I’m Davide Mario Longo, a Postdoctoral Researcher at TU Wien’s Institute of Logic and Computation, where I work on trustworthy and sustainable AI for data-intensive applications. My research sits at the intersection of Databases and AI, with a focus on query optimization, reasoning, and planning.

I earned my Ph.D. in Computer Science from TU Wien (2023). In 2021, I was a visiting researcher at the University of Basel, where I investigated database-driven techniques to improve the grounding of classical planning problems. This experience informed my subsequent work on neuro-symbolic approaches.

At TU Wien, I develop LLM-based NL-to-SQL methods that support green-aware data access. My goal is to reduce unnecessary computation while enabling secure and trustworthy use of sensitive data, by combining policy-aware query generation, access control and auditing, and resource-aware execution.

In earlier work within the FAIR initiative, I focused on neuro-symbolic planning to constrain agent behavior via logical rules, including ethical constraints enforced at execution time to provide stronger guarantees on responsible decision-making.

I also contribute to the research community as an Organizer and Program Chair of the 1st and 2nd Workshops on Green-Aware Artificial Intelligence (AIxIA 2024, ECAI 2025) and as organizer of the 1st Workshop on Cooperative AI Models and Applications (ADBIS 2025). Before joining TU Wien, I was an Assistant Professor at the University of Calabria (Italy).