June Sallou

Office 6016, Building 201 (Leeuwenborch)

Wageningen, The Netherlands

june.sallou{AT}wur{DOT}nl

I am an Assistant Professor in Sustainable Software Engineering at Wageningen University, in the Information Technology research group. I lead the Green Computing Track dedicated to making scientific software, software systems, and AI systems more energy-efficient and environmentally responsible.

My work sits at the intersection of scientific software engineering, AI systems, and environmental sustainability. I ask questions like: How much energy does an AI-based system really consume, and can we cut it without sacrificing accuracy? How do we design software architectures that are aware of their carbon footprint? How do we engineer scientific software so experiments are reproducible, maintainable, and energy-aware? Can we build tools that make Green AI the default, not an afterthought?

Concretely, my research spans:

🔋 Green AI & efficient agentic systems — profiling, pruning, and benchmarking the energy cost of MLOps across hardware platforms
🧪 Sustainable scientific software engineering — methods for building reproducible, robust, and maintainable scientific software and experiment pipelines, with lifecycle-aware architecture choices
🌍 Carbon-aware and energy-aware software operation — scheduling and runtime strategies that adapt software behavior to energy constraints and grid carbon intensity
📏 Measurement, benchmarking & tooling — open-source methods and tools to reliably measure software and AI energy consumption in real-world conditions

I also develop communication and decision-support tools (e.g., interactive/VR formats) to help practitioners and stakeholders better understand the environmental impact of AI systems.

“The best time to make software sustainable was at the start of the project. The second best time is now.”

🎓 Prospective students

I am looking for motivated Master’s thesis students interested in Green AI, scientific software engineering, energy-efficient software, and sustainable computing. Before contacting me, please have a look at my recent publications to get a sense of the kind of problems I find interesting. If they resonate with your own curiosity, I’d love to hear from you.

Open thesis opportunities are listed on the dedicated page: View current thesis offers.

You can also propose your own topic if it aligns with my research directions.

News

Apr 16, 2026	Giving a workshop at ICAI Summer School 2026 on measuring and reducing the AI energy footprint (event page).
Apr 10, 2026	Paper accepted at ICVR 2026: Carbon Chat: A Virtual Reality Game to Raise Awareness of the Environmental Impact of LLMs.
Apr 03, 2026	Paper accepted in Automated Software Engineering: Advancing Research Software Engineering with AI: A Research Framework.
Apr 02, 2026	Paper published in Entertainment Computing: Game engines for sustainable open science software: a case study.
Mar 30, 2026	Paper accepted in IEEE Software: Making Sense of AI Agents Hype: Adoption, Architectures, and Takeaways from Practitioners.
Dec 11, 2025	AGORA-6G is awarded 4TU.NIRICT Research Funding for reproducible and governable Open RAN testbeds in AI-native 6G (official announcement).
Oct 31, 2025	Quantum4EnergyNL receives funding from the 4TU.NIRICT & 4TU.Energy Joint Call Community Funding 2025 (project website).

Selected Publications

Agentic AI

Making Sense of AI Agents Hype: Adoption, Architectures, and Takeaways from Practitioners

Ruoyu Su, Matteo Esposito, Roberta Capuano, and 4 more authors

IEEE Software, Mar 2026

DOI Bib HTML PDF

@article{Su2026Mar,
  author = {Su, Ruoyu and Esposito, Matteo and Capuano, Roberta and Omar, Rafiullah and Sallou, June and Muccini, Henry and Taibi, Davide},
  title = {{Making Sense of AI Agents Hype: Adoption, Architectures, and Takeaways from Practitioners}},
  journal = {IEEE Software},
  year = {2026},
  month = mar,
  doi = {10.48550/arXiv.2604.00189},
  url = {https://arxiv.org/abs/2604.00189},
  selected = true
}

Green AI

Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices

Luís Cruz, João Paulo Fernandes, Maja H. Kirkeby, and 22 more authors

SIGSOFT Softw. Eng. Notes, Jul 2025

DOI Bib HTML

@article{Cruz2025Jul,
  author = {Cruz, Luís and Fernandes, João Paulo and Kirkeby, Maja H. and Mart{\ifmmode\acute{\imath}\else\'{\i}\fi}nez-Fern{\ifmmode\acute{a}\else\'{a}\fi}ndez, Silverio and Sallou, June and Anwar, Hina and Barba Roque, Enrique and Bogner, Justus and Casta{\ifmmode\tilde{n}\else\~{n}\fi}o, Joel and Castor, Fernando and Chasmawala, Aadil and Cunha, Sim{\ifmmode\tilde{a}\else\~{a}\fi}o and Feitosa, Daniel and Gonz{\ifmmode\acute{a}\else\'{a}\fi}lez, Alexandra and Jedlitschka, Andreas and Lago, Patricia and Muccini, Henry and Oprescu, Ana and Rani, Pooja and Saraiva, Jo{\ifmmode\tilde{a}\else\~{a}\fi}o and Sarro, Federica and Selvan, Raghavendra and Vaidhyanathan, Karthik and Verdecchia, Roberto and Yamshchikov, Ivan P.},
  title = {{Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices}},
  journal = {SIGSOFT Softw. Eng. Notes},
  volume = {50},
  number = {3},
  pages = {14--23},
  year = {2025},
  month = jul,
  issn = {0163-5948},
  publisher = {Association for Computing Machinery},
  doi = {10.1145/3743095.3743099},
  url = {https://doi.org/10.1145/3743095.3743099},
  selected = true
}

Green AI

A systematic review of Green AI

Roberto Verdecchia, June Sallou, and Luís Cruz

WIREs Data Min. Knowl. Discovery, Jul 2023

DOI Bib HTML PDF

@article{Verdecchia2023Jul,
  author = {Verdecchia, Roberto and Sallou, June and Cruz, Luís},
  title = {{A systematic review of Green AI}},
  journal = {WIREs Data Min. Knowl. Discovery},
  volume = {13},
  number = {4},
  pages = {e1507},
  year = {2023},
  month = jul,
  issn = {1942-4787},
  publisher = {John Wiley {\&} Sons, Ltd},
  doi = {10.1002/widm.1507},
  selected = true,
}