Research Associate
Nature-Inspired Machine Learning (NIMI)
Nature, and all that it encompasses, has influenced computer science, in particular Artificial Intelligence, from its inception. Many effective tools, mechanisms, processes, algorithms, methods, and systems have been proposed inspired by nature. For example, Neural Networks are roughly inspired by the cognitive brain function, Genetic Algorithms are inspired by evolution and the survival of the fittest, and Artificial Immune Systems are inspired by their biological equivalents. Further examples include swarm or collective approaches, that are inspired by colonies of insects and birds. Current AI methods have the following weaknesses:
2022
Data science with Vadalog: Knowledge Graphs with machine learning and reasoning in practice Journal Article
In: Future Gener. Comput. Syst., vol. 129, pp. 407–422, 2022.
Rule Learning over Knowledge Graphs with Genetic Logic Programming Proceedings Article
In: 38th IEEE International Conference on Data Engineering, ICDE 2022, Kuala Lumpur, Malaysia, May 9-12, 2022, pp. 3373–3385, IEEE, 2022.
2020
An Evolutionary Algorithm for Rule Learning over Knowledge Graphs Proceedings Article
In: Sallinger, Emanuel; Vahdati, Sahar; Nayyeri, Mojtaba; Wu, Lianlong (Ed.): Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), Virtual Event, September, 2020, pp. 52–59, CEUR-WS.org, 2020.
