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|rowspan="2"|<absHTML><img src="https://c3lab.poliba.it/images/a/a3/Vito.jpg"  height="100" /></absHTML>
 
|cellpadding="100" width="100%"  align="right" style="color:#337ab7; font-size: 18pt; font-weight: bold;"|Vito Andrea Racanelli
 
|cellpadding="100" width="100%"  align="right" style="color:#337ab7; font-size: 18pt; font-weight: bold;"|Vito Andrea Racanelli
 
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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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|width="85%"  align="right" valign="middle" style="color:yellow; background:#283d78; font-weight:bold;"|Eng, PhD, Researcher
 
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{{Row|
 
{{Row|
 
{{Column|6|{{Panel|icon=bookmark|title=Contacts|body=
 
{{Column|6|{{Panel|icon=bookmark|title=Contacts|body=
 
: C3Lab, Dipartimento di Ingegneria Elettrica e dell'Informazione (DEI), Politecnico di Bari, ITALY
 
: C3Lab, Dipartimento di Ingegneria Elettrica e dell'Informazione (DEI), Politecnico di Bari, ITALY
: Tel: +39 080 596 3851
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: '''Lab''': +39 080 596 3851
: Email: <absHtml><img src="https://services.nexodyne.com/email/customicon/BA3u4uFtGbdt.swNKiZToCQ0voOtSIqT/1uG%2BJXA%3D/000000/ffffff/000000/0/image.png"/></absHtml>
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: '''Email''': vitoandrea.racanelli@poliba.it
: LinkedIn: https://www.linkedin.com/in/varacanelli/
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: '''LinkedIn''': https://www.linkedin.com/in/varacanelli/
 +
: '''OrcID''': https://orcid.org/0000-0002-9507-7398
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: '''Google Scholar''': https://scholar.google.com/citations?user=U5F5raYAAAAJ
 
:
 
:
 
}}}}
 
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{{Column|6|{{Panel|con=user|title=Short CV|body=
 
{{Column|6|{{Panel|con=user|title=Short CV|body=
    Vito Andrea Racanelli graduated cum laude in Control Engineering in October 2021 from the Politecnico di Bari with a thesis entitled "Autonomous Driving Systems: The AGV's case".  
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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.
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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.
 
}}}}
 
}}}}
 
}}
 
}}
  
 
{{Panel|icon=search|title=Research topics|body=
 
{{Panel|icon=search|title=Research topics|body=
* Autonomous navigation systems
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* Model Predictive Control
* Probabilistic mapping algorithms
+
* Safe and Fault-Tolerant Control
* Sensor fusion
+
* Multi-Agent and Autonomous Systems
* Embedded control
+
* Adaptive Video Streaming
* Hybrid Systems
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* Learning-Based Control Systems
* Data-driven MPC
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}}
 
