Mattia D'Emidio - Professor, Researcher, Engineer

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Scientific

Member of the PC of 25th Symposium on Algorithmic Approaches for Transportation Modeling, Optimization and Systems (ATMOS 2025)
Member of the PC of 28th European Conference on Artificial Intelligence (ECAI 2025)
Member of the PC of 23rd Symposium on Experimental Algorithms (SEA 2025)
Member of the PC of 4th Italian Conference on Big Data and Data Science (ITADATA 2025)

New Research Papers:
V. Bilò, A. D'Ascenzo, M. D'Emidio, G.F. Italiano. On the Performance of Mildly Greedy Players in k-Coloring Games. In Proc. of 50th International Symposium on Mathematical Foundations of Computer Science (MFCS 2025).
A. D'Ascenzo, M. D'Emidio, M. Flammini, G. Monaco. Digraph k-Coloring Games: New Algorithms and Experiments. Journal of Artificial Intelligence Research, 81: 163-202 (2024).

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. 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