Giuseppe Esposito

Dottorando in Ingegneria Informatica E Dei Sistemi , 39^o ciclo (2023-2026)
Dipartimento di Automatica e Informatica (DAUIN)

Docente esterno e/o collaboratore didattico
Dipartimento di Automatica e Informatica (DAUIN)

giuseppe.esposito@polito.it

Profilo

Dottorato di ricerca

Argomento di ricerca

New Techniques for Reliability Evaluation and Enhancement of Neural Networks

Tutori

Interessi di ricerca

Computer architectures and Computer aided design

Data science, Computer vision and AI

Biografia

I am Giuseppe Esposito, a Ph.D. student at Politecnico di Torino - DAUIN. I started my academic career at Università degli studi Federico II attending the Management Engineering bachelor degree. Then, I decided to move to Turin to attend the courses of Data Science and Engineering master's degree. During my thesis I have worked on the Reliability assessment of Split Computing Neural Networks with professor Matteo Sonza Reorda and then I decided to continue my academic path with the Ph.D. at DAUIN.

Didattica

Insegnamenti

Corso di laurea magistrale

Computational intelligence. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

Ricerca

Gruppi di ricerca

CAD - Electronic CAD & Reliability Group (DAUIN)

Pubblicazioni

Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris

Esposito, Giuseppe; Guerrero Balaguera, Juan David; Rodriguez Condia, Josie Esteban; ... (In stampa)
Evaluating Different Fault Injection Abstractions on the Assessment of DNN SW Hardening Strategies. In: 33rd IEEE Asian Test Symposium (ATS 2024), Ahmedabad, Gujarat (IND), 17th -20th December 2024, pp. 1-6
Contributo in Atti di Convegno (Proceeding)
Chen, Junchao; Esposito, Giuseppe; Fernandes dos Santos, Fernando; Guerrero-Balaguera, ... (2024)
Reliability Assessment of Large DNN Models:Trading Off Performance and Accuracy. In: 2024 IFIP/IEEE 32nd International Conference on Very Large Scale Integration (VLSI-SoC), Tanger (MAR), 06-09 October 2024, pp. 1-10. ISBN: 979-8-3315-3967-2
Contributo in Atti di Convegno (Proceeding)
Esposito, G.; Guerrero-Balaguera, J. -D.; Condia, J. E. R.; Levorato, M.; Reorda, M. S. (2024)
Enhancing the Reliability of Split Computing Deep Neural Networks. In: 2024 IEEE 30th International Symposium on On-Line Testing and Robust System Design (IOLTS), Rennes (FR), 03-05 July 2024, pp. 1-7. ISBN: 979-8-3503-7055-3
Contributo in Atti di Convegno (Proceeding)
Esposito, Giuseppe; Guerrero-Balaguera, Juan-David; Rodriguez Condia, Josie E.; ... (2024)
Assessing the Reliability of Different Split Computing Neural Network Applications. In: 2024 IEEE 25th Latin American Test Symposium (LATS), Maceio (BRA), 09-12 April 2024. ISBN: 979-8-3503-6555-9
Contributo in Atti di Convegno (Proceeding)