Short Bio

Jesús F. Cevallos M. received a Ph.D. in Computer Science Engineering from Sapienza University (Rome) in 2022. He now covers a post-doc researcher position at the University of Insubria (Varese). His main research interests are industrial/ethical applications of Deep Learning with a special focus on Natural Language Processing and Neural Algorithmic Reasoning.

Research Group

Advisor: prof. Alessandra Rizzardi

Board: prof. Sabrina Sicari, prof. Alberto Coen-Porisini

Recent publications

Jesus Fernando Cevallos Moreno, Alessandra Rizzardi, Sabrina Sicari, Alberto Coen-Porisini: Deep Reinforcement Learning for Intrusion Detection in Internet of Things: Best Practices, Lessons Learnt, and Open Challenges. Computer Networks (Elsevier): 236 (2023) See online

Jesus Fernando Cevallos Moreno, R. Sattler, R. P. Caulier C., L. R. Celsi, A. Sánchez Rodríguez, and M. Mecella (2021): Online Service Function Chain Deployment for Live-Streaming in Virtualized Content Delivery Networks: A Deep Reinforcement Learning Approach. Future Internet (MDPI) 13 (11): 278 See online

Jesus Fernando Cevallos Moreno, P. Zarrineh, A. Sánchez, and M. Mecella (2022): DeepReGraph Co-Clusters Temporal Gene Expression and Cis-Regulatory Elements through Heterogeneous Graph Representation Learning. F1000Research 11: 518 See online

Jesus Fernando Cevallos Moreno: Deep Learning applications over Heterogeneous Networks: from Multimedia to Genes. Ph.D. Thesis Dissertation, Sapienza University of Rome, 2022/04 See online

L.R. Celsi, Jesus Fernando Cevallos Moreno, F. Kieffer, V. Paduano (2022): HR-specific NLP for the Homogeneous Classification of Declared and Inferred Skills. Applied Artificial Intelligence (Taylor & Francis), 36 (2022) See online