Thossaporn Wijakmatee, Ph.D.
อ.ดร. ทศพร วิจักษณ์เมธี

thossaporn.w@chula.ac.th

Thossaporn Wijakmatee, PhD

Lecturer
  • A Lecturer in The Petroleum and Petrochemical College since May 2026.
  • Experienced in both experimental and computational chemical process design (process simulation, molecular simulation, machine learning), with expertise in optimizing energy efficiency in reaction, separation and purification systems through biomass valorization and CO2 technologies for biofuel and particle production.
  • Skilled in education and research, with experience teaching and organizing in three major academic institutions: KMUTNB, Science Tokyo (previously Tokyo Tech), and RWTH Aachen.

Education

Year Degree University
2021 – 2024 Doctor of Engineering
in Chemical Science and Engineering
Tokyo Institute of Technology, Japan
2019 – 2021 Master of Engineering
in Chemical Science and Engineering
Tokyo Institute of Technology, Japan
2015 – 2019 Bachelor of Engineering
in Chemical Engineering
King Mongkut’s University of Technology North Bangkok, Thailand

Research Experience & Internships

Year Position / Research Institution
May 2026 – present Lecturer: Multi-scale chemical systems engineering and sustainable technology
(Molecular simulations, Process simulations, Materials processing,
Sustainable energy and environmental technologies)
PPC, Chula, Thailand
Apr 2025 – Apr 2026 Assistant Professor: Chemical process design and optimization
using molecular informatics and machine learning
Matsumoto Lab,
Science Tokyo, Japan
Oct 2024 – Mar 2025 Postdoctoral research fellow: Development of process and material designs
for carbon capture from waste bio-materials in chemical manufacturing
Shimoyama Lab,
Science Tokyo, Japan
Jul 2023 – Sep 2024 Doctoral students exchange program:
Design of the Bio-Nano building blocks as reversible interfaces
for advanced bioelectronics
IWE1, RWTH Aachen, Germany
Oct 2021 – Sep 2024 Doctoral dissertation:
Green processing of surface modification and extraction
for biomedical nanoparticle productions
Shimoyama Lab,
Tokyo Tech, Japan
Oct 2019 – Sep 2021 Master’s dissertation:
Micro-flow process of emulsification and supercritical fluid extraction
of emulsion for formation of lipid nanoparticles
Shimoyama Lab,
Tokyo Tech, Japan
May 2018 – Aug 2018 Internship:
Process design of oil-gas separation with cost estimation
for petroleum production
PTTEP, Thailand
Aug 2018 – May 2019 Bachelor’s thesis:
Design of a microscale integrated module of reaction and separation
for biodiesel production
Prapainainar’s group,
KMUTNB, Thailand

