Andis Bizuns has been working at the Institute of Electronics and Computer Science since 2018, where he started his career after defending his bachelor’s thesis. In 2020, he obtained a Master’s degree in Computer Science from the University of Latvia. His main activities and areas of interest at the institute are machine learning, image processing, embedded systems, robotics and self-driving cars.
Recent projects
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Trusted lifetime in operation for a circular economy (ARCHIMEDES) #ChipsJU
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Automotive Intelligence for/at Connected Shared Mobility (AI4CSM) #H2020
Recent publications
- Arents, J., Lesser, B., Bizuns, A., Kadikis, R., Buls, E., Greitans, M. (2022). Synthetic Data of Randomly Piled, Similar Objects for Deep Learning-Based Object Detection. In: Sclaroff, S., Distante, C., Leo, M., Farinella, G.M., Tombari, F. (eds) Image Analysis and Processing – ICIAP 2022. ICIAP 2022. Lecture Notes in Computer Science, vol 13232. Springer, Cham. https://doi.org/10.1007/978-3-031-06430-2_59
- 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