Advanced Data Analysis Techniques (TAAD) - Project presentations

Europe/Lisbon
D.14 (Dep. of Physics, FCTUC)

D.14

Dep. of Physics, FCTUC

Description

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

Zoom: https://videoconf-colibri.zoom.us/j/94518335918?pwd=TjB3d3ZUVjlNSmpXdzRRZ3lOZlNyQT09

    • 10:00 10:15
      Classification of pulses in the LUX-ZEPLIN dark matter detector. 15m
      Speakers: Elisa Ghetti, Kai Jenkins
    • 10:25 10:40
      Learning Models to Classify PPG Waveforms 15m
      Speakers: Ariana Queda, Gonçalo Ivo
    • 10:50 11:05
      Deep Learning Models for Lung Cancer Detection Using CT Images 15m
      Speakers: Adrian Walczak, Vadim Munteanu
    • 11:15 11:30
      Deciphering the Dark: A Machine Learning Approach to Detecting Dark Matter Influence in Neutron Star Observables 15m
      Speaker: Nhat Le
    • 11:40 11:55
      Audio analysis: Speech recognition 15m
      Speakers: Carlota Casani, Mariola Barrachina
    • 12:05 12:20
      Deciphering the Dark: A Machine Learning Approach to Detecting Dark Matter Influence in Neutron Star Observables 15m
      Speaker: Afonso Ávila
    • 12:30 12:45
      Deep Learning Models for Lung Cancer Detection Using CT Images 15m
      Speakers: Jaunius Berskys, Lars Kurth