Researcher in process systems engineering on process optimization and control. Specifically, the key focus areas of my research are
- Multi-parametric programming
- Explicit model predictive control.
Highlights of my research include the development of state-of-the-art algorithms for mp-QP and mp-MIQP algorithms as well as their application to explicit MPC problems in energy systems, healthcare and bio-manufacturing.
This led to the development of the POP toolbox, a MATLAB software toolbox for multi-parametric programming and explicit model predictive control. It can be downloaded here and tutorial videos can also be found on YouTube.
Oberdieck R, Pistikopoulos EN, 2016, Multi-objective optimization with convex quadratic cost functions: A multi-parametric programming approach, Computers & Chemical Engineering, Vol:85, ISSN:0098-1354, Pages:36-39
et al., 2016, Advanced Control Strategies for the Multicolumn Countercurrent Solvent Gradient Purification Process, Aiche Journal, Vol:62, ISSN:0001-1541, Pages:2341-2357
Oberdieck R, Pistikopoulos EN, 2015, Explicit hybrid model-predictive control: The exact solution, Automatica, Vol:58, ISSN:0005-1098, Pages:152-159
Nascu I, Oberdieck R, Pistikopoulos EN, 2015, A framework for hybrid multi-parametric model-predictive control with application to intravenous anaesthesia, 12th International Symposium on Process Systems Engineering (PSE) / 25th European Symposium on Computer Aided Process Engineering (ESCAPE), ELSEVIER SCIENCE BV, Pages:719-724, ISSN:1570-7946
Naşcu I, Oberdieck R, Pistikopoulos EN, 2015, An explicit hybrid model predictive control strategy for intravenous anaesthesia, Pages:58-63