Luleå tekniska universitet,
971 87 Luleå,
I am interested in how brains process information, in particular I want to understand more about the principles of cognition. In collaboration with students and people in industry and academia I explore how knowledge and ideas about these principles can be used to create more intelligent machines.
Neural circuits have a remarkable capacity to adapt and process complex information using slow, stochastic and highly energy-efficent neurons. By learning how to create similar mechanisms with technology we can address challenging pattern recognition and automation problems, and we are also studying how to create systems in terms of goals and learning components. We integrate applied and fundamental viewpoints, thereby contributing a link between neuroinformatics and applications, and we are working on both algorithms for digital hardware and neural network models for neuromorphic devices. This way we address complexity, scalability, robustness and energy-efficiency limitations associated with the conventional bottom-up engineering approach.
I am an Associate Professor (Docent) at the Embedded Internet Systems Laboratory (EISLAB) in Luleå, Sweden, which is located about 150 km south of the arctic circle. Luleå has a local airport, an archipelago and nearby wildlife. We also have four distinct seasons, out of which the autumn is my personal favorite.
I was a creative experimentalist at young age (example). My academic training has focused on theoretical physics and computing, in particular studies involving numerical simulations of statistical physics, quantum field theory at finite temperature and density, and general relativity. I studied engineering physics at the Luleå University of Technology and did a diploma work in the ATLAS collaboration at CERN. The software prototype that I developed during the diploma work is used in the ATLAS detector. I was a Ph.D. student in the Swedish Graduate School of Space Technology and defended my Ph.D. thesis in March 2007 (Supervisor: Prof. Sverker Fredriksson; Co-supervisor: Prof. Johan Hansson; Opponent: Prof. Mark Alford from Washington University in St. Louis; Advisor and main collaborator: Prof. David Blaschke). I was an FNRS postdoctoral fellow in astroparticle physics at the University of Liège and an active member of the ESF-funded CompStar network at that time. I developed the numerical code 3FCS, which is used for calculation of quark-matter equations of state and phase diagrams. The related publications on phase diagrams, neutrino trapping effects and properties of hybrid stars are notable contributions. The papers on hypothetical Preon Stars with Johan Hansson and the papers on potential effects of non-annihilating dark matter in Neutron Stars with Paolo Ciarcelluti are notable contributions as well. If you are familiar with compact stars you need to pay attention when reading our papers on dark matter - there is no such thing as a “universal compact star sequence” in that scenario. In 2010 I started focusing on brain-inspired computation (to be continued, soon?).
Thu Oct 08, 2015
Master thesis proposal on embedded streaming text analytics.
Wed Oct 07, 2015
Gunnar Öquist fellows, vice-chancellors and representatives from research funding organisations in Sweden were invited to IVA by the Kempe Foundations to present their view on and discuss the fellowship programme. A very interesting and stimulating meeting.
Thu Sep 24, 2015
Master thesis proposal on learning condition monitoring system.
Mon Sep 14, 2015
Dr. Vasaki Ponnusamy from Quest International University in Malaysia is visiting us for one month with support from STINT.
Wed May 27, 2015
Sergio Martin del Campo Barraza presents his licentiate thesis on autonomous sensor systems. Congratulations! Thanks to the opponent, Karl Skretting, for his helpful questions at the seminar.
Thu Nov 13, 2014
Received an encouraging letter from the student union. Thank you for nominating me!