Personal profile

Personal profile

Jákup is a computer scientist with special interest in geometric deep learning covering optimization, representation and statistical aspects and their interplay.
I am also interested in developing applications to computational science, in areas such as Quantum chemistry and climate modelling. Started as an Assistant Professor in ICT (tenure-track) at the University in August 2022

Research interests

  • Geometric deep learning
  • Graph neural networks
  • Graph representation learning
  • Graph neural networks in Chemistry
  • Explainable AI
  • Cross-modal learning

Teaching

2022 -

  • Revised and taught of the course in B.Sc. in ICT Engineering: Software Engineering (7.5 ECTS)
  • Teaching assistant for the course in B.Sc. in ICT Engineering: Application Development for the Android Platform (7.5 ECTS)
  • Designed and delivered all of the teaching of the course in B.Sc. in ICT Engineering: Introduction to Artificial Intelligence (7.5 ECTS), where I also am course responsible.
  • Involved in the planning and design of the MSc-programme: "MSc in Data Science"
  • Supervised 1 Bsc project

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 4 - Quality Education
  • SDG 7 - Affordable and Clean Energy
  • SDG 8 - Decent Work and Economic Growth
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 12 - Responsible Consumption and Production
  • SDG 13 - Climate Action

Education/Academic qualification

Master, Aalborg University

20192021

Award Date: 31 Jul 2021

Bachelor, Aalborg University

20162019

Award Date: 31 Jul 2019

Keywords

  • QA75 Electronic computers. Computer science
  • Geometric deep learning
  • Symbolic regressions
  • Graph neural networks
  • Optimization
  • Representation

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