F.J. Castor de Lima Filho PhD | People Pages: Find employees & contact details

Fernando Castor is, since September 2023, an Associate Professor at the Faculty of Electrical Engineering, Mathematics, and Computer Science of the University of Twente. His research activity is mainly located within the areas of Software Engineering and Programming Languages and seeks to identify efficient ways to develop software that behaves efficiently. Over the past five years, his research has focused on the energy efficiency of software systems, in particular, on how exploiting the design diversity of preexisting software components can be an inexpensive way to save energy. Furthermore, he has also been investigating how constructs for concurrency control and parallel execution management impact attributes such as performance, energy efficiency, and ease of maintenance. His research is in part experimental and in part based on the analysis of large scale open source code repositories.

Organisations

Publications

2026

An Initial Exploration of Contrastive Prompt Tuning to Generate Energy-Efficient Code (2026)[Working paper › Preprint]. ArXiv.org. Weidmann, S. & Castor, F.Towards Green AI: Decoding the Energy of LLM Inference in Software Development (2026)[Working paper › Preprint]. ArXiv.org. Solovyeva, L. & Castor, F.

2025

Understanding Underrepresented Groups in Open Source Software (2025)In Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering , EASE, 2025 edition, EASE 2025 (pp. 919-928). Association for Computing Machinery, Inc. Santos, R., Prado, R., De Holanda Silva, A. P., Gama, K., Castor, F. & De Souza Santos, R.https://doi.org/10.1145/3756681.3757051A comparative study about the performance of multi-language tools in computation offloading scenarios (2025)Journal of supercomputing, 81(15). Article 1441. de Matos, F., Rego, P. A. L., Trinta, F. & Castor, F.https://doi.org/10.1007/s11227-025-07921-4Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices (2025)Software engineering notes, 50(3), 14-23. Cruz, L., Fernandes, J. P., Kirkeby, M. H., Martínez-Fernández, S., Sallou, J., Anwar, H., Barba Roque, E., Bogner, J., Castaño, J., Castor, F., Chasmawala, A., Cunha, S., Feitosa, D., González, A., Jedlitschka, A., Lago, P., Muccini, H., Oprescu, A., Rani, P., … Yamshchikov, I. P.https://doi.org/10.1145/3743095.3743099AI-Powered, But Power-Hungry? Energy Efficiency of LLM-Generated Code (2025)In Proceedings - 2025 IEEE/ACM 2nd International Conference on AI Foundation Models and Software Engineering, FORGE 2025 (pp. 49-60). IEEE. Solovyeva, L., Weidmann, S. & Castor, F.https://doi.org/10.1109/Forge66646.2025.00012Language Models in Software Development Tasks: An Experimental Analysis of Energy and Accuracy (2025)In 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories, MSR 2025 (pp. 725-736). IEEE. Alizadeh, N., Belchev, B., Saurabh, N., Kelbert, P. & Castor, F.https://doi.org/10.1109/MSR66628.2025.00109AI-Powered, But Power-Hungry?: Energy Efficiency of LLM-Generated Code (2025)[Working paper › Preprint]. ArXiv.org. Solovyeva, L., Weidmann, S. & Castor, F.Understanding Code Understandability Improvements in Code Reviews (2025)IEEE transactions on software engineering, 51(1), 14-37. Article 10670481. Oliveira, D., Santos, R., De Oliveira, B., Monperrus, M., Castor, F. & Madeiral, F.https://doi.org/10.1109/TSE.2024.3453783

2024

AthenaLLM: Supporting Experiments with Large Language Models in Software Development (2024)In 2024 IEEE/ACM 32nd International Conference on Program Comprehension (ICPC) (pp. 69-73). Article 10556498 (IEEE International Conference on Program Comprehension; Vol. 2024). IEEE. Oliveira, B. D. & Castor, F.https://doi.org/10.1145/3643916.3644437

Research profiles

Courses academic year 2026/2027

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2025/2026

Courses academic year 2024/2025

Address

University of Twente

Zilverling (building no. 11), room 3098
Hallenweg 19
7522 NH Enschede
Netherlands

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