Kawajiri Yoshiaki 川尻喜章

Researcher Number	20811087
Other IDs
Affiliation (Current)	2025: 名古屋大学, 工学研究科, 教授
Affiliation (based on the past Project Information) *help	2025: 名古屋大学, 工学研究科, 教授 2018 – 2023: 名古屋大学, 工学研究科, 教授
Review Section/Research Field	Principal Investigator Basic Section 27020:Chemical reaction and process system engineering-related
Keywords	Principal Investigator 分離プロセス / 化学工学 / 統計 / ベイズ推定 / 吸着 / クロマトグラフィー / プロセスモデリング / ニューラルネットワーク / 人工知能 / 化学プロセス設計 … More / 吸着分離 / 二酸化炭素 / 化学プロセスモデリング / モデリング / プロセス強化 / 反応分離 / データサイエンス / 逐次モンテカルロ法 Less

Research Projects
(3 results)
Research Products
(34 results)

Artificial Intelligence for Automating Chemical Process Development: Demonstration for Simulated Moving Bed ChromatographyPrincipal Investigator
- Principal Investigator
  
  川尻喜章
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 27020:Chemical reaction and process system engineering-related
- Research Institution
  Nagoya University
ベイズ推定・実験計画による化学プロセスモデリングと二酸化炭素吸着分離での実証Principal Investigator
- Principal Investigator
  
  川尻喜章
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 27020:Chemical reaction and process system engineering-related
- Research Institution
  Nagoya University
Process intensification utilizing data science techniques: modeling reactive chromatographyPrincipal Investigator
- Principal Investigator
  
  Kawajiri Yoshiaki
- Project Period (FY)
  2018 – 2020
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 27020:Chemical reaction and process system engineering-related
- Research Institution
  Nagoya University

All 2024 2023 2022 2021 2020 2019 2018

All Journal Article Presentation

[Journal Article] Parameter estimation for reactive chromatography model by Bayesian inference and parallel sequential Monte Carlo2024
- Author(s)
  Sugiyama Hikari、Yamamoto Yota、Suzuki Kensuke、Yajima Tomoyuki、Kawajiri Yoshiaki
- Journal Title
  
  Chemical Engineering Research and Design
  
  Volume: 203 Pages: 378-390
- DOI
  10.1016/j.cherd.2024.01.056
- Data Source
  KAKENHI-PROJECT-21H01703
[Journal Article] Estimation and statistical analysis of model parameters using sequential Monte Carlo for phenol and p-cresol separation2023
- Author(s)
  Yuan Ziting、Yamamoto Yota、Yajima Tomoyuki、Kawajiri Yoshiaki
- Journal Title
  
  Journal of Chromatography A
  
  Volume: 1688 Pages: 463703-463703
- DOI
  10.1016/j.chroma.2022.463703
- Data Source
  KAKENHI-PROJECT-21H01703
[Journal Article] Mapping adsorbent properties to optimal process performance of two-bed temperature swing adsorption by superstructure optimization2023
- Author(s)
  Sugiura Yuchi、Yajima Tomoyuki、Kawajiri Yoshiaki
- Journal Title
  
  Chemical Engineering and Processing - Process Intensification
  
  Volume: 191 Pages: 109438-109438
- DOI
  10.1016/j.cep.2023.109438
- Data Source
  KAKENHI-PROJECT-21H01703
[Journal Article] Uncertainty quantification for chromatography model parameters by Bayesian inference using sequential Monte Carlo method2021
- Author(s)
  Yamamoto Yota、Yajima Tomoyuki、Kawajiri Yoshiaki
- Journal Title
  
  Chemical Engineering Research and Design
  
  Volume: 175 Pages: 223-237
- DOI
  10.1016/j.cherd.2021.09.003
- Data Source
  KAKENHI-PROJECT-18H01776
[Journal Article] Bayesian design of experiments for adsorption isotherm modeling2020
- Author(s)
  Kalyanaraman Jayashree、Kawajiri Yoshiaki、Realff Matthew J.
- Journal Title
  
