Ana Sousa

- AI Research Developer : Innovation project "Connected Manufacturing": Overall Concept, Design and implementation for ‘AI and 5G based Wireless Monitor and Controlling of Manufacturing Assembly Stations in real time’, which includes Machine learning for audio/image.

- SW Developer & Project Project Owner : Support the SW team and develop SW for process optimization/monitoring; Responsible for a Strategic project that aims to improve and continuously monitor production processes, using AI;

Collaboration with the CoDE and CNPH groups on the project: Automated Detection of Epileptiform Discharges Using Artificial Intelligence (AI4EPI)

Master's thesis in Biomedical Engineering: "Learning to write medical reports from EEG data." The focus of the thesis was on the development of methods for clinical report writing based on EEG signals, adapting current NLP techniques and state-of-the-art captioning approaches to image, signal and video.

(Erasmus+ Internship) Project: "Generative Adversarial Networks (GANs) and Forecasting Models for Data Augmentation in the Detection of Interictal Epileptiform Discharges (IEDs)". The aim of the project was to explore the advantages of several deep learning techniques for data augmentation for applying to IEDs detection in clinical EEG.

Visual Computing and Machine Intelligence (VCMI) Research Group. Collaboration in the "AUTOMOTIVE" Project. Development automatic face image/video-based drowsiness recognition.

The aim of the project was to characterize lung cancer-associated lesions, using an annotated CT scans dataset. However, due to the Covid-19 pandemic, the internship was based on obtaining deep learning knowledge using Python.