PhD Students >>
Claudiu Daniel Hromei
PhD Student
hromei@ing.uniroma2.it
M.S. Degree: Computer Science, University of Rome Tor Vergata, 2021.
Address: hromei at ing.uniroma2.it
Bio: Claudiu Daniel Hromei is a 3rd year Ph.D. student at the University of Rome Tor Vergata, with a keen interest in the dynamic field of Human-Robot Interaction. His research primarily revolves around Natural Language Processing (NLP) and Generative AI. In 2020, Claudiu successfully earned his Master’s Degree in Computer Science from Tor Vergata, in the context of Human-Robot Interaction, with a specific focus on medical scenarios. Over time, his research focused on exploring Kernel-based Support Vector Machines and the world of Large Language Models (LLMs), especially in light of the Era of ChatGPT. His approach extends to the development and maintenance of LLMs while ensuring their sustainability through innovative approaches such as Low-Rank Adaptation (LoRA) and model quantization with lower floating-point precision. Additionally, he is focused on architectures that integrate multi-modal inputs with LLMs.
My publications: