Latest Publications

(2024). Breaking the Silence: the Threats of Using LLMs in Software Engineering. ICSE'24.

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(2023). Batching for Green AI - An Exploratory Study on Inference. SEAA'23.

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(2023). The Two Faces of AI in Green Mobile Computing: A Literature Review. SEAA'23.

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(2023). Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI. CAIN'23.

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(2023). Retrain AI Systems Responsibly! Use Sustainable Concept Drift Adaptation Techniques. GREENS'23.

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(2023). A Systematic Review of Green AI. WIREs Data Mining and Knowledge Discovery.

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(2022). On the role of computer languages in scientific computing. IEEE Computing in Science and Engineering.

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(2022). Data-Centric Green AI: An Exploratory Empirical Study. International Conference on ICT for Sustainability (ICT4S).

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(2021). When Scientific Software Meets Software Engineering. IEEE Computer.

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(2021). A Hitchhiker's Guide to Model-Driven Engineering for Data-Centric Systems. IEEE Software.

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(2020). Loop Aggregation for Approximate Scientific Computing. International Conference on Computational Science – ICCS 2020.

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