Projects per year
Personal profile
Quote
"Averages are funny things. Ask the statistician who drowned in a lake of average depth equal to 3 cm."
- J.D. Barrow
Research profile
Domagoj's research interests center on the control of uncertain nonlinear systems, with a specific focus on addressing computational challenges inherent in such methodologies. He is particularly intrigued by risk-averse and distributionally robust problems. Currently, he is actively involved in developing Model Predictive Control strategies tailored for pandemic scenarios. His work aims to contribute novel computational methods for robust control strategies, offering valuable insights for practical applications in both general uncertain systems and specific contexts such as pandemic control.
Academic background
Domagoj Herceg was born in Split, Croatia. He earned his B.Sc and M.Sc. degrees in Electrical Engineering and Information Technology with great honor, all from Faculty of Electrical Engineering and Computing at the University of Zagreb, Croatia. In March 2020, he defended his Ph.D. thesis titled “Stochastic Model Predictive Control of Nonlinear and Uncertain Systems” at the IMT School for Advanced Studies Lucca, Italy.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
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Collaborations and top research areas from the last five years
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22.0024 TKI "Learning in Motion" CST
Ickenroth, T. S. (Project member), Oomen, T. (Project Manager), Steinbuch, M. (Project member), van Hulst, J. (Project member) & Herceg, D. (Project member)
1/01/21 → 29/02/28
Project: Third tier
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100430362220008 "Model Predictive Pandemic Control"
Salazar, M. (Project Manager), Bertollo, R. (Project member), Chanfreut Palacio, P. (Project member), Herceg, D. (Project member) & Dell'Oro, M. (Project member)
1/08/23 → 31/07/25
Project: Second tier
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A Scenario-Based Model Predictive Control Scheme for Pandemic Response Through Non-Pharmaceutical Interventions
Herceg, D., Dell'Oro, M., Bertollo, R., Miura, F., de Klaver, P., Breschi, V., Krishnamoorthy, D. & Salazar, M., 11 Sept 2025, 2025 IEEE Conference on Control Technology and Applications, CCTA 2025. Institute of Electrical and Electronics Engineers, p. 139-144 6 p. 11151333Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)7 Downloads (Pure) -
Risk-averse model predictive control
Sopasakis, P. (Corresponding author), Herceg, D., Bemporad, A. & Patrinos, P., 2019, In: Automatica. 100, p. 281-288 8 p.Research output: Contribution to journal › Article › Academic › peer-review
63 Link opens in a new tab Citations (Scopus) -
Data-driven modelling, learning and stochastic predictive control for the steel industry
Herceg, D., Georgoulas, G., Sopasakis, P., Castaño, M., Patrinos, P., Bemporad, A., Niemi, J. & Nikolakopoulos, G., 2017, 2017 25th Mediterranean Conference on Control and Automation (MED). Institute of Electrical and Electronics Engineers, p. 1361-1366 6 p. 7984308Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
1 Link opens in a new tab Citation (Scopus) -
Modeling and administration scheduling of fractional-order pharmacokinetic systems
Herceg, D., Ntouskas, S., Sopasakis, P., Dokoumetzidis, A., Macheras, P., Sarimveis, H. & Patrinos, P., 2017, In: IFAC-PapersOnLine. 50, 1, p. 9742-9747 6 p.Research output: Contribution to journal › Conference article › peer-review
6 Link opens in a new tab Citations (Scopus) -
Stochastic economic model predictive control for Markovian switching systems
Sopasakis, P., Herceg, D., Patrinos, P. & Bemporad, A., 2017, In: IFAC-PapersOnLine. 50, 1, p. 524-530 7 p.Research output: Contribution to journal › Conference article › peer-review
8 Link opens in a new tab Citations (Scopus)