Foto del docente

Alessia Saporita

Research fellow

Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi"

PhD Student

Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi"

Academic discipline: ING-INF/05 Information Processing Systems

Curriculum vitae

Curriculum vitæ of Alessia Saporita

Personal information
Name / Surname: Alessia Saporita
Address: Via Giuseppe Fava 49
Email: alessia.saporita2@unibo.it
Nationality: Italian
Date of birth: 01/12/2000
Gender: Female


Education
Title of qualification awarded: Master Degree in Computer Engineering (LM-32)
Dates: September 2022 - July 2024
Name of organization providing education and training: University of Modena and Reggio Emilia
Degree mark: 110/110 L
Title of final thesis: Tackling Unseen Modalities in Vision and Language via Feature Projection

Title of qualification awarded: Bachelor Degree in Computer Engineering (L-8)
Dates: September 2019 - July 2022
Name of organization providing education and training: University of Modena and Reggio Emilia
Degree mark: 109/110
Title of final thesis: Convolutional Neural Network and Explainability for Image Classification

Work experience/Stage
Occupation or position held: Research Fellow
Name of employer: University of Modena and Reggio Emilia
Dates: September 2024 – October 2024
Main activities: Study of multimodal large language models robust to missing modalities.
Type of business or sector: Computer Science (Artificial Intelligence)


Occupation or position held: Internship
Name of employer: University of Modena and Reggio Emilia
Dates: December 2023 - June 2024
Main activities: Development of multimodal foundation models to tackle missing and unseen modalities
in vision and language tasks.
Type of business or sector: Computer Science (Artificial Intelligence)

Occupation or position held: Internship
Name of employer: University of Modena and Reggio Emilia
Dates: March 2022 – June 2022
Main activities: Development of Convolutional Neural Networks for image classification and application
of explainability techniques.
Type of business or sector: Computer Science (Artificial Intelligence)


Personal skills and competences
Mother tongue: Italian
English: Advanced

Machine Learning Tools: Pytorch, Tensorflow, Sklearn, OpenCV, Pandas, Numpy, CUDA.

Programming skills and competences
Python, C/C++, MATLAB, Java.

 

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