doc. Ing. MSc. Martin Klaučo, PhD.
- Position:
- 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
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)