Rihards considers himself a system architect, whose work is based on intuition as much as mathematical knowledge. His research group is not only programming, but also thinking about how to improve the various algorithms, that have so far only existed in software format, and how to incorporate them into digital diagrams. The main objective of his research is to create novel computing concepts and approaches, thus ensuring a sustainable advancement of our society. In 2018, he received a certificate of recognition from the Latvian Academy of Sciences for one of the most significant Latvian scientific achievements – an original approach to transforming artificial neural network architectures into programmable logical arrays. In 2022, the young scientist defended his PhD thesis “Implementation of stereo-vision algorithms in heterogeneous embedded systems”. Besides, Rihards is passionate about music, and has been playing saxophone for several years.
Recent projects
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Automotive Intelligence for/at Connected Shared Mobility (AI4CSM) #H2020
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Go IT! #Horizon Europe
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Artificial Intelligence using Quantum measured Information for realtime distributed systems at the edge (A-IQ Ready) #ChipsJU
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Trusted lifetime in operation for a circular economy (ARCHIMEDES) #ChipsJU
- Leverage synergy by cyber-physical systems for the convergence of the eco systems mobility, infrastructure and energy in the circular economy for the Society 5.0 (Cynergy4MIE) #Horizon Europe
Recent publications
- Norbert Druml; Anna Ryabokon; Rupert Schorn; Jochen Koszescha; Kaspars Ozols; Aleksandrs Levinskis; Rihards Novickis; "Programmable Systems for Intelligence in Automobiles (PRYSTINE): Final results after Year 3"; 2021 24th Euromicro Conference on Digital System Design (DSD); 1-3 Sept. 2021; DOI: 10.1109/DSD53832.2021.00049
- Rihards Novickis, Aleksandrs Levinskis, Vitalijs Fescenko, Roberts Kadikis, Kaspars Ozols, Anna Ryabokon, Rupert Schorn, Jochen Koszescha, Selim Solmaz, Georg Stettinger, Akwasi Adu-Kyere, Lauri Halla-aho, Ethiopia Nigussie, Jouni Isoaho. "Development and Experimental Validation of High Performance Embedded Intelligence and Fail-Operational Urban Surround Perception Solutions of the PRYSTINE Project", Appl. Sci. 2022, 12(1), 168;
- Laura Leja, Vitālijs Purlans, Rihards Novickis, Andrejs Cvetkovs, Kaspars Ozols. Mathematical Model and Synthetic Data Generation for Infra-Red Sensors
- Edgars Lielāmurs, Andrejs Cvetkovs, Rihards Novickis, Kaspars Ozols, 2023. Infrared Image Pre-Processing and IR/RGB Registration with FPGA Implementation. Electronics, 12(4), 4, MDPI.
- Valērija Movčana, Arnis Strods, Karīna Narbute, Fēlikss Rūmnieks, Roberts Rimša, Gatis Mozoļevskis, Maksims Ivanovs, Roberts Kadiķis, Kārlis Gustavs Zviedris, Laura Leja, Anastasija Zujeva, Tamāra Laimiņa, Arturs Abols. "Organ-On-A-Chip (OOC) Image Dataset for Machine Learning and Tissue Model Evaluation" Data , 9(2), pp.28. https://doi.org/10.5281/zenodo.10203721
- Ibrahim Sayed, Andrejs Cvetkovs, Kaspars Ozols and Rihards Novickis. 2024. "Deviations Detection in Registered 3D Point Clouds" Baltic Electronics Conference 2024 (The 19th Biennial Conference on Electronics and Embedded Systems) doi=10.1109/BEC61458.2024.10737935
- Edgars Lielamurs, Ibrahim Sayed, Andrejs Cvetkovs, Rihards Novickis, Anatolijs Zencovs, Maksis Celitans, Andis Bizuns, George Dimitrakopoulos, Jochen Koszescha, Kaspars Ozols. 2025. "A Distributed Time-of-Flight Sensor System for Autonomous Vehicles: Architecture, Sensor Fusion, and Spiking Neural Network Perception" Electronics, 14(7) https://www.mdpi.com/2079-9292/14/7/1375