Resource allocation and scheduling in cloud computing. - Eman Elghoneimy; Othmane Bouhali; Hussein M. Alnuweiri (ICNC, 2012)

RAFNI: Robust Analysis of Functional NeuroImages with Non-normal α-Stable Error. - Halima Bensmail; Samreen Anjum; Othmane Bouhali; Mohammed El Anbari (ICONIP (1), 2012)

Gain uniformity of trapezoidal triple-GEM detectors. - Y. Maghrbi; Othmane Bouhali (ICST, 2013)

Computational Neuro-Modeling of Visual Memory: Multimodal Imaging and Analysis. - Mohammed El Anbari; Nawel Nemmour; Othmane Bouhali; Reda Rawi; Ali Sheharyar; Halima Bensmail (Brain Informatics and Health, 2014)

3D visualization to aid engineering education: A case study to visualize the impact of wireless signals on human brain. - Adnan Nasir; Ali Sheharyar; Muhammad Zeeshan Shakir; Khalid A. Qaraqe; Othmane Bouhali (EDUCON, 2014)

A Framework for Creating a Distributed Rendering Environment on the Compute Clusters. - Ali Sheharyar; Othmane Bouhali (CoRR, 2014)

Application of GPU processing for Brownian particle simulation. - Way Lee Cheng; Ali Sheharyar; Reza Sadr; Othmane Bouhali (Comput. Phys. Commun., 2015)

Spatio-temporal Visualization of Regional Myocardial Velocities. - Ali Sheharyar; Teodora Chitiboi; Eric Keller; Ozair Rahman; Susanne Schnell; Michael Markl 001; Othmane Bouhali; Lars Linsen (VCBM/MedViz, 2016)

The International Computational Science and Engineering Conference. - Othmane Bouhali; Ioannis G. Economou; Fedwa El-Mellouhi (J. Comput. Sci., 2016)

Visual Analysis of Regional Anomalies in Myocardial Motion. - Ali Sheharyar; Alexander Ruh; Maria Aristova; Michael Scott; Kelly Jarvis; Mohammed S. M. ElBaz; Ryan Dolan; Susanne Schnell; Kai Lin; James Carr; Michael Markl 001; Othmane Bouhali; et al. (VCBM@MICCAI, 2018)

Benchmarking the performance of plane-wave vs. localized orbital basis set methods in DFT modeling of metal surface: a case study for Fe-(110). - Kapil Adhikari; Aurab Chakrabarty; Othmane Bouhali; Normand Mousseau; Charlotte S. Becquart; Fedwa El-Mellouhi (J. Comput. Sci., 2018)

Some recent developments on computational science and engineering. - Othmane Bouhali; Ioannis G. Economou; Fedwa El-Mellouhi (J. Comput. Sci., 2018)

Averaging Ensembles Model for Forecasting of Short-term Load in Smart Grids. - Dabeeruddin Syed; Shady S. Refaat; Haitham Abu-Rub; Othmane Bouhali; Ameema Zainab; Le Xie 001 (IEEE BigData, 2019)

A Visual Analytics Tool for Cohorts in Motion Data. - Ali Sheharyar; Alexander Ruh; Dimitar Valkov; Michael Markl 001; Othmane Bouhali; Lars Linsen (VMV, 2019)

Visual analysis of regional myocardial motion anomalies in longitudinal studies. - Ali Sheharyar; Alexander Ruh; Maria Aristova; Michael Scott; Kelly Jarvis; Mohammed S. M. ElBaz; Ryan Dolan; Susanne Schnell; Kai Lin; James Carr; Michael Markl 001; Othmane Bouhali; et al. (Comput. Graph., 2019)

Privacy Preservation of Data-Driven Models in Smart Grids Using Homomorphic Encryption. - Dabeeruddin Syed; Shady S. Refaat; Othmane Bouhali (Inf., 2020)

Ensemble-Based Spam Detection in Smart Home IoT Devices Time Series Data Using Machine Learning Techniques. - Ameema Zainab; Shady S. Refaat; Othmane Bouhali (Inf., 2020)

Investigation on Optimizing Cost Function to Penalize Underestimation of Load Demand through Deep Learning Modeling. - Dabeeruddin Syed; Haitham Abu-Rub; Ameema Zainab; Mahdi Houchati; Othmane Bouhali; Ali Ghrayeb; Shady S. Refaat (IECON, 2021)

Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition. - Dabeeruddin Syed; Haitham Abu-Rub; Ali Ghrayeb; Shady S. Refaat; Mahdi Houchati; Othmane Bouhali; Santiago Bañales Lopez (IEEE Access, 2021)

Smart Grid Big Data Analytics: Survey of Technologies, Techniques, and Applications. - Dabeeruddin Syed; Ameema Zainab; Ali Ghrayeb; Shady S. Refaat; Haitham Abu-Rub; Othmane Bouhali (IEEE Access, 2021)

Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark. - Ameema Zainab; Ali Ghrayeb; Haitham Abu-Rub; Shady S. Refaat; Othmane Bouhali (IEEE Access, 2021)

Big Data Management in Smart Grids: Technologies and Challenges. - Ameema Zainab; Ali Ghrayeb; Dabeeruddin Syed; Haitham Abu-Rub; Shady S. Refaat; Othmane Bouhali (IEEE Access, 2021)

A Multiprocessing-Based Sensitivity Analysis of Machine Learning Algorithms for Load Forecasting of Electric Power Distribution System. - Ameema Zainab; Dabeeruddin Syed; Ali Ghrayeb; Haitham Abu-Rub; Shady S. Refaat; Mahdi Houchati; Othmane Bouhali; Santiago Bañales Lopez (IEEE Access, 2021)

Differentiating between giant cell arteritis and atherosclerosis on [18F]FDG-PET: an explainable machine learning approach. - H. S. Vries; G. D. Van Praagh; P. H. Nienhuis; Othmane Bouhali; Riemer H. J. A. Slart; L. Alic (CBMS, 2023)

Machine Learning Assisted Approach for Water Leaks Detection. - Sara Badar; Souad Labghough; Almaha Al-Abdulghani; Eiman Mohammed; Othmane Bouhali; Khalid A. Qaraqe (ICOIN, 2023)