Members

Sara Elvira Nunes Mota

Category
Research Fellow
Organic Unit
Department of Mechanical Engineering
Email
saramota@ua.pt
Ciência ID
761D-41CA-7259
ORCID iD
0009-0009-0297-710X

Sara Mota is a PhD student in Mechanical Engineering at the University of Aveiro. She has a strong academic background in sustainable energy systems and water technologies, along with a growing research focus on the application of artificial intelligence (AI) and machine learning (ML) in water and wastewater systems. Her PhD project, titled "Real-time Predictive and Smart Operation of Wastewater Treatment Plants Using Accurate Digital Twins and Active Data Analytics," aims to develop a smart predictive digital twin of wastewater treatment plants to optimise their operations while ensuring energy efficiency and compliance with water quality regulations. This research is funded by the Portuguese Foundation for Science and Technology (FCT). Sara is involved in several research projects in this field and is a member of the research team "ReachOptimum @ TEMA." Her findings have been presented at both national and international scientific conferences.

  • 0
    fundings
  • 0
    publications

Fundings

  • Toward virtual forming and design: Thermomechanical characterization of advanced high strength steels through full-field measurements and a single designed test

    12/31/2024
    Research Fund for Coal and Steel grant agreement No 888153

    https://www.vform-xsteels.eu/index.php/home/

  • I-RETIS Water (Operação Integrada de Redes Inteligentes de Água em Tempo Real

    CENTRO-01-0247-FEDER-069857

    https://www.scubic.pt/pt/i-retis-water

  • I-ReTiSLeaksD&Op - Towards Integrated Real-Time and Smart Water Leak Detection and Operation

  • Proyecto de Mejora de Eficiencia del Ciclo Urbano del Agua de Las Palmas

    PROYECTO DE MEJORA DE EFICIENCIA DEL CICLO URBANO DEL AGUA DE LAS PALMAS

    https://emalsa.es/proyecto-de-mejora-de-eficiencia-del-ciclo-urbano-del-agua-de-las-palmas/

  • Real-time predictive and smart operation of wastewater treatment plants using accurate digital twins and active data analytics

Publications

  • Differential machine learning model for simulation of water supply systems

    Andrade-Campos, Antonio; Brás, Marlene; Mota, Sara; Pereira, Tiago; Reis, Ana; Sousa, Ana Luís
    Journal of Water Resources Planning and Management | 2025

  • Machine Learning based prediction of chlorine residuals in water supply systems

    Andrade-Campos, Antonio; Mota, Sara; Reis, Ana
    DTE - AICOMAS 2025: Digital Twins in Engineering & Artificial Intelligence and Computational Methods in Applied Science | 2025

  • A Stage-Wise Literature Review Toward Smart Digital Twin Developments of Wastewater Treatment Plants

    A. Gil Andrade-Campos; Mota, Sara
    TEchMA 2025 – new frontiers in mechanical engineering. | 2025

  • Smart operations for wastewater treatment plants: Using machine learning models to enhance wastewater management

    Andrade-Campos, Antonio; Mota, Sara
    TEchMA 2024– 7th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions | 2024

  • On the use of Machine Learning models for prediction and optimization of water supply networks

    Andrade-Campos, Antonio; Mota, Sara
    7th ECCOMAS Young Investigators Conference (YIC 2023) | 2023

  • Machine Learning models for prediction and optimization of water supply networks

    Andrade-Campos, Antonio; Mota, Sara; Pereira, Tiago
    TEchMA2023 – 6th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions | 2023

  • Differential machine learning models for simulation and cost optimization of water supply systems

    Universidade de Aveiro | 2023

    http://hdl.handle.net/10773/40162

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