学術論文

1. Kensuke Suzuki, Tomoyuki Yajima, Yoshiaki Kawajiri
   "Process robustness evaluation for various operating configurations of multi-column chromatography processes with nonlinear isotherm"
   Chemical Engineering Science, 309, 121395 (2025)
2. Ziting Yuan, Kensuke Suzuki, Yota Yamamoto, Tomoyuki Yajima, Yoshiaki Kawajiri
   "Estimation and uncertainty quantification of solvent strength parameters in gradient elution of chromatography using sequential Monte Carlo method"
   Processes, 13, 114 (2025)
3. Hikari Sugiyama, Yota Yamamoto, Kensuke Suzuki, Tomoyuki Yajima, Yoshiaki Kawajiri
   "Parameter estimation for reactive chromatography model by Bayesian inference and parallel sequential Monte Carlo"
   Chemical Engineering Research and Design, 203, 378–390, (2024)
4. Hiroshi Kakiuchida, Kensuke Suzuki, Takuto Kojima
   "Using pretrained machine learning models to predict luminous and solar transmittance controllability of liquid crystal/polymer composites from microstructural images"
   Opt. Express, 31, 29954–29967 (2023)
5. Hideki Harada, Kensuke Suzuki, Kohei Sato, Kazuo Okada, Masaki Tsuruta, Tomoyuki Yajima, Yoshiaki Kawajiri
   "Process development for advanced simulated moving bed (ASMB) chromatography by parameter refinement using pilot plant experimental data"
   Separation and Purification Technology, 281, 119932 (2022)
6. Kensuke Suzuki, Hideki Harada, Kohei Sato, Kazuo Okada, Masaki Tsuruta, Tomoyuki Yajima, Yoshiaki Kawajiri
   "Utilization of operation data for parameter estimation of simulated moving bed chromatography"
   Journal of Advanced Manufacturing and Processing, 4, 1–18 (2021)

査読付きプロシーディングス

1. Kensuke Suzuki, Tomoyuki Yajima, Yoshiaki Kawajiri
   "Process Robustness Evaluation for Various Operating Configurations of Simulated Moving Bed Chromatography"
   34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process System Engineering, Elsevier, Computer Aided Chemical Engineering, 53, 229-234 (2024)
2. Kensuke Suzuki, Tomoyuki Yajima, Yoshiaki Kawajiri
   "Comprehensive Quantification of Model Prediction Uncertainty for Simulated Moving Bed Chromatography"
   14th International Symposium on Process System Engineering, Elsevier, Computer Aided Chemical Engineering, 49, 943-948 (2022)

学会発表

1. 鈴木健介, 矢嶌智之, 川尻喜章, "ベイズ統計によるロバストプロセスデザイン ― 擬似移動層クロマトグラフィーへの適用 ―", 口頭, 化学工学会 第56回秋季大会, 2025/9/16-18, 芝浦工業大学 豊洲キャンパス

学会発表(他研究室所属時)

1. K. Suzuki, T. Yajima, Y. Kawajiri "Discovering Robust Operation By Predictive Distribution For Simulated Moving Bed Chromatography With Nonlinear Isotherm", Oral, SPICA 2024, 15–18 October 2024, Milan, Italy
2. K. Suzuki, T. Yajima, Y. Kawajiri "Process Robustness Evaluation for Various Operating Configurations of Simulated Moving Bed Chromatography", Poster, ESCAPE34 - PSE24, 2–6 June 2024, Florence, Italy
3. K. Suzuki, T. Yajima, Y. Kawajiri "Process Robustness Analysis for Various Operation Modes of Simulated Moving Bed Chromatography", Poster, SoCSS 2024, 13–15 May 2024, Lund, Sweden
4. K. Suzuki, T. Yajima, Y. Kawajiri "Robustness Analysis by Predictive Distribution for Various Operating Configurations for Simulated Moving Bed Chromatography", Oral, SPICA 2022, 11–14 October 2022, Lisbon, Portugal
5. K. Suzuki, T. Yajima, Y. Kawajiri "Comprehensive Quantification of Model Prediction Uncertainty for Simulated Moving Bed Chromatography", Poster, PSE 2021+, 19–23 June 2022, Kyoto, Japan
6. K. Suzuki, T. Yajima, Y. Kawajiri "Uncertainty Propagation from Batch Experiment Parameters Towards Prediction of Continuous Chromatographic Process", Oral, AIChE Annual Meeting 2021, 15–19 November 2021, on virtual
7. K. Suzuki, et al "Parameter Estimation from Operation Data for Simulated Moving Bed Chromatography", Oral, AIChE Annual Meeting 2020, 15–19 November 2020, on virtual
8. K. Suzuki, et al "Parameter Estimation from Operation Data for Simulated Moving Bed Chromatography", Oral, Japan Society of Adsorption, 13–14 November 2019, Nagoya, Japan

学会発表(他研究室所属時、共著者として)

1. Z. Yuan, Y. Yamamoto, K. Suzuki, T. Yajima, and Y. Kawajiri "Estimation and Statistical Analysis of Model Parameters Using Sequential Monte Carlo for Stepwise Injection Experiment for Preparative Chromatography", Oral, AIChE Annual Meeting 2023, 5–10 November 2023, Orlando, FL, USA
2. H. Sugiyama, Y. Yamamoto, K. Suzuki, T. Yajima, and Y. Kawajiri "Parameter Estimation for Reactive Chromatography Model By Bayesian Inference and Parallel Sequential Monte Carlo", Oral, AIChE Annual Meeting 2022, 17 November 2022, Phoenix, AZ, USA
3. H. Harada, K. Suzuki, K. Sato, K. Okada, M. Tsuruta, T. Yajima, Y. Kawajiri "Comprehensive Quantification of Model Prediction Uncertainty for Simulated Moving Bed Chromatography", Poster, PSE 2021+, 19–23 June 2022, Kyoto, Japan

受賞

• SIS部会 研究奨励賞, 化学工学会第56回秋季大会, 2025年11月