Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 34^th cycle (2018-2021)

Ph.D. obtained in 2022

Profile

Research topic

Machine Learning Algorithms and their Embedded Implementation for Service Robotics Applications

Research interests

Big Data, Machine Learning, Neural Networks and Data Science

Mechatronics and robotics

Biography

He is PhD student in Electrical, Electronics and Communications Engineering working with the two Interdepartmental Centres PIC4SeR and SmartData. He received the master’s degree in Mechatronics Engineering from the Politecnico di Torino, presenting a thesis entitled "Use of deep learning for automatic low cost detection of cracks in tunnels", developed in collaboration with the California State University. His current research interests involve deep learning applied to different tasks of computer vision, autonomous navigation for service robotics and reinforcement learning. Moreover, making use of neural compute devices (like Jetson Xavier, Jetson Nano, Movidius Neural Stick) for hardware acceleration, he is currently working on machine learning algorithms and their embedded implementation for AI at the edge. For further information visit his website: vittoriomazzia.com.

Awards and Honors

"UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture" has been selected as an “Editor’s Choice Article”. (2021)
Best paper award on Agri-Robotics at the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems. (2021)
Best presentation award for the 5th SmartData@Polito Workshop (2021)

Teaching

Teachings

Master of Science

Electronic systems for mechatronics. A.A. 2019/20, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
Electronic systems for mechatronics. A.A. 2020/21, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
Challenge. A.A. 2018/19, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
Challenge@PoliTo by Students - Artificial Intelligence: Shape the future. A.A. 2020/21, DATA SCIENCE AND ENGINEERING. Collaboratore del corso

