Available Topics
Master Degree
- G. Cancello Tortora, TITLE TO BE DEFINED, MS in Artificial Intelligence and Data Engineering presso Università di Pisa, a.y. 2022-23.
- F. Marabotto, TITLE TO BE DEFINED, MS in Artificial Intelligence and Data Engineering presso Università di Pisa, a.y. 2022-23.
- L. Turchetti, TITLE TO BE DEFINED, MS in Artificial Intelligence and Data Engineering presso Università di Pisa, a.y. 2022-23.
- P. Calabrese, TITLE TO BE DEFINED, MS in Artificial Intelligence and Data Engineering presso Università di Pisa, a.y. 2022-23.
- M. Martorana, A Novel Feature Importance Measure To Explain The Quality Level Prediction In Smart Manufacturing, MS in Artificial Intelligence and Data Engineering presso Università di Pisa, a.y. 2021-22.
- N. Mota, Development of explainable machine learning architectures for affective computing (thesis in progress, temporary title), MS in Computer Engineering, a.y. 2021-22.
- F. Ritorti, Emotion detection via Explainable Affective Computing for physiological signals (thesis in progress, temporary title), MS in Artificial Intelligence and Data Engineering, a.y. 2021-22.
- M. A. Gherardi, Predictive maintenance via multi-modal autoencoder with shared latent representation (thesis in progress, temporary title), MS in Computer Engineering, a.y. 2021-22.
- M. Quintavalla, Using electroencephalogram signals to recognize brain activities (thesis in progress, temporary title), MS in Artificial Intelligence and Data Engineering, a.y. 2021-22.
- F. Balestri, Explainable Artificial Intelligence for Brain-Computer Interface (thesis in progress, temporary title), MS in Artificial Intelligence and Data Engineering, a.y. 2021-22.
- G. Gagliardi, A novel multimodal feature learning architecture for explainable affective computing, MS in Artificial Intelligence and Data Engineering, a.y. 2021-22.
- A. Pochiero, An Interpretable Multi Channel Feature Learner based on Deep Autoencoder for Predictive Maintenance, MS in Computer Engineering, a.y. 2020-21.
- L. Nannini, Technological troubleshooting based on sentence embeddings via deep Neural Networks, MS in Computer Engineering, a.y. 2020-21.
- A. De Rosa, Ottimizzazione e incremento dell’efficienza dei processi aziendali mediante l’uso di strumenti digitali, MS in Ingegneria Gestionale presso Politecnico di Torino, a.y. 2019-20.
- R. Rocchi, Anomaly Detection based on Deep Autoencoder for manufacturing processes, MS in Computer Engineering, a.y. 2019-20.
- G. Marchini, Computational intelligence techniques applied to mobility data in the city science environment, MS in Computer Engineering, a.y. 2018-19.
- S. Musetti, Using evolutionary optimization and computational stigmergy to detect purchase hotspots from spatiotemporal credit card transactions, a.y. 2018-19.
- M. Monaco, Progettazione e realizzazione di un algoritmo di coordinamento di sciami di droni basato sulla swarm intelligence per il rilevamento e l’inseguimento di target dinamici, CdL Spec. Ing. Informatica per la Gestione d’Azienda, a.a. 2016-17.
- S. Egidi, A stigmergy-based framework for mining infrequent activity patterns in urban hotspots using taxi GPS data, MS in Computer Engineering, a.y. 2015-16.
- P. Piscione, Development of a simulation environment for the adaptive coordination of UAV swarm performing distributed target search via stigmergy and flocking, MS in Computer Engineering, a.y. 2015-16.
Bachelor Degree [grouped by topic]
- SWARM OF DRONES: E. Logiudice, F. Barbetta, G. Pilè, G. Turrisi, G. Baris, S. D'Avella, S. Musetti, A. Aliperti, R. Zippo, L. Gagliani, G. Marchini, M. Carrai.
- E-HEALTH: A. Tricoli, R. Mulè, V. Gately, V. Rispo, L. Perrone.
- SMART CITIES: R. Fiorini, G. Tornabene, L. Visalli, P. Tempesti, L. Poggiani, A. Macri, F.Campilongo, S. Bonanno, S. Cunsolo, U. Villani, K. Tubak, L. Mannocci, P. Grimaldi, M. Dessi', S. Poleggi, A. Chelaru, E. Senore, P. Gronchi, A. Pochiero, F. Scotto, S. Lotano, G. Alvaro, A. Gherardi, G. Rosi, L. Poggiani, D. Morucci, L. Cocchella, A. Fabbri, H. P. Silva, M.V. Caroti, M. Imbelli Cai, I. Canetta, E. M. Manoni, C. Liu, J. Niccolai, A. Mencarelli.
- INDUSTRY 4.0: F. Hudema, M. Pierucci, A. Bullari, A. Gerratana, D. Falcone, C. Di Puorto.
- BIOMEDICAL SIGNAL ANALYSIS: C. Bruchi, D. Giaquinta, A. Di Ricco, F. Frati, G. Marcuccetti, S. Micheloni, G. Capecchi, F. Cavedoni.
MAIL ME