Sum-of-the-Parts Valuation-Based Scheduling of Parallel Applications over Global Grid. - Aroosa Hameed; Muhammad Usman (FIT, 2017)

IoT Traffic Multi-Classification Using Network and Statistical Features in a Smart Environment. - Aroosa Hameed; Aris Leivadeas (CAMAD, 2020)

A Machine Learning Regression Approach for Throughput Estimation in an IoT Environment. - Aroosa Hameed; John Violos; Nina Santi; Aris Leivadeas; Nathalie Mitton (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2021)

An Innovative Neuro-Genetic Algorithm and Geometric Loss Function for Mobility Prediction. - Stylianos Tsanakas; Aroosa Hameed; John Violos; Aris Leivadeas (MobiWac, 2021)

Automated and Reproducible Application Traces Generation for IoT Applications. - Nina Santi; Rémy Grünblatt; Brandon Foubert; Aroosa Hameed; John Violos; Aris Leivadeas; Nathalie Mitton (Q2SWinet, 2021)

An Unsupervised Machine Learning Approach for IoT Device Categorization. - Faïçal Sawadogo; John Violos; Aroosa Hameed; Aris Leivadeas (MeditCom, 2022)

A Deep Learning Approach for IoT Traffic Multi-Classification in a Smart-City Scenario. - Aroosa Hameed; John Violos; Aris Leivadeas (IEEE Access, 2022)

Toward QoS Prediction Based on Temporal Transformers for IoT Applications. - Aroosa Hameed; John Violos; Aris Leivadeas; Nina Santi; Rémy Grünblatt; Nathalie Mitton (IEEE Trans. Netw. Serv. Manag., 2022)

Deep Learning-Based Anomaly Detection in 5G Cellular Networks. - Umar Farooq; Aroosa Hameed; Aris Leivadeas; Ioannis Lambadaris (IISA, 2024)

A light-weight edge-enabled knowledge distillation technique for next location prediction of multitude transportation means. - Stylianos Tsanakas; Aroosa Hameed; John Violos; Aris Leivadeas (Future Gener. Comput. Syst., 2024)

Blockchain-as-a-Service: Architecture, Opportunities and Challenges. - Syed Muhammad Danish; Gautam Srivastava 001; Reza Nourmohammadi; Nouman Ashraf; Ali Ranjha; Aroosa Hameed (IEEE Internet Things Mag., 2024)

Transformer-Based Link Failure Detection in 5G Cellular Networks. - Umar Farooq; Aroosa Hameed; Aris Leivadeas; Ioannis Lambadaris (ICC, 2025)

Block-FeDL: Electric Vehicle Charging Load Forecasting Using Federated Learning and Blockchain. - Syed Muhammad Danish; Aroosa Hameed; Ali Ranjha; Gautam Srivastava 001; Kaiwen Zhang 001 (IEEE Trans. Veh. Technol., 2025)

FeD-TST: Federated Temporal Sparse Transformers for QoS Prediction in Dynamic IoT Networks. - Aroosa Hameed; John Violos; Nina Santi; Aris Leivadeas; Nathalie Mitton (IEEE Trans. Netw. Serv. Manag., 2025)

Block-FeST: Blockchain-Enhanced Federated Sparse Transformers for Privacy-Preserving RES Forecasting in Internet of Vehicles Systems. - Aroosa Hameed; Syed Muhammad Danish; Ali Ranjha; Gautam Srivastava 001 (IEEE Internet Things J., 2025)

RefactorCoderQA: Benchmarking LLMs for Multi-Domain Coding Question Solutions in Cloud and Edge Deployment. - Shadikur Rahman; Aroosa Hameed; Gautam Srivastava 001; Syed Muhammad Danish (CoRR, 2025)