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Defence

Meysam Sharifzadeh who defended his MSc. thesis.

Meysam Sharifzadeh defended his Msc. thesis entitlled as "Improving the reliability testing of embedded systems software" on June …

Defence

An Efficient Scheduling Scheme for Distributed Real-Time Systems

In recent years, with the smartening of equipment in the industry, Industrial Internet of Things …

Defence

Speeding -up the Vulnerability Analysis of Convolutional Neural Network Using Pruning

Nowadays, neural networks have been effective in solving many deep learning problems. Deep neural …

Defence

Energy Efficient Multi Retention STT-RAM Architecture and Memory Mapping for IoT Applications

Nowadays, devices connected to the Internet of Things (IoT) are widely used in human life. Since these devices generally …

Defence

An Efficient ReRAM-based Processing-in-Memory Architecture for Graph Computing

Graph analysis is the basis for many applications, e.g., hardware optimization and streaming data problems. …

Defence

An Energy-Efficient Processing-In-Memory Architecture for Big Data bitwise Application

Memory in computer systems is considered a bottleneck for system speed because it responds slowly to processor requests. This …

Defence

Energy Consumption Improvement For STT-RAM-based IOT Devices

Today, the Internet of Things has become an inseparable part of human life. The energy consumption of these devices …

Defence

Reliability Improvement in Domain-Wall based Cache Memories

Conventional memory technologies like SRAM and DRAM face different limitations in nanoscale technologies such as high leakage current and …

Defence

Performance Improvement of Neural Networks in Edge Computing with Heterogeneous devices

Executing deep learning models on edge devices is challenging due to their high computational complexity. The simultaneous …

Defence

Improving Performance of ReRAM-based Processing-in-Memory Architecture for Recurrent Neural Networks

Farshad Ahadinia defended his Msc. thesis entitlled as Improving Performance of ReRAM-based Processing-in-Memory Architecture for Recurrent Neural Networks on June 2023. 

Defence

Zahra Azharirad who defended her MSc. thesis

Zahra Azharirad defended her MSc. thesis entitled as "An Adaptive Sampling Methodfor smartwatch Energy Management"

Defence

Farshid Sanei who defended his MSc. thesis.

Farshid Sanei defended his Msc. thesis entitlled as "A Link Adaptation Scheme for Downlink Reliability Improvement in Narrowband Internet of …

Defence

Samiei who defended his bachelor project,

Saeed Samiei defended his Bachelor Project entitled as "Designed and developed a student-professor communication system based on IOT", Jan, 2020.

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