MostraNascondi A.A. passati

Publications

Works published during the Ph.D. View all publications in Porto@Iris

Angarano, Simone; Salvetti, Francesco; Mazzia, Vittorio; Fantin, Giovanni; Gandini, ... (2022)
Ultra-Low-Power Range Error Mitigation for Ultra-Wideband Precise Localization. In: Proceedings of the 2022 Computing Conference, London (UK), July 14-15, 2022, pp. 814-824. ISSN 2367-3370. ISBN: 978-3-031-10463-3
Contributo in Atti di Convegno (Proceeding)
Mazzia, Vittorio; Angarano, Simone; Salvetti, Francesco; Angelini, Federico; Chiaberge, ... (2022)
Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition. In: PATTERN RECOGNITION, vol. 124. ISSN 0031-3203
Contributo su Rivista
Mazzia, Vittorio (2022)
Machine Learning Algorithms and their Embedded Implementation for Service Robotics Applications. relatore: CHIABERGE, MARCELLO; CASU, MARIO ROBERTO; , 34. XXXIV Ciclo, P.: 232
Doctoral Thesis
Mazzia, Vittorio; Salvetti, Francesco; Aghi, Diego; Chiaberge, Marcello (2021)
DeepWay: A Deep Learning waypoint estimator for global path generation. In: COMPUTERS AND ELECTRONICS IN AGRICULTURE, vol. 184. ISSN 0168-1699
Contributo su Rivista
Chiaberge, Marcello; Fantin, Giovanni; Salvetti, Francesco; Mazzia, Vittorio; Sutera, ... (2021)
Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-Wideband. In: International Conference on Agents and Artificial Intelligence (2021), Vienna, 4 - 6 /02/2021, pp. 38-47. ISBN: 978-989-758-484-8
Contributo in Atti di Convegno (Proceeding)
Mazzia, Vittorio; Salvetti, Francesco; Chiaberge, Marcello (2021)
Efficient-CapsNet: capsule network with self-attention routing. In: SCIENTIFIC REPORTS, vol. 11. ISSN 2045-2322
Contributo su Rivista
Angarano, Simone; Mazzia, Vittorio; Salvetti, Francesco; Fantin, Giovanni; Chiaberge, ... (2021)
Robust ultra-wideband range error mitigation with deep learning at the edge. In: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, vol. 102, pp. 104278-104286. ISSN 0952-1976
Contributo su Rivista
Martini, Mauro; Mazzia, Vittorio; Khaliq, Aleem; Chiaberge, Marcello (2021)
Domain-Adversarial Training of Self-Attention-Based Networks for Land Cover Classification Using Multi-Temporal Sentinel-2 Satellite Imagery. In: REMOTE SENSING, vol. 13. ISSN 2072-4292
Contributo su Rivista
Cerrato, Simone; Aghi, Diego; Mazzia, Vittorio; Salvetti, Francesco; Chiaberge, Marcello (2021)
An Adaptive Row Crops Path Generator with Deep Learning Synergy. In: Asia-Pacific Conference on Intelligent Robot Systems (ACIRS), Tokyo, Japan, 16-18 July 2021, pp. 6-12. ISBN: 978-1-6654-4069-1
Contributo in Atti di Convegno (Proceeding)
Martini, Mauro; Mazzia, Vittorio; Angarano, Simone; Gandini, Dario; Chiaberge, Marcello (2021)
Local Planners with Deep Reinforcement Learning for Indoor Autonomous Navigation. In: 2021 I-RIM Conference, Roma (Italy), 08/10/2021, pp. 157-160. ISBN: 9788894580525
Contributo in Atti di Convegno (Proceeding)
Aghi, Diego; Cerrato, Simone; Mazzia, Vittorio; Chiaberge, Marcello (2021)
Deep Semantic Segmentation at the Edge for Autonomous Navigation in Vineyard Rows. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, 27 Sept.-1 Oct. 2021, pp. 3421-3428. ISBN: 978-1-6654-1714-3
Contributo in Atti di Convegno (Proceeding)
Aghi, Diego; Mazzia, Vittorio; Chiaberge, Marcello (2020)
Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D Camera-Based Algorithm and Deep Learning Synergy. In: MACHINES, vol. 8. ISSN 2075-1702
Contributo su Rivista
Salvetti, Francesco; Mazzia, Vittorio; Khaliq, Aleem; Chiaberge, Marcello (2020)
Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks. In: REMOTE SENSING, vol. 12. ISSN 2072-4292
Contributo su Rivista
Mazzia, Vittorio; Daneshgaran, Fred; Mondin, Marina (2020)
Use of Deep Learning for Automatic Detection of Cracks in Tunnels. In: Progresses in Artificial Intelligence and Neural Systems / S.N., S.L., Springer, pp. 91-101. ISBN: 978-981-15-5092-8
Contributo in Volume
Mazzia, Vittorio; Comba, Lorenzo; Khaliq, Aleem; Chiaberge, Marcello; Gay, Paolo (2020)
UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture. In: SENSORS, vol. 20. ISSN 1424-8220
Contributo su Rivista
Mazzia, Vittorio; Khaliq, Aleem; Salvetti, Francesco; Chiaberge, Marcello (2020)
Real-Time Apple Detection System using Embedded Systems with Hardware Accelerators: an Edge AI Application. In: IEEE ACCESS, vol. 8, pp. 9102-9114. ISSN 2169-3536
Contributo su Rivista
Aghi, Diego; Mazzia, Vittorio; Chiaberge, Marcello (2020)
Autonomous Navigation in Vineyards with Deep Learning at the Edge. In: 29th International Conference on Robotics in Alpe-Adria Danube Region, Poitiers, France, June 2020, pp. 479-486. ISSN 2211-0984. ISBN: 978-3-030-48988-5
Contributo in Atti di Convegno (Proceeding)
Boschi, Anna; Salvetti, Francesco; Mazzia, Vittorio; Chiaberge, Marcello (2020)
A Cost-Effective Person-Following System for Assistive Unmanned Vehicles with Deep Learning at the Edge. In: MACHINES, vol. 8, pp. 49-67. ISSN 2075-1702
Contributo su Rivista
Mazzia, Vittorio; Tartaglia, Angelo; Chiaberge, Marcello; Gandini, Dario (2019)
Deep Learning Algorithms for Complex Pattern Recognition in Ultrasonic Sensors Arrays. In: Machine Learning, Optimization, and Data Science / S.N., S.L., Springer, pp. 24-35. ISBN: 978-3-030-37598-0
Contributo in Volume

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Vittorio Mazzia

Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 34th cycle (2018-2021)

Dissertation:

Tutors:

Research presentation: