共交通の統合的ビジネスモデルの構築に関する研究 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[84]KAKEN topics (Sec. E)戦略と戦術を往来するアジャイル（応答）型都市デザインマネジメント手法の構築 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[85]KAKEN topics (Sec. E)エッジ AI 時代の超低演算量・低容量化を実現する汎用深層学習理論の構築 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[86]KAKEN topics (Sec. E)機械学習ベースの情報アクセスシステムにおける精査可能性に関する研究 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[87]KAKEN topics (Sec. E)MaaS のラストマイル移動支援にむけた移動情報利活用基盤 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[88]KAKEN topics (Sec. E)研究データリポジトリの構築に向けた学術論文テキストの解析と利用 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[89]KAKEN topics (Sec. E)機械学習による情報の意味獲得と意味類似情報の検索・生成 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[90]KAKEN topics (Sec. E)理論的に計算不能・計算困難なクラスの可解領域の研究 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[91]KAKEN topics (Sec. E)マネジメントコントロールシステムの設計・運用とその効果に関する経験的研究 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[92]KAKEN topics (Sec. E)加速する人口減少下における持続可能な上下水道サービスに関する実証的研究 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[93]KAKEN topics (Sec. E)インバウンド・アウトバウンド・ループ創出へ向けたツーリズム・バイアス研究 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[94]KAKEN topics (Sec. E)組織学習のエコロジーと組織インテリジェンスに関する理論的・実証的研究 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[95]KAKEN topics (Sec. E)非財務開示情報に対する監査・保証の枠組みに関する研究 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

Next step

Next, map directions from my own profile

Enter your major, topics, and preferred methods to compare directions for your own case.

Start my direction

Ryugaku Jinja Research NotesPrimary

Research Direction Report · Sample

Civil engineering, architecture, and disaster prevention

Logistics management → Civil engineering, architecture, and disaster prevention · Target degree：Master's

Candidate professors: 5
Topic hypotheses: 3
Core methods: 6

留学神社

Reading note

Synthesis

How the three directions compare

Advisor synthesis

Civil engineering, architecture, and disaster prevention is the primary direction because it puts the student's research object, existing vehicle-routing foundation, and this run's public leads into one question. Transport and urban roads, civil planning and resilience, and network optimization under uncertainty can all define the constraints of delivery after road disruption; the field-level method aggregation also supplies mathematical optimization and resilience assessment as a starting point. The five faculty leads are verification entry points, not proof of disaster-delivery experiments, current recruitment, or an outcome. Informatics remains the second option for adding multi-agent simulation after the first question holds up, but this run has fewer public leads tied to the object. Management is closest to the logistics major, yet fits better if the question shifts to business supply-chain decisions. First run one small, reproducible baseline comparison with the same information for both groups. It can test a model design, not benefits in a real disaster. Expand only if the result is reproducible, its sensitivity to assumptions and scenarios is explainable, and the data support the question. A null or negative result is still valuable; do not change metrics to chase improvement.

The research object connects directly to vehicle routing; public leads on transport, resilience, and network decisions support building a testable model first.

Verify the laboratory's current topics and supervision scope, then compare disrupted-road delivery against a fixed-route baseline.

It can strengthen multi-agent simulation after the optimization baseline, but the public leads checked in this run are mainly adjacent methods.

Deepen it separately only when the first question needs more complex simulation and a lab focused on urban logistics or disaster simulation is verified.

It is strongly continuous with logistics management, but this run's leads are spread across commerce, accounting, and adjacent information fields rather than concentrated on disrupted-road delivery.

Reconsider it as primary only if the question shifts to business supply-chain costs, inventory, or organizational decisions.

Direction

What this academic direction studies

Field foundationsStart with the toolkit commonly used across this field.

Statistical quality control

Uses control charts, sampling, and related statistical tools to judge whether construction or material quality is stable.

Typical useConcrete production, pavement work, and process quality monitoring

Aliases / EnglishSQC · Statistical Quality Control

Commonly applied inCivil engineering materials, construction, and construction management

Foundational
Quantitative analysis
108 profs

Nonlinear elasto-plastic analysis

Models cracking, yielding, and large deformation to reproduce structural behavior close to failure.

