Andre Dionisio Rocha

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Invited Assisted Professor

NOVA University of Lisbon

Portugal

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About

Dr. Andre Dionisio Rocha is an Invited Assistant Professor at Nova University of Lisbon, Portugal. His research focuses on software distribution and collaboration in manufacturing, the application of blockchain technology for agri-food traceability, and advancements in smart manufacturing and digital twin technology. Recent publications include topics on next-generation vision inspection systems, cloud-based architectures, and the integration of artificial intelligence in manufacturing processes.

Recent Grants

Grant: Close

AVANGARD Advanced manufacturing solutions tightly aligned with business needs

Open Date: 2019-10-01

Close Date:

Grant: Close

GO0D MAN - Agent Oriented Zero Defect Multi-Stage Manufacturing

Open Date: 2016-10-01

Close Date: 2019-09-01

Grant: Close

OpenMOS Open dynamic Manufacturing Operating System for Smart Plug-and-Produce Automation Components

Open Date: 2015-10-01

Close Date: 2019-01-01

Grant: Close

PERFORM - Production harmonized Reconfiguration of Flexible Robots and Machinery

Open Date: 2015-10-01

Close Date: 2018-09-01

Grant: Close

PROSECO - Collaborative Environment for Eco-Design of Product-Services and Production Processes Integrating Highly Personalized Innovative Functions

Open Date: 2013-10-01

Close Date: 2017-09-01

Articles (13)

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2025

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2021

Collaborators (5)

Bruno Miguel Lopes e Silva

Head of R&D

PORTUGAL

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Ricardo Peres

Universidade de Aveiro

PORTUGAL

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Joao Pinelo Silva

Head of Data Science, Cloud Infrastructure and Development

PORTUGAL

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Miguel Arvana

Teaching Assistant

Universidade de Aveiro

PORTUGAL

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Jose Barata

Professor Associado

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

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Andre Dionisio Rocha

Research Interests

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About

Recent Grants

Articles (13)

Enhancing Software Distribution and Collaboration in Manufacturing: Developing the IMOS Platform

Next-generation Vision Inspection Systems: a pipeline from 3D model to ReCo file

Cloud-Based Machine Learning Application for Predicting Energy Consumption in Automotive Spot Welding

Cloud-Based Architecture for Production Information Exchange in European Micro-Factory Context

Unveiling LoRa’s Oceanic Reach: Assessing the Coverage of the Azores LoRaWAN Network from an Island

Agri-Food Value Chain Traceability Using Blockchain Technology: Portuguese Hams’ Production Scenario

Enhance the Injection Molding Quality Prediction with Artificial Intelligence to Reach Zero-Defect Manufacturing

Collaborative approaches in sustainable and resilient manufacturing

How to Design Scheduling Solutions for Smart Manufacturing Environments Using RAMI 4.0?

Event-Driven Interoperable Manufacturing Ecosystem for Energy Consumption Monitoring

Application of a Simulation-Based Digital Twin for Predicting Distributed Manufacturing Control System Performance

Smart Manufacturing Scheduling Approaches—Systematic Review and Future Directions

Digital twin-based optimiser for self-organised collaborative cyber-physical production systems

Collaborators (5)

Bruno Miguel Lopes e Silva

Ricardo Peres

Joao Pinelo Silva

Miguel Arvana

Jose Barata

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