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Scientific
Member of the Program Committee of the 27th European Conference on Artificial Intelligence (ECAI 2024) Member of the Program Committee of the 16th International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2024) Member of the Program Committee of the 24th Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2024) Member of the Program Committee of the 12th International Symposium on Computing and Networking (CANDAR 2024) Member of the Program Committee of the 3rd Italian Conference on Big Data and Data Science (ITADATA 2024).
News
New Research Paper: Andrea D'Ascenzo and Mattia D'Emidio. On Mining Dynamic Graphs for k Shortest Paths. In Proceedings of 16th International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2024), to appear.
Innovation
Co-Founder of start-up TEEMA, spin-off of the University of L'Aquila. We develop web-based tools to model complex systems and analyze their (geometrical and electromagnetic) properties through fast and scalable cloud-based algorithms for big-data
Teaching
Teaching Big Data: Models and Algorithms and Algorithm Engineering @ Dept. of Information Engineering, Computer Science and Mathematics (DISIM) of University of L'Aquila (Italy).
Research Interests
I am interested in the Design, Analysis and Efficient Implementation of Algorithms. My work follows an Algorithm Engineering approach, combining theory and experimentation, and is (currently) mostly focused on: algorithms for efficient processing of massive (possibly dynamic) graphs; study of distributed systems, networks, systems of autonomous entities (e.g. agents, robots or drones) from an algorithmic perspective (including game theoretic, strategic aspects).
Academia
Associate Professor of Computer Engineering (09/H1 - ING-INF/05) @ Dept. of Information Engineering, Computer Science and Mathematics (DISIM) of University of L'Aquila (Italy).Holding the National Scientific Habilitation as Associate Professor in both Computer Engineering (ING-INF/05) and Computer Science (INF/01) scientific sectors.