Typical useSeismic performance, ultimate capacity, and collapse-process analysis

Aliases / EnglishElasto-Plastic Analysis · Nonlinear Analysis · Nonlinear Elasto-Plastic Analysis

Commonly applied inBuilding structures and materials

Intermediate
Computation & simulation
41 profs

Representative sub-field methodsUse these to scan adjacent sub-fields before narrowing too early.

Urban morphological analysis

Analyzes blocks, roads, plots, and building form to understand how urban space is organized.

Typical useBlock-form comparison and analysis of density and open-space structure

Aliases / EnglishMorphological Analysis · Urban Morphological Analysis · Urban Morphology Analysis

Commonly applied inArchitectural and urban planning

Foundational
Quantitative analysis
40 profs

Building environmental digital twins and data assimilation

Continuously feeds sensor measurements into a model so it better reflects actual building operation.

Typical useSmart-building control, real-time indoor prediction, and energy-efficient operation

Aliases / EnglishBuilding Environmental Digital Twin · Building Environmental Digital Twin and Data Assimilation · Data Assimilation

Commonly applied inBuilding environment and building services

Frontier
Computation & simulation
32 profs

Connected to your interestThese have lexical or method evidence connecting to your current interest, without fixing the final question.

Mathematical optimization

Represents resources, costs, and constraints in a mathematical model to find the best decision.

Typical useFacility location, scheduling, logistics, investment, and public-resource allocation

Aliases / EnglishInteger Programming · Linear Programming · Mathematical Optimization

Commonly applied inSocial systems engineering

Foundational
Theory & modeling
118 profs

Resilience assessment

Looks beyond whether a system is hit to whether it can maintain service and recover quickly.

Typical useResilience assessment for cities, communities, and critical infrastructure

Aliases / EnglishResilience Assessment

Commonly applied inDisaster prevention engineering

Frontier
Mixed methods
3 profs

Bridge

From now to graduation: your long route

Before enrollment · start now

After enrollment · you'll learn

Start from the fixed-route baseline and study how integer or robust mathematical optimization handles constraints and uncertainty in logistics networks

Add GIS and network analysis to a broader reproducible experiment only when the road and demand data have traceable sources; otherwise retain the limits of the small synthetic scenario

Clues

Universities researching this direction

Top and highly selectiveFormer Imperial · top national · Sokei-Jori3 shown · 373 professors

S · 京都府

京都大学

高岡昌輝下水汚泥管理 · リサイクル · ジオポリマー

森信人高潮 · Coastal and Ocean Engineering · Physical Oceanography

A · 宮城県

東北大学

寺田賢二郎応用力学 · 計算機支援工学 · 固体力学

中谷友樹医療地理学 · 空間疫学 · GIS

S · 東京都

東京大学

赤司　泰義建築熱環境 · 運用・管理 · 建築エネルギーシステム

沖　大幹東南アジア · アジアモンスーン · グローバルな水循環

Upper-tier groupsKaneoka-Chihiro · 5S national · GMARCH · Kankan-Doritsu2 shown · 127 professors

C · 長野県

信州大学

村松寛之炭素材料

小松一弘dissolved organic matter · lake biogeochemistry · stream water quality

B · 大阪府

関西大学

中川清晴燃料電池・金属イオン電池 · カーボンナノチューブ · ダイヤモンド

都築和代高齢者 · 睡眠 · 労働環境

Regional public universitiesRegional national · specialist national · public1 shown · 109 professors

C · 東京都

東京都立大学

加藤俊吾分析化学 · 大気化学

北山和宏Reinforced Concrete · 耐震設計 · Earthquake Engineering

Mid-tier private groupsNitto-Komasen · Sankin-Koryu · regional private2 shown · 197 professors

D · 東京都

日本大学

居駒知樹溯上 · 海洋建築 · 浮体構造物

阿部慶太計算力学 · 地盤工学

C · 東京都

芝浦工業大学

稲積真哉地盤改良 · 薬液注入 · 液状化評価

伊代田岳史コンクリート工学 · 廃棄物再生 · セメント化学

Other university leadsMedical and specialist private · local private · other1 shown · 39 professors

E · 広島県

広島工業大学

宋城基指定避難所 · 省エネルギー · 自然エネルギー建築・設備

山本健太郎防災・減災工学 · 安全工学 · エミュー

People

Professors you could contact

5Layered from your major and current intent: 3 direct, 2 adjacent, and 0 exploratory leads. This is not ranked by school supply; verify each lead on official pages.

