Mrs. Marcia Baptista, Delft University of Technology
Mrs. Marcia Baptista, currently an Assistant Professor at TU Delft and soon joining NOVA IMS, completed her Ph.D. in Engineering Design and Advanced Manufacturing at MIT Portugal Program 📚. Her research in machine learning and deep learning for prognostics in aeronautics, conducted in collaboration with Rolls Royce and Embraer, has led to significant advancements in predictive maintenance technology 🔬. Marcia’s career spans leadership roles at NASA Ames Research Center and Instituto Tecnológico de Aeronáutica, focusing on technical prognostics and system engineering across continents. Her contributions have earned her Best Paper awards at esteemed conferences and recognition for teaching excellence 🏆. Beyond academia, Marcia chairs international conference sessions, serves editorial roles, and contributes to advanced engineering literature 🌐.
🌐 Professional Profile:
Orcid
Scopus
📚 Education & Academic Path
I completed my Ph.D. in Engineering Design and Advanced Manufacturing at MIT Portugal Program, focusing on machine learning and deep learning for prognostics in aeronautics. This research involved collaborations with Rolls Royce and Embraer, resulting in significant advancements in predictive maintenance technology.
🔬 Research & Professional Experience
Currently serving as an Assistant Professor at TU Delft and starting soon at NOVA IMS, I’ve been actively involved in teaching, research, and leadership roles. My work spans multiple continents, including positions at NASA Ames Research Center and Instituto Tecnológico de Aeronáutica, where I contributed to cutting-edge projects in technical prognostics and system engineering.
🏆 Achievements & Recognition
Throughout my career, I’ve been honored with numerous awards, including Best Paper accolades at prestigious conferences like WCE 2019 and ISM 2019. I’ve also received recognition for my teaching contributions and was awarded a Doctorate Scholarship from the Foundation for Sciences and Technology in Portugal.
🌐 Contributions & Outreach
Beyond academia, I’ve chaired sessions at international conferences and served as a web chair for the Intelligent Transport Systems Conference. My editorial roles include being a special issue editor for prominent journals and authoring chapters on advanced engineering topics.
Publication Top Notes:
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Aircraft Engine Bleed Valve Prognostics Using Multiclass Gated Recurrent Unit
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1D-DGAN-PHM: A 1-D denoising GAN for Prognostics and Health Management with an application to turbofan
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Relation between prognostics predictor evaluation metrics and local interpretability SHAP values
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A self-organizing map and a normalizing multi-layer perceptron approach to baselining in prognostics under dynamic regimes
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Classification prognostics approaches in aviation