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Jiahang Xi

Jiahang Xi

MSc student

(he/him)

Delft University of Technology

Jiahang Xi joined the Process Intelligence Research group for his MSc thesis in July 2022. His research interests include machine learning and computer vision, and his studies focused on combining chemical engineering and machine learning.

Interests
  • Chemical engineering
  • Machine learning
  • Computer vision
  • Process design
  • CFD
Education
  • MSc in Chemical Engineering, 2023

    Delft University of Technology

  • BSc in Chemical Engineering, 2021

    East China University of Science and Technology

Latest

  • Graph neural networks for soft sensors: Learning from process topology and operational data
  • Transferring Graph Neural Networks for Soft Sensor Modeling using Process Topologies
  • Accelerating process synthesis with reinforcement learning: Transfer learning from multi-fidelity simulations and variational autoencoders
  • Physics-informed neural networks and time-series transformer for modeling of chemical reactors
  • MachineLearnAthon: An Action-Oriented Machine Learning Didactic Concept
  • Digitization of chemical process flow diagrams using deep convolutional neural networks
  • Deterministic global optimization with Gaussian processes embedded
  • Designing production-optimal alternative fuels for conventional, flexible-fuel, and ultra-high efficiency engines
  • Multi-scale membrane process optimization with high-fidelity ion transport models through machine learning
  • Maximizing the acquisition function of Bayesian optimization to guaranteed global optimality

Process Intelligence Research

Department of Chemical Engineering
Faculty of Applied Sciences, Delft University of Technology
Building 58, Van der Maasweg 9
2629 HZ Delft, The Netherlands
a.schweidtmann@tudelft.nl

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