Sergiu-Mohamed Abed

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 40th cycle (2024-2027)
Department of Control and Computer Engineering (DAUIN)

Profile

PhD

Research topic

Analysis and Improvement of Fault Tolerance and Safety of AI Accelerators

Tutors

Research interests

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

Biography

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.

Research

Research groups

Publications

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