Machine learning and neuromorphic computing for embedded, decentralized and low-power AI in sensor systems, system of systems, IoT, autonomous machines etc. Interested in the physics of brains. More info: Scholar profile, semantic scholar profile.
Current PhD students
- Jacob Nilsson, machine learning for dynamic service interoperability in the Arrowhead Framework.
- Mattias Nilsson, pattern recognition with DYNAP neuromorphic system. Supported by The Kempe Foundations.
- Karl Ekström, natural language processing for fault severity estimation, KnowIT FAST.
- Kim Albertsson (CERN), machine learning in high-energy physics / ATLAS.
- Rickard Brännvall (RISE), machine learning for automation of edge datacenters, AutoDC.
- Co-supervision of Gustav Grund Pihlgren, Saleha Javed, Carl Borngrund, Lars-Johan Sandström, and Muhammad Ahmer (SKF).
Graduated PhD students
- Siddharth Dadhich, Automation of Wheel-Loaders, link (co-supervisor).
- Sergio Martin del Campo Barraza, Unsupervised feature learning applied to condition monitoring, link.
- Blerim Emruli, Ubiquitous Cognitive Computing: A Vector Symbolic Approach, link.
- Sergio Martin del Campo Barraza, unsupervised machine learning for automation of wind turbine condition monitoring system, two years, funded by SKF.
- Neural networks and learning machines (D7046E), link,
- Neuromorphic computing, upcoming course in the Applied AI program,
- Master thesis courses (X7010E, X7011E, X0003E).
Since 2014, I am program director of the "Teknisk fysik och elektroteknik" program at LTU (Civilingenjör, 300Hp), co-directed with Andreas Almqvist.
Lectures in D0032 Introduction to AI and D0028E Programming and Digitalization. Was examiner for E0003E Electric circuit theory, D0011E Digital design, D0017E Introduction to programming for engineers. Before 2010 I taught courses in physics, in particular first-year courses in mechanics, thermodynamics, waves, optics etc, and also some 3rd cycle lectures in astrophysics, cosmology and quantum field theory.
MSc diploma work in ATLAS at CERN (2001). PhD in Physics (2007, LTU, Swedish Graduate School of Space Technology). First postdoc at IFPA in Belgium (2008-09), focusing on numerical simulations and modelling in theoretical physics. A growing interest for neuromorphic engineering and the physics of brains made me shift research focus. I did a second postdoc in brain-inspired machine learning (2010-11) at EISLAB, where I became assistant professor (until April 2016), associate professor (until March 2021) and presently work as professor. I served as a technical committee member of the SKF–LTU University Technology Center, as a research theme leader of the Intelligent Industrial Processes area of excellence, and as a member of the Applied AI Innovation Hub. I served in faculty workgroups focusing on improving education processes.
Some code and tools. Contact me if you are interested in code used in research articles that are not listed below.
- 3FCS code, link. This code was developed and used for the quark matter calculations in the papers about neutron stars with quark matter cores and related phase diagrams, including the highly cited paper in Phys. Rev. D.
- Femtolensing tool, link. Calculates the gravitational lensing signatures of low-mass (1014-1017 kg) compact interstellar objects. This code was developed when working on the preon star hypothesis, see highlights below.
- N-dimensional random projection code, link. Result of early work on representation learning for cognitive computing.
- CBVS code, link. Early work on cognitive computing, related publications here and here.
- Dircheck, link. A useful tool for verification of file archives.
- Python code for distributed computing over ssh, link.
- ASOUND Matlab plugin, link.
- Online collaborative writing in Latex, link. Developed before the time of Sharelatex/Overleaf etc.
- Gunnar Öquist Fellow award and grant from The Kempe Foundations, link.
- Dark matter neutron-star core hypothesis. Paper, paper, impact.
- ISSP award for an original work in theoretical physics, link (more about Prof. 't Hooft and Prof. Zichichi).
- Preon star hypothesis. Paper, paper, observational predictions, Nature news, Phys. Rev. Focus, New Scientist.