DeGroote School of Business
Research Project: AI for Cybersecurity
Advanced Machine Learning and Intelligent Decision Support Systems for User Anomaly Behavior Discovery in Large Transaction Systems
In this research we apply machine learning techniques, in particular, Recurrent Neural Network algorithm called Long Short-Term Memory (LSTM), Word2Vec, and Feature Engineering to …
Our cybersecurity solution is developed on the NVidia DGX server platform which utilizes Tesla V100 GPUS. We use Apache Spark, Python, KNIME and apply machine learning techniques such as LSTM, Word2Vec, …
Related Research & Technologies
Eduardo joined the PhD program in September 2017. His research interest are in the area of Information Systems: Artificial Intelligence (AI), data science, cybersecurity and IT governance.
Eduardo is an engineer (electronics) from Universidad Javeriana (Colombia). He completed his MBA degree at McGill University in Montréal (with double concentration in Finance and Management Information Systems).
His work experience includes positions of increasing responsibility in the area of Information Technology for multiple global corporations including the Johnson & Johnson group of companies, Biovail Pharmaceuticals (now Valeant Pharmaceuticals International) and Danby Appliances inc.
Understanding the pivotal role that Information Technology — and more specifically data science, machine learning, cybersecurity — plays in most industries, Eduardo is now leveraging his passion for research in pursuing further graduate studies in Information Systems at the DeGroote School of Business (McMaster University). Eduardo has been a Project Management Professional (PMP) since 2005, and held certifications in Enterprise Architecture (TOGAF), Supply Chain Management (APICS) and Six Sigma (Johnson & Johnson).