Advanced Data Analysis Techniques (TAAD) - Project presentations

Name: Advanced Data Analysis Techniques (TAAD) - Project presentations
Start: 2023-01-11T14:00:00+00:00
End: 2023-01-11T20:00:00+00:00
Location: Dep. of Physics, FCTUC

Wednesday 11 Jan 2023, 14:00 → 20:00 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