Hafssa BOUJIDA

Processed and prepared multivariate time series from robotic surgery datasets.
Conducted exploratory data analysis (EDA) to identify temporal patterns and task variability.
Designed and implemented multiple time series clustering and classification pipelines.
Applied time series averaging techniques to extract representative surgical task behaviors and analyze variability across surgeon.
Contributed to interpretable analysis aimed at expertise assessment, explicability, and surgical guidance, in collaboration with domain experts.
Managed computational workloads using SLURM to ensure efficient processing.

Processed and prepared multivariate time series from robotic surgery datasets, Conducted exploratory data analysis (EDA) to identify temporal patterns and task variability, Designed and implemented multiple time series clustering and classification pipelines, Applied time series averaging techniques to extract representative surgical task behaviors and analyze variability across surgeon, Contributed to interpretable analysis aimed at expertise assessment, explicability, and surgical guidance, in collaboration with domain experts, Managed computational workloads using SLURM to ensure efficient processing

Prepared data for analysis and built efficient data processing pipelines, including cleaning, filtering, and feature selection.
Utilized machine learning libraries for data visualization.
Trained and compared three regression algorithms: KNN, Decision Tree, and ExtraTrees.
Optimized models using Optuna with cross-validation.
Achieved an R² score of 94% for predicting decoding time of 1080p video frames.

Prepared data for analysis and built efficient data processing pipelines, including cleaning, filtering, and feature selection, Utilized machine learning libraries for data visualization, Trained and compared three regression algorithms: KNN, Decision Tree, and ExtraTrees, Optimized models using Optuna with cross‑validation, Achieved an R² score of 94% for predicting decoding time of 1080p video frames

Analyzed energy consumption across various video streaming components.
Developed a holistic consumption model for each streaming component.
Evaluated the impact of video resolution changes on total energy consumption.
Created data visualizations using Matplotlib and PowerBI to communicate findings effectively.