cv
Academic CV of Alberto Morato — Research Fellow at the University of Padova, formerly at CNR-IEIIT. Focused on real-time communication networks, TSN, and Industrial IoT.
Basics
| Name | Alberto Morato |
| Label | Researcher |
| alberto.morato[at]cnr[dot]it | |
| Url | https://albymor.github.io |
| Summary | My research is centered on real-time communication networks, with a particular focus on hybrid Wired-Wireless-5G Time-Sensitive Networking (TSN) systems. I specialize in the application of these networks in time-critical distributed measurement systems and the development of measurement techniques to assess their performance. |
Work
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2026.03 - Present Research Fellow
Department of Information Engineering, University of Padova
Project: Real-time communication for embedded control systems in the industrial automation context. Research focused on the study and development of real-time communication architectures and protocols for embedded control systems, aimed at optimizing and ensuring the reliability of networks applied to industrial automation.
- Real-time communication
- Embedded control systems
- Industrial automation
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2024.01 - 2025.12 Researcher (Fixed-term)
CNR-IEIIT, National Research Council of Italy
Project iNEST - Interconnected Nord-Est Innovation Ecosystem, Spoke 5 (PNRR). Research on real-time communication networks, with emphasis on hybrid Wired-Wireless-5G Time-Sensitive Networking (TSN) systems, distributed measurement systems, and performance measurement techniques.
- Time-Sensitive Networking (TSN)
- Wired-Wireless-5G hybrid systems
- Distributed measurement systems
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2022.10 - 2024.01 Post-Doctoral Research Fellow
CNR-IEIIT, National Research Council of Italy
Project BAIS: Deterministic wireless networks for functional safety applications in Industrial IoT. Research on TSN over WiFi for functional safety, ultra-low-power wireless sensors for long-term industrial monitoring, and machine learning techniques for distributed communication and measurement systems.
- Deterministic wireless networks
- Functional safety
- Machine learning for IIoT
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2021.10 - 2022.09 Post-Doctoral Research Fellow
CNR-IEIIT, National Research Council of Italy
Project Bioingsec: Distributed functional safety systems based on wireless networks. Research on TSN over WiFi, ultra-low-power wireless sensors, and machine learning for distributed systems.
- Functional safety over wireless
- Ultra-low-power sensors
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2018.10 - 2021.10 Software Engineer
CMZ Sistemi Elettronici Srl
Industrial IoT and Safety-Critical Real-Time Communication Networks. Proof-of-concept implementation of Fail Safe over EtherCAT (FSoE) on IEEE 802.11 WLAN, OPC UA evaluation for distributed IoT measurement, Profinet interface design for electric drives, embedded software for STM32 and TI real-time processors.
- FSoE over WLAN
- OPC UA
- Profinet
- Embedded systems
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2017.06 - 2018.07 Research Fellow (FSE Grant)
University of Padova / CMZ Sistemi Elettronici Srl
Development of an electric drive with functional safety via fieldbus (FSoE) with SIL3/PLe characteristics according to IEC 61508 and IEC 61800. Activities included functional safety requirements analysis, FMEDA analysis, HW/SW architecture simulation via Simulink, and software quality.
- Functional safety
- IEC 61508
- FMEDA analysis
Education
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2018.01 - 2021.12 Padova, Italy
Ph.D.
University of Padova, Department of Information Engineering
Information Engineering
- Safety strategies and fault detection in networked electric drive systems
- FSoE proof-of-concept over IEEE 802.11 WLAN
- Wireless applicability in Industrial IoT
- Simulation models for functional safety on wireless networks
- Safety Function Response Time estimation frameworks
- Digital-twin for Real-Time industrial network design (ProfiNet)
- OPC UA evaluation for embedded IoT measurement
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2014.01 - 2017.12 Padova, Italy
M.Sc.
University of Padova, Department of Information Engineering
Automation Engineering
- Dynamic systems analysis and identification
- Statistical and numerical signal filtering
- Feedback control (Digital control, State-space, LQ, PID)
- Manipulator and mobile robot control
- Computer vision
- PLC programming
- Mechanical and electrical drive design
Awards
- 2023.01.01
Best Innovative Idea
2023 International PhD School I. Gorini
Precision Recognition and Optimization Technologies for Enhancing Cleaning Efficiency in Solar Energy Systems (PROTECT-Sun).
Certificates
| English C1 | ||
| Open Badge | 2021-01-01 |
Skills
| Real-Time Communication Networks | |
| Time-Sensitive Networking (TSN) | |
| Profinet | |
| EtherCAT | |
| OPC UA | |
| Industrial Ethernet |
| Embedded Systems | |
| STM32 | |
| TI C2000 | |
| Raspberry Pi | |
| PIC Microcontrollers | |
| Atmel AVR |
| Programming | |
| C/C++ (MISRA Compliant) | |
| Python | |
| MATLAB/Simulink | |
| LaTeX |
| Industrial IoT & Safety | |
| Functional Safety (IEC 61508) | |
| FSoE (Fail Safe over EtherCAT) | |
| Wireless Sensor Networks | |
| 5G Industrial Networks |
Languages
| Italian | |
| Native speaker |
| English | |
| C1 |
Interests
| Real-Time Communication Networks | |
| Time-Sensitive Networking (TSN) | |
| Hybrid Wired-Wireless-5G | |
| Industrial Ethernet | |
| Deterministic Networking |
| Industrial IoT | |
| Functional Safety | |
| Distributed Measurement Systems | |
| Digital Twins | |
| Edge Computing |
Projects
- 2024.01 - 2025.12
iNEST - Interconnected Nord-Est Innovation Ecosystem
PNRR-funded project (Spoke 5) focused on new and emerging technologies for human-centric manufacturing and industrial working environments. Research on hybrid Wired-Wireless-5G TSN systems for time-critical distributed measurement and communication.
- TSN
- 5G
- Distributed Measurement
- 2025.01 - Present
Intel University Research Agreement
University Research and Technology Evaluation Agreement between Intel Corporation, CNR-IEIIT, University of Modena and Reggio Emilia, University of Padova, and Politecnico di Torino.
- TSN
- Industrial Communication
- 2023.01 - 2024.12
HODT - Hospice Operator Digital Twin
Regional project funded by Regione Veneto. Study and development of intelligent sensor systems for monitoring and traceability of patients in healthcare facilities, using RFID sensors integrated into clothing.
- RFID
- Digital Twin
- Healthcare IoT