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Clara Ionescu

Prof. Dr. Clara Ionescu

Ghent University

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Clara M. Ionescu received an M.Sc. degree in industrial informatics and automation from the Dunarea de Jos University of Galati in 2003, and a Ph.D. degree from Ghent University in 2009 in modeling the human respiratory system with fractional order models for diagnosis purposes. Between 2011 and 2016, she was the recipient of the prestigious Flanders Research Fund grant for postdoctoral fellows at the same university. Since October 2016, she has been a professor at Ghent University, teaching Computer Control of Industrial Processes within the Control and Automation Master Program. She is working on the application of generic control algorithms (fractional, predictive, and PID-type) to dynamic processes in various application fields. A major line in her research is the application of modeling, identification, and control know-how into clinical practice, with prevalence to optimizing multi-drug administration for general anesthesia. She is also the inventor of non-invasive devices/sensors for measuring nonlinear dynamic properties in human respiratory tissue and in human skin impedance.

Research Keywords & Expertise

Biomedical Engineering
Modelling
model and control
predictive control
Sensors and Instrument...

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57%
Modelling
22%
predictive control
21%
model and control
5%
Biomedical Engineering

Short Biography

Clara M. Ionescu received an M.Sc. degree in industrial informatics and automation from the Dunarea de Jos University of Galati in 2003, and a Ph.D. degree from Ghent University in 2009 in modeling the human respiratory system with fractional order models for diagnosis purposes. Between 2011 and 2016, she was the recipient of the prestigious Flanders Research Fund grant for postdoctoral fellows at the same university. Since October 2016, she has been a professor at Ghent University, teaching Computer Control of Industrial Processes within the Control and Automation Master Program. She is working on the application of generic control algorithms (fractional, predictive, and PID-type) to dynamic processes in various application fields. A major line in her research is the application of modeling, identification, and control know-how into clinical practice, with prevalence to optimizing multi-drug administration for general anesthesia. She is also the inventor of non-invasive devices/sensors for measuring nonlinear dynamic properties in human respiratory tissue and in human skin impedance.