Advanced Data Analysis Techniques (TAAD) - Project presentations

Wednesday 17 Jan 2024, 10:00 → 16:00 Europe/Lisbon

D.14 (Dep. of Physics, FCTUC)

Research project presentations should describe the problem, the techniques used to address it, and the conclusions reached.

Each presentation will be 15 mins (maximum) and will be followed by up to 5 minutes of questions/discussion. Both students in each group should participate in making and showing the presentation. The  presence of all students is welcome during all presentations, but not mandatory.

Evaluation criteria will be: 1) presentation clarity, 2) description of problem, 3) use of machine learning techniques, 4) conclusions and critical thinking. Project supervisors are welcome to attend the presentations and will be asked to take part in the evaluation.

Course: Advanced Data Analysis Techniques (TAAD)

Degree/university: MEF/MF - UC, 1st semester 2023/2024

Profs: R. Gonçalo, F. Veloso, M. Ferreira, P. Brás, T.Cerqueira, T. Malik, T. Pereira

1 Learning Models to Classify PPG Waveforms

Speakers: Duarte Rodrigues, Henrique Gaspar

HenriqueeDuarte_presentation.pdf

2 Deciphering the Dark: A Machine Learning Approach to Detecting Dark Matter Influence in Neutron Star Observables

Speakers: Mariana Encarnação, Patrícia Encarnação

PatriciaeMariana.pdf

3 Audio analysis: Speech recognition

Speakers: Gabriel Maynard, Michelle Colantoni

GabrieleJuno.pdf

4 Classification of pulses in the LUX-ZEPLIN dark matter detector

Speakers: Adeniyi Adebayo, Ronald Soares

RonaldeAde.pdf

5 Earth Observation Mission of a 6U CubeSat with a 5-Meter Resolution for Wildfire Image Classification Using Convolution Neural Network Approach

Speaker: Plínio Borges

Plinio.pptx