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Teaching Assistant

University of Trento

Introduction to Machine Learning

Research Assistant

Fondazione Bruno Kessler

Developed deep learning models for video surveillance analysis using PyTorch, including video anonymization, object detection, tracking, and anomaly detection.

Master's Student Intern

Huawei Technologies Duesseldorf GmbH

Developed deep learning models using TensorFlow and Detectron2 to automatically correct road networks for microscopic traffic simulation from satellite imagery, reducing traffic simulation preparation time.

Bachelor's Student Intern

CBA Group

Developed a client-server system for centralized data quality monitoring of electronic health records, integrating data from distributed databases using Spring Framework and PostgreSQL.

PhD Student

University of Trento, Trento, Italy

Machine Learning

Master of Science

University of Trento, Trento, Italy

Computer Science

Bachelor of Science

University of Trento, Trento, Italy

Computer Science

Outstanding Reviewer

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Excellent Innovation

European Commission's Innovation Radar

Excellent Innovation awarded to VideoAnony, developed under the Horizon 2020 project MARVEL

Best Project Award

ELLIS Summer School on Large-Scale AI

Can Text-to-Video Generation help Video-Language Alignment?

IEEE/CVF Conference on Computer Vision and Pattern Recognition

Delving into CLIP latent space for Video Anomaly Recognition

Computer Vision and Image Understanding

Harnessing Large Language Models for Training-free Video Anomaly Detection

IEEE/CVF Conference on Computer Vision and Pattern Recognition

Confmix: Unsupervised domain adaptation for object detection via confidence-based mixing

IEEE/CVF Winter Conference on Applications of Computer Vision

Graph-based generative face anonymisation with pose preservation

International Conference on Image Analysis and Processing