  Computers & Chemical Engineering
  
  Volume: 135 Pages: 106774-106774
- DOI
  10.1016/j.compchemeng.2020.106774
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01776
[Journal Article] Model-based optimization strategies for chromatographic processes: a review2020
- Author(s)
  Kawajiri Yoshiaki
- Journal Title
  
  Adsorption
  
  Volume: 27 Issue: 1 Pages: 1-26
- DOI
  10.1007/s10450-020-00251-2
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18H01776
[Journal Article] Hierarchical Bayesian estimation for adsorption isotherm parameter determination2020
- Author(s)
  Shih Chunkai、Park Jongwoo、Sholl David S.、Realff Matthew J.、Yajima Tomoyuki、Kawajiri Yoshiaki
- Journal Title
  
  Chemical Engineering Science
  
  Volume: 214 Pages: 115435-115435
- DOI
  10.1016/j.ces.2019.115435
- Data Source
  KAKENHI-PROJECT-18H01776
[Journal Article] How Well Do Approximate Models of Adsorption-Based CO2 Capture Processes Predict Results of Detailed Process Models?2019
- Author(s)
  Park Jongwoo、Rubiera Landa Hector Octavio、Kawajiri Yoshiaki、Realff Matthew J.、Lively Ryan P.、Sholl David S.
- Journal Title
  
  Industrial & Engineering Chemistry Research
  
  Volume: 59 Issue: 15 Pages: 7097-7108
- DOI
  10.1021/acs.iecr.9b05363
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01776
[Journal Article] Design for dynamic operation - A review and new perspectives for a dynamic manufacturing environment2018
- Author(s)
  C. L. E. Swartz Y. Kawajiri
- Journal Title
  
  Computer Aided Chemical Engineering: Proceedings of International Symposium on Process Systems Engineering
  
