Personal profile
Keywords
- User defined:
- machine learning
- deep learning
- molecular property prediction
- Process systems engineering (PSE)
- material design
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 9 Industry, Innovation, and Infrastructure -
SDG 12 Responsible Consumption and Production
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- 1 Similar Profiles
Collaborations and top research areas from the last five years
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Fairer benchmark of group contribution and machine learning models for property prediction: A new data splitting strategy
Aouichaoui, A. R. N., Liang, J., Abildskov, J. & Sin, G., 2025, In: Computers and Chemical Engineering. 202, 18 p., 109271.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile18 Downloads (Orbit) -
Energy- and process real-time optimization through hybrid modeling - a case from Viking Malt A/S
Jul-Rasmussen, P., Aouichaoui, A. R. N., Korzepa, M., Engelbrecht, K., Kongsgaard, K. & Huusom, J. K., 2024, Proceedings of the 34th European Symposium on Computer Aided Process Engineering. Manenti, F. & V. Reklaitis, G. (eds.). Elsevier, Vol. 53. p. 1645-1650Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Navigating industry 4.0 and 5.0: the role of hybrid modelling in (bio)chemical engineering’s digital transition
Gargalo, C. L., Malanca, A. A., Aouichaoui, A. R. N., Huusom, J. K. & Gernaey, K. V., 2024, In: Frontiers in Chemical Engineering. 6, 17 p., 1494244.Research output: Contribution to journal › Review › peer-review
Open AccessFile255 Downloads (Orbit) -
Scoping and Identifying Data-Driven Optimization Prospects in the Danish Processing Industry
Aouichaoui, A. R. N., Ernstsson, B. B., Jul-Rasmussen, P., H. Iversen, N., Vermue , L. & Huusom, J. K., 2024, Proceedings of the 34th European Symposium on Computer Aided Process Engineering. Manenti, F. & V. Reklaitis, G. (eds.). Elsevier, Vol. 53. p. 451-456Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Towards Self-Consistent Graph Neural Networks for Predicting the Ideal Gas Heat Capacity, Enthalpy, and Entropy
Aouichaoui, A. R. N., Müller, S. & Abildskov, J., 2024, Proceedings of the 34th European Symposium on Computer Aided Process Engineering. Manenti, F. & V. Reklaitis, G. (eds.). Elsevier, Vol. 53. p. 2833-2838Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Projects
- 1 Finished
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Machine learning (AI) applications for new and improved property predictions
Aouichaoui, A. R. N. (PhD Student), Kuitunen, S. (Examiner), Sundmacher, K. (Examiner), Sin, G. (Main Supervisor), Abildskov, J. (Supervisor) & Mansouri, S. S. (Supervisor)
01/12/2019 → 10/07/2023
Project: PhD