Projects

Ongoing and Recent Projects:

• Membrane Computing applied to Multi-Agent Systems in Population Biology

• Machine Learning for Computational Epidemiology of Infectious Diseases

• Machine Learning Applied to Quantum Mechanics 

• Quantum Machine Learning

• Machine Learning for Classical Multi-Agent Systems

• Generative Adversarial Networks for Multi-Agents Systems

• Heuristic Global Optimization algorithms in Quantum Mechanics

• Generative Adversarial Networks (manuscript submitted to a Q1 journal) 

• Genetic Programming (in particular: semantics-based methods for GP) (ArXiv preprint)

• Data symmetries and Learning in fully connected neural networks (paper published in IEEE Access)

• Julia Language for inferences in Computational Oncology (paper published in BMC Bioinformatics)

• Adversarial Attacks to Artificial Neural Networks (ms submitted to a Core Class A Computer Science Conference, ArXiV preprint)

• Bayesian Learning algorithms in Oncogenomics

• Heuristic Global Optimization algorithms for Multi-Agent Systems for a Evolutionary Game-Theoretic approach to Behavioral Epidemiology of Infectious Diseases

• Hybrid Stochastic Multi-Agents Systems

• Algorithms for inference in Chaotic Dynamical Systems