Assistant Professor
Update: 2025-11-21
Dara Rahmati
Computer Science and Engineering / Computer and Network Architecture
Master Theses
-
A Built-In Self-Test Approach for Quantitative Fault Analysis in Fault-Tolerant AI Accelerators
Milad Karami 2025 -
Accelerating convolutional neural network computing using stochastic computing
Fatemeh Sepahvand 2024 -
Design hardware accelerator for Transformer Neural Networks
Alireza Taghavizade 2024 -
Hardware Implementation Of Neural Networks Activation Circuits Using Stochastic Computing
Sajjad Shabani golsefidi 2024 -
Designing Efficient Hardware Accelerator for Neural Networks Based on Residue Number Systems
Seyedeh soudabeh Mousavi 2024 -
Using neural network accelerators to increase the efficiency of capsule networks
Mohammad Mahboobi 2023 -
Exploiting Processing-in-Memory for DNN Hardware Acceleration by using Partitioning and Mapping
Iman Barzegari 2023 -
Hardware Accelerating Garbage Collection based on Processing-in-Memory
Hamid Farzaneh 2022
