Students’ Advanced Projects

Key Topics: emotional state, deep learning, neural networks

Empath-AI: an artificial neural network to detect/recognise emotional state

Students: Adriano Capirchio (, Francesco Montedori (, Alessandro Acciai ( 

Key Topics: text-to-speech, speech-to-text, diarization, deep learning, voice recognition

Phone calls event identification system for deaf users

Student: Stefano Artuso (

Key Topics: robotics, rehabilitation, deep learning Assessing videos about human-human interaction during the physical therapy to retarget robot-human therapyStudent: Christian Tamantini (
Key Topics: neurorobotics, Parkinson’s disease, virtual patient

Neurorobotic model to study the role of serotonin in Parkinson’s disease

Student: Silvia Buscaglione (

Key Topics: language, artificial neural networks

Language improves goal-directed behaviour

Student: Alessando Buttinelli (; Giovanni Granato ( 

Key Topics: hippocampus, artificial neural networks, brain diseases

Novelty based learning of place cells in Hippocampus: Computational models

Students: Federico Cascino (, Pierangelo Afferni ( 

Key Topics: cerebellum, posture control, spiking neural network

Neurorobotic model of a spiking cerebellum: trajectory prediction during a reaching task

Student: Marco Celotto ( 

Key Topics: cerebellum, prefrontal cortex, associative learning, spiking neuron model

A spiking neuron model to study how the cerebellum learns
to manage time

Student: Pierandrea Mirino ( 

Key Topics: brain disease, artificial neural networks, neglect

An integrative tool to assess and evaluate spatial cognition with tangible interfaces and AI systems

Student Antonio Cerrato (

Key Topics: post-traumatic stress disorder, propranolol

A computational model of propranolol therapy for mouse models of post-traumatic stress disorder (PTSD)

Student: Andrea Mattera (

Key Topics: politics, sentiment analysis, data science

AI systems for the automatic evaluation of personal cognitive skills and values

Students: Leandro De Persiis (, Fabio D’Amore (

Key Topics: mind, neural network, brain

Flexible goal-directed behaviour and internal attention: building blocks for consciousness?

Student: Giovanni Granato (

Key Topics: swarm robotics, decision making, multiagent simulation

Collective decision making in dynamic environments

Student: Violetta La Franca (

Key Topics: social crisis, agent based social simulation, data aggregator

Future prax – forecasting social crisis

Student: Roberto Mascilongo (

Key Topics: deep learning, natural language processing


AI systems aiming to reach patients unable to contact a mental health structure or specialist and to support clinical decision-making

Students: Ioana Biris (, Leda Tortora (

Key Topics: deep learning, computer vision

AI for Video Surveillance: from people silhouettes to people identities

Students: Massimiliano Bruni  (

Key Topics: deep learning, working memory

Simulating a working memory in a delayed match-to-sample task: A computational model based on a LSTM deep neural network

Student: Fabrizio Carlo (

Key Topics: machine learning, tumor early diagnosis

Machine Learning Analysis of Cancer – Omics Data Unveils Early Diagnostic Biomarkers

Student: Federica Farinella (

Key Topics: social simulation, graph theory

Democracy perception analysis in the European population:
an empirical and computational study

Student: Luca Marconi (

Key Topics: deep learning, physics

Magnetic sources depth estimation by means of deep learning
Student: Alessandro Pignatelli   (

Key Topics: Human-Machine Interaction, Assisted / Autonomous  Control Device Alternative Interaction System (dAIsy)

Students: Massimiliano Bruni  (, Chiara Fanco  (,  Francesco Palini (

Key Topics: AI, deep learning, job finder

How to find job in AI

Student: Marco Giancola (

key Topics: deep learning

Le prestazioni sociali cui hai diritto: SimplifAI Ted 

StudentGiovanni Pizza (, Leandro De Persiis (, Fabio D’Amore (