  Volume: 44 Pages: 43-52
- DOI
  10.1016/b978-0-444-64241-7.50005-7
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01776
[Presentation] Estimation and Statistical Analysis of Model Parameters Using Sequential Monte Carlo for Stepwise Injection Experiment for Preparative Chromatography2023
- Author(s)
  Yuan Ziting, Yota Yamamoto, Kensuke Suzuki, Tomoyuki Yajima, Yoshiaki Kawajiri
- Organizer
  AIChE Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01703
[Presentation] Comprehensive Quantification of Model Prediction Uncertainty for Simulated Moving Bed Chromatography2022
- Author(s)
  Kensuke Suzuki, Tomoyuki Yajima, Yoshiaki Kawajiri
- Organizer
  14th International Symposium on Process Systems Engineering
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01703
[Presentation] 逐次モンテカルロ法を用いたベイズ推定によるクロマトグラフィー分離モデルパラメータの不確実性定量化2022
- Author(s)
  矢嶌智之, 山本陽多, 川尻喜章
- Organizer
  2022年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-21H01703
[Presentation] Evaluation of Adsorbent Performance By Optimal Temperature Swing Adsorption Process2022
- Author(s)
  Yuchi Sugiura, Tomoyuki Yajima, Yoshiaki Kawajiri
- Organizer
  AIChE Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01703
[Presentation] Parameter Estimation for Reactive Chromatography Model by Bayesian Inference and Parallel Sequential Monte Carlo2022
- Author(s)
  Hikari Sugiyama, Yota Yamamoto, Kensuke Suzuki, Tomoyuki Yajima, Yoshiaki Kawajiri
- Organizer
  AIChE Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01703
[Presentation] Robustness Analysis by Predictive Distribution for Various Operating Configurations for Simulated Moving Bed Chromatography2022
- Author(s)
  Kensuke Suzuki, Tomoyuki Yajima, Yoshiaki Kawajiri
- Organizer
  18th International Symposium on Preparative and Industrial Chromatography and Allied Techniques (SPICA)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01703
[Presentation] Parameter Estimation of Chromatography By Bayesian Inference Using Two Monte Carlo Methods2021
- Author(s)
  Ziting Yuan, Yota Yamamoto, Tomoyuki Yajima, and Yoshiaki Kawajiri
- Organizer
  AIChE Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01703
[Presentation] Quantification of Variations in Experimental and Molecular Simulation Data for CO2 Adsorption Isotherm By Hierarchical Bayesian Estimation.2021
- Author(s)
  Sotaro Kojima Jongwoo Park Matthew Realff David Sholl Tomoyuki Yajima Junpei Fujiki Yoshiaki Kawajiri
- Organizer
  AIChE Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01776
[Presentation] ベイズ推定による反応クロマトグラフィープロセスモデルのパラメータ推定2021
- Author(s)
  杉山　輝山本　陽多，矢嶌　智之，川尻　喜章
- Organizer
  新化学技術推進協会　グリーン・サステイナブルケミストリーシンポジウム
- Data Source
  KAKENHI-PROJECT-18H01776
[Presentation] Bayesian approaches for adsorption isotherm and process modeling2021
- Author(s)
  Yoshiaki Kawajiri
- Organizer
  International Adsorption Society Online Webinar Series
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01776
[Presentation] 化学プロセス開発におけるデータ活用技術2021
- Author(s)
  川尻喜章
- Organizer
  INCHEM Tokyo
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01776
[Presentation] Parameter Estimation of Chromatography By Bayesian Inference Using Two Monte Carlo Methods2021
- Author(s)
  Ziting Yuan Yota Yamamoto Tomoyuki Yajima Yoshiaki Kawajiri
- Organizer
  AIChE Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01776
[Presentation] Uncertainty propagation from batch experiment parameters towards prediction of continuous chromatographic process2021
- Author(s)
  Kensuke Suzuki, Yota Yamamoto, Tomoyuki Yajima, Yoshiaki Kawajiri
- Organizer
  AIChE Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01703
[Presentation] 疑似移動層クロマトグラフィ分離プロセスのsuperstructureを用いたモデリングと運転最適化2021
- Author(s)
  関下紘介鈴木健介矢嶌智之川尻喜章
- Organizer
  化学工学会第52回秋季大会
- Data Source
  KAKENHI-PROJECT-18H01776
[Presentation] Modeling of nucleation, growth, and dissolution kinetics of paracetamol from ethanol solution for unseeded batch cooling crystallization with temperature cycling strategy2020
- Author(s)
  Youngjo Kim Ronald Rousseau Yoshiaki Kawajiri Martha Grover
- Organizer
  AIChE Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01776
[Presentation] Uncertainty Quantification for Estimating Molecular Weight Distribution by Gel Permeation Chromatography2020
- Author(s)
  Kosuke Wakita Tomoyuki Yajima Yoshiaki Kawajiri
- Organizer
  Asian Symposium on Process Systems Engineering (PSE Asia)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01776
[Presentation] Bayesian approaches for chemical process modeling2020
- Author(s)
  Yoshiaki Kawajiri
- Organizer
  Asian Symposium on Process Systems Engineering (PSE Asia)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01776
[Presentation] Parameter Estimation by Bayesian Inference Using Monte Carlo Sampling for Liquid Chromatography Process Model2020
- Author(s)
  Yota Yamamoto Tomoyuki Yajima Yoshiaki Kawajiri
- Organizer
  Asian Symposium on Process Systems Engineering (PSE Asia)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01776
[Presentation] Bayesian Approach for Adsorption Process Modeling2019
- Author(s)
  Y. Isobe Y. Yamamoto K. Suzuki T. Yajima Y. Kawajiri
- Organizer
  Fundamentals of Adsorption
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01776
[Presentation] データサイエンス手法を援用した化学プロセス開発の新展開2018
- Author(s)
  川尻喜章
- Organizer
  インフォマティクスと連携したモノづくりと計測技術日本金属学会東海支部・日本鉄鋼協会東海支部学術討論会
- Invited
- Data Source
  KAKENHI-PROJECT-18H01776
[Presentation] 擬似移動層クロマトグラフィー分離装置における運転データからのモデルパラメータ推定2018
- Author(s)
  原田秀喜佐藤康平岡田一夫鶴田正樹矢嶌智之川尻喜章
- Organizer
  化学工学会第50回秋季大会
- Data Source
  KAKENHI-PROJECT-18H01776
[Presentation] マルコフ連鎖モンテカルロ(MCMC)法を用いた吸着プロセスのパラメータ推定2018
- Author(s)
  磯部祐輝矢嶌智之川尻喜章
- Organizer
  化学工学会第50回秋季大会
- Data Source
  KAKENHI-PROJECT-18H01776
[Presentation] データ科学手法を援用したプロセス開発2018
- Author(s)
  川尻喜章
- Organizer
  スマートエンジニアリングTOKYO 産学官マッチングフォーラム
- Invited
- Data Source
  KAKENHI-PROJECT-18H01776
[Presentation] Hierarchical Bayesian Estimation for Adsorption Isotherm Parameter Determination and Applications to CO2 Capture2018
- Author(s)
  C. Shii J. Park D. Sholl M. Realff T. Yajima Y. Kawajiri
- Organizer
  AIChE Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01776
[Presentation] 化学プロセス開発におけるデータ活用2018
- Author(s)
  川尻喜章
- Organizer
  材料バックキャストテクノロジーシンポジウム: 未来を拓くものづくり
- Invited
- Data Source
  KAKENHI-PROJECT-18H01776

