FastTopK: A Fast Top-K Trajectory Similarity Query Processing Algorithm for GPUs. - Hamza Mustafa; Eleazar Leal; Le Gruenwald (IEEE BigData, 2018)

An Experimental Comparison of GPU Techniques for DBSCAN Clustering. - Hamza Mustafa; Eleazar Leal; Le Gruenwald (IEEE BigData, 2019)

GTraclus: A Local Trajectory Clustering Algorithm for GPUs. - Hamza Mustafa; Clark Barrus; Eleazar Leal; Le Gruenwald (ICDE Workshops, 2021)

Multi-Stream Deep Neural Network for Diabetic Retinopathy Severity Classification Under a Boosting Framework. - Hamza Mustafa; Syed Farooq Ali; Muhammad Bilal 001; Shehzad Muhammad Hanif (IEEE Access, 2022)

GTraclus: a novel algorithm for local trajectory clustering on GPUs. - Hamza Mustafa; Clark Barrus; Eleazar Leal; Le Gruenwald (Distributed Parallel Databases, 2023)

A Deep Learning System for Water Pollutant Detection Based on the SENSIPLUS Microsensor. - Hamza Mustafa; Mario Molinara; Luigi Ferrigno; Michele Vitelli (ICPR (23), 2024)

UniCas for Industry. - Alessio Miele; Hamza Mustafa; Michele Vitelli; Alessandro Bria; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (Ital-IA, 2024)

Preliminary Evaluation of Machine Learning Approaches for PANTONE Color Classification with the SENSIPATCH wearable system. - Hamza Mustafa; Michele Vitelli; Filippo Milano; Mario Molinara; Luigi Ferrigno; Andrea Ria; Federico Fina; Fabio Leccese (I2MTC, 2025)

Evaluation of Deep Learning Models for State of Charge Estimation for Lithium Batteries Using Image-Encoded Electrochemical Impedance Spectroscopy Data. - Hamza Mustafa; Michele Vitelli; Filippo Milano; Mario Molinara; Luigi Ferrigno (MetroAutomotive, 2025)