On January 18, 2022, the President of the Slovak Republic Zuzana Čaputová appointed 33 new university professors. We are proud that our colleague Michal Kvasnica was appointed as a Professor in the field of Automation. Congratulations!

On Friday, December 10, 2021, PhD students Kristína Fedorová, Lenka Galčíková, and Roman Kohút defended their Dissertation Examination. Congratulations!

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We are authors of a new article in the prestigious international scientific journal Computers & Chemical Engineering:

Lenka Galčíková - Juraj Oravec: Fixed complexity solution of partial explicit MPC

The paper presents a novel Partial Explicit MPC design method. The publisher Elsevier provides open access to new research articles for 50 days to help share the current results.

On Friday, December 3, 2021, Dr. Peter Bakaráč successfully defended his PhD thesis: "Model Predictive Control for Systems with Fast Dynamics" supervised by Assoc. Prof. Michal Kvasnica. Congratulations!

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On September 10, we co-organised the fourth online workshop on "Embedded Optimal Control" together with our colleagues from RUB Bochum, Germany. Our aim was to share the latest scientific results and discuss the opportunities to push forward the perspective ideas.

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We are co-authors of a new article in the prestigious international scientific journal Computers & Chemical Engineering:

Anwesh Reddy Gottu Mukkula – Michal Mateáš – Miroslav Fikar – Radoslav Paulen: Robust multi-stage model-based design of optimal experiments for nonlinear estimation

The paper presents a new technique for the robust design of optimal experiments on nonlinear systems. The paper is a partial result of the collaboration of our institute with Technische Universität Dortmund. The publisher Elsevier provides open access to new research articles for 50 days to help sharing the current results.

PhD student from IAM Ing. Martin Mojto participated in a workshop on Big & BioData Analysis and Processing (BiBiDAP) on 29.07.2021. This workshop was intended for data analysis and processing using various mathematical and statistical methods. Martin Mojto presented the topic of data-based inferential sensor design for the petrochemical industry.

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We are the authors of a new research paper in a top-tier international scientific journal Computers & Chemical Engineering. Publisher Elsevier provides open access to new research articles for 50 days to help share the scientific results. The paper summarizes methods for the data treatment and design of the inferential sensors. These methods are applied in two industrial case studies. This work is conducted in cooperation with our industrial partner Slovnaft, a.s.

Martin Mojto – Karol Ľubušký – Miroslav Fikar – Radoslav Paulen: Data-based design of inferential sensors for petrochemical industry

The students who defended the outstanding master thesis were awarded at FCHPT, STU in Bratislava. Among them, IAM students Martin Bachorík, Samuel Hrstka, and Lucia Míková were awarded. Congratulations!

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