Sepide Saeedi

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 37^th cycle (2021-2024)
Department of Control and Computer Engineering (DAUIN)

Research Assistant
Department of Control and Computer Engineering (DAUIN)

sepide.saeedi@polito.it

Profile

PhD

Research topic

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

Tutors

Research presentation

Poster

Research interests

Computer architectures and Computer aided design

Data science, Computer vision and AI

Life sciences

Biography

I am an early-stage researcher in the APROPOS project funded by Marie Sklodowska Curie Innovative Training Networks, and I joined the project as a PhD student in the SMILIES research group in 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 have received a BSc degree in Computer Engineering from the Iran University of Science and Technology and an MSc degree in Computer Architecture from the University of Tehran. My research interests include approximate computing, embedded system design, high-performance computing, and neural networks.

Research

Research groups

SMILIES - reSilient coMputer archItectures and LIfE Sciences (DAUIN)

Publications

Latest publications View all publications in Porto@Iris

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)
Piri, Ali; Saeedi, Sepide; Barbareschi, Mario; Deveautour, Bastien; Di Carlo, Stefano; ... (2022)
Input-Aware Approximate Computing. In: 2022 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), Cluj-Napoca (Romania), 19-21 May 2022, pp. 1-6. ISBN: 978-1-6654-7933-2
Contributo in Atti di Convegno (Proceeding)
Saeedi, Sepide; Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano (2022)
Spiking Neural Network Data Reduction via Interval Arithmetic. In: The 18th IEEE Workshop on Silicon Errors in Logic – System Effects (SELSE 2022), Virtual Event, May 19 – May 20, 2022, pp. 1-6. ISBN: 978-1-6654-5707-1
Contributo in Atti di Convegno (Proceeding)