Draft Submitted June 2025
Reviewed and Published July 2025
AI/ML HYPERMODELS FOR BUSINESS PROCESS MONITORING
GNN Hypermodels
Wang, F., Ceravolo, P., & Damiani, E. (2025, April 22). HGCN(O): A self-tuning GCN hypermodel toolkit for outcome prediction in event-sequence data [Preprint].
LSTM Hypermodels
Wang, F., Ceravolo, P., & Damiani, E. (2025). Comprehensive attribute encoding and dynamic LSTM HyperModels for outcome-oriented predictive business process monitoring (arXiv:2506.03696) [Preprint]. arXiv. https://doi.org/10.48550/arXiv.2506.03696
IN-SITU RESOURCE UTILIZATION
Plasma Catalysis for Martian Air Production and Renewable Fuels on Earth
Alhemeiri, N., Polychronopoulou, K., Kosca, L., & Gacesa, M. (2024). Advancing in‑situ resource utilization for earth and space applications through plasma CO₂ catalysis. Journal of CO₂ Utilization, 85, Article 102887. https://doi.org/10.1016/j.jcou.2024.102887
Plasma Catalysis for Fertilizer Production
Kosca, L., Almatrooshi, M., Ahmad, K., Singh, S., Gacesa, M., & Polychronopoulou, K. (2025). Sparks to synthesis: A roadmap to feasible ammonia production via plasma catalysis. Energy Conversion and Management, 333, Article 119802. https://doi.org/10.1016/j.enconman.2025.119802