| (4 versioni intermedie di uno stesso utente non sono mostrate) | |||
| Riga 18: | Riga 18: | ||
}}}} | }}}} | ||
{{Column|6|{{Panel|con=user|title=Short CV|body= | {{Column|6|{{Panel|con=user|title=Short CV|body= | ||
| − | + | Visiting PostDoc researcher at Carleton University (Ottawa, Canada), working at the intersection of control theory, robotics, and autonomous systems. My research spans Model Predictive Control, reinforcement learning, and safe data-driven control for UAVs, mobile robots, and biomedical applications such as automated insulin delivery. | |
| − | + | PhD in Industry 4.0 and M.Sc. in Automation Engineering (cum laude) from Politecnico di Bari, Italy. IEEE and IFAC member. Author of peer-reviewed publications in international journals and conferences including IEEE TCNS, ECC, IFAC World Congress, and IROS. | |
Vito Andrea Racanelli is a member of the Control Engineering and Computer Science Laboratory (C3Lab) at Politecnico di Bari, where he collaborates on projects related to robotics and control theory. | Vito Andrea Racanelli is a member of the Control Engineering and Computer Science Laboratory (C3Lab) at Politecnico di Bari, where he collaborates on projects related to robotics and control theory. | ||
| Riga 28: | Riga 28: | ||
{{Panel|icon=search|title=Research topics|body= | {{Panel|icon=search|title=Research topics|body= | ||
* Model Predictive Control | * Model Predictive Control | ||
| − | * Safe | + | * Safe and Fault-Tolerant Control |
| + | * Multi-Agent and Autonomous Systems | ||
| + | * Adaptive Video Streaming | ||
| + | * Learning-Based Control Systems | ||
| + | |||
}} | }} | ||
{{Panel|icon=graduation-cap|title=Publications|body= | {{Panel|icon=graduation-cap|title=Publications|body= | ||
| + | ==2026== | ||
| + | <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"> | ||
| + | Risk-Aware Multi-Horizon Glucose Prediction for Type 2 Diabetes Using Temporal Attention and Conformal Prediction | ||
| + | </paper> | ||
| + | |||
| + | <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 authors="Giada Lops, Taha Ramdan, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo" conference="European Control Conference (ECC)" place="Reykjavík, Iceland" date="July 2026"> | ||
| + | Bridging Clinical Knowledge and Reinforcement Learning in Automated Insulin Delivery: An LLM-in-the-Loop Approach | ||
| + | </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"> | ||
| + | Safe Deep Reinforcement Learning Control of Type 1 Diabetes | ||
| + | </paper> | ||
| + | |||
==2025== | ==2025== | ||
| + | <paper authors="M.A. Rezaei, G. Manfredi, V. A. Racanelli, L. De Cicco, S. Mascolo" conference="Proc. of 17th Int. Congress on Ultra Modern Telecommunications and Control Systems (ICUMT 2025)" place="Florence, Italy" date="Nov. 2025" pdf="icumt2025-uav.pdf"> | ||
| + | An Online Path Planner for Bandwidth-aware Aerial Camera Networks | ||
| + | </paper> | ||
| + | |||
<paper authors="Giada Lops, Gioacchino Manfredi, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo" conference="Special Session SMCs-DAY: Data-Driven Control for Human-Machine Systems, Automatica.it 2025" place="Perugia and Assisi, Italy" date="Sept. 2025"> | <paper authors="Giada Lops, Gioacchino Manfredi, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo" conference="Special Session SMCs-DAY: Data-Driven Control for Human-Machine Systems, Automatica.it 2025" place="Perugia and Assisi, Italy" date="Sept. 2025"> | ||
Safe Learning-based Automated Insulin Delivery for Personalized Type 1 Diabetes Treatment | Safe Learning-based Automated Insulin Delivery for Personalized Type 1 Diabetes Treatment | ||
|
Vito Andrea Racanelli |
| Eng, PhD, Researcher |
Visiting PostDoc researcher at Carleton University (Ottawa, Canada), working at the intersection of control theory, robotics, and autonomous systems. My research spans Model Predictive Control, reinforcement learning, and safe data-driven control for UAVs, mobile robots, and biomedical applications such as automated insulin delivery.
PhD in Industry 4.0 and M.Sc. in Automation Engineering (cum laude) from Politecnico di Bari, Italy. IEEE and IFAC member. Author of peer-reviewed publications in international journals and conferences including IEEE TCNS, ECC, IFAC World Congress, and IROS.
Vito Andrea Racanelli is a member of the Control Engineering and Computer Science Laboratory (C3Lab) at Politecnico di Bari, where he collaborates on projects related to robotics and control theory.|
|
Vito Andrea Racanelli |
| Eng, PhD, Researcher |
Vito Andrea Racanelli graduated cum laude in Control Engineering from the Politecnico di Bari in October 2021, with a thesis titled "Autonomous Driving Systems: The AGV's Case." In January 2025, he earned his Ph.D. in Control Engineering, focusing on autonomous mobile robots, model predictive control, and networked systems.
His research spans multiple areas, including control strategies for industrial autonomous vehicles, predictive control for adaptive video streaming, and decentralized coordination of UAV swarms. He has presented his work at international conferences such as IFAC SAFEPROCESS, IEEE CCNC, and ICUAS.
Vito Andrea Racanelli is a member of the Control Engineering and Computer Science Laboratory (C3Lab) at Politecnico di Bari, where he collaborates on projects related to robotics and control theory.