Directly relatedThis means the research topic connects to your stated intent — not a recommendation strength or admission odds. Read the caveats in each explanation too.3

0Overall fit

教授東北大学 · 工学部 / 工学研究科

dynamic mode decompositionESTIMATIONtechnical standard for port宮城県

Direct match

0Overall fit

准教授京都大学 · 工学部・工学研究科

土木民俗レジリエンス土木計画京都府

Direct match

0Overall fit

教授信州大学 · 工学部

transport economicsairport choicelight rail transit長野県

Direct match

Expanded search · adjacent directionsWhen exact supply is thin, this expands to nearby topics or transferable methods. These are not exact matches.2

0Overall fit

研究員（非常勤）京都大学 · 防災研究所

climate change impactsriver discharge modelingsediment transport京都府

Adjacent direction

0Overall fit

教授鳥取大学 · 工学部

dynamic user equilibriumroute choicecorridor networks鳥取県

Adjacent direction

Topics

Questions you could start from

Compare three researchable framings by subject, method, and data needs.

Disrupted-road delivery

Under road disruption and higher demand, can rolling re-optimization improve service continuity for small urban last-mile delivery over a fixed pre-disaster route?

Temporary delivery sites

In a public or synthetic flood road-closure scenario, how does the location of a temporary delivery point change community service coverage?

Delivery-actor coordination

When couriers and demand points update under simple rules, does multi-agent simulation change the comparison between rolling re-optimization and fixed routes?

Recent research themesKAKEN projects from the past five years

全球および領域統合モデルを用いた極端沿岸災害の確率情報と可能最大強度の計量化

7 professors with related projects

多様な発生形態を有する南海トラフ地震に対応可能なライフライン防災に関する研究

3 professors with related projects

高齢化する防災構造物の安全性評価に関する高信頼性・超高速計算システムの構築

3 professors with related projects

高度な地図情報と気象情報によるデジタルツインを用いた普及型ＺＥＢ，ＺＥＨ研究

3 professors with related projects

過疎地域公共交通の統合的ビジネスモデルの構築に関する研究

5 professors with related projects

戦略と戦術を往来するアジャイル（応答）型都市デザインマネジメント手法の構築

4 professors with related projects

Advice

What to do next

Check the question, professors, and method once each. Then decide whether to move into formal matching and outreach.

Do these three things first

Today

Turn one question into a one-page brief

This week

Check the brief against two professors

Before outreach

Run one small test before going deeper

When you want the tools to continue

Evidence

Evidence used in this in-depth analysis

This records which of your materials shaped the report and which methods, professors, publications, and funded topics were actually retrieved.

Why this report is yours

Used for: This material decides which direction the report works on and informs the whole run; it is not tied to a single section.

[02]Sec. A · MethodsAdditional intent: The student majors in logistics management and plans to apply to a master's program in Japan.

Used for: Field foundations and representative sub-field methods stay visible, with a separate group connected to your current interest.

[03]Sec. B · DistanceTarget degree: Master's

Used for: The pre-enrollment checklist and transition path are built around your target degree.

[04]Sec. C · SchoolsUndergraduate major confirmed now: Logistics management

Used for: Shows each school's professor count and share within the broad field to map the research ecosystem, not personal fit or admission odds.

[05]Sec. D · FacultyUndergraduate major confirmed now: Logistics management

Used for: Professors are retrieved within the chosen direction, then explanations and structured signals are reconciled into direct, adjacent, or exploratory layers.

[06]Sec. E · TopicsField-level public method signals

Used for: Topic hypotheses combine public methods after the professor search, so you can compare and narrow the research question.

