Erika Oliveira da Silva

Developed mechanistic digital twins for complex manufacturing systems by integrating process data and first-principles models to support real-time monitoring and decision making. Collaborated with cross-functional teams to translate process knowledge into robust models. Applied state estimation and advanced control techniques, with results published in peer-reviewed journals and presented at conferences.

Developed and validated dynamic simulation of large-scale separation process using plant data and technical documentation. Built virtual environments connected to commercial MPC platforms (Aspen DMC3) to test control strategies. Implemented optimization-under-uncertainty methods, improving economic performance and robustness, and authored three peer-reviewed publications.

Collaborated with technical teams at a refinery to perform process risk analyses, supporting safe and reliable operation. Conducted on-site visits to engage with operations personnel, gather technical documentation, and assess process hazards. Participated in cross-functional risk review and validation workshops with process engineering, safety, maintenance, and operations experts. Completed a Master’s thesis on multi-objective optimization and risk-informed decision support for emergency planning.

Configured and supported engineering software platforms (AVEVA PDMS, Integraph SmartPlant/SmartMarine 3D) for large industrial projects. Automated data-driven workflows using algorithms and SQL to improve efficiency and data integrity. Delivered technical training and user support to multidisciplinary teams.