}}
 
{{Panel|icon=graduation-cap|title=Publications|body=
 
{{Panel|icon=graduation-cap|title=Publications|body=
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==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
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</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">
 +
Data-Driven Control of Type 2 Diabetes Progression via Personalized Physical Activity
 +
</paper>
 +
 +
<paper authors="Giada Lops, Taha Ramdan, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo" conference="European Control Conference (ECC)"  place="Reykjavík, Iceland" date="July 2026">
 +
Bridging Clinical Knowledge and Reinforcement Learning in Automated Insulin Delivery: An LLM-in-the-Loop Approach
 +
</paper>
 +
 +
<paper authors="Federico Baldisseri, Giada Lops, Mohab Mahdy Helmy Atanasious, Danilo Menegatti, Valentina Becchetti, Francesco Delli Priscoli, Saverio Mascolo, Vito Andrea Racanelli, Andrea Wrona" conference="European Control Conference (ECC)"  place="Reykjavík, Iceland" date="July 2026">
 +
Safe Deep Reinforcement Learning Control of Type 1 Diabetes
 +
</paper>
 +
 +
==2025==
 +
<paper authors="M.A. Rezaei, G. Manfredi, V. A. Racanelli, L. De Cicco, S. Mascolo" conference="Proc. of 17th Int. Congress on Ultra Modern Telecommunications and Control Systems (ICUMT 2025)"  place="Florence, Italy" date="Nov. 2025" pdf="icumt2025-uav.pdf">
 +
An Online Path Planner for Bandwidth-aware Aerial Camera Networks
 +
</paper>
 +
 +
<paper authors="Giada Lops, Gioacchino Manfredi, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo"  conference="Special Session SMCs-DAY: Data-Driven Control for Human-Machine Systems, Automatica.it 2025" place="Perugia and Assisi, Italy" date="Sept. 2025">
 +
Safe Learning-based Automated Insulin Delivery for Personalized Type 1 Diabetes Treatment
 +
</paper>
 +
 +
<paper authors="Giada Lops, Gioacchino Manfredi, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo"  conference=" Workshop “Empowering Women in Science: Control Strategies to Close the Diversity and Inclusion Gap" place="Bari, Italy" date="June 2025">
 +
POSTER: Safety-Aware Deep-RL for Automated Insulin Delivery: Toward Inclusive Diabetes Care
 +
</paper>
 +
 +
<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" pdf="med2025.pdf">
 +
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" pdf="edt.pdf">
 +
A Deep Deterministic Policy Gradient control algorithm for Automatic Insulin Delivery
 +
</paper>
 +
 +
<paper authors="Vito Andrea Racanelli, Gioacchino Manfredi, Luca De Cicco, Saverio Mascolo" conference="IEEE Consumer Communications & Networking Conference (CCNC)"  place="Las Vegas, NV, USA" date="Jan 2025" pdf="ccnc2025.pdf">
 +
Real-Time MPC for Adaptive Video Streaming
 +
</paper>
 +
 +
===2024===
 +
<paper authors="Gioacchino Manfredi, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo" conference="IEEE Transactions on Control of Network Systems"  date="accepted, to appear" pdf="tcns2024">
 +
Live Streaming Synchronisation Using Event-triggered Consensus Control
 +
</paper>
 +
 +
<paper authors="M.A. Rezaei, G. Manfredi, V. A. Racanelli, S. Mascolo, L. De Cicco" conference="Proc. of  International Conference on
 +
Unmanned Aircraft Systems (ICUAS 2024)" place="Chania, Greece" date="June 2024" pdf="icuas24.pdf">
 +
Decentralized Control of UAV Swarms for Bandwidth-Aware Video Surveillance Using NMPC
 +
</paper>
 +
 +
<paper authors=" Vito Andrea Racanelli,Saverio Mascolo" conference="12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes." place="Ferrara, Italy" date="May 2024" pdf="safeprocess.pdf">
 +
Safe and Fault Tolerant Control of Industrial Differential Drive Vehicles
 +
</paper>
 +
 +
==2023==
 +
 +
<paper authors="Gioacchino Manfredi, Saverio Mascolo, Luca De Cicco and Vito Andrea Racanelli" conference="Proc. of MedComNet 2023" place="Ponza, Italy" date="13-15 June 2023" pdf="medcomnet23.pdf">
 +
LSTM-Based Viewport Prediction for Immersive Video Systems
 +
</paper>
 +
 +
<paper authors="Walter Brescia, Giuseppe Roberto, Vito Andrea Racanelli, Saverio Mascolo, Luca De Cicco" conference="Proc. 31st Mediterranean Conference on Control and Automation (MED2023) " place="Limassol, Cyprus" date="June 26 – 29, 2023" pdf="med23.pdf">
 +
Point2Depth: a GAN-based Contrastive Learning Approach for mmWave Point Clouds to Depth Images Transformation
 +
</paper>
  
