INESC TEC
INESC TEC
INESC TEC
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BLOCKCHAINPT

INESC TEC

About Project

Acronym

BLOCKCHAINPT

Responsible

Luís Miguel Moreira Guardão

Status

active

Start

January 1, 2023

End

January 31, 2025

Effective End

--

Global Budget

€72,925,189.58

Financing

€575,919.78

Members

Team Leaders
Luís Miguel Moreira Guardão

I’m a Senior Researcher and Project Manager at INESC TEC. I started my work at this institution back in 1992 as a software developer and systems & database administrator. Soon, in 1995, I embraced the project manager role and have since then led a large number of projects in multiple domains (Operations Management, Internal Logistics, Automation, Knowledge Management, Systems Architecture &  Integration, Planning & Scheduling, Benchmarking & Business Intelligence) and industries (Shoe, textile, metal tooling, Civil Construction, Chemical, Architecture, Government, Universities).

I hold a Degree in Electronics and Telecommunications by the University of Aveiro and postgraduates degrees in Management (by EGP-UP) and Medical Informatics (by the Faculty of Medicine and Faculty of Sciences of UP).   

My current main research area of interest at INESC TEC is Integrated Planning & Scheduling in the context of Industry 4.0.

António Alberto dos Santos Pinto

António Pinto has a PhD in Electrical and Computers Engineering from Porto University (2010). Currently, he is an Assistant Professor at Escola Superior de Tecnologia e Gestão (ESTG) of the Polytechnic of Porto, where he gives courses in computer networks, operating systems, network security and digital forensics. He is also a researcher of CRACS at INESC TEC research institute. His current research interests include information security management systems, computer and network security, digital forensics, and data privacy. António Pinto has published 15+ papers and participated in 5+ research projects, including the following European projects: Smart UNattended airborne sensor Network for detection of vessels used for cross border crime and irregular entrY (SUNNY), Media Ecosystem Deployment Through Ubiquitous Content-Aware Network Environments (IST ALICANTE), and End-to-End QoS through Integrated Management of Content, Networks and Terminals (ENTHRONE)

 

Filipe Baptista Neves dos Santos

Filipe Neves dos Santos was born in São Paio de Oleiros, Portugal, in 1979. He olds a Licenciatura (5-year degree) in Electrical and Computer Engineering in 2003 from Instituto Superior de Engenharia do Porto (ISEP), a M.Sc. in Electrical and Computer Engineering from the Instituto Superior Técnico (IST) da Universidade Técnica de Lisboa, in 2007, and received the PhD degree in Electrical and Computer Engineering at the Faculdade de Engenharia (FEUP), Universidade do Porto, Portugal, in 2014. His professional passion is to develop autonomous robots and machinery to solve real problems, desires and needs of our society and to contribute for self-sustainability and fairness of the global economy. Actually, He is focused in developing and researching robotic solutions for agriculture and forestry sector, where is required a higher efficiency for our world self-sustainability. Considering his closer regional reality, he have setup the goal to promote agricultural robotic based projects and develop robots that can operate fully autonomously and safely in steep-slope scenarios, which is a common reality of North of Portugal and in other large number of world regions. As so, he is interested in explore and develop robots for specific agricultural and forestall tasks such as: monitoring (by ground), spraying, logistics, pruning, and selective harvesting. The successfully execution of these task is largely dependent on the robustness of specific robotic systems, such as: - Visual Perception; - Navigation (localization, mapping and path planning); and - Manipulation and end tools. For that reason Visual Perception and Navigation are his main research fields inside of robotics research. His formation in Electronics and Computer Engineer (Bachelor (old-one of 5 years) MSc (sensor fusion), PhD (semantic mapping) ), experience of 4 years as entrepreneur (technological startup), 8 year as robotics researcher, 5 years as manager (in supporting tasks in a family enterprise), and 6 year as electronics technician will help him to successfully contribute for the agricultural and forestall robotics future.

Associated Centres

Advanced Computing Systems

The Centre for Advanced Computing Systems (CRACS) strives for scientific excellence in the areas of programming languages, parallel and distributed computing, information mining, security and privacy, focusing on developing scalable software systems for multidisciplinary applications in Engineering, Life Sciences, Social Networks, the Internet of Things, and more. We explore deep theoretical and practical knowledge related to the design and development of programming languages and middleware for advanced computing systems - including parallel, distributed, high-performance, cloud, wireless, and IoT systems -, while mastering the concepts and methodologies that underpin trust, privacy, and security in computing systems. Our research environment brings together talented junior and senior researchers, most of whom are university lecturers. Together, they form the critical mass and scientific expertise required to fulfil our mission.

Advanced Computing Systems

Robotics in Industry and Intelligent Systems

At the Centre for Robotics and Intelligent Systems, we develop innovative solutions to leverage robotics in the industrial, agricultural, and forestry contexts, driving the digital transformation of the industry. We take a practical approach - from design to deployment - to test the navigation and localisation of mobile robots, explore advances in 2D/3D industrial vision and advanced detection, while also focusing on industrial and collaborative robotics, as well as human-robot interfaces. Our TRIBE LAB is fertile ground for innovative ideas about the agriculture of the future; we develop prototypes and promote excellence in agricultural robotics and IoT technology: with prototypes, advanced sensors (LiDAR, AI cameras), and rapid prototyping tools, we accelerate the development of solutions for the agroforestry sector. We are also present at the iiLab, where we combine applied research, technological demonstration, and controlled environment testing, promoting the integration of emerging technologies into industry. From intelligent robotic cells and cyber-physical systems to data analysis and AI, it is an innovation space where companies can experiment with and validate solutions for the factory of the future. With a multidisciplinary team, and following European agendas, our research work combines fundamental science and application, impacting the design of solutions for Industry 4.0, fostering competitiveness and the digital transformation of the sector.

Robotics in Industry and Intelligent Systems