I am a published researcher in machine learning, generative AI, cybersecurity, anomaly detection, and recommendation systems. I am an expert in software, AIML, data, analytics, cybersecurity, and pattern recognition with experience in academia, the private, and the public sector. My credentials include two Masters from Department of Electrical Engineering and Computer Science and industry renowned technology certifications (ISC2, iAPP, ISACA, PMI, Linux, CompTia, etc). I am currently a PhD candidate at Department of Electrical Engineering and Computer Science. I enjoy programming software for fun and playing musical instruments like the guitar.
Interests include cybersecurity, recommender systems, and machine learning. Having programming skills in C++, Java and Python help. Databases familiarity include MySQL and Oracle. I use Sklearn, LightBGM, and Apache Spark in experiments. AWS familiarity and Docker.
Research Github Academic GithubStarted back in 2019. My research career is young, but thanks to exemplary role models (e.g. my advisors) I am a published and cited author. My works are published in leading interdisciplinary academic journals and are featured in leading re-print indexing sites such as Arxiv.
Google ScholarHaving been sponsored by the NSF and the Department of Education so far, I show great pride, trustworthiness, and a sense of responsibility in my work. My research is focused on applied research. My goal is to show research that has applied uses in society.
Google ScholarA survey and taxonomy of adversarial neural networks for text-to-image synthesis
Authors: Jorge Agnese, Jonathan Herrera, Haicheng Tao, Xingquan Zhu
Wiley Arxiv Google Scholar SemanticScholar ResearchgateMachine learning, Feature Selection, Anomaly identification, Cybersecurity, Digital Payment Fraud Detection
Authors: Jonathan Herrera
Machine learning, Feature Engineering, Anomaly identification, Cybersecurity, Digital Payment Fraud Detection
Authors: Jonathan Herrera
Machine learning, AI operationalization, Distributed Systems, Anomaly identification, Digital Payment Fraud Detection
Authors: Jonathan Herrera