Mario F. Pavone

Research

My research is focused on the design and development of metaheuristics and nature inspired methodologies for combinatorial optimization problems and in the research area of computational & systems biology. In particular, in these years my research works have been mainly focused on community detection in social and biological networks; integration between metaheuristics and machine learning; combinatorial optimization problems; dynamic interactions detection in social behaviours; parameters extraction in biological networks (Gene Regulatory Network in the S-system model); protein structure prediction in the HP model; and functions optimization.

Have a look also in our research group activities.

○ Google Scholar Citations: 1313  —  h-index: 17  —  i10-index: 20
    (last updated: Jan. 7, 2023)

○ Scopus Citations: 848    —    h-index: 13
    (last updated: Jan. 7, 2023)

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Recent Publications

C. Cavallaro, V. Cutello, and M. Pavone, "A fast methodology to find Decisively Strong Association Rules (DSR) by mining datasets of security records", International Conference on Optimzation and Learning (OLA), CCIS Springer, 2023.

A.G. Spampinato, R.S. Scollo, V. Cutello, and M. Pavone, "Random Search Immune Algorithm for Community Detection", Soft Computing, Springer, 2023.

R.S. Scollo, A.G. Spampinato, G. Fargetta, V. Cutello, and M. Pavone, "Discovering Entities Similarities in Biological Networks Using a Hybrid Immune Algorithm", Informatics, 2023.

M. R. H. Maia, M. Reula, C. Parreño-Torres, P. P. Vuppuluri, A. Plastino, U. S. Souza, S. Ceschia, M. Pavone, and A. Schaerf, "Metaheuristic Techniques for the Capacitated Facility Location Problem with Customer Incompatibilities", Soft Computing, Springer, 2022.

C. Crespi, G. Fargetta, M. Pavone, and R.A. Scollo, "An agent-based model for crowd simulation", The 16^th International Conference on on Artificial Life and Evolutionary Computation (WIVACE), Communications in Computer and Information Science (CCIS), 2023.

F. Zito, V. Cutello, and M. Pavone, "A Novel Reverse Engineering Approach for Gene Regulatory Networks", The 11^th International Conference on Complex Networks and their Applications (ComplexNetworks), Studies in Computational Intelligence, 2022.

C. Crespi, G. Fargetta, R.A. Scollo, and M. Pavone, "An Agent-Based Model to Investigate Different Behaviours in a Crowd Simulation", The 10^th International Conference on Bioinspired Optimization Methods and Their Applications (BIOMA), LNCS, 2022.

F. Zito, V. Cutello, and M. Pavone, "A Machine Learning Model for Inferring Gene Regulatory Networks", The 1^st Italian Conference on Big Data and Data Science (itaDATA), 2022.

F. Zito, V. Cutello, and M. Pavone, "Optimizing Multi-Variable Time Series Forecasting using Metaheuristics", The 14^th Metaheuristics International Conference (MIC), LNCS, 2022.

G. Bordonaro, R.A. Scollo, V. Cutello, and M. Pavone, "A Comparative Analysis of Different Multilevel Approaches for Community Detection", The 14^th Metaheuristics International Conference (MIC), LNCS, 2022.

C. Crespi, R.A. Scollo, G. Fargetta, and M. Pavone, "How a Different Ant Behavior Affects on the Performance of the Whole Colony", The 14^th Metaheuristics International Conference (MIC), LNCS, 2022.

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Events in Progress

International Conference on Optimization and Learning, OLA 2023, 3-5 May 2023, Malaga, Spain

"Metaheuristics: Recent Advances and Applications", special issue in International Transactions in Operational Research (ITOR) - Editors: Luca Di Gaspero, Paola Festa, Amir Nakib, Mario Pavone, & Mauricio Resende

"New Research Challenges in Optimization and Learning", special issue in Soft Computing (SOCO) - Editors: Lionel Amodeo, Bernabè Dorronsoro & Mario Pavone

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Current teaching

Heuristics & Metaheuristics for Optimization & Learning, MSc degree in Computer Science, University of Catania

Laboratory of Artificial Intelligence, MSc degree in Computer Science, University of Catania

Operating Systems, BASc degree in Computer Science, University of Catania

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