Marco Aiello

Marco Aiello (born September 3, 1972) is an Italian-German computer scientist, author and professor.

Early life and professional career In 2002, Aiello obtained his PhD on modal logics of space with applications to document understanding and image retrieval under the supervision of Johan van Benthem and Arnold Smeulders from the University of Amsterdam. The work culminated in the collective work published as the Handbook of Spatial Logic. When he moved to the University of Trento in 2002, he became interested in service-oriented computing and the problem of service composition.

He spent 2017 on sabbatical leave at the University of Macquarie, Sydney, to work on his book about the Web. Inspired by a quote from Alan Kay, the book is a report and interpretation of the history of the Web, analyzing its strengths, weaknesses, and reasons for success.

In 2018, he accepted the offer of the position of professor and head of the service computing department at the Institute for Architecture of Application Systems (IAAS) at the University of Stuttgart. During his tenure at Stuttgart, Aiello's research focused on AI Planning for service composition, AI Planning for robot navigation, topological considerations in smart grids, and green ICT with particular attention to data center operations, microgrids, and electric vehicle interactions.

He is a member of the European Academy of Sciences and Arts, Editor in Chief of the IEEE Transactions on Service Computing, member of the Steering Committee of ICSOC, and Vice-President of Informatics Europe.

As an author (selected)

2003- Reasoning about space: the modal way 2007- Handbook of Spatial Logics 2013- Energy Intelligent Buildings based on User Activity: a Survey 2015- HTN planning: Overview, comparison, and beyond 2016- From the grid to the smart grid, topologically 2017- Metrics for sustainable data centers 2018- The Web Was Done by Amateurs 2023 – Enough hot air: the role of immersion cooling 2024 – Towards a Framework for Learning of Algorithms: The Case of Learned Comparison Sorts 2025 – A Paradigm Shift in Service Research: The Case of Service Composition