Foto del docente

Alessia Saporita

PhD Student

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

Research fellow

"Ercole De Castro" Research Centre on Electronic Systems for Information and Communication Technologies

Academic discipline: ING-INF/05 Information Processing Systems

Curriculum vitae

Download Curriculum Vitae (.pdf 189KB )

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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