Differenze tra le versioni di "Giada Lops"

Revisione 14:50, 5 Mag 2025

	Giada Lops
	Eng, PhD Student

Contacts

C3Lab, Dipartimento di Ingegneria Elettrica e dell'Informazione (DEI), Politecnico di Bari, ITALY

Lab: +39 080 596 3851

Email: g.lops@phd.poliba.it

LinkedIn: https://www.linkedin.com/in/giada-lops-972659246/

OrcID: https://orcid.org/0009-0005-7863-9183

Google Scholar: https://scholar.google.com/citations?user=gJm0UNAAAAAJ

Short CV

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

2025

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

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)

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 : '''LinkedIn''': https://www.linkedin.com/in/giada-lops-972659246/
 : '''OrcID''': https://orcid.org/0009-0005-7863-9183
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+: '''Google Scholar''': https://scholar.google.com/citations?user=gJm0UNAAAAAJ
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