5 citations · 5 across the 8 of their papers we have counts for
8 papers
LLMCrater: Lifecycle-Aware FAIR Metadata Generation using Large Language Models
Dani Termaat, Nafiseh Soveizi, Zhiming Zhao +1
FAIR (Findable, Accessible, Interoperable, and Reusable) metadata is essential for the discovery, interoperability, and reuse of scientific research assets. However, creating and m…
An AI-Assisted Migration Framework for Transforming Legacy Scientific Applications into Reusable Cloud-Based Workflows
Nafiseh Soveizi, Sven Tesselaar, Hero Robinson Brouwer +1
Legacy scientific applications remain valuable research assets but are often tightly coupled to project-specific execution environments, limiting their reuse, reproducibility, and…
From Metrics to Improvement: A Lifecycle-Aware LLM Feedback Framework for Research Software Quality
Nafis Tanveer Islam, Nafiseh Soveizi, Yutong Li +1
Research software is increasingly central to scientific workflows, yet it is often developed by researchers with limited software engineering expertise. This can lead to quality is…
A Multi-Viewpoint Modeling Framework for Digital Twin Integration and Reuse with LLM-Assisted Compatibility Analysis
Nafiseh Soveizi, Milan Kopp, Parinaz Rashidi +4
Digital Twin (DT) ecosystems integrate heterogeneous computational models to represent complex systems under evolving, purpose-specific objectives. Systematic reuse of existing hig…
Reinforcement Learning-Driven Adaptation Chains: A Robust Framework for Multi-Cloud Workflow Security
Nafiseh Soveizi, Dimka Karastoyanova
Cloud computing has emerged as a crucial solution for managing data- and compute-intensive workflows, offering scalability to address dynamic demands. However, security concerns pe…
Enhancing Workflow Security in Multi-Cloud Environments through Monitoring and Adaptation upon Cloud Service and Network Security Violations
Nafiseh Soveizi, Dimka Karastoyanova
Cloud computing has emerged as a crucial solution for handling data- and compute-intensive workflows, offering scalability to address dynamic demands. However, ensuring the secure…
SecFlow: Adaptive Security-Aware Workflow Management System in Multi-Cloud Environments
Nafiseh Soveizi, Fatih Turkmen
In this paper, we propose an architecture for a security-aware workflow management system (WfMS) we call SecFlow in answer to the recent developments of combining workflow manageme…
Security and Privacy Concerns in Cloud-based Scientific and Business Workflows: A Systematic Review
Nafiseh Soveizi, Fatih Turkmen, Dimka Karastoyanova
Today, the number of data-intensive and compute-intensive applications like business and scientific workflows has dramatically increased, which made cloud computing more popular in…