Preparation, arrivals Room: Amphithéâtre Georges Charpak 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**.

Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures

• Fotis Giasemis (Sorbonne/CERN)

Room: Amphithéâtre Georges Charpak 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][1]. For more resources: [fotisgiasemis.com][2]. --- **Instructions**: To connect **click on "Zoom Link" below**. **Οδηγίες**: Για να συνδεθείτε **πατήστε στο "Zoom Link" παρακάτω**. [1]: https://doi.org/10.48550/arXiv.2508.07423 "arXiv.2508.07423" [2]: https://fotisgiasemis.com/ "fotisgiasemis.com"

Questions from the committee and the public Room: Amphithéâtre Georges Charpak

Doctoral committee deliberations Room: Amphithéâtre Georges Charpak

Doctoral committee verdict and doctoral oath Room: Amphithéâtre Georges Charpak