Philipp Gerard Trémuel

Beruflicher Abschluss

• MSc, Ostschweizer Fachhochschule OST
• BSc, Interstaatliche Hochschule für Technik Buchs NTB

Fachliche Schwerpunkte

• Machine Learning, DeepLearning
• Scientific Machine Learning
• Large Language Models
• Data Science

Berufspraxis

• Wissenschaftlicher Mitarbeiter Fachhochschule Ostschweiz OST Institut für Computational Engineering

Aktuelle Projekte

• Automatic Design Tool for Radiofrequency PCB Footprint Design
• PhD University of Amsterdam: Physics Informed Machine Learning/Code Generation for Physical Simulation with Large Language Models

Fachzeitschrift

• Robin Vetsch; Christoph Würsch; Klaus Frick; Efstratios Gavves (2023) Parameter-free Neural Field-based Optimal Design of Nonuniform Transmission Lines, Publication Link: https://ieeexplore.ieee.org/document/10382765, IEEE, Istanbul, Turkiye, in: 2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS), ISBN Electronic ISBN:979-8-3503-2649-9, Print on Demand(PoD) ISBN:979-8-3503-2650-5. 10.1109/ICECS58634.2023.10382765