Kensuke Suzuki

Kensuke Suzuki

Project researcher

Short C.V.

  • 2025–

    Project Researcher, The University of Tokyo

  • 2023–2024

    Guest researcher, Lund University

  • 2021–2025

    PhD in Chemical Engineering, Nagoya University

  • 2019–2021

    Master of Engineering in Chemical Engineering, Nagoya University

  • 2015–2019

    Bachelor of Engineering in Chemical Engineering, Nagoya University

Mail
k-suzuki@pse.t.u-tokyo.ac.jp
TEL
26876 (Add the last 4 digits to +81-3-5841.)

Publication

  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)

Conference proceedings (peer reviewed)

  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)

Conferences (at a different lab)

  1. K. Suzuki, T. Yajima, Y. Kawajiri "Robust Process Design Using Bayesian Statistics — Application to Simulated Moving Bed Chromatography —", Oral, Society of Chemical Engineers, Japan (SCEJ) 56th Autumn Meeting, 16-18 September 2025, Shibaura Institute of Technology, Tokyo
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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

Conferences (at a different lab, as a co-author)

  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