I hold a Ph.D. in Computer Science from the Universidad Nacional del Sur (Buenos Aires, Argentina), with doctoral research focused on probabilistic structured argumentation applied to cybersecurity. My research interests span neurosymbolic AI, argumentation systems, cybersecurity, and logic programming, with a focus on integrating symbolic reasoning and deep learning models to solve real-world problems.
Education
Data Science Specialist
June 2023
Universidad Nacional del Sur, Buenos Aires, Argentina
Ph.D. in Computer Science
June 2022
Universidad Nacional del Sur, Buenos Aires, Argentina
Bachelor's degree in Information Systems
March 2017
Universidad Nacional de Santiago del Estero, Santiago del Estero, Argentina
Research
- Postdoctoral Fellow, National Science and Technical Research Council (CONICET), Department of Computer Science and Engineering (DCIC), Universidad Nacional del Sur.
- Publication of various research papers on Probabilistic Structured Argumentation and Cybersecurity.
Teaching
- Teaching Assistant. Course: Algorithms and Complexity
- Teaching Assistant. Course: Simulation
Publicactions
For an overview of citations of my papers, please view my Google Scholar profile.
Selected Publications
- Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments: Mario Leiva, Noel Ngu, Joshua S. Kricheli, Aditya Taparia, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian, John Corcoran, Gerardo Simari. Proceedings of the AAAI Conference on Artificial Intelligence, 40(23), 19216-19223, 2026.
- Effectively Benchmarking Structured Argumentation Systems via the Synthetic Generation of DeLP Knowledge Bases: Mario A. Leiva, Gianvincenzo Alfano, Gerardo I. Simari. Accepted, in press, Knowledge-Based Systems, 2025.
- Argumentation-Based Query Answering under Uncertainty with Application to Cybersecurity: Mario A. Leiva, Alejandro J. García, Paulo Shakarian, Gerardo I. Simari. Big Data and Cognitive Computing (MDPI), 6(3), 91, 2022.
- Probabilistic Defeasible Logic Programming: Towards Explainable and Tractable Query Answering (Extended Abstract): Mario A. Leiva, Alejandro J. García, Paulo Shakarian, Gerardo I. Simari. 37th International Conference on Logic Programming (ICLP), 2021. Also presented at the Doctoral Consortium of the same event.
- DAQAP: Defeasible Argumentation Query Answering Platform: Mario A. Leiva, Gerardo I. Simari, Sebastian Gottifredi, Alejandro J. García, Guillermo R. Simari. 13th International Conference on Flexible Query Answering Systems, 2019.
- Guidelines for the analysis and design of argumentation-based recommendation systems: Mario A. Leiva, Maximiliano C. Budan, Gerardo I. Simari. IEEE Intelligent Systems, 35(5), 28-37, 2020.
- VLC Fusion: Vision-Language Conditioned Sensor Fusion for Robust Object Detection: Aditya Taparia, Noel Ngu, Mario Leiva, Joshua S. Kricheli, John Corcoran, Nathaniel D. Bastian, Gerardo Simari, Paulo Shakarian, Ransalu Senanayake. The Fourteenth International Conference on Learning Representations (ICLR), 2026.
- Machine Learning Model Integration with Open World Temporal Logic for Process Automation: Dyuman Aditya, Colton Payne, Mario Leiva, Paulo Shakarian. 41st International Conference on Logic Programming (ICLP), 2025.
- Error Detection and Correction for Interpretable Mathematics in Large Language Models: Yijin Yang, Cristina Cornelio, Mario Leiva, Paulo Shakarian. Proceedings of the AAAI Symposium Series, 7(1), 283-292, 2025.
- A Conceptual Framework for AI Capability Evaluations: María V. Carro, Denise A. Mester, Francisca G. Selasco, Luca N. F. Gangi, Matheo S. Musa, Lola R. Pereyra, Mario Leiva, Juan G. Corvalán, María V. Martinez, Gerardo Simari. arXiv preprint arXiv:2506.18213, 2025.
- AI Debaters are More Persuasive when Arguing in Alignment with Their Own Beliefs: María V. Carro, Denise A. Mester, Facundo Nieto, Oscar A. Stanchi, Guido E. Bergman, Mario A. Leiva, Eitan Sprejer, Luca N. F. Gangi, Francisca G. Selasco, Juan G. Corvalán. arXiv preprint arXiv:2510.13912, 2025.
- Do Large Language Models Show Biases in Causal Learning? Insights from Contingency Judgment: María V. Carro, Denise A. Mester, Francisca G. Selasco, Giovanni F. G. Marraffini, Mario A. Leiva, Gerardo I. Simari, María V. Martinez. arXiv preprint arXiv:2510.13985, 2025.
Software
A small selection of my open-source projects that can be found on my github page:
DPG: A DeLP Program Generator
DAQAP Platform: The DAQAP platform
DeLP3E: This repository contains all the files needed to generate DeLP3E models and run the world sampling and subprogram sampling algorithms.
DungGraphs: A web tool to plot dung graphs