Curriculum Vitae: Fredrik Lingvall


Name:
Fredrik Lingvall
Born:
Aug 9, 1967
Languages:
Swedish, English

Contact Information

Address:Lillogata 5K
NO-0484 Oslo, Norway
URL:
http://folk.uio.no/fl/
E-mail:
fredrik.lingvall@gmail.com
Mobile:
+47 41085304

1 Previous Work

[(summer) 2010–present
] Research scientist at NORSAR and research scientist and developer at WaveTrain A/S. Acoustic signal processing and system design (acoustic sensors and embedded systems).
[(fall) 2008–2010 (summer)
] Research scientist at the research institute NORSAR, Kjeller, Norway. Research and software engineering (for earthquake loss estimation and seismic event location codes).
[2005–2008 (spring)
] Post doc position at the Department of Informatics, Group for Digital Signal Processing and Image Analysis at the University of Oslo. Research topic: statistical methods for high resolution ultrasonic array imaging.
[1997–2004
] Uppsala University, Sweden. Research in the field of non-destructive testing (NDT) and ultrasonic imaging. In particular, acoustic field modeling, classification and detection of defects using both ultrasonic and eddy current techniques, and more recently, high resolution ultrasonic array imaging methods.

2 Education

The Ph.D. and Lic. theses are available in PDF format at: http://folk.uio.no/fl/

3 Programming Skills

The main tools that I have worked with is Matlab (and Octave) and C/C++. I have also worked with LabView, which I have used both in teaching and for various measurement applications. Furthermore, I have worked with large-scale problems for which I have used and developed parallel tools, using both thread based and message passing (MPI) based methods, for modern multi-core and network connected Unix (Linux) systems. I am also familiar with Windows (and to a lesser extent) MacOS environments.

I am also the main developer of an open source project for acoustic modeling (see Section B in the Publications list) which is written in C/C++ and m-code; the software is a multi-threaded toolbox for Matlab and Octave.

I have also used revision control system tools (i.e., subversion), for cooperative software development, and document preparation tools such as: LATEX and Adobe Illustrator/Acrobat. Furthermore, I have basic knowledge in standard office tools, (bash) scripting and, HTML coding, Fortran, etc.

4 Analytical Skills

My main research profile, in the area of statistical signal processing, is Bayesian methods for (acoustic) measurement problems. This methodology involves both model design and parameter estimation and I have done research on both these topics. More specifically,

My interest in Bayesian methods is due to the inherent ability, of such methods, to optimally process information and to obtain both model parameter estimates and a measure of the parameter uncertainties.

Even though, my main profile is on acoustic problems the methodology I have worked with is very general and can, therefore, be applied to a wide range of problems.

5 Teaching

As a part of my Ph.D. programme I have been involved in teaching (20%) in courses in,

A Publications

A.1 Papers in Journals

A.2 Papers in Conferences

B Software Projects

C Projects

SELENA
(at NORSAR). Software project for earthquake loss estimation.
HYPOSAT
(at NORSAR). Software project for seismic event location (Fortran to C translation).
SKB project “Inspection of Copper Canisters for Spent Nuclear Fuel”:
(at Uppsala Univ.) Long term project for inspecting welds in copper canisters for storing spent nuclear fuel. I have been working with the ultrasonic array imaging task in this project. Specifically, I have worked with high resolution array imaging techniques for inspecting electron beam (EB) welds.
SKi project “Ultrasonic Characterization of Defects”:
(at Uppsala Univ.) A project aimed at, by means of ultrasound, characterize and classify different types of defects in V-type welds in steel.
CANDIA:
(at Uppsala Univ.) European project (Brite Euram project TR151-1-0-1) for detecting defects in riveted lap joints in aircraft structures using eddy current inspection.
IMRA:
(at Uppsala Univ.) European project for estimating room temperature distributions using airborne ultrasound.