Wesley De Neve

Wesley De Neve

Wesley De Neve

email: Wesley.DeNeve@ghent.ac.kr
tel.: +32 9 331 49 60
research group: IDLab

Wesley De Neve received the M.Sc. degree in Computer Science and the Ph.D. degree in Computer Science Engineering from Ghent University, Ghent, Belgium, in 2002 and 2007, respectively. He is currently working as an Associate Professor for both the IDLab at Ghent University in Belgium and the Center for Biotech Data Science at the Ghent University Global Campus (GUGC) in Korea. His teaching responsibilities are in the areas of Informatics (scientific problem solving using Python and UNIX) and Bioinformatics (algorithmic design and analysis at the intersection of computer science and biology). His research focuses on the development of novel compression and machine learning approaches towards the representation and analysis of multimedia content (that is, text and video) and biotech data (that is, omics data and medical images).

Keywords: Biotech, Deep learning, Machine learning, Genomic data analysis, Multimedia content analysis