Miguel Alves Gomes, M.Sc.
Scientific Researcher
Area of Research:
- Recommender Systems
- Data Mining
- Data Analytics
- Machine Learning and Deep Learning
- Explainable AI with Transformers
Biography
Miguel Alves Gomes joined the Institute for Technologies and Management of Digital Transformation at the University of Wuppertal in December 2020 as a research associate and doctoral student. In his research, Mr. Alves Gomes deals with personalized recommender systems. The focus is on the combination of unsupervised and supervised machine learning methods as well as the data mining methods required for this purpose.
Mr. Alves Gomes first studied Information Technology with a focus on Information Science in his Bachelor's degree and then Computer Science with a focus on Data Analytics in his Master's degree at the University of Wuppertal. During this time, he also worked as a student assistant at the Institute for Technologies and Management of Digital Transformation. In his master's thesis, he investigated the language understanding of Transformer-based neural networks by visualizing model-internal information.
