Carlos Rafael Tordoya Taquichiri
Carlos Rafael Tordoya Taquichiri
ZHAW
School of Engineering
Forschungsschwerpunkt Secure and Dependable Systems and Networks
Projekte
- Smart Cyber Defense: AI and Machine Learning for Industrial Control Systems / Teammitglied / laufend
- Machine Learning Mathematical Extension To Multiple Processors / Teammitglied / laufend
- Entwicklung und Bau eines Sensorträgers für das drohnengestützte Messen von Methan- und CO2-Konzentrationen in bodennahen Luftschichten / Teammitglied / abgeschlossen
Publikationen
Schriftliche Konferenzbeiträge, peer-reviewed
- Tordoya T., C. R., Doran, H. D., Ghiglino, P., & Harsche, M. (2025, October 13). Bridging reliability and high performance in AI execution with radiation-hardened co-processing. 2025 European Data Handling & Data Processing Conference (EDHPC). https://ieeexplore.ieee.org/document/11326464
- Doran, H. D., Tordoya Taquichiri, C. R., Ghiglino, P., & Harshe, M. (2025). Dependable AI inference : a work-in-progress on CPU, co-processor and FPGA approaches [Conference paper]. In M. Törngren, B. Gallina, E. Schoitsch, E. Troubitsyna, & F. Bitsch (Eds.), Computer Safety, Reliability, and Security. SAFECOMP 2025 Workshops (pp. 49–60). Springer. https://doi.org/10.1007/978-3-032-02018-5_4
- Ghiglino, P., Harshe, M., Doran, H. D., & Tordoya Taquichiri, C. R. (2025). High-performance AI inference for agile deployment on space-qualified processors : a performance benchmarking study [Conference paper]. In M. Törngren, B. Gallina, E. Schoitsch, E. Troubitsyna, & F. Bitsch (Eds.), Computer Safety, Reliability, and Security. SAFECOMP 2025 Workshops (pp. 267–280). Springer. https://doi.org/10.1007/978-3-032-02018-5_20
- Tordoya Taquichiri, C. R., Doran, H. D., Ghiglino, P., & Harshe, M. (2025, March 21). Achieving dependability of AI execution with radiation hardened processors. Embedded World Conference, Nuremberg, Germany, 11-13 March 2025. https://doi.org/10.48550/arxiv.2504.03680
Mündliche Konferenzbeiträge und Abstracts
- Tordoya Taquichiri, C. R., & Ganz, D. (2024, May 28). AI acceleration for space applications. Embedded Computing Conference (ECC), Winterthur, Switzerland, 28 May 2024.
- Tordoya Taquichiri, C. R., Ganz, D., & Buchheim, K. (2024, May 28). Reconfigurable hardware revisited : implementing an optimised AI pipeline on the HPDP processor. Embedded Computing Conference (ECC), Winterthur, Switzerland, 28 May 2024.