Sepide Saeedi

Dottoranda in Ingegneria Informatica E Dei Sistemi , 37^o ciclo (2021-2024)
Dipartimento di Automatica e Informatica (DAUIN)

sepide.saeedi@polito.it

Profilo

Dottorato di ricerca

Argomento di ricerca

Fast and Accurate Prediction of the Impact of Approximate Operators on a Complex Computation

Tutori

Presentazione della ricerca

Poster

Interessi di ricerca

Computer architectures and Computer aided design

Data science, Computer vision and AI

Biografia

I am an early-stage researcher in the APROPOS project, funded by the Marie Sklodowska Curie Innovative Training Networks. I joined the project as a PhD student in the SMILIES research group at Politecnico di Torino. My research focuses on exploring the impact of approximate computing techniques on complex computations and accelerating design space exploration of approximate applications and designs.
I received my BSc degree in Computer Engineering from the Iran University of Science and Technology, Tehran, Iran, in 2016 and my MSc degree in Computer Architecture from the University of Tehran, Tehran, Iran, in 2019. My research interests include approximate computing, embedded system design, high-performance computing, and neural networks.

Pubblicazioni

Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris

Saeedi, Sepide; Piri, Ali; Deveautour, Bastien; O'Connor, Ian; Bosio, Alberto; Savino, ... (2024)
A Survey on Design Space Exploration Approaches for Approximate Computing Systems. In: ELECTRONICS, vol. 13. ISSN 2079-9292
Contributo su Rivista
Traiola, Marcello; Pappalardo, Salvatore; Piri, Ali; Ruospo, Annachiara; Deveautour, ... (2024)
Approximate Fault-Tolerant Neural Network Systems. In: IEEE European Test Symposium (ETS) 2024, Der Haag (NL), 20-24 May 2024, pp. 1-10. ISBN: 979-8-3503-4932-0
Contributo in Atti di Convegno (Proceeding)
Saeedi, Sepide; Savino, Alessandro; Di Carlo, Stefano (2023)
Design Space Exploration of Approximate Computing Techniques with a Reinforcement Learning Approach. In: 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), Porto (PRT), 27-30 June 2023, pp. 167-170. ISBN: 979-8-3503-2543-0
Contributo in Atti di Convegno (Proceeding)
Saeedi, Sepide; Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano (2022)
Prediction of the Impact of Approximate Computing on Spiking Neural Networks via Interval Arithmetic. In: 23rd IEEE Latin-American Test Symposium (LATS 2022), Virtual Event, 05-08 September 2022, pp. 1-6
Contributo in Atti di Convegno (Proceeding)
Saeedi, Sepide; Carpegna, Alessio; Savino, Alessandro; DI CARLO, Stefano (2022)
Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks. , arxiv
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