Sergiu-Mohamed Abed

Dottorando in Ingegneria Informatica E Dei Sistemi , 40o ciclo (2024-2027)
Dipartimento di Automatica e Informatica (DAUIN)

Profilo

Dottorato di ricerca

Argomento di ricerca

Analysis and Improvement of Fault Tolerance and Safety of AI Accelerators

Tutori

Interessi di ricerca

Computer architectures and Computer aided design
Data science, Computer vision and AI

Biografia

Sergiu-Mohamed Abed obtained his BSc and MSc degrees in Computer Engineering from Politecnico di Torino. During his master's degree studies, he specialized in artificial intelligence and data analytics, having worked with various deep learning models such as CNNs, LSTMs, GANs and Transformer-based models. For his thesis, he worked on reliability assessment and software-based hardening of hyperspectral image classifiers, during which he simulated transient faults on GPUs by injecting faults at the instruction set level to identify the most sensitive parts of the classifier and to modify them to mitigate the effects of the faults.
Currently, he is a PhD student conducting most of his research work at Cadence Design Systems in Munich, Germany, as part of the HORIZON MSCA European Commission funded project TIRAMISU. His research work focuses on improving the fault tolerance and safety of AI accelerators using innovative EDA methods. The aim is to explore how hardware accelerators can be designed to incorporate high fault detection and correction mechanisms, and to identify areas where enhanced fault detection is required.

Ricerca

Gruppi di ricerca

Pubblicazioni

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