Nordic IEEE SPS TechTalk Series - Data-driven models for ultrasound measurement applications

#processing #signal #technology #application
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Dear SPS members,

We are please to inform you that on December 10th 13:00 -14:00, Stockholm time , we'll host a tech talk series on "Data -driven models for ultrasound measurement application" featuring:

  • Prof. Johan Carlson (Luleå University of Technology , LTU , Luleå, Sweden

The event will be hybrid, and an open registration form will be provided starting November 29th 12:00.

Best regards,

IEEE SPS Sweden



  Date and Time

  Location

  Hosts

  Registration



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  • Contact Event Hosts
  • Professor of Machine Learning

    Elisa Barney Smith <elisa.barney@ltu.se>

    Specialties: Image Processing, Machine Learning, Document Analysis, Digital Humanities

     

     

  • Co-sponsored by Prof. Elisa H Barney Smith
  • Starts 28 November 2025 11:00 PM UTC
  • Ends 09 December 2025 11:00 PM UTC
  • No Admission Charge


  Speakers

Johan Carlson

Topic:

Title: Data-driven models for ultrasound measurement applications

SPEAKER :  Johan Carlson, IEEE Senior member

Abstract:

Ultrasound is widely used in both biomedical and industrial applications as a tool for non-invasive or non-destructive assessments. Historically, a much of the research has focused on physical modelling of wave propagation phenomena. Although this approach generally provides more insight to the underlying mechanisms, this approach is not always feasible for all measurement application. Simply put, measurement is about “inverse modelling”, i.e., inferring information from observable quantities. If the forward problem, i.e., the modelling, becomes complex is rarely (never) any easier. In other words, for problems where the physical modelling approach is not really feasible, should we go for a purely data-driven/empirical approach? In this talk, I will walk you through the journey my group has made over the past 20+ years, from purely empirical modelling, borrowing from the field of Chemometrics, to data-driven models constrained by underlying physical properties

Biography:

Johan Carlson received his M.Sc. in Computer Science and Engineering, and his PhD in Industrial Electronics from Luleå University of Technology (LTU), Sweden, in 1998 and 2002, respectively. Since 2012, he has been a professor in Signal Processing at LTU. His main research interest is in signal processing methods for ultrasound measurement problems, specifically in materials characterization and non-destructive testing.