Reference evidence index · 95 retrieved items used in this analysis · Methods (Sec. A) 18 · Professors (Sec. D) 15 · Publications (Sec. D) 45 · KAKEN topics (Sec. E) 17

View all reference evidence (95 items)

[01]Methods (Sec. A)Statistical quality control · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[02]Methods (Sec. A)Nonlinear elasto-plastic analysis · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[03]Methods (Sec. A)Urban morphological analysis · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[04]Methods (Sec. A)Building environmental digital twins and data assimilation · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[05]Methods (Sec. A)Mathematical optimization · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[06]Methods (Sec. A)Resilience assessment · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[07]Methods (Sec. A)Deep learning · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[08]Methods (Sec. A)Neural networks · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[09]Methods (Sec. A)Molecular dynamics · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[10]Methods (Sec. A)Regression analysis · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[11]Methods (Sec. A)Sim-to-real transfer · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[12]Methods (Sec. A)Monte Carlo tree search · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[13]Methods (Sec. A)Financial statement analysis · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[14]Methods (Sec. A)Business model analysis · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[15]Methods (Sec. A)Firm valuation · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[16]Methods (Sec. A)Applied time-series analysis · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[17]Methods (Sec. A)Trade-area analysis · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[18]Methods (Sec. A)Agent-based simulation · This historical snapshot did not retain a verifiable source locator

Supports: Sec. A · Methods

[19]Professors (Sec. D)高瀬達夫 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[20]Professors (Sec. D)大竹雄 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[21]Professors (Sec. D)中尾聡史 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[22]Professors (Sec. D)本間基寛 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[23]Professors (Sec. D)長江剛志 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[24]Professors (Sec. D)天野憲樹 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[25]Professors (Sec. D)小林稔 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[26]Professors (Sec. D)伊藤学 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[27]Professors (Sec. D)伊藤泰雅 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[28]Professors (Sec. D)木村富也 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[29]Professors (Sec. D)長沢敬祐 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[30]Professors (Sec. D)西山徹二 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[31]Professors (Sec. D)二宮麻里 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[32]Professors (Sec. D)永田清 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[33]Professors (Sec. D)佐藤信彦 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[34]Publications (Sec. D)脳波を用いた地域の基本的景観と音の相互作用評価 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[35]Publications (Sec. D)無信号の食い違い二段階横断施設による利用者挙動と意識に関する研究 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[36]Publications (Sec. D)長野県における地方鉄道の価値を考慮した路線存続に関する研究 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[37]Publications (Sec. D)Optimal Sampling Placement in a Gaussian Random Field Based on Value of Informat · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

Supports: Sec. D · Faculty reasons

[39]Publications (Sec. D)Challenges in geotechnical design revealed by reliability assessment: Review and · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[40]Publications (Sec. D)Traffic accident severity analysis focused on negative atmospheric pressure chan · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[41]Publications (Sec. D)Markovian analysis of tourist tours based on travel app data from Kyoto, Japan ( · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

Supports: Sec. D · Faculty reasons

[43]Publications (Sec. D)Development Of Climate Change Information Database And Its Use In Civic Consciou · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[44]Publications (Sec. D)長良川におけるアユの遡上と水温の関係について · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[45]Publications (Sec. D)リアルタイム津波波形データを活用した津波減衰予測手法の開発と検証 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[46]Publications (Sec. D)舗装マネジメント費用の巨視的性質と道路ネットワークの長期補修施策 (2026) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[47]Publications (Sec. D)連続主体ポテンシャル・ゲームの確率的進化動学と定常分布推定方法 (2020) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

Supports: Sec. D · Faculty reasons

[49]Publications (Sec. D)Glicth Art based on Digital Games Proc. of 12th International Conference on Digi · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[50]Publications (Sec. D)A Stage Performance that Combines Live Coding for Stage Lights and DAW-based Mus · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[51]Publications (Sec. D)Toward the Realization of Multi-colored Switching Animation Using Light · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[52]Publications (Sec. D)2025 年 8 月 (2025) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[53]Publications (Sec. D)Proceedings of The 2025 Asian Conference of Management Science and Applications · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[54]Publications (Sec. D)2025 年 12 月 (2025) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[55]Publications (Sec. D)A Video Metadata Application and Its Verification Test Using MPEG-7 Description · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[56]Publications (Sec. D)Development of Content Retrieval Application using MPEG-7 for Archive Video Mate · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[57]Publications (Sec. D)Examination of Image Retrieval System Using Subjective Image Information · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[58]Publications (Sec. D)情報リテラシー入門（共著）2025 年 3 月 31 日（学内テキスト） (2025) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

