Petri nets approach for designing the migration process towards industrial cyber-physical production systems. - Ana Cachada; Flavia Pires; José Barbosa; Paulo Leitão (IECON, 2017)

Migration from traditional towards cyber-physical production systems. - Ambra Calà; Arndt Lüder; Ana Cachada; Flavia Pires; José Barbosa; Paulo Leitão; Michael Gepp (INDIN, 2017)

Petri nets methodology for the design and control of migration processes towards industry 4.0. - Ana Cachada; Flavia Pires; José Barbosa; Paulo Leitão; Ambra Calà (ICPS, 2018)

Data scientist under the Da.Re perspective: analysis of training offers, skills and challenges. - Flavia Pires; José Barbosa; Paulo Leitão (INDIN, 2018)

Quo Vadis Industry 4.0: An Overview Based on Scientific Publications Analytics. - Flavia Pires; José Barbosa; Paulo Leitão (ISIE, 2018)

Empowering Humans in a Cyber-Physical Production System: Human-in-the-loop Perspective. - David Costa; Flávia Pires; Nelson Rodrigues 001; José Barbosa; Getúlio Igrejas; Paulo Leitão (ICPS, 2019)

Digital Twin in Industry 4.0: Technologies, Applications and Challenges. - Flávia Pires; Ana Cachada; José Barbosa; António Paulo Moreira; Paulo Leitão (INDIN, 2019)

Digital Twin Experiments Focusing Virtualisation, Connectivity and Real-time Monitoring. - Flávia Pires; Victória Melo; João Almeida; Paulo Leitão (ICPS, 2020)

Decision Support Based on Digital Twin Simulation: A Case Study. - Flávia Pires; Matheus Souza; Bilal Ahmad; Paulo Leitão (SOHOMA, 2020)

Digital Twin based What-if Simulation for Energy Management. - Flávia Pires; Bilal Ahmad; António Paulo Moreira; Paulo Leitão (ICPS, 2021)

Recommendation System using Reinforcement Learning for What-If Simulation in Digital Twin. - Flávia Pires; Bilal Ahmad; António Paulo Moreira; Paulo Leitão (INDIN, 2021)

Trust Model for Digital Twin Based Recommendation System. - Flavia Pires; António Paulo Moreira; Paulo Leitão (SOHOMA, 2021)

Trust Model Experimental Validation to Improve the Digital Twin Recommendation System. - Flávia Pires; Bilal Ahmad; António Paulo Moreira; Paulo Leitão (ICPS, 2022)

Sensitivity Analysis of the SimQL Trustworthy Recommendation System. - Flávia Pires; António Paulo Moreira; Paulo Leitão (SOHOMA, 2023)

Reinforcement learning based trustworthy recommendation model for digital twin-driven decision-support in manufacturing systems. - Flávia Pires; Paulo Leitão; António Paulo Moreira; Bilal Ahmad (Comput. Ind., 2023)

Cold-Start and Data Sparsity Problems in a Digital Twin Based Recommendation System. - Flávia Pires; António Paulo Moreira; Paulo Leitao (ETFA, 2024)

Positioning Cyber-Physical Systems and Digital Twins in Industry 4.0. - Flávia Pires; Victória Melo; Jonas F. P. Queiroz; António Paulo Moreira; Fernando De la Prieta; Elisabet Estévez; Paulo Leitao (ICPS, 2024)

Trustable Intelligent Decision Support for Enhancing Industrial Digital Twins - Flavia Pires (2024)