Login

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 20 mins (maximum) and will be followed by up to 10 minutes of questions/discussion. Both students in each group should participate in making and showing the presentation. Student presence 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.

 

Zoom link: https://videoconf-colibri.zoom.us/j/96614351677?pwd=NkZWZnlORmJtc3JCV3ZxejJQTkdTUT09

 

Course: Advanced Data Analysis Techniques (TAAD)

Degree/university: MEF/MF - UC, 1st semester 2022/2023

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

    • 14:00 → 14:30
      Asterosismologia 30m

      Maria Inês Marques Fino Sousa Ferreira
      Simão Pedro Neto Sousa
      Supervisores: Nuno Peixinho, Diego Bossini

      MariaFerreira.pdf
    • 14:30 → 15:00
      SNO+ 30m

      Carlos André Mendes de Almeida Roxo
      Carolina Oliveira Fernandes
      Supervisor: Nuno Barros

      Carolina_Carlos.pdf
    • 15:00 → 15:30
      Identification of multi-site interactions in the LUX-ZEPLIN dark matter detector 30m

      Daniel Rui Neves Vieira
      Sérgio Miguel Almeida Rodrigues
      Supervisor: Paulo Brás

      Daniel Vieira e Sérgio Rodrigues.pptx
    • 15:30 → 16:00
      Classification of pulses in the LUX-ZEPLIN dark matter detector. 30m

      Inês Rodrigues Sequeira
      Maria Ana Cruz Moita
      Supervisor: Paulo Brás

      Inês e Maria.pdf
    • 16:00 → 16:30
      Materials properties from machine learning 30m

      Alexandre Guilherme Faria Duarte
      João Afonso Dinis Fernandes
      Supervisor: Tiago Cerqueira

      AlexandreJoaoFernandes.pdf
    • 16:30 → 17:00
      Materials properties from machine learning 30m

      Carlos José Martins Brito
      Eduardo Filipe Marques Ribeiro
      Supervisor: Tiago Cerqueira

      Projeto_TAAD.pdf
    • 17:00 → 17:30
      Identification of multi-site interactions in the LUX-ZEPLIN dark matter detector 30m

      Francisco Gameiro Casalinho
      Joana Pires Morgado Fernandes Pereira
      Supervisor: Paulo Brás

      Proj_FranciscoC_JoanaP.pptx
    • 17:30 → 18:00
      Audio analysis: measuring heart rate and classifying heart sounds 30m

      Diogo Severino Gorgulho
      Mariana Mendes dos Santos
      Supervisor: Filipe Veloso

      DiogoMariana.pdf
    • 18:00 → 18:30
      Audio analysis: measuring heart rate and classifying heart sounds 30m

      Elias Manuel Dylan Wahl
      Mantas Skaržinskas
      Supervisor: Filipe Veloso

      https://tome.app/123-a4c/locating-s1-and-s2-sounds-a-machine-learning-approach-copy-clcqr3rcw0trw9b39owkg4tes
      SlidesEliasMantas.pdf
    • 18:30 → 19:00
      Sensores Virtuais 30m

      Joana da Silva Rosa Leiria
      Rafaela Sofia Paiva Carvalho
      Supervisor: Jérôme Mendes

      JoanaLeiria_RafaelaCarvalho.pdf
Powered by Indico v3.3.5