Fotis Giasemis PhD Defense

Name: Fotis Giasemis PhD Defense
Start: 2025-09-05T13:30:00+02:00
End: 2025-09-05T18:00:00+02:00
Location: LPNHE

vendredi 5 sept. 2025, 13:30 → 18:00 Europe/Paris

Amphithéâtre Georges Charpak (LPNHE)

Amphithéâtre Georges Charpak

LPNHE

Patio 22-33, Rez-de-chaussée (RC) - Niveau Saint Bernard (SB) - Porte 02, Campus Pierre et Marie Curie, 4 Place Jussieu, 75005 Paris

Pierre Astier (LPNHE)

Description

Please arrive or connect no later than 13:50 CEST. The defense will start at 2pm CEST, and it will take place at the following address:

4 Place Jussieu, 75005 Paris,

Amphitheater Georges Charpak,

Corridor 22-33,

Level RC (Underground) - SB - Door 02

Zoom link: https://cern.zoom.us/j/68619276690?pwd=oEtptsqL1KU3iN7Xf4Nz4UEsLcLRak.1

Instructions: To connect copy the Zoom link above and paste into a browser, or click on "Zoom Link" on the presentation contribution: "Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures".

Οδηγίες: Για να συνδεθείτε αντιγράψτε το Zoom link ανωτέρω και επικολλήστε το στον περιηγητή, ή πατήστε στο "Zoom Link" κάτω από την ενότητα της ομιλίας: "Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures".

- 13:30 → 14:00
  
  Preparation, arrivals 30m
  
  Please arrive on time, before 13:50 CEST, and take a seat. The presentation will start on time.
  
  A map of the Jussieu Campus is attached below, look for "AMPHI CHARPAK".
  
  Remote participants should also connect on time, by 13:50 CEST.
  
  Instructions: To connect click on "Zoom Link" below.
  
  Οδηγίες: Για να συνδεθείτε πατήστε στο "Zoom Link" παρακάτω.
  
  Sorbonne Jussieu Campus.pdf
- 14:00 → 15:00
  
  Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures 1h
  
  45' presentation of the PhD work.
  
  The thesis explores how modern machine learning models can be deployed efficiently in high-energy physics environments, with a focus on maximizing throughput and minimizing energy consumption.
  
  The pre-defense version of the thesis can be found at arXiv.2508.07423.
  
  For more resources: fotisgiasemis.com.
  
  Instructions: To connect click on "Zoom Link" below.
  
  Οδηγίες: Για να συνδεθείτε πατήστε στο "Zoom Link" παρακάτω.
  
  Orateur: Fotis Giasemis (Sorbonne/CERN)
  
  Calendar Invitation
  
  Zoom Link
- 15:00 → 16:30
  
  Questions from the committee and the public 1h 30m
- 16:30 → 17:00
  
  Doctoral committee deliberations 30m
- 17:00 → 17:30
  
  Doctoral committee verdict and doctoral oath 30m