 
}}
 
}}

Versione attuale delle 20:34, 3 Mag 2026

Vito Andrea Racanelli
Eng, PhD, Researcher
Contacts
C3Lab, Dipartimento di Ingegneria Elettrica e dell'Informazione (DEI), Politecnico di Bari, ITALY
Lab: +39 080 596 3851
Email: vitoandrea.racanelli@poliba.it
LinkedIn: https://www.linkedin.com/in/varacanelli/
OrcID: https://orcid.org/0000-0002-9507-7398
Google Scholar: https://scholar.google.com/citations?user=U5F5raYAAAAJ
Short CV

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.
Research topics
  • Model Predictive Control
  • Safe and Fault-Tolerant Control
  • Multi-Agent and Autonomous Systems
  • Adaptive Video Streaming
  • Learning-Based Control Systems
Publications

2026

  • Giada Lops, Vito Andrea Racanelli, Luca De Cicco, Saverio 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), Bari, Italy, July 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

  • M.A. Rezaei, G. Manfredi, V. A. Racanelli, L. De Cicco, S. Mascolo
    An Online Path Planner for Bandwidth-aware Aerial Camera Networks
    Proc. of 17th Int. Congress on Ultra Modern Telecommunications and Control Systems (ICUMT 2025), Florence, Italy, Nov. 2025 (PDF)
  • 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
  • Giada Lops, Gioacchino Manfredi, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo
    POSTER: Safety-Aware Deep-RL for Automated Insulin Delivery: Toward Inclusive Diabetes Care
    Workshop “Empowering Women in Science: Control Strategies to Close the Diversity and Inclusion Gap, Bari, Italy, June 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 (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)
  • Vito Andrea Racanelli, Gioacchino Manfredi, Luca De Cicco, Saverio Mascolo
    Real-Time MPC for Adaptive Video Streaming
    IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, Jan 2025 (PDF)

2024

  • Gioacchino Manfredi, Vito Andrea Racanelli, Luca De Cicco, Saverio Mascolo
    Live Streaming Synchronisation Using Event-triggered Consensus Control
    IEEE Transactions on Control of Network Systems, accepted, to appear (PDF)
  • M.A. Rezaei, G. Manfredi, V. A. Racanelli, S. Mascolo, L. De Cicco
    Decentralized Control of UAV Swarms for Bandwidth-Aware Video Surveillance Using NMPC
    Proc. of International Conference on Unmanned Aircraft Systems (ICUAS 2024), Chania, Greece, June 2024 (PDF)
  • Vito Andrea Racanelli,Saverio Mascolo
    Safe and Fault Tolerant Control of Industrial Differential Drive Vehicles
    12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes., Ferrara, Italy, May 2024 (PDF)

2023

  • Gioacchino Manfredi, Saverio Mascolo, Luca De Cicco and Vito Andrea Racanelli
    LSTM-Based Viewport Prediction for Immersive Video Systems
    Proc. of MedComNet 2023, Ponza, Italy, 13-15 June 2023 (PDF)
  • Walter Brescia, Giuseppe Roberto, Vito Andrea Racanelli, Saverio Mascolo, Luca De Cicco
    Point2Depth: a GAN-based Contrastive Learning Approach for mmWave Point Clouds to Depth Images Transformation
    Proc. 31st Mediterranean Conference on Control and Automation (MED2023), Limassol, Cyprus, June 26 – 29, 2023 (PDF)
Vito Andrea Racanelli
Eng, PhD Student
Contacts
C3Lab, Dipartimento di Ingegneria Elettrica e dell'Informazione (DEI), Politecnico di Bari, ITALY
Tel: +39 080 596 3851
Email:
LinkedIn: https://www.linkedin.com/in/varacanelli/
Short CV
Vito Andrea Racanelli graduated cum laude in Control Engineering in October 2021 from the Politecnico di Bari with a thesis entitled "Autonomous Driving Systems: The AGV's case".
Research topics
  • Autonomous navigation systems
  • Probabilistic mapping algorithms
  • Sensor fusion
  • Embedded control
  • Hybrid Systems
  • Data-driven MPC
Publications