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Institute of Information Engineering, Automation, and Mathematics
doc. Ing. MSc. Martin Klaučo, PhD.
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Position:
Deputy of institute for research
Head of department
Lecturer
Department:
Department of Information Engineering and Process Control (DIEPC)
Room:
NB 663
eMail:
Home page:
https://www.uiam.sk/~klauco
Phone:
+421 259 325 345
Skype:
m.klauco
ORCID iD:
0000-0003-0098-2625
WoS ResearcherID:
G-3973-2015
Google Scholar:
wVXDzr8AAAAJ
Availability:
Unavailable:
From
20.12.2024
To
03.01.2025
Projects
European Projects
[2022 – 2026]
Human-Centric Driving Interface
(Principal investigator, rejected)
[2024 – 2025]
Smart Chemical Engineering for Sustainable Development
(Investigator, approved)
[2022 – 2025]
Fostering Opportunities Towards Slovak Excellence in Advanced Control for Smart Industries
(Investigator, approved)
APVV Research Projects
[2025 – 2027]
Development of a Universal Platform for Remote Laboratory Devices
(Investigator, submitted)
[2024 – 2027]
OPTIFLOW: Optimization and Forecasting-driven Control of Microgrid Energy Flows
(Deputy investigator, rejected)
[2022 – 2025]
Data Based Process Control
(Investigator, approved)
[2021 – 2024]
SMART technologies for detection, monitoring and elimination of selected toxic substances in wastewater
(Project coordinator, submitted)
[2021 – 2024]
Energy-efficient Safe and Secure Process Control
(Investigator, approved)
[2020 – 2022]
Full-Authority Vehicle Control Strategy
(Principal investigator, approved)
[2016 – 2020]
Optimal Control for Process Industries
(Investigator, approved)
[2012 – 2015]
Advanced and effective methods of optimal process control
(Investigator, approved)
VEGA Research Projects
[2024 – 2027]
Advanced control of energy-intensive chemical-technological processes using learned approximate explicit controllers
(Principal investigator, approved)
[2023 – 2026]
Economically Efficient Predictive Control of Microgrids
(Deputy investigator, approved)
[2022 – 2025]
Controller design methods for low-level carbon footprint process automation
(Investigator, approved)
[2020 – 2023]
Advanced Control of Energy Intensive Processes with Uncertainties in Chemical, Biochemical and Food Technologies
(Principal investigator for FCFT, approved)
[2019 – 2022]
On-Line Tunable Explicit Model Predictive Control for Systems with a Fast Dynamics
(Investigator, approved)
[2017 – 2020]
Energy Efficient Process Control
(Investigator, approved)
[2013 – 2016]
Optimal Process Control
(Investigator, approved)
Cooperations
[2017 – 2022]
Embedded Optimal Control
(Investigator, approved)
Other projects
[2019 – 2020]
Heart-Disease Diagnostic in Real Time with Neural Networks
(Principal investigator for FCFT, approved)
State Projects
[2020 – 2020]
(Investigator, approved)
[2019 – 2019]
STU as the Leader of Digital Coalition
(Principal investigator for FCFT, approved)
Operating programs
[2024 – 2025]
Adaptive AI Controllers for Energy-Intensive Chemical Processes: Merging MPC with Machine Learning
(Principal investigator, rejected)
[2021 – 2023]
Acquisition of the HR Excellence in Research Award - HRS4R na STU
(Investigator, approved)
[2021 – 2023]
Research in SMART Monitoring and Disease Prevention Against Coronavirus (SARS-CoV-2)
(Project coordinator, approved)
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