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 (adrianocapirchio86@gmail.com), Francesco Montedori (monte.montedori@gmail.com), Alessandro Acciai (ale.acciai@gmail.com)

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

Phone calls event identification system for deaf users

Student: Stefano Artuso (s.artuso@pedius.org)

Key Topics: robotics, rehabilitation, deep learning

Assessing videos about human-human interaction during the physical therapy to retarget robot-human therapyStudent: Christian Tamantini (tamantinichristian@gmail.com)

Key Topics: neurorobotics, Parkinson’s disease, virtual patient

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

Student: Silvia Buscaglione (buscaglione.silvia@gmail.com)

Key Topics: language, artificial neural networks

Language improves goal-directed behaviour

Student: Alessando Buttinelli (ale.buttinelli1@stud.uniroma3.it); Giovanni Granato (giovanni.granato92@gmail.com)

Key Topics: hippocampus, artificial neural networks, brain diseases

Novelty based learning of place cells in Hippocampus: Computational models

Students: Federico Cascino (fedecash2@gmail.com), Pierangelo Afferni (p.afferni@unicampus.it)

Key Topics: cerebellum, posture control, spiking neural network

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

Student: Marco Celotto (celotto.1650378@studenti.uniroma1.it)

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 (andrea.mirino@gmail.com)

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 (antonio.cerrato@unina.it)

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 (andrea.mattera.85@gmail.com)

Key Topics: politics, sentiment analysis, data science

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

Students: Leandro De Persiis (depersiis.l@gmail.com), Fabio D’Amore (f_d_amore@hotmail.com)

Key Topics: mind, neural network, brain

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

Student: Giovanni Granato (giovanni.granato92@gmail.com)

Key Topics: swarm robotics, decision making, multiagent simulation

Collective decision making in dynamic environments

Student: Violetta La Franca (viola.leila@hotmail.it)

Key Topics: social crisis, agent based social simulation, data aggregator		Future prax – forecasting social crisis Student: Roberto Mascilongo (globalstr@gmail.com)
Key Topics: deep learning, natural language processing		PsAIcare AI systems aiming to reach patients unable to contact a mental health structure or specialist and to support clinical decision-making Students: Ioana Biris (ioanabiris@libero.it), Leda Tortora (leda.tortora@hotmail.it)
Key Topics: deep learning, computer vision		AI for Video Surveillance: from people silhouettes to people identities Students: Massimiliano Bruni (massimiliano.bruni@icloud.com)
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 (carlo.fabrizio217@gmail.com)
Key Topics: machine learning, tumor early diagnosis		Machine Learning Analysis of Cancer – Omics Data Unveils Early Diagnostic Biomarkers Student: Federica Farinella (federica.farinella1@gmail.com)
Key Topics: social simulation, graph theory		Democracy perception analysis in the European population: an empirical and computational study Student: Luca Marconi (luca.marc@hotmail.it)
Key Topics: deep learning, physics		Magnetic sources depth estimation by means of deep learning Student: Alessandro Pignatelli (alessandro.pignatelli@ingv.it)
Key Topics: Human-Machine Interaction, Assisted / Autonomous Control		Device Alternative Interaction System (dAIsy) Students: Massimiliano Bruni (massimiliano.bruni@icloud.com), Chiara Fanco (chiarafanco@gmail.com), Francesco Palini (palini.francesco@gmail.com)
Key Topics: AI, deep learning, job finder		How to find job in AI Student: Marco Giancola (giancolamarco@libero.it)
key Topics: deep learning		Le prestazioni sociali cui hai diritto: SimplifAI Ted Student: Giovanni Pizza (gio_pizza@hotmail.it), Leandro De Persiis (depersiis.l@gmail.com), Fabio D’Amore (f_d_amore@hotmail.com)