INESC TEC
INESC TEC
INESC TEC
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HfPT

INESC TEC

About the Project

Health from Portugal

Acronym

HfPT

Responsible

Artur Rocha

Status

active

Starting Date

January 1, 2021

Ending Date

January 30, 2026

Effective End Date

--

Global Budget

€90,600,634.08

Funding

€4,669,071.72

Website

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Associated Centres

Innovation, Technology and Entrepreneurship

The mission of our Centre for Innovation, Technology and Entrepreneurship (CITE) is to carry out multidisciplinary activities at the intersection of technology, innovation, sustainability, and management, promoting the exploration, implementation, and adoption of responsible and sustainable socio-technical systems. We focus on the areas of Innovation Management, Technology Management, and Technology-Based Entrepreneurship, exploring theories, methods, models, and tools to support the innovation process. Through research and innovation activities—including consultancy and advanced training—we address environmental, social, and economic challenges, contributing to the exploration, implementation, and adoption of innovative solutions. We create impact through research and innovation outcomes, aligning our activities with the Sustainable Development Goals (SDGs). We place high value on collaboration with both national and international partners. We are a member of the Enterprise Europe Network (EEN), where our mission is to support Portuguese companies on their innovation journey by identifying and fostering international partnerships for business or innovation development, while also helping to find the most relevant funding sources. We support the implementation of innovation management systems, integrating technology management with new business models and value chains, and promoting sustainable and responsible practices. We also run open innovation and acceleration programmes, contributing to the development of startups and the strengthening of innovation ecosystems. We work across three core areas: innovation management and the front end of innovation (FEI), technology management and policy, and entrepreneurship and business model innovation.

Innovation, Technology and Entrepreneurship

Biomedical Engineering Research

The impact that science and innovation can have on the prevention, early detection, and support for the diagnosis of various types of diseases is fully explored at our Centre for Biomedical Engineering Research (C-BER). Guided by an interdisciplinary approach that prioritises technology transfer with economic impact—through the creation of new systems, tools, and methods related to disease diagnosis and monitoring, ageing, human rehabilitation, physiotherapy, and functional assessment—our researchers are dedicated to developing advanced technologies positioned at the intersection of engineering, medicine and health, and general well-being. Promoting strategic partnerships with clinical partners, research institutes, and encouraging international cooperation is one of the centre’s key priorities. Its research is structured across three distinct areas: Biomedical Imaging, Bioinstrumentation, and Neuroengineering.

Biomedical Engineering Research

Artificial Intelligence and Decision Support

Our Laboratory of Artificial Intelligence and Decision Support (LIAAD) conducts research in the fields of Artificial Intelligence, Machine Learning, Data Science, and Modelling. These areas are cross-cutting and apply to all sectors of society and the economy. The vast amounts of data being collected, alongside the ubiquity of digitalisation and sensorisation, are increasingly creating opportunities and challenges for automating decision support. The combination of Machine Learning and complex models is transforming the economy, healthcare, justice, industry, science, public administration, and education. This encourages us to invest in diverse technological and scientific approaches and perspectives. Our overarching strategy is to explore the flow and diversification of data, and to invest in research lines that will lead to the development of applied Artificial Intelligence foundations and models that are responsible and human centred.

Artificial Intelligence and Decision Support

Telecommunications and Multimedia

The Centre for Telecommunications and Multimedia (CTM) welcomes close to 200 members, including at least 100 integrated researchers who carry out scientific work in the fields of communications, Artificial Intelligence, and computer science and engineering. The Centre’s activities cover several Research and Development (R&D) domains: Communications and Electronics Radio Frequency Technologies Optoelectronics Microelectronics Wireless Communication Networks Computer Perception Computer Vision applied to Medical Imaging Computer Vision applied to Digital Media Computer Audio applied to Music With multidisciplinary teams that include dozens of PhDs, CTM is strongly committed to both European and national research projects, as well as consultancy projects with industry.

Telecommunications and Multimedia

Applied Photonics

From fundamental science to real-world innovation: at our Centre for Applied Photonics (CAP), we explore optical phenomena as a unique toolbox for innovation in micro- and nanofabrication, optical, physical, and biochemical sensors, and platforms for analogue simulation and quantum computing. Our researchers focus on developing systems capable of operating in contexts where precise and reliable sensing is essential (industry, environment or biomedicine), as well as nonlinear optical devices for building quantum analogue simulations and computing platforms. Our advances in photonic sensing enable their use in extreme environments, e.g., outer space or deep sea. Based on a non-siloed organisation, the solutions we develop through the study of light and photons require multidisciplinarity and close, cooperative work across our various research domains. With our expertise in photonics and electronic systems integration, we explore the potential for technology transfer to the emerging national and international photonics industry.

Applied Photonics

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

Human-Centered Computing and Information Science

The Centre for Human-Centered Computing and Information Science (HumanISE) brings together engineers, scientists, and designers with expertise in Human-Centred Computing (HCC), Computer Science (CS), and Information Science (IS). Interdisciplinarity, one of the Centre’s defining features, fosters the development of software systems, methods, and tools designed to empower individuals and their communities. The excellence and impact of HumanISE’s research, innovation, and consultancy activities allow addressing increasingly complex, volatile, heterogeneous, ambiguous, and uncertain challenges, while ensuring compliance with legal, ethical, and organisational standards and frameworks. Value transfer is achieved through close collaboration with academia and industry partners. HumanISE’s core research areas include Human-Computer Interaction; Computer Graphics and Interactive Digital Media; Information Management and Information Systems; Software Engineering; and Large-Scale and Special-Purpose Computing Systems, Languages, and Tools; as well as Computing for Embedded and Cyber-Physical Systems. HumanISE also explores innovation domains like Earth, Ocean and Space Sciences; Personalised Health Research; Geospatial Information Systems Engineering; and Applied Information Systems and Computing.

Human-Centered Computing and Information Science