Particle Swarm Optimization for Performance Management in Multi-cluster IoT Edge Architectures. - Shelernaz Azimi; Claus Pahl; Mirsaeid Hosseini Shirvani (CLOSER, 2020)

Performance Management in Clustered Edge Architectures Using Particle Swarm Optimization. - Shelernaz Azimi; Claus Pahl; Mirsaeid Hosseini Shirvani (CLOSER (Selected Papers), 2020)

A Fuzzy Controller for Self-adaptive Lightweight Edge Container Orchestration. - Fabian Gand; Ilenia Fronza; Nabil El Ioini; Hamid R. Barzegar; Shelernaz Azimi; Claus Pahl (CLOSER, 2020)

Fuzzy Container Orchestration for Self-adaptive Edge Architectures. - Fabian Gand; Ilenia Fronza; Nabil El Ioini; Hamid R. Barzegar; Shelernaz Azimi; Claus Pahl (CLOSER (Selected Papers), 2020)

A Layered Quality Framework for Machine Learning-driven Data and Information Models. - Shelernaz Azimi; Claus Pahl (ICEIS (1), 2020)

Root Cause Analysis and Remediation for Quality and Value Improvement in Machine Learning Driven Information Models. - Shelernaz Azimi; Claus Pahl (ICEIS (1), 2020)

Continuous Data Quality Management for Machine Learning based Data-as-a-Service Architectures. - Shelernaz Azimi; Claus Pahl (CLOSER, 2021)

AI Quality Engineering for Machine Learning Based IoT Data Processing. - Shelernaz Azimi; Claus Pahl (CLOSER (Selected Papers), 2021)

The Effect of IoT Data Completeness and Correctness on Explainable Machine Learning Models. - Shelernaz Azimi; Claus Pahl (DEXA (2), 2021)

Constructing Dependable Data-Driven Software With Machine Learning. - Claus Pahl; Shelernaz Azimi (IEEE Softw., 2021)

A Quality-driven Machine Learning Governance Architecture for Self-adaptive Edge Clouds. - Claus Pahl; Shelernaz Azimi; Hamid R. Barzegar; Nabil El Ioini (CLOSER, 2022)

The Impact of Data Completeness and Correctness on Explainable Machine Learning Models. - Shelernaz Azimi; Claus Pahl (J. Data Intell., 2022)

Anomaly analytics in data-driven machine learning applications. - Shelernaz Azimi; Claus Pahl (Int. J. Data Sci. Anal., 2025)