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Ashkan Sami

Professor of Computer Science (Software Engineering)

Edinburgh Napier University

United Kingdom

Research Interests

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About

Ashkan Sami is a Professor of Computer Science specializing in Software Engineering at Edinburgh Napier University, UK. His research interests include deep learning applications, software development effort estimation, and data mining techniques, as evidenced by his recent publications on topics such as cloud-native network slicing and structured radiology reports. He has also contributed to studies on vulnerability identification in crowd-sourced code and outage cause identification in power distribution systems.

Articles (14)

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2027

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2022

Collaborators (3)

Tarik Taleb

Ruhr-Universität Bochum

GERMANY

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Peter Barclay

Lecturer

Edinburgh Napier University

UNITED KINGDOM

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Yanchao Yu

Lecturer

Edinburgh Napier University

UNITED KINGDOM

View details

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Ashkan Sami

Research Interests

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Articles (14)

What Do AI Agents Actually Change? An Empirical Taxonomy of Mutation Patterns in Performance-Improving Pull Requests

Secure coding with AI – from detection to repair

Challenges and feasibility of multimodal LLMs in ER diagram evaluation

Exploring the black box: analysing explainable AI challenges and best practices through stack exchange discussions

Reputation Gaming in Crowd Technical Knowledge Sharing

FortisEDoS: A Deep Transfer Learning-Empowered Economical Denial of Sustainability Detection Framework for Cloud-Native Network Slicing

Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique

CoBRA without experts: New paradigm for software development effort estimation using COCOMO metrics

Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique

An Empirical Study of C plus plus Vulnerabilities in Crowd-Sourced Code Examples

Data mining-based cause identification of momentary outages in power distribution systems

Data mining-based cause identification of momentary outages in power distribution systems

EfficientMask-Net for face authentication in the era of COVID-19 pandemic

EfficientMask-Net for face authentication in the era of COVID-19 pandemic

Collaborators (3)

Tarik Taleb

Peter Barclay

Yanchao Yu

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