| 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="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"> | <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 | Data-Driven Control of Type 2 Diabetes Progression via Personalized Physical Activity | ||
|
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 |
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.