Dans Laksis has been working at the Institute of Electronics and Computer Science since 2021 when he obtained a Bachelor’s degree in Electrical Engineering from Riga Technical University. In 2023, Dans also earned a Master’s degree in Electronics from Riga Technical University. He has studied one semester in the Erasmus+ exchange program at Hamburg University of Technology (TUHH) in Germany. His main areas of expertise are discrete signal processing and analysis, data processing and electronics design. Dans has experience in programming with Python and C languages, as well as working with Altium Designer.
Related publications:
– “About Simultaneous Information and Power Transfer in WSN using Frequency Modulation” (2021) Anna Litviņenko, Romāns Kušņins, Artūrs Āboltiņš, Jānis Eidaks, Dans Laksis, Jurijs Sadovskis.
– “Signal Waveform Impact on RF-DC Conversion Efficiency for Different Energy Harvesting Circuits” (2021) Jānis Eidaks, Romāns Kušņins, Dans Laksis, Ruslans Babajans, Anna Litviņenko.
– “Line-Like Object Detection in Corrupted Images by Averaging of Second Order Vector Fields” (2021) Mihails Pudžs, Artūrs Āboltiņš, Sandis Migla, Oskars Šēlis, Pauls Ēriks Šics, Dans Laksis, Anna Litviņenko.
– “Evaluation of Materials and Structures with a Multistatic Ultra-Wideband Impulse Radar: A Concept Validation” (2023) Gatis Gaigals, Romans Maliks, Vladimir Aristov, Rolands Savelis, Janis Simanovics, Eduards Lobanovs, Haralds Egliens, Dans Laksis, Kristaps Maris Greitans, Modris Greitans.
Recent projects
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AI-based analysis of multi-static UWB-IR radar signals for non-destructive estimation of materials and structure (MIRSA)
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Contactless ice thickness measurement device (EDI-ICE) #ESIF
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Automated railway level crossing control system (PAKS) #ESIF
- Technology for high-precision time-amplitude analysis of event flow (TIME-AMP) #ESIF
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Comprehensive assessment of the condition of bone and muscle tissues using quantitative ultrasound (BoMUS) #LCS (LZP)