Supports: Sec. D · Faculty reasons

[60]Publications (Sec. D)Microsoft Office 2021 テキスト（共著）2023 年 3 月 31 日日経 BP (2023) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[61]Publications (Sec. D)2025 年度経営システム工学特論 (2025) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[62]Publications (Sec. D)2025 年度情報システム論 (2025) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[63]Publications (Sec. D)2025 年度情報マネジメント基礎演習Ⅱ (2025) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[64]Publications (Sec. D)Designing global supply chain network under carbon border adjustment mechanism f · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[65]Publications (Sec. D)Utilization of Free Trade Agreements to Minimize Costs and Carbon Emissions in t · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[66]Publications (Sec. D)Design of a robust closed-loop supply chain with backup suppliers under disrupti · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[67]Publications (Sec. D)著書：なし · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[68]Publications (Sec. D)研究テーマ：将来キャッシュ･フローを用いた会計測定 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

Supports: Sec. D · Faculty reasons

[70]Publications (Sec. D)2024 年 03 月 (2024) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[71]Publications (Sec. D)info:doi/10.24544/omu.20230313-004 (2023) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[72]Publications (Sec. D)2023 Regional Studies Association Annual Conference, Ljublijana (2023) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[73]Publications (Sec. D)論文 Ontology-based System for Generating Information Security Policy Athens Insti · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[74]Publications (Sec. D)論文 Data Science Education in Japan -History and Current Status- Proceedings of t · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[75]Publications (Sec. D)著書 Establishing Information Security Policy as an Organizational Risk Management · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[76]Publications (Sec. D)会計研究の挑戦 (2020) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[77]Publications (Sec. D)中小企業会計の多様性 (2019) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

[78]Publications (Sec. D)会計制度のパラダイムシフト (2019) · This historical snapshot did not retain a verifiable source locator

Supports: Sec. D · Faculty reasons

Supports: Sec. E · Topics

Supports: Sec. E · Topics

Supports: Sec. E · Topics

Supports: Sec. E · Topics

[83]KAKEN topics (Sec. E)過疎地域公共交通の統合的ビジネスモデルの構築に関する研究 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

Supports: Sec. E · Topics

[85]KAKEN topics (Sec. E)エッジ AI 時代の超低演算量・低容量化を実現する汎用深層学習理論の構築 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[86]KAKEN topics (Sec. E)機械学習ベースの情報アクセスシステムにおける精査可能性に関する研究 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[87]KAKEN topics (Sec. E)MaaS のラストマイル移動支援にむけた移動情報利活用基盤 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[88]KAKEN topics (Sec. E)研究データリポジトリの構築に向けた学術論文テキストの解析と利用 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[89]KAKEN topics (Sec. E)機械学習による情報の意味獲得と意味類似情報の検索・生成 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[90]KAKEN topics (Sec. E)理論的に計算不能・計算困難なクラスの可解領域の研究 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

Supports: Sec. E · Topics

Supports: Sec. E · Topics

Supports: Sec. E · Topics

[94]KAKEN topics (Sec. E)組織学習のエコロジーと組織インテリジェンスに関する理論的・実証的研究 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

[95]KAKEN topics (Sec. E)非財務開示情報に対する監査・保証の枠組みに関する研究 · This historical snapshot did not retain a verifiable source locator

Supports: Sec. E · Topics

Next step

Next, map directions from my own profile

Enter your major, topics, and preferred methods to compare directions for your own case.

Start my direction

Civil engineering, architecture, and disaster prevention

Primary · Civil engineering, architecture, and disaster prevention

Alternative · Informatics and computer science

Hold · Management, commerce, and accounting

Field foundationsStart with the toolkit commonly used across this field.

