Giada Lops is a Ph.D. student in Electrical and Information Engineering at Politecnico di Bari and a member of the Control Engineering and Computer Science Laboratory (C3Lab). Her research focuses on control strategies for medical systems, particularly reinforcement learning and model predictive control for insulin therapy. She holds both Bachelor's and Master's degrees in Medical Systems Engineering from Politecnico di Bari, graduating with honors. Her Master's thesis focused on reinforcement learning for optimizing bolus insulin delivery.
Research topics
Reinforcement Learning and Model Predictive Control for Insulin Therapy
Publications
2026
Giada Lops, Francesco De Paola, Vito Andrea Racanelli, Gioacchino Manfredi, Luca De Cicco, Saverio Mascolo Data-Driven Control of Type 2 Diabetes Progression via Personalized Physical Activity IFAC World Congress, Busan, South Korea, August 2026
Giada Lops, Taha Ramdan, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo Bridging Clinical Knowledge and Reinforcement Learning in Automated Insulin Delivery: An LLM-in-the-Loop Approach European Control Conference (ECC), Reykjavík, Iceland, July 2026
Federico Baldisseri, Giada Lops, Mohab Mahdy Helmy Atanasious, Danilo Menegatti, Valentina Becchetti, Francesco Delli Priscoli, Saverio Mascolo, Vito Andrea Racanelli, Andrea Wrona Safe Deep Reinforcement Learning Control of Type 1 Diabetes European Control Conference (ECC), Reykjavík, Iceland, July 2026
2025
Giada Lops, Gioacchino Manfredi, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo Safe Learning-based Automated Insulin Delivery for Personalized Type 1 Diabetes Treatment Special Session SMCs-DAY: Data-Driven Control for Human-Machine Systems, Automatica.it 2025, Perugia and Assisi, Italy, Sept. 2025
Federico Baldisseri, Mohab M. H. Atanasious, Valentina Becchetti, Antonio Di Paola, Giada Lops, Danilo Menegatti, Andrea Wrona, Saverio Mascolo, Francesco Delli Priscoli A Quantitative Comparison of Deep Reinforcement Learning Algorithms for Type 1 Diabetes Control 11th International Conference on Control, Decision and Information Technologies (CoDIT), Split, Croatia, July 2025 (PDF)
Giada Lops,Vito Andrea Racanelli, Gioacchino Manfredi, Luca De Cicco, Saverio Mascolo A Safety Aware Deep Reinforcement Learning Technique for Automated Insulin Delivery 33rd Mediterranean Conference on Control and Automation, Tangier, Morocco, June 2025 (PDF)
Giada Lops,Vito Andrea Racanelli, Gioacchino Manfredi, Luca De Cicco, Saverio Mascolo A Deep Deterministic Policy Gradient control algorithm for Automatic Insulin Delivery 1st IFAC Workshop on Engineering Diabetes Technologies (EDT 2025), Valencia, Spain, May 2025 (PDF)
