J.Sinica-Sinavskis is in computer science, a field at the remote sensing application between hyperspectral imaging, multispectral image processing, synthetic-aperture radar image processing, statistical modelling, and object based image analysis. J.Sinica- Sinavskis is working in the EDI in the area of image processing since 2006. J.Sinica- Sinavskis received the master degree in Mathematics from University of Latvia in 2009, and since 2019 he holds a Ph.D. in Computer Science at University of Latvia. He is a member of Latvian Association of Statisticians (LSA), The Remote Sensing and Photogrammetry Society (RSPSoc), and IEEE Geoscience and Remote Sensing Society (GRSS). He works closely with application experts, in order to focus the algorithm to solve the problem effectively.
Remote sensing based system for forest risk factor monitoring (Forest Risk) 
Sentinel for confidence in outdated maps: SentiMap 
“Applied Research” Component 2 in the areas of ICT and Smart Energy – LACISE