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}}}} | }}}} | ||
{{Column|6|{{Panel|con=user|title=Short CV|body= | {{Column|6|{{Panel|con=user|title=Short CV|body= | ||
| − | Researcher working in the fields of control theory, robotics, and autonomous systems. He is currently a visiting postdoctoral researcher at Carleton University (Canada) and collaborates with the C3Lab at the Polytechnic University of Bari, where he received his master's degree | + | Researcher working in the fields of control theory, robotics, and autonomous systems. He is currently a visiting postdoctoral researcher at Carleton University (Canada) and collaborates with the C3Lab at the Polytechnic University of Bari, where he received his master's degree cum laude in Automation Engineering, followed by his Ph.D. in Industry 4.0 in January 2025. |
His main research interests include Model Predictive Control (MPC), Reinforcement Learning, and data-driven control methods. From an applied perspective, his work focuses on the implementation of automation algorithms on drones (UAVs), mobile robotics platforms, and video streaming systems. | His main research interests include Model Predictive Control (MPC), Reinforcement Learning, and data-driven control methods. From an applied perspective, his work focuses on the implementation of automation algorithms on drones (UAVs), mobile robotics platforms, and video streaming systems. | ||
| Riga 36: | Riga 36: | ||
{{Panel|icon=graduation-cap|title=Publications|body= | {{Panel|icon=graduation-cap|title=Publications|body= | ||
==2026== | ==2026== | ||
| − | <paper authors="Giada Lops, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo" conference=" | + | <paper authors="Giada Lops, Francesco De Paola, Vito Andrea Racanelli, Gioacchino Manfredi, Luca De Cicco, Saverio Mascolo" conference="IFAC World Congress" place="Busan, South Korea" date="August 2026"> |
| − | + | Data-Driven Control of Type 2 Diabetes Progression via Personalized Physical Activity | |
</paper> | </paper> | ||
| − | <paper authors="Giada Lops | + | <paper authors="Giada Lops, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo" conference="12th International Conference on Control, Decision and Information Technologies (CODIT)" place="Bari, Italy" date="July 2026" pdf="codit2026_diabetes.pdf"> |
| − | + | Risk-Aware Multi-Horizon Glucose Prediction for Type 2 Diabetes Using Temporal Attention and Conformal Prediction | |
</paper> | </paper> | ||
| − | <paper authors="Giada Lops, Taha Ramdan, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo" conference="European Control Conference (ECC)" place="Reykjavík, Iceland" date="July 2026"> | + | <paper authors="Giada Lops, Taha Ramdan, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo" conference="European Control Conference (ECC)" place="Reykjavík, Iceland" date="July 2026" pdf="0270.pdf"> |
Bridging Clinical Knowledge and Reinforcement Learning in Automated Insulin Delivery: An LLM-in-the-Loop Approach | Bridging Clinical Knowledge and Reinforcement Learning in Automated Insulin Delivery: An LLM-in-the-Loop Approach | ||
</paper> | </paper> | ||
| − | <paper authors="Federico Baldisseri, Giada Lops, Mohab Mahdy Helmy Atanasious, Danilo Menegatti, Valentina Becchetti, Francesco Delli Priscoli, Saverio Mascolo, Vito Andrea Racanelli, Andrea Wrona" conference="European Control Conference (ECC)" place="Reykjavík, Iceland" date="July 2026"> | + | <paper authors="Federico Baldisseri, Giada Lops, Mohab Mahdy Helmy Atanasious, Danilo Menegatti, Valentina Becchetti, Francesco Delli Priscoli, Saverio Mascolo, Vito Andrea Racanelli, Andrea Wrona" conference="European Control Conference (ECC)" place="Reykjavík, Iceland" date="July 2026" pdf="120.pdf"> |
Safe Deep Reinforcement Learning Control of Type 1 Diabetes | Safe Deep Reinforcement Learning Control of Type 1 Diabetes | ||
</paper> | </paper> | ||
| Riga 63: | Riga 63: | ||
<paper authors="Giada Lops, Gioacchino Manfredi, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo" conference=" Workshop “Empowering Women in Science: Control Strategies to Close the Diversity and Inclusion Gap" place="Bari, Italy" date="June 2025"> | <paper authors="Giada Lops, Gioacchino Manfredi, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo" conference=" Workshop “Empowering Women in Science: Control Strategies to Close the Diversity and Inclusion Gap" place="Bari, Italy" date="June 2025"> | ||
POSTER: Safety-Aware Deep-RL for Automated Insulin Delivery: Toward Inclusive Diabetes Care | POSTER: Safety-Aware Deep-RL for Automated Insulin Delivery: Toward Inclusive Diabetes Care | ||
| + | </paper> | ||
| + | |||
| + | <paper authors="Gioacchino Manfredi, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo" conference="IEEE Transactions on Control of Network Systems" date=" vol. 12, no. 2, pp. 1381-1392, June 2025" pdf="tcns-2024.pdf"> | ||
| + | Live Streaming Synchronisation Using Event-triggered Consensus Control | ||
</paper> | </paper> | ||
| Riga 78: | Riga 82: | ||
===2024=== | ===2024=== | ||
| − | |||
| − | |||
| − | |||
| − | |||
<paper authors="M.A. Rezaei, G. Manfredi, V. A. Racanelli, S. Mascolo, L. De Cicco" conference="Proc. of International Conference on | <paper authors="M.A. Rezaei, G. Manfredi, V. A. Racanelli, S. Mascolo, L. De Cicco" conference="Proc. of International Conference on | ||
Unmanned Aircraft Systems (ICUAS 2024)" place="Chania, Greece" date="June 2024" pdf="icuas24.pdf"> | Unmanned Aircraft Systems (ICUAS 2024)" place="Chania, Greece" date="June 2024" pdf="icuas24.pdf"> | ||
|
Vito Andrea Racanelli |
| Eng, PhD, Researcher |
Researcher working in the fields of control theory, robotics, and autonomous systems. He is currently a visiting postdoctoral researcher at Carleton University (Canada) and collaborates with the C3Lab at the Polytechnic University of Bari, where he received his master's degree cum laude in Automation Engineering, followed by his Ph.D. in Industry 4.0 in January 2025.
His main research interests include Model Predictive Control (MPC), Reinforcement Learning, and data-driven control methods. From an applied perspective, his work focuses on the implementation of automation algorithms on drones (UAVs), mobile robotics platforms, and video streaming systems.
He is a member of ACM, IEEE, and IFAC. Over the course of his academic career, he has authored and co-authored several scientific papers presented at conferences and published in academic journals. His research primarily explores the integration between traditional control engineering techniques and artificial intelligence for industrial applications.|
|
Vito Andrea Racanelli |
| Eng, PhD, Researcher |
Researcher working in the fields of control theory, robotics, and autonomous systems. He is currently a visiting postdoctoral researcher at Carleton University (Canada) and collaborates with the C3Lab at the Polytechnic University of Bari, where he received his master's degree *cum laude* in Automation Engineering, followed by his Ph.D. in Industry 4.0 in January 2025.
His main research interests include Model Predictive Control (MPC), Reinforcement Learning, and data-driven control methods. From an applied perspective, his work focuses on the implementation of automation algorithms on drones (UAVs), mobile robotics platforms, and video streaming systems.
He is a member of ACM, IEEE, and IFAC. Over the course of his academic career, he has authored and co-authored several scientific papers presented at conferences and published in academic journals. His research primarily explores the integration between traditional control engineering techniques and artificial intelligence for industrial applications.