• Computational micromagnetism
• Machine learning methods
• Magnetic materials for the green energy transition
• Physics-informed neural networks (PINNs)
• Extreme learning machines (ELMs) and numerical (low-rank) tensor calculus
• Trustworthy AI (TAI) / Explainable AI (XAI)

https://homepage.univie.ac.at/lukas.exl/

• FWF Principal Investigator Project (EUR 484k, 2024-2028) "Data-driven Reduced Order Approaches for Micromagnetism (Data-ROAM)" at WPI Vienna

• FWF Principal Investigator Project (EUR 254k, 2022-2027) "Design of Nanocomposite Magnets by Machine Learning (DeNaMML)" at MMM c/o Univ. Wien

• FWF Principal Investigator Project (EUR 402k, 2018-2024) "Reduced Order Approaches for Micromagnetics (ROAM)" at WPI Vienna

(cv sketch)

Higher Education

• 2024 Habilitation (venia docendi) in the field of Computational Science (Privatdozent), University of Vienna, Austria; Referees: Prof. Carstensen (Humboldt Universität zu Berlin), Dr.  Chubykalo-Fesenko (Materials Science Institute of Madrid, CSIC) and Prof. Després (Sorbonne Université).
• 2010 - 2014 PhD in computational physics (Dr.techn., w/ distinction), supervisor/examiner: Thomas Schrefl / Claudio Serpico, Vienna University of Technology, Austria
• 2004 - 2010 Diploma in technical mathematics (Dipl.-Ing., w/ distinction) concentration in mathematics in science, Vienna University of Technology, Austria

Appointments & Positions

• since 2024: Research Director - Head of Math. AI/ML Research Division at Wolfgang Pauli Institute (WPI) Vienna
• since 2020: Senior Scientist (1⁄2 permanent) at University of Vienna
• since 2016: (External) Lecturer in computational science and numerical mathematics at University of Vienna
• 2018 - 2024: Group leader (Machine learning & Model reduction) at Wolfgang Pauli Institute (WPI) Vienna
• 2014 - 2018: Postdoc positions within SFBs in groups of N. Mauser, D. Suess and D. Praetorius at University of Vienna and Vienna University of Technology