Ph.D. in Ingegneria Informatica E Dei Sistemi , 37th cycle (2021-2024)
Ph.D. obtained in 2026
Dissertation:
Fast and Accurate Prediction of the Impact of Approximate Operators on a Complex Computation (Abstract)
Tutors:
Stefano Di Carlo Alessandro Savino
Research presentation:
PosterProfile
Research topic
Fast and Accurate Prediction of the Impact of Approximate Operators on a Complex Computation
Keywords
Biography
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.
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- Saeedi, Sepide (2026)
Fast and Accurate Prediction of the Impact of Approximate Operators on a Complex Computation. relatore: DI CARLO, STEFANO; SAVINO, ALESSANDRO; , 37. XXXVII Ciclo, P.: 127
Doctoral Thesis - 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 - Saeedi, Sepide; Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano (2024)
Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks. In: 2024 IEEE International Conference on Design, Test and Technology of Integrated Systems (DTTIS), Aix-EN-PROVENCE, France, 14-16 October 2024, pp. 1-6. ISBN: 979-8-3503-6312-8
Contributo in Atti di Convegno (Proceeding) - 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)
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) - 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)