Artificial Intelligence & Machine Learning
Deep learning and reinforcement learning for complex cyber-physical and socio-technical systems, with emphasis on robust and interpretable decision making.
Juan Gómez Romero
I'm a Professor of Computer Science and Artificial Intelligence at Universidad de Granada, where I co-lead the SAIL laboratory on Applied Artificial Intelligence and Sustainability. My research centers on machine learning and knowledge engineering, particularly their application to the modeling, simulation, and control of complex systems.
Research lines
Energy Systems & Smart Buildings
Artificial intelligence for smart grid management, focusing on physics-informed system identification and simulation-based optimization in buildings.
Disinformation & Online Platforms
Computational analysis of disinformation and conspiracy narratives on online platforms, including explainable AI and topic modelling.
Knowledge Representation & Ontologies
Knowledge graphs, ontologies, and fuzzy extensions of description logics to represent imprecision and uncertainty.
Selected publications
Google Scholar ORCID- (2025). Sinergym: A virtual testbed for building energy optimization with Reinforcement Learning . Energy and Buildings, 327, 115075.
- (2025). MELGYM: A dynamic control interface for MELCOR simulations . SoftwareX, 30, 102148.
- (2025). Time series forecasting techniques applied to hydroelectric generation systems . International Journal of Electrical Power & Energy Systems, 164, 110424.
- (2025). pytopicgram: A library for data extraction and topic modeling from Telegram channels . SoftwareX, 30, 102141.
- (2024). Semantic Building Information Modeling: An empirical evaluation of existing tools . Journal of Industrial Information Integration, 42, 100731.
- (2024). Can deep learning search for exceptional chiroptical properties? The halogenated [6]helicene case . Angewandte Chemie, e202409998.
- (2024). An experimental evaluation of Deep Reinforcement Learning algorithms for HVAC control . Artificial Intelligence Review, 57, 173.
- (2023). Multivariate time series imputation for energy data using attention modeling . Energy and AI, 100239.
- (2023). Physics-informed neural networks for data-driven simulation: Advantages, limitations, and opportunities . Physica A: Statistical Mechanics and Its Applications, 610, 128415.
- (2020). Towards a large-scale Twitter observatory for political events . Future Generation Computer Systems, 110, 976–983.
Selected projects
IA4TES – Artificial Intelligence for the Energy Transition and Sustainability
Deep learning and deep reinforcement learning for modeling, simulation and control of distributed energy resources in the smart grid.
IBERIFIER (Plus) – Iberian Digital Media Observatory
Observatory for digital media in the Iberian Peninsula, combining fact-checking, data journalism and Artificial Intelligence to fight against disinformation.
IFMIF-DONES Universidad de Granada
Machine learning and MELCOR-based modeling for IFMIF-DONES safety elements, supporting the design and evaluation of the HVAC and purification subsystems.