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Institute of Information Engineering, Automation, and Mathematics
Ing. Martin Mojto
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Position:
Researcher
PhD student
Department:
Department of Information Engineering and Process Control (DIEPC)
Room:
NB 647
eMail:
Home page:
https://www.uiam.sk/~mojto
Phone:
+421 259 325 349
ORCID iD:
0000-0002-6114-2710
WoS ResearcherID:
AAZ-3608-2020
Google Scholar:
sjBbi0AAAAAJ
Availability:
Unavailable:
From
06.06.2023
To
09.06.2023
From
17.06.2023
To
22.06.2023
Projects
European Projects
[2022 – 2025]
Fostering Opportunities Towards Slovak Excellence in Advanced Control for Smart Industries
(Investigator, approved)
APVV Research Projects
[2022 – 2025]
Data Based Process Control
(Investigator, approved)
[2021 – 2024]
Energy-efficient Safe and Secure Process Control
(Investigator, approved)
[2016 – 2020]
Optimal Control for Process Industries
(Investigator, approved)
VEGA Research Projects
[2022 – 2025]
Controller design methods for low-level carbon footprint process automation
(Investigator, approved)
[2021 – 2024]
Efficient control of industrial plants using data
(Investigator, approved)
[2020 – 2023]
Advanced Control of Energy Intensive Processes with Uncertainties in Chemical, Biochemical and Food Technologies
(Investigator, approved)
[2017 – 2020]
Energy Efficient Process Control
(Investigator, approved)
KEGA Research Projects
[2021 – 2022]
Complex platform for digital learning of courses aimed at mathematical and computer methods in chemistry
(Investigator, submitted)
Cooperations
[2023 – 2025]
Fr-Sk Cooperation: Smart Process Modelling, Optimisation, and Control
(Investigator, approved)
[2020 – 2022]
Fr-Sk Cooperation: Optimal design and control of processes
(Investigator, approved)
[2018 – 2019]
DE-SK cooperation: Reliable and Real-time Feasible Estimation and Control of Chemical Plants
(Investigator, approved)
Other projects
[2022 – 2023]
Optimization of Mathematical Model for an Industrial Distillation Column
(Principal investigator, approved)
[2021 – 2022]
Practical Design of Inferential Sensors to Increase the Effectiveness of Hard-to-measure Variables Monitoring in Chemical Industry
(Principal investigator, rejected)
[2020 – 2021]
Advanced Design of Inferential Sensors for Industrial Distillation Columns
(Principal investigator, rejected)
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