Statistical quality control

Nonlinear elasto-plastic analysis

Representative sub-field methodsUse these to scan adjacent sub-fields before narrowing too early.

Urban morphological analysis

Building environmental digital twins and data assimilation

Connected to your interestThese have lexical or method evidence connecting to your current interest, without fixing the final question.

Mathematical optimization

Resilience assessment

Before enrollment · start now

After enrollment · you'll learn

Top and highly selectiveFormer Imperial · top national · Sokei-Jori3 shown · 373 professors

京都大学

東北大学

東京大学

Upper-tier groupsKaneoka-Chihiro · 5S national · GMARCH · Kankan-Doritsu2 shown · 127 professors

信州大学

関西大学

Regional public universitiesRegional national · specialist national · public1 shown · 109 professors

東京都立大学

Mid-tier private groupsNitto-Komasen · Sankin-Koryu · regional private2 shown · 197 professors

日本大学

芝浦工業大学

Other university leadsMedical and specialist private · local private · other1 shown · 39 professors

広島工業大学

Directly relatedThis means the research topic connects to your stated intent — not a recommendation strength or admission odds. Read the caveats in each explanation too.3

Expanded search · adjacent directionsWhen exact supply is thin, this expands to nearby topics or transferable methods. These are not exact matches.2

Under road disruption and higher demand, can rolling re-optimization improve service continuity for small urban last-mile delivery over a fixed pre-disaster route?

In a public or synthetic flood road-closure scenario, how does the location of a temporary delivery point change community service coverage?

When couriers and demand points update under simple rules, does multi-agent simulation change the comparison between rolling re-optimization and fixed routes?

Recent research themesKAKEN projects from the past five years

全球および領域統合モデルを用いた極端沿岸災害の確率情報と可能最大強度の計量化

多様な発生形態を有する南海トラフ地震に対応可能なライフライン防災に関する研究

高齢化する防災構造物の安全性評価に関する高信頼性・超高速計算システムの構築

高度な地図情報と気象情報によるデジタルツインを用いた普及型ＺＥＢ，ＺＥＨ研究

過疎地域公共交通の統合的ビジネスモデルの構築に関する研究

戦略と戦術を往来するアジャイル（応答）型都市デザインマネジメント手法の構築

Do these three things first

Turn one question into a one-page brief

Check the brief against two professors

Run one small test before going deeper

When you want the tools to continue

Why this report is yours

Next, map directions from my own profile

Civil engineering, architecture, and disaster prevention

Primary · Civil engineering, architecture, and disaster prevention

Alternative · Informatics and computer science

Hold · Management, commerce, and accounting

Field foundationsStart with the toolkit commonly used across this field.

Statistical quality control

Nonlinear elasto-plastic analysis

Representative sub-field methodsUse these to scan adjacent sub-fields before narrowing too early.

Urban morphological analysis

Building environmental digital twins and data assimilation

Connected to your interestThese have lexical or method evidence connecting to your current interest, without fixing the final question.

Mathematical optimization

Resilience assessment

Before enrollment · start now

After enrollment · you'll learn

Top and highly selectiveFormer Imperial · top national · Sokei-Jori3 shown · 373 professors

京都大学

東北大学

東京大学

Upper-tier groupsKaneoka-Chihiro · 5S national · GMARCH · Kankan-Doritsu2 shown · 127 professors

信州大学

関西大学

Regional public universitiesRegional national · specialist national · public1 shown · 109 professors

東京都立大学

Mid-tier private groupsNitto-Komasen · Sankin-Koryu · regional private2 shown · 197 professors

日本大学

芝浦工業大学

Other university leadsMedical and specialist private · local private · other1 shown · 39 professors

広島工業大学

Directly relatedThis means the research topic connects to your stated intent — not a recommendation strength or admission odds. Read the caveats in each explanation too.3

Expanded search · adjacent directionsWhen exact supply is thin, this expands to nearby topics or transferable methods. These are not exact matches.2

Under road disruption and higher demand, can rolling re-optimization improve service continuity for small urban last-mile delivery over a fixed pre-disaster route?