Department of Chemical and Metallurgical Engineering

Process control and automation

The group lead 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 machine learning, automatic control and optimisation and it emphasises the computational and inferential thinking of process systems.

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: i) data; ii) phenomenological and probabilistic modelling; iii) statistical inference/learning;, and iv) 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 is the design and learning of flexible models that can capture complex dynamical phenomena. 
Two purple and one yellow Aalto universiry flags

Research team members

Francesco Corona

Department of Chemical and Metallurgical Engineering
Professor (Associate Professor)

Maryam Mohammadi

Department of Chemical and Metallurgical Engineering
Postdoctoral Researcher

Teemu Ikonen

Department of Chemical and Metallurgical Engineering
Postdoctoral Researcher
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