Martin Ljungqvist

Martin Ljungqvist

Experienced Software Engineer @ Axis

About Martin Ljungqvist

Martin Ljungqvist is an experienced software engineer specializing in signal processing and computer vision. He has worked at Axis Communications since 2012 and holds a PhD in multivariate statistics and spectral imaging.

Work at Axis

Martin Ljungqvist has been employed at Axis Communications as an Experienced Software Engineer since 2012. His tenure at Axis spans over 12 years, during which he has contributed to various projects and initiatives in Lund. His role primarily involves developing applications that leverage his expertise in signal processing and computer vision.

Education and Expertise

Martin Ljungqvist holds a Master of Science degree in Media Technology and Engineering from Linköping University, which he completed between 1998 and 2005. He further advanced his education at the Technical University of Denmark, where he earned a Doctor of Philosophy (Ph.D.) in spectral imaging from 2009 to 2012. His academic background equips him with a strong foundation in statistical analysis and imaging techniques.

Background

Before joining Axis Communications, Martin Ljungqvist gained experience in various roles. He worked as a Software Developer at Ericsson Mobile Platforms from 2005 to 2009 and later at ST-Ericsson for a brief period in 2009. He also served as a PhD student at the Technical University of Denmark from 2009 to 2012. Additionally, he was a Guest Researcher at Toyohashi University of Technology in Japan for two months in 2011.

Technical Skills

Martin Ljungqvist specializes in developing applications using C and Python, focusing on computer vision and video analytics. His expertise encompasses both high and low-level applications in research and development within signal processing, highlighting his versatility in software engineering.

Research Contributions

Martin Ljungqvist's academic and professional journey includes significant contributions to research in multivariate statistics and spectral imaging. His work in these areas demonstrates his commitment to advancing knowledge and technology in signal processing and imaging techniques.

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