Department of Chemical and Metallurgical Engineering

Process control and automation

The group led by Prof. Francesco Corona and Prof. Iiro Harjunkoski is a trans-disciplinary research team that builds up on chemical engineering, applied mathematics and computer science. Our research is at the interface of automatic control, machine learning, and optimisation, we emphasise the computational and inferential thinking of process systems.
CMET_PCA group

We develop fundamental methodologies and concrete tools of process systems engineering that are capable of sensing, learning, reasoning, and acting on chemical and physical systems based on observational data and domain knowledge.

The research develops on four foundational pillars:

  1. Data
  2. Phenomenological and probabilistic modelling
  3. Statistical inference/learning
  4. Optimal decision/control

The formal framework for modelling and control is given as a model of the system in which the uncertainties associated with our knowledge and the measuring process are clearly stated.

An important objective in our research is the design and learning of flexible models that can capture complex dynamics.

Open positions

Doctoral students - Two positions in stochastic modelling and control of chemical and biochemical systems

Master's students - Two positions in dynamical simulation and analysis of complex reaction networks

  • Email Francesco Corona for details

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    Iiro Harjunkoski

    Latest publications:

    On the fitting of bathtub-shaped failure models to lifetime data for selective maintenance optimization

    Teemu J. Ikonen, Iiro Harjunkoski 2021 Computer Aided Chemical Engineering

    Modeling and Analysis of Organic Waste Management Systems in Centralized and Decentralized Supply Chains Using Generalized Disjunctive Programming

    Maryam Mohammadi, Edgar Martín-Hernández, Mariano Martín, Iiro Harjunkoski 2021 Industrial and Engineering Chemistry Research

    On the observability of activated sludge plants

    Otacilio B.L. Neto, Michela Mulas, Francesco Corona 2021 IFAC-PapersOnLine

    Synergistic and Intelligent Process Optimization : First Results and Open Challenges

    Iiro Harjunkoski, Teemu Ikonen, Hossein Mostafaei, Tewodros Deneke, Keijo Heljanko 2020 Industrial & Engineering Chemistry Research

    Large-scale selective maintenance optimization using bathtub-shaped failure rates

    Teemu Ikonen, Hossein Mostafaei, Yixin Ye, David Bernal, Ignacio Grossmann, Iiro Harjunkoski 2020 Computers and Chemical Engineering

    Reinforcement learning of adaptive online rescheduling timing and computing time allocation

    Teemu J. Ikonen, Keijo Heljanko, Iiro Harjunkoski 2020 Computers and Chemical Engineering

    Industry 4.0 based process data analytics platform

    James Clovis Kabugo, Sirkka Liisa Jämsä-Jounela, Robert Schiemann, Christian Binder 2020 International Journal of Electrical Power and Energy Systems

    Optimisation of multi-plant capacitated lot-sizing problems in an integrated supply chain network using calibrated metaheuristic algorithms

    Maryam Mohammadi, Siti Nurmaya Musa, Mohd Bin Omar 2020 International Journal of Operational Research

    Optimization of multi-plant capacitated lot-sizing problems in an integrated supply chain network using calibrated metaheuristic algorithms

    Maryam Mohammadi, Siti Nurmaya Musa, Mohd Bin Omar 2020 International Journal of Operational Research
    More information on our research in the Research database.
    Research database
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