Vito Andrea Racanelli

	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

Researcher working in the fields of control theory, robotics, and autonomous systems. He is currently a visiting postdoctoral researcher at Carleton University (Canada) and collaborates with the C3Lab at the Polytechnic University of Bari, where he received his master's degree cum laude in Automation Engineering, followed by his Ph.D. in Industry 4.0 in January 2025.

His main research interests include Model Predictive Control (MPC), Reinforcement Learning, and data-driven control methods. From an applied perspective, his work focuses on the implementation of automation algorithms on drones (UAVs), mobile robotics platforms, and video streaming systems.

He is a member of ACM, IEEE, and IFAC. Over the course of his academic career, he has authored and co-authored several scientific papers presented at conferences and published in academic journals. His research primarily explores the integration between traditional control engineering techniques and artificial intelligence for industrial applications.

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, 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, 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 (PDF)

• 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 (PDF)

• 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 (PDF)

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

• 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, vol. 12, no. 2, pp. 1381-1392, June 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)

• 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

• 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)