Giada Lops

G. Lops, F. De Paola, V. Racanelli, G. Manfredi, L. De Cicco, and S. Mascolo, "Data-Driven Control of Type 2 Diabetes Progression via Personalized Physical Activity,", IFAC World Congress, 2026.

G. Lops, T. Ramdan, V. Racanelli, L. De Cicco, and S. Mascolo, "Bridging Clinical Knowledge and Reinforcement Learning in Automated Insulin Delivery: An LLM-in-the-Loop Approach,", European Control Conference (ECC), 2026.

G. Lops, V. Racanelli, L. De Cicco, and S. Mascolo, "Risk-Aware Multi-Horizon Glucose Prediction for Type 2 Diabetes Using Temporal Attention and Conformal Prediction,", 12th International Conference on Control, Decision and Information Technologies (CoDIT), 2026.

F. Baldisseri, G. Lops, M. Atanasious, D. Menegatti, V. Becchetti, F. Priscoli, S. Mascolo, V. Racanelli, and A. Wrona, "Safe Deep Reinforcement Learning Control of Type 1 Diabetes,", European Control Conference (ECC), 2026.

F. Baldisseri, M. Atanasious, V. Becchetti, A. Di Paola, G. Lops, D. Menegatti, A. Wrona, S. Mascolo, and F. Priscoli, "A Quantitative Comparison of Deep Reinforcement Learning Algorithms for Type 1 Diabetes Control,", 2025 11th International Conference on Control, Decision and Information Technologies (CoDIT), vol. 1, pp. 1073-1078, 2025.

G. Lops, G. Manfredi, V. Racanelli, L. De Cicco, and S. Mascolo, "A Safety Aware Deep Reinforcement Learning Technique for Automated Insulin Delivery,", 2025 33rd Mediterranean Conference on Control and Automation (MED), pp. 120-125, 2025.

G. Lops, V. Racanelli, G. Manfredi, L. De Cicco, and S. Mascolo, "A Deep Deterministic Policy Gradient control algorithm for Automatic Insulin Delivery,", 1st IFAC Workshop on Engineering Diabetes Technologies EDT 2025, vol. 59, no. 2, pp. 13-18, 2025.

G. Lops, G. Manfredi, V. A. Racanelli, L. De Cicco, and S. Mascolo, "Safety-Aware Deep-RL for Automated Insulin Delivery: Toward Inclusive Diabetes Care,", 2025.