🔬 Research Focus
Profile
Jesús F. Cevallos M. received his Ph.D. in Computer Science Engineering from Sapienza University (Rome) in 2022. He now holds a postdoctoral researcher position at the University of Insubria (Varese, Italy).
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
Academic Services
Program Committee Member (TPC):
- International Conference on Responsible, Generative, and Explainable AI (ResGenXAI), 2025
- 7th International Workshop on Cyber-Security in Software-defined and Virtualized Infrastructures (SecSoft 25), 2025
Reviewer for Conferences:
- International Joint Conference on Artificial Intelligence (IJCAI-26), 2026
- International Joint Conference on Artificial Intelligence (IJCAI-25), 2025
- International Conference on Responsible, Generative, and Explainable AI (ResGenXAI), 2025
- 7th International Workshop on Cyber-Security in Software-defined and Virtualized Infrastructures (SecSoft 25), 2025
- International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob'20), 2024
Reviewer for Journals:
- Computer Networks
- Computers & Security
- Pervasive and Mobile Computing
- Transactions on Emerging Telecommunications Technologies
- Internet Technology Letters
- Journal of Information Assurance and Security
- IoT, Electronics, Symmetry, Eng, Applied Sciences, Sensors, Information
- International Journal of Computer Theory and Engineering
🎯 Recent Publications
Ethical AI
Ethical Treatment of Language Models Against Harmful Inference-Time Interventions
Can LLMs resist harmful representation engineering?
Neural Algorithmic Reasoning for Cybersecurity
SmartVille: A Framework for Realistic Deep Learning-Based Online Network Intrusion Detection
TIGER: An Open-Source Cyber-Threat Intelligence Game Environment for Reinforcement Learning
SereWay: Toward SEcurity and REliability Benchmarking for the RailWAY IIoT
Open-FARI: An Open-Source Testbed for Federated Anomaly Detection in the Railway IIoT
ASAP: Automatic Synthesis of Attack Prototypes, an online-learning, end-to-end approach
End-to-end online-learning approach using the relational-bottleneck Inductive Bias for Prototype attack synthesis from raw network traffic.
NERO: NEural algorithmic reasoning for zeRO-day attack detection in the IoT: A hybrid approach
Extreme value theory, the algorithmic way!
Deep Reinforcement Learning for Intrusion Detection in Internet of Things: Best Practices, Lessons Learnt, and Open Challenges
HERO: From High-dimensional network traffic to zERO-Day attack detection
Full firepower of the Neural Algorithmic Reasoning paradigm for zero-day attack detection!
Inductive Biases for Cybersecurity
ACID: beta-testing ACtive Inference for active cyber-Defence
A powerful optimal-control framework needs a powerful task to be tested against!
ASAP: Automatic Synthesis of Attack Prototypes
End-to-end online-learning approach using the relational-bottleneck Inductive Bias for Prototype attack synthesis from raw network traffic.
Deep Reinforcement Learning for Intrusion Detection in Internet of Things: Best Practices, Lessons Learnt, and Open Challenges
Collaborations
IoT-driven blockchain to manage the healthcare supply chain and protect medical records
RailRED: A Node-RED-Based Framework for Modeling Train Control Management Systems
Learning at the nano-scale: how to dynamically protect data in nano-network transmissions
Deep RL for vCDN Service Function Chain Deployment
Online optimization for live-streaming CDNs using dueling DDQN.
DeepReGraph: Heterogeneous Graph Learning for Gene Regulation
Deep learning approach for understanding embryonic regulatory mechanisms through graph representation learning.
SERENA-IIoT: Secure and Reliable IoT Systems
Collaborative research on secure and reliable IoT systems.
HR-specific NLP for the Homogeneous Classification of Declared and Inferred Skills
Deep Learning Applications over Heterogeneous Networks: from Multimedia to Genes
🎓 Education
Ph.D. in Computer Science Engineering
Sapienza University of Rome, 2022
Master's in Computer Science Engineering
Tor Vergata University of Rome, 2018
Bachelor's in Computer Science Engineering
Tor Vergata University of Rome, 2015
🧑🏫 Teaching Experience
Lecturer
Probability and Statistics for Computer Science
Insubria University, Varese, 2023/2024
Bachelor's degree in Computer Science
Advanced Coding Tools and Methodologies
Politecnico di Milano, 2022/2023
Master's degree in Music and Acoustic Engineering
📚 Guest Lectures
Immunisation of Language Models
Pontificia Universidad Católica del Ecuador, Sede Santo Domingo, 2026
Invited keynote speaker at the EHIC Academic Week, School of Habitat, Infrastructure and Creativity (Academic Period 2026-01)
Active Inference — Digital Workshop
Pontificia Universidad Católica del Ecuador, Sede Santo Domingo, 2025/2026
Digital Workshop for the EHIC Academic Week, School of Habitat, Infrastructure and Creativity
Active Inference
Universidad Técnica Particular de Loja (Ecuador), 2026
Seminar held within the Machine Learning course, Bachelor's degree in Computer Science
Introduction to Machine Learning
Pontificia Universidad Católica del Ecuador, Sede Ibarra, 2026
Seminar held within the Programming course, Bachelor's degree in Computer Science
How to Artificially Program an Intelligence
Insubria University (Italy), 2025
Bachelor's degree course on Legal Computer Science
Educating Ourselves to Educate in the Age of AI
Università degli Studi dell'Insubria (Italy), 2026
Seminar held within the course "Artificial Intelligence in Community Work," Master's Program for Intercultural Community Educators (EDC)
AI and Cyber-security
Insubria University (Italy), 2023
Bachelor's degree course on Legal Computer Science
AI Working Principles: Advantages and Disadvantages
Insubria University (Italy), 2024
Bachelor's degree course on Legal Computer Science
An Extremely Gentle Introduction to Active Inference
Insubria University (Italy), 2025
Bachelor's degree course on Legal Computer Science
Inductive Biases for Meta-Learning
Federico II University (Italy), 2024 - A Research Retrospective
Machine Learning Meets the Internet of Things
Insubria University (Italy), 2023
Guest Lecture on the Innovative IoT PhD course
🔬 Research Interests
AI-based Cyber-Security Applications for the IoT
🚀 Projects
SERENA-IIoT: Secure and Reliable IoT Systems
Collaborative research on secure and reliable IoT systems.
💬 Contact
I'm always open to discussing research collaborations, interesting AI problems, or just chatting about the latest developments in deep learning and cybersecurity.
Department of Theoretical and Applied Science (DiSTA)
Padiglione Rossi, Via Ottorino Rossi 9
21100 Varese (VA), Italy