Kawajiri Yoshiaki 川尻 喜章

Research Projects

Research Products

Artificial Intelligence for Automating Chemical Process Development: Demonstration for Simulated Moving Bed ChromatographyPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

ベイズ推定・実験計画による化学プロセスモデリングと二酸化炭素吸着分離での実証Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Process intensification utilizing data science techniques: modeling reactive chromatographyPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Parameter estimation for reactive chromatography model by Bayesian inference and parallel sequential Monte Carlo2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Estimation and statistical analysis of model parameters using sequential Monte Carlo for phenol and p-cresol separation2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Mapping adsorbent properties to optimal process performance of two-bed temperature swing adsorption by superstructure optimization2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Uncertainty quantification for chromatography model parameters by Bayesian inference using sequential Monte Carlo method2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Bayesian design of experiments for adsorption isotherm modeling2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Model-based optimization strategies for chromatographic processes: a review2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Hierarchical Bayesian estimation for adsorption isotherm parameter determination2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] How Well Do Approximate Models of Adsorption-Based CO2 Capture Processes Predict Results of Detailed Process Models?2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Design for dynamic operation - A review and new perspectives for a dynamic manufacturing environment2018

Author(s)

Journal Title

DOI

Data Source

[Presentation] Estimation and Statistical Analysis of Model Parameters Using Sequential Monte Carlo for Stepwise Injection Experiment for Preparative Chromatography2023

Author(s)

Organizer

Data Source

[Presentation] Comprehensive Quantification of Model Prediction Uncertainty for Simulated Moving Bed Chromatography2022

Author(s)

Organizer

Data Source

[Presentation] 逐次モンテカルロ法を用いたベイズ推定によるクロマトグラフィー分離モデルパラメータの不確実性定量化2022

Author(s)

Organizer

Data Source

[Presentation] Evaluation of Adsorbent Performance By Optimal Temperature Swing Adsorption Process2022

Author(s)

Kawajiri Yoshiaki 川尻喜章

[Presentation] ベイズ推定による反応クロマトグラフィープロセスモデルのパラメータ推定2021