- Deep learning on non-Euclidean/irregular domains.
- The estimation of graph structures from datasets.
- Representation learning on the edge structures of graphs, especially directed edges
Michael Kenning's publications can be found on his ORCID page.
Michael P. Kenning graduated from the University of Bath with a first-class degree as a Bachelor of Science in Computer Science in 2017. In 2019 he graduated from Swansea University as a Master of Research in Visual Computing.
Since October 2019, he has been working on his PhD at Swansea University under the supervision of Prof. Xianghua Xie as part of the Computer Vision and Deep Learning research group.The topic of the PhD is "Deep Learning in Irregular Domains". He has been living in Bamberg since February 2023 while he completes his doctoral thesis.