Summary
Jacson Correia-silva is a Brazilian academic and ML security researcher serving as Adjunct Professor at the Federal University of Espírito Santo, where he advances machine learning applications in security and threat mitigation. His Ph.D. investigates model extraction with unlabeled data, complementing M.Sc. work on detecting network attacks using genetic algorithms, neural networks, and fuzzy logic. He blends research with hands-on leadership in Linux systems, network administration, and computer forensics, and has steered Linux-based projects across academia and industry. An active open-source contributor, his GitHub work includes Stealing_DL_Models and gdfann, reflecting a rare mix of attack-model research and soft computing. His technical toolkit spans Python, C, Bash, and GNU/Linux, with proficiency across C++, PHP, JavaScript, and more, and he draws on roles ranging from network manager to project manager. Based in Alegre, Espírito Santo, he holds a PhD in Machine Learning from UFES and has enriched his credentials with study at Stanford and a Nanodegree from Udacity, underscoring a sustained commitment to bridging theory and production-ready security solutions.
10 years of coding experience
5 years of employment as a software developer
Nanodegree, Artificial Intelligence, Nanodegree, Artificial Intelligence at Udacity
English, basic and intermediate level, English, basic and intermediate level at CCAA
Doctor's Degree, Computer Science, Machine Learning, Doctor's Degree, Computer Science, Machine Learning at Universidade Federal do Espírito Santo (Oficial)
Master's degree, Artificial Intelligence and Computer Network, Master's degree, Artificial Intelligence and Computer Network at Universidade Federal de Viçosa
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Faculdades Integradas de Caratinga
Machine Learning, Machine Learning at Stanford University
Portuguese, English, Spanish