Romans Maliks has been working for the Institute of Electronics and Computer Science since 2016. In 2018 he graduated from Riga Technical university (Riga, Latvia) and received a Master of Engineering degree in Electronics while studying at faculty of Electronics and Telecommunications. During one semester he was involved in the Erasmus+ programme and was studying at Royal Institute of Technology (Stockholm, Sweden). Currently is a PhD student. One and a half years he has been working on integrated circuit (IC) design using BiCMOS (SiGe:C) technology. He has attended training courses and exhibitions that are related to IC design. He has experience with STM32 microcontroller’s programming, is working on embedded systems. Main work responsibilities include Artificial neural networks and Deep Machine Learning, embedded systems (microcontroller programming), Data Science, IC design, Python and C programming.
Recent projects
- AI-based analysis of multi-static UWB-IR radar signals for non-destructive estimation of materials and structure (MIRSA)
- Automated railway level crossing control system (PAKS) part 2
- Contactless ice thickness measurement device (EDI-ICE) part 2
- Histological recognition and analysis of veterinary tumors surgical margins by using artificial intelligence and multimodal imaging (HAVeT-AI )
Recent publications
- V.Aristov, E.Lobonovs, R.Maliks, M.Celitans, J.Simanovichs, S.Bondars, R.Gailis. Ultra-Wideband Pulse Radar Mounted on an Unmanned Aerial Vehicle for the Monitoring of Moving Objects. Automatic Control and Computer Sciences, 55(4), 1 July 2021, pp. 396-405.
- R. Maliks, G. Supols, E. Lobanovs and M. Greitans, "Integrated circuit of clocked comparator for ultra-wideband radar," 2021 IEEE
- Romans Maliks, Roberts Kadikis. Multispectral Data Classification with Deep CNN for Plastic Bottle Sorting. 2021 6th International Conference on Mechanical Engineering and Robotics Research (ICMERR), 2022, pp. 58-65, ISBN: 978-1-6654-0641-3