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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Silicon IP Design House (SilHouse) part 2 #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) #Horizon Europe
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Trusted lifetime in operation for a circular economy (ARCHIMEDES) #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
- Novickis, R., Levinskis, A., Kadiķis, R., Feščenko. V., Ozols, K. (2020). Functional architecture for autonomous driving and its implementation. 17th Biennial Baltic Electronics Conference (BEC2020), Tallinn, Estonia.
- Justs, D., Novickis, R., Ozols, K., Greitāns M. (2020). Bird's-eye view image acquisition from simulated scenes using geometric inverse perspective mapping. 17th Biennial Baltic Electronics Conference (BEC2020), Tallinn, Estonia.
- R.Novickis, D.J. Justs, K.Ozols and M.Greitāns "An Approach of Feed-Forward Neural Network Throughput-Optimized Implementation in FPGA", Electronics journal: Special Issue Advanced AI Hardware Designs Based on FPGAs, 2020
- Druml, N., Debaillie, B., Anghel, A., Ristea, N. C. (2020). Programmable Systems for Intelligence in Automobiles (PRYSTINE): Technical Progress after Year 2, 2020 23rd Euromicro Conference on Digital System Design (DSD). doi: 10.1109/DSD51259.2020.00065
- 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.