Dr Luis Miralles started PhD in 2012 by creating new approaches within the Online Advertising world in the Faculty of Computer Science at the University of Murcia (Spain). He had a solid background in online advertising from his previous work experience in web design and Search engine optimization. While his PhD, he got familiar with Machine Learning (ML) and he published a good number of papers on topics related to how to apply ML to online advertising. He also has some important publications about Human Activity Recognition. After finishing my PhD, he worked in postdoc levels I and II in CeADAR, UCD and there, he published in a Digital Forensic conference and supervised a student that won the prize for the best student paper. He has also published papers on predictive maintenance applied to valve failure prediction. One of his research topics is how to apply Reinforcement Learning to fight the COVID-19 pandemic and to plan the containing levels considering both public health and the economy. He has supervising experience in TU Dublin and co-supervising a PhD student on generalised zero-shot learning (GZSL), and another thesis on improving the accessibility around web navigation that many people face using ML and especially, Reinforcement Learning. His research areas sorted by interest are: COVID-19 using machine learning, online advertising, Web accessibility, Human activity recognition, Digital forensics, Zero-Shot learning, and Predictive maintenance using time series.

Machine Learning