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Public PhD Defence

Public defence of doctoral thesis in Computer Science: Filip Ekström Kelvinius

Filip Ekström Kelvinius at the Department of Computer and Information Science (IDA) defends his thesis entitled: "Deep Learning for the Atomic Scale: Graph Neural Networks and Deep Generative Models with Some Applications to Materials and Molecules."

Main Supervisor: Fredrik Lindsten, Professor, IDA

Opponent: Mikkel N.Schmidt, Professor, Technical University of Denmark (DTU), Danmark

The event is open to the public and held in English.

More Information

Cover of publication 'Deep Learning for the Atomic Scale: Graph Neural Networks and Deep Generative Models with Some Applications to Materials and Molecules'
Filip Ekström Kelvinius (2025)
Deep Learning for the Atomic Scale: Graph Neural Networks and Deep Generative Models with Some Applications to Materials and Molecules
Photo of Filip Ekström Kelvinius

Filip Ekström Kelvinius

PhD student

Organisation

A pair of hands holding a dice.

The Division of Statistics and Machine Learning (STIMA)

The STIMA division is part of the Department of Computer and Information Science. The research and teaching activities are focused on modern data analysis and the division hosts the international master's programme in Statistics and Machine Learning.
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Department of Computer and Information Science (IDA)

The Department of Computer and Information Science is one of the largest departments in northern Europe in its field. Research activity covers artificial intelligence, human-computer interaction, software and computer systems, and data science.

Faculty of Science and Engineering (Institute of Technology) (LITH)

With some 14,800 students, more than 1,000 employees and a budget exceeding SEK 1.7 billion, the Faculty of Science and Engineering is one of Sweden’s largest engineering education institutions. We are a fully integrated part of Linköping University.