    Journal Publications

    No. Publications
    1 K. Cheenkachorn, S. M. Holmes, C. Prapainainar, T. Wijakmatee.
    An interpretable and streamlined machine learning framework for simultaneous prediction
    of polarization curves and maximum power density in direct methanol fuel cells.
    Energy & Fuels. 2026.
    2 E. R. Alphonsus, M. O. Abdullah, A. M.A. Haidar, A. Chanik, I. Yakub,
    T. Wijakmatee, H. Matsumoto.
    Development and validation of an integrated analog control system for a 30W PEM fuel cell
    powered by a 100W H2 generator.
    Int. J. Hydrog. Energy. 2026, 222, No. 154311.
    3 J. Liu, T. Wijakmatee, H. Matsumoto, T. Tago, M. Ogura.
    SVGD-HMC hybrid inference for microkinetic modeling of novel NOx adsorption process.
    J. Jpn. Pet. Inst. 2026, 69, 118 – 132.
    4 K. Takeshita, T. Wijakmatee, H. Matsumoto, S. Yoshikawa, T. Saito.
    Quantitative mapping of catalyst ink rheological regimes governing agglomerate
    structural dynamics in a shear flow field.
    Colloids Surf. A: Physicochem. Eng. Asp. 2026, 738, No. 139952.
    5 K. Cheenkachorn, T. Pongprayoon, M. Seneewong-Na-Ayutthaya, T. Wijakmatee.
    Design of cementitious composites with surface-modified carbon nanotubes through
    multi-scale experiment and machine learning framework.
    Appl. Mater. Today. 2026, 48, No. 103026.
    6 T. Wijakmatee, H. Matsumoto.
    Physics-informed COSMO-SAC-machine learning framework for predicting ammonia solubility
    in choline chloride-based deep eutectic solvents.
    Sep. Purif. Technol. 2026, 381, No. 135561.
    7 K. Cheenkachorn, C. Prapainainar, T. Wijakmatee.
    Machine learning-driven modeling of biomass pyrolysis product distribution
    through thermal parameter sensitivity.
    Renew. Energy. 2025, 248, No. 123108.
    8 T. Wijakmatee, Y. Shimoyama, Y. Orita.
    Enhanced extraction of surface-modified iron oxide nanoparticles using
    supercritical carbon dioxide.
    Sep. Purif. Technol. 2025, 354, No. 129067.
    9 D. Khan, T. Wijakmatee, A. Sriram, A. Nikookhesal, E. Weinhold,
    Y. Shimoyama, V. Pachauri, S. Ingebrandt.
    Modular multi-parametric and portable readout system for point-of-care applications.
    Advanced Sensor Research. 2025, 4, No. 2400105.
    10 Y. Orita, K. Ikeda, A. Muronosono, T. Wijakmatee, T. Kataoka, Y. Shimoyama.
    Rate-controlled washing of surface modified nanoparticles using rationally designed
    supercritical CO2 media.
    Langmuir 2024, 40, 24771 – 24780.
    11 S. Sukpancharoen, T. Wijakmatee, T. Katongtung, K. Ponhan,
    N. Rattanachoung, S. Khojitmate.
    Data-driven prediction of electrospun nanofiber diameter using machine learning:
    A comprehensive study and web-based tool development.
    Results Eng. 2024, 24, No. 102826.
    12 P. Puprompan, T. Wijakmatee, Y. Shimoyama, Y. Orita.
    Flow synthesis of silver nanoparticles using water in supercritical CO2 emulsion.
    J. CO2 Util. 2024, 83, No. 102776.
    13 T. Wijakmatee, Y. Shimoyama, Y. Orita.
    Systematically designed surface and morphology of magnetite nanoparticles
    using monocarboxylic acid with various chain lengths under hydrothermal condition.
    Langmuir 2023, 39, 9253 – 9261.
    14 Y. Orita, K. Kariya, T. Wijakmatee, Y. Shimoyama.
    Formation mechanism of surface modified iron oxide nanoparticles using controlled
    hydrolysis reaction in supercritical CO2.
    Colloids Surf. A: Physicochem. Eng. Asp. 2023, 664, No. 131136.
    15 T. Wijakmatee, Y. Shimoyama, Y. Orita.
    Integrated micro-flow process of emulsification and supercritical fluid emulsion extraction
    for stearic acid nanoparticles production.
    Ind. Eng. Chem. Res. 2022, 61, 9274 – 9282.
    16 Y. Orita, K. Kariya, T. Wijakmatee, Y. Shimoyama.
    Synthesis of surface-modified iron oxide nanocrystals using supercritical carbon dioxide
    as the reaction field.
    RSC Adv. 2022, 22, 7990 – 7995.
    17 T. Wijakmatee, N. Hemra, S. Wongsakulphasatch,
    P. Narataruksa, K. Cheenkachorn, C. Prapainainar.
    Process intensification of biodiesel production with integrated microscale reactor
    and separator.
    Chem. Eng. Process.: Process Intensif. 2021, 164, No. 108422.

