• Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente invitato

Master of Science

• GPU programming. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• GPU programming. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

Bachelor of Science

• Programming techniques. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Computer sciences. A.A. 2018/19, INGEGNERIA DELL'AUTOVEICOLO (AUTOMOTIVE ENGINEERING). Collaboratore del corso
• Computer sciences. A.A. 2019/20, INGEGNERIA DELL'AUTOVEICOLO (AUTOMOTIVE ENGINEERING). Collaboratore del corso
• Computer sciences. A.A. 2020/21, INGEGNERIA DELL'AUTOVEICOLO (AUTOMOTIVE ENGINEERING). Collaboratore del corso
• Computer sciences. A.A. 2021/22, INGEGNERIA DELL'AUTOVEICOLO (AUTOMOTIVE ENGINEERING). Collaboratore del corso
• Calcolatori elettronici. A.A. 2022/23, INGEGNERIA INFORMATICA. Collaboratore del corso

• Rodriguez Condia, Josie E.; Guerrero-Balaguera, Juan-David; Dos Santos, Fernando F.; ... (2022)
  A Multi-level Approach to Evaluate the Impact of GPU Permanent Faults on CNN's Reliability. In: 2022 IEEE International Test Conference (ITC), Anaheim, CA (USA), 23-30 September 2022, pp. 278-287. ISBN: 978-1-6654-6270-9
  Contributo in Atti di Convegno (Proceeding)
• Guerrero-Balaguera, Juan-David; Rodriguez Condia, Josie E.; Reorda, Matteo Sonza (2022)
  Neural Network's Reliability to Permanent Faults: Analyzing the Impact of Performance Optimizations in GPUs. In: 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Glasgow (UK), 24-26 October 2022, pp. 1-4. ISBN: 978-1-6654-8823-5
  Contributo in Atti di Convegno (Proceeding)
• Fernandes Dos Santos, Fernando; Kritikakou, Angeliki; Rodriguez Condia, Josie E.; ... (2022)
  Characterizing a Neutron-Induced Fault Model for Deep Neural Networks. In: IEEE TRANSACTIONS ON NUCLEAR SCIENCE, pp. 1-1. ISSN 0018-9499
  Contributo su Rivista
• Deligiannis, Nikolaos; Faller, Tobias; RODRIGUEZ CONDIA, JOSIE ESTEBAN; Cantoro, ... (2022)
  Using Formal Methods to Support the Development of STLs for GPUs. In: Asian Test Symposium (ATS), Taiwan
  Contributo in Atti di Convegno (Proceeding)
• Rodriguez Condia, Josie E.; Sonza Reorda, M. (2021)
  Modular Functional Testing: Targeting the Small Embedded Memories in GPUs. In: VLSI-SoC: Design Trends. VLSI-SoC 2020 / Calimera, A., Gaillardon, PE., Korgaonkar, K., Kvatinsky, S., Reis, R. (eds), S.L., Springer, pp. 205-233. ISBN: 978-3-030-81640-7
  Contributo in Volume