Bug Localization Using Revision Log Analysis and Open Bug Repository Text Categorization. - Amir H. Moin; Mohammad Khansari 002 (OSS, 2010)

Impact of Resource Sharing on Performance and Performance Prediction: A Survey. - Andreas Abel 002; Florian Benz; Johannes Doerfert; Barbara Dörr; Sebastian Hahn 001; Florian Haupenthal; Michael Jacobs 002; Amir H. Moin; Jan Reineke 001; Bernhard Schommer; Reinhard Wilhelm (CONCUR, 2013)

Sense-Deliberate-Act Cognitive Agents for Sense-Compute-Control Applications in the Internet of Things and Services. - Amir H. Moin (IoT360 (1), 2014)

Domain Specific Modeling (DSM) as a Service for the Internet of Things and Services. - Amir H. Moin (IoT360 (1), 2014)

Access Control for Apps Running on Constrained Devices in the Internet of Things. - Andrei Mituca; Amir H. Moin; Christian Prehofer (SIoT, 2014)

ThingML+: Augmenting Model-Driven Software Engineering for the Internet of Things with Machine Learning. - Armin Moin; Stephan Rössler; Stephan Günnemann (MoDELS (Workshops), 2018)

From things' modeling language (ThingML) to things' machine learning (ThingML2). - Armin Moin; Stephan Rössler; Marouane Sayih; Stephan Günnemann (MoDELS (Companion), 2020)

Domain Specific Modeling (DSM) as a Service for the Internet of Things & Services. - Armin Moin (CoRR, 2020)

Sense-Deliberate-Act Cognitive Agents for Sense-Compute-Control Applications in the Internet of Things & Services. - Armin Moin (CoRR, 2020)

Data Analytics and Machine Learning Methods, Techniques and Tool for Model-Driven Engineering of Smart IoT Services. - Armin Moin (ICSE (Companion Volume), 2021)

A Model-Driven Engineering Approach to Machine Learning and Software Modeling. - Armin Moin; Atta Badii; Stephan Günnemann (CoRR, 2021)

Enabling Un-/Semi-Supervised Machine Learning for MDSE of the Real-World CPS/IoT Applications. - Armin Moin; Atta Badii; Stephan Günnemann (CoRR, 2021)

ML-Quadrat & DriotData: A Model-Driven Engineering Tool and a Low-Code Platform for Smart IoT Services. - Armin Moin; Andrei Mituca; Atta Badii; Stephan Günnemann (CoRR, 2021)

MDE4QAI: Towards Model-Driven Engineering for Quantum Artificial Intelligence. - Armin Moin; Moharram Challenger; Atta Badii; Stephan Günnemann (CoRR, 2021)

Supporting AI Engineering on the IoT Edge through Model-Driven TinyML. - Armin Moin; Moharram Challenger; Atta Badii; Stephan Günnemann (COMPSAC, 2022)

Towards Model-Driven Engineering for Quantum AI. - Armin Moin; Moharram Challenger; Atta Badii; Stephan Günnemann (GI-Jahrestagung, 2022)

ML-Quadrat & DriotData: A Model-Driven Engineering Tool and a Low-Code Platform for Smart IoT Services. - Armin Moin; Andrei Mituca; Moharram Challenger; Atta Badii; Stephan Günnemann (ICSE-Companion, 2022)

MDE for machine learning-enabled software systems: a case study and comparison of MontiAnna & ML-Quadrat. - Jörg Christian Kirchhof; Evgeny Kusmenko; Jonas Ritz; Bernhard Rumpe; Armin Moin; Atta Badii; Stephan Günnemann; Moharram Challenger (MoDELS (Companion), 2022)

Enabling Automated Machine Learning for Model-Driven AI Engineering. - Armin Moin; Ukrit Wattanavaekin; Alexandra Lungu; Moharram Challenger; Atta Badii; Stephan Günnemann (CoRR, 2022)

A model-driven approach to machine learning and software modeling for the IoT. - Armin Moin; Moharram Challenger; Atta Badii; Stephan Günnemann (Softw. Syst. Model., 2022)

Enabling Data Analytics and Machine Learning in Model-Driven Software Engineering of Smart IoT Services. - Armin Moin (2022)

Enabling Machine Learning in Software Architecture Frameworks. - Armin Moin; Atta Badii; Stephan Günnemann; Moharram Challenger (CAIN, 2023)

Model-Driven Quantum Federated Learning (QFL). - Armin Moin; Atta Badii; Moharram Challenger (Programming, 2023)

AI-Enabled Software and System Architecture Frameworks: Focusing on smart Cyber-Physical Systems (CPS). - Armin Moin; Atta Badii; Stephan Günnemann; Moharram Challenger (CoRR, 2023)

Model-Driven Engineering Techniques and Tools for Machine Learning-Enabled IoT Applications: A Scoping Review. - Zahra Mardani Korani; Armin Moin; Alberto Rodrigues da Silva; João Carlos Ferreira (Sensors, 2023)

Model-Driven Engineering for Quantum Programming: A Case Study on Ground State Energy Calculation. - Furkan Polat; Hasan Tuncer; Armin Moin; Moharram Challenger (COMPSAC, 2024)

Machine Learning-Enabled Software and System Architecture Frameworks. - Armin Moin; Atta Badii; Stephan Günnemann; Moharram Challenger (Zenodo, 2024)

From ML2 to ML2+: Integrating Time Series Forecasting in Model-Driven Engineering of Smart IoT Applications. - Zahra Mardani Korani; Moharram Challenger; Armin Moin; João Carlos Ferreira; Alberto Rodrigues da Silva; Gonçalo Vitorino Jesus; Elsa Lourenço Alves; Ricardo Correia Bezerra (MODELSWARD, 2025)

Enhancing SQL Injection Detection and Prevention Using Generative Models. - Naga Sai Dasari; Atta Badii; Armin Moin; Ahmed Abadulla Ashlam (CoRR, 2025)

Stock Price Prediction Using a Hybrid LSTM-GNN Model: Integrating Time-Series and Graph-Based Analysis. - Meet Satishbhai Sonani; Atta Badii; Armin Moin (CoRR, 2025)

Automated Duplicate Bug Report Detection in Large Open Bug Repositories. - Clare E. Laney; Andrew Barovic; Armin Moin (CoRR, 2025)

Automated Bug Report Prioritization in Large Open-Source Projects. - Riley Pierson; Armin Moin (CoRR, 2025)

Bug Destiny Prediction in Large Open-Source Software Repositories through Sentiment Analysis and BERT Topic Modeling. - Sophie C. Pope; Andrew Barovic; Armin Moin (CoRR, 2025)

TinyML for Speech Recognition. - Andrew Barovic; Armin Moin (CoRR, 2025)

Mining Software Repositories for Expert Recommendation. - Chad Marshall; Andrew Barovic; Armin Moin (CoRR, 2025)

OrQstrator: An AI-Powered Framework for Advanced Quantum Circuit Optimization. - Laura Baird; Armin Moin (CoRR, 2025)

LLM-Powered Quantum Code Transpilation. - Nazanin Siavash; Armin Moin (CoRR, 2025)