Visualizza wikitesto di Giada Lops ← Giada Lops

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|rowspan="2"|<absHTML><img src="https://c3lab.poliba.it/images/a/a3/Giada.jpg"  height="100" /></absHTML>
|cellpadding="100" width="100%"   align="right" style="color:#337ab7; font-size: 18pt; font-weight: bold;"|Giada Lops
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|width="85%"  align="right" valign="middle" style="color:yellow; background:#283d78; font-weight:bold;"|Eng, PhD Student
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{{Column|6|{{Panel|icon=bookmark|title=Contacts|body=
: 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
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{{Column|6|{{Panel|con=user|title=Short CV|body=
    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.
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{{Panel|icon=search|title=Research topics|body=
* Model Predictive Control
* Safe Process
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{{Panel|icon=graduation-cap|title=Publications|body=
==2025==
<paper authors="Giada Lops,Vito Andrea Racanelli, Gioacchino Manfredi, Luca De Cicco, Saverio Mascolo" conference="33rd Mediterranean Conference on Control and Automation"  place="Tangier, Morocco" date="June 2025">
A Safety Aware Deep Reinforcement Learning Technique for Automated Insulin Delivery
</paper> 

<paper authors="Giada Lops,Vito Andrea Racanelli, Gioacchino Manfredi, Luca De Cicco, Saverio Mascolo" conference="1st IFAC Workshop on Engineering Diabetes Technologies (EDT 2025)"  place="Valencia, Spain" date="May 2025">
A Deep Deterministic Policy Gradient control algorithm for Automatic Insulin Delivery
</paper> 

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