I'm John, and this is my researcher site. I got experience in publishing machine learning and deep learning research, technical interdisciplinary research, cybersecurity, anomaly detection, and recommendation systems. I earned 2 masters of science, industry certifications, and will earn my CS PhD tentatively by the end of 2021. I enjoy playing musical instruments like the guitar and digital midis (e.g. piano).
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 ResearchgateAnomaly and pattern identification.
Authors: John