Valentino Santucci

Valentino Santucci
Professore di II fascia
ING-INF/05
Dipartimento di Scienze umane e sociali internazionali (SUSI)
PDF icon Curriculum Vitae
Nota biografica: 

Valentino Santucci (Ph.D.) is an Associate Professor of Computer Engineering at the University for Foreigners of Perugia (Italy), where he is the Vice Rector for Technology Transfer from 2021. He received his Ph.D. in Computer Science and Mathematics from the University of Perugia (Italy) in 2012. His main research interests are in the broad areas of Artificial Intelligence and Computational Intelligence. In particular, in the area of Evolutionary Computation, his research focuses on algebraic frameworks for studying combinatorial search spaces and the dynamics of evolutionary algorithms. Other areas of interest include natural language processing and machine learning applications to both e-learning and sustainability issues. He is also an enthusiast of technology-enhanced learning methods. He has authored over fifty scientific publications, organised special sessions and workshops at international conferences, and served as editor and guest editor for WoS/Scopus indexed scientific journals. Finally, he has taught artificial intelligence, computer science and information technology at the University for Foreigners of Perugia, the University of Perugia and the Hong Kong Baptist University.

Aree di ricerca: 
Artificial Intelligence
Evolutionary Computation
Natural Language Processing
Technology Enhanced Learning
Sustainability related applications of AI
Settori ERC: 
PE6_11 Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
PE6_7 Artificial intelligence, intelligent systems, natural language processing
PE6_6 Algorithms and complexity, distributed, parallel and network algorithms, algorithmic game theory
Pubblicazioni: 

Selected Publications:

  • Santucci, V., Baioletti, M., & Milani, A. (2016). Algebraic differential evolution algorithm for the permutation flowshop scheduling problem with total flowtime criterion. IEEE Transactions on Evolutionary Computation, 20(5), 682-694. [Details]
  • Santucci, V., Baioletti, M., & Milani, A. (2020). An algebraic framework for swarm and evolutionary algorithms in combinatorial optimization. Swarm and Evolutionary Computation, 55, 100673. [Details]
  • Santucci, V., & Ceberio, J. (2020). Using pairwise precedences for solving the linear ordering problem. Applied Soft Computing, 87, 105998. [Details]
  • Baioletti, M., Milani, A., & Santucci, V. (2020). Variable neighborhood algebraic differential evolution: An application to the linear ordering problem with cumulative costs. Information Sciences, 507, 37-52. [Details]
  • Santucci, V., Baioletti, M., & Di Bari, G. (2021). An improved memetic algebraic differential evolution for solving the multidimensional two-way number partitioning problem. Expert Systems with Applications, 178, 114938. [Details]
  • Santucci, V., Santarelli, F., Forti, L., & Spina, S. (2020). Automatic classification of text complexity. Applied Sciences, 10(20), 7285. [Details]
  • Santucci, V., Sbardella, T., Biscarini, C., Spina, S., & Grego, G. (2019). Soft skills with learning technologies: the project at the University for Foreigners of Perugia. In INTED2019 Proceedings. 13th International Technology, Education and Development Conference. March 11th-13th, 2019, Valencia, Spain (pp. 3700-3708). IATED. [Details]
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Insegnamenti: 

2023-2024

2022-2023