activity
20242026
most citedCarbon Footprint Evaluation of Code Generation through LLM as a Service

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs

Tina Vartziotis, Rodopi Kosteli, Elli Vartziotis +5

The operational energy consumption of large language model (LLM) inference is becoming an increasingly important component of the environmental footprint of deployed AI systems. Ho…

cs.CY2026

Revitalizing Public Urban Places through Cultural and Political Memory: A Technological Approach with LLMs and Augmented Reality

Lara Vartziotis, Tina Vartziotis, Valentin Keckeisen +4

This paper explores the intersection of memory, place, and identity, examining how new technologies, particularly Apple Vision Pro, can illuminate this nexus. Leveraging digital tw…

cs.HC2026

Emotive Architectures: The Role of LLMs in Adjusting Work Environments

Lara Vartziotis, Tina Vartziotis, Frank Beutenmueller +4

In remote and hybrid work contexts, the integration of physical and digital environments is revolutionizing spatial experiences, collaboration, and interpersonal interactions. This…

cs.CY2025★ 1 cited

Carbon Footprint Evaluation of Code Generation through LLM as a Service

Tina Vartziotis, Maximilian Schmidt, George Dasoulas +7

Due to increased computing use, data centers consume and emit a lot of energy and carbon. These contributions are expected to rise as big data analytics, digitization, and large AI…

cs.SE2024★ 1 cited

Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation

Tina Vartziotis, Ippolyti Dellatolas, George Dasoulas +5

The increasing use of information technology has led to a significant share of energy consumption and carbon emissions from data centers. These contributions are expected to rise w…