      Selected Presentations

      No. Conference Presentations
      1 T. Wijakmatee, H. Matsumoto.
      Modeling aqueous deep eutectic solvents via quantum chemistry-based COSMO-SAC
      and ensemble machine learning.
      Computational Modeling of Materials in Thailand,
      KMITL, Thailand, March 2026 (Lecture).
      2 T. Wijakmatee, R. Onozawa, H. Matsumoto.
      Integrated COSMO-SAC and physics-informed machine learning for deep eutectic solvent
      screening of NH3/CO2 separation.
      The Society of Chemical Engineers, Japan 91st Annual Meeting,
      Japan, March 2026 (Oral presentation).
      3 T. Wijakmatee, K. Takeshita, H. Matsumoto.
      COSMO-RS-based solvent screening for catalyst ink formulation used in polymer
      electrolyte fuel cell fabrication.
      The 68th Japan Joint Automatic Control Conference,
      Japan, November 2025 (Oral presentation).
      4 T. Wijakmatee.
      Interpretable machine learning and molecular informatics frameworks
      for chemical process development.
      The Society of Chemical Engineers, Japan 56th Autumn Meeting,
      Japan, September 2025 (Invited Lecture).
      5 T. Wijakmatee, Y. Orita, Y. Shimoyama.
      Supercritical CO2 extraction modeling of fatty acid-coated iron oxide nanoparticles
      from aqueous media using molecular informatics and machine learning.
      The Society of Chemical Engineers, Japan 90th Annual Meeting,
      Japan, March 2025 (Oral presentation).
      6 T. Wijakmatee, Y. Orita, Y. Shimoyama.
      Solubility parameters-driven machine learning for predicting monocarboxylic acid-modified
      nanoparticle extraction from water.
      10th International Symposium on Molecular Thermodynamics and Molecular Simulation,
      Japan, August 2024 (Poster presentation).
      7 T. Wijakmatee, Y. Orita, Y. Shimoyama.
      Prediction of surface-modified iron oxide nanoparticles extraction from reaction field
      using solubility parameters and machine learning.
      International Chemical Engineering Symposia,
      Japan, March 2023 (Oral presentation).
      8 T. Wijakmatee, Y. Orita, Y. Shimoyama.
      Extraction of monocarboxylic acid modified magnetite nanoparticles from water phase
      using hexane as organic solvent.
      11th International Conference on Fine Particles Magnetism,
      Japan, October 2022 (Poster presentation).
      9 T. Wijakmatee, Y. Orita, Y. Shimoyama.
      Fabrication of monocarboxylic acid-modified magnetite nanoparticles by hydrothermal synthesis.
      7th International Solvothermal and Hydrothermal Association Conference,
      Mexico, October 2021 (Oral presentation).
      10 T. Wijakmatee, Y. Orita, Y. Shimoyama.
      Micro-flow process of emulsification and supercritical fluid extraction of emulsion
      for stearic acid lipid nanoparticle production.
      9th International Symposium on Molecular Thermodynamics and Molecular Simulation,
      Japan, September 2021 (Poster presentation).
      11 T. Wijakmatee, N. Hemra, C. Prapainainar, P. Narataruksa.
      Microscale integrated unit of reaction and separation for biodiesel production:
      process simulation study.
      Energy Security and Chemical Engineering Congress 2019,
      Malaysia, July 2019 (Oral presentation).

      Selected Teaching Experience

      Year Position / Course Institution
      Apr 2026 – Apr 2026 Lecturer: Basic Chemical Engineering Science Tokyo, Japan
      Oct 2025 – Feb 2026 Lecturer: Process Engineering Experiment Science Tokyo, Japan
      Oct 2023 – Feb 2024 Teaching staff in charge: Micro- and Nanoelectronics Course RWTH Aachen, Germany
      Nov 2020 – Feb 2021 TA: Sustainable Engineering Technology Tokyo Tech, Japan
      Aug 2018 – Aug 2019 TA: Material and Energy Balance KMUTNB, Thailand
      Aug 2018 – Nov 2018 TA: Problem Based Learning I KMUTNB, Thailand

      Selected Awards & Honours

      Year Award / Scholarship Organization
      December 2025 Outstanding Presentation Award 68th Auto. Control, Japan
      October 2025 Young Investigator Researcher Award SIS, SCEJ, Japan
      August 2024 Student Presentation Award MTMS, Japan
      Jul 2023 – Dec 2023 AROP Fellowship RWTH Aachen, Germany
      October 2022 Poster Presentation Award & IEEE Award ICFPM, Japan
      September 2021 Student Presentation Award MTMS, Japan
      January 2021 Elsevier Reviewer Recognition Award International Journal of Hydrogen Energy
      Oct 2019 – Sep 2024 Japanese Government (MEXT) Scholarship Tokyo Tech, Japan
      May 2019 First Class Honours (Bachelor of Engineering) KMUTNB, Thailand
      March 2018 ThaiOil Group Scholarship ThaiOil, Thailand

      Selected Social Activities & Memberships

      Year Position / Membership Organization
      Jul 2023 – Dec 2023 Member of Thai Students’ Association in Germany TSVD, Germany
      May 2022 – Apr 2023 Vice-President of Thai Students’ Association in Japan under Royal Patronage TSAJ, Japan
      Jan 2021 – present Member of the Society of Chemical Engineers, Japan SCEJ, Japan
      Aug 2017 – Jul 2018 President of Academic Affairs, Student Union of Faculty of Engineering KMUTNB, Thailand