Tiago Madeira
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Tiago Madeira Email & Phone Number

Computer Vision Engineer at JTA: The Data Scientists
Location: Portugal 4 work roles 2 schools
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Current company
Role
Computer Vision Engineer
Location
Portugal
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Who is Tiago Madeira? Overview

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Tiago Madeira is listed as Computer Vision Engineer at JTA: The Data Scientists, a with 68 employees, based in Portugal. AeroLeads shows a matched LinkedIn profile for Tiago Madeira.

Tiago Madeira previously worked as Research Fellow at Ieeta and Pre Doctoral Fellow at Ieeta. Tiago Madeira holds Doctor Of Philosophy - Phd, Computer Engineering from Universidade De Aveiro.

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JTA: The Data Scientists

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Profile bio

About Tiago Madeira

⦿ Received the MSc in Computer and Telematics Engineering from the University of Aveiro in 2019.⦿ Since then, I have worked as a researcher with the Institute of Electronics and Informatics Engineering of Aveiro (IEETA).⦿ I am currently a Computer Engineering PhD student (thesis submitted) and Research Fellow, working in Computer Vision.⦿ My research interests include 3D Reconstruction, Machine Learning, Virtual and Augmented reality, Visual Quality Assessment, Human-Computer Interaction and Parallel Computing.

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JTA: The Data Scientists
Jta: The Data Scientists
Computer Vision Engineer
Portugal
Employees
68
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4 roles

Tiago Madeira work experience

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Research Fellow

ILLIANCE project in collaboration with Bosch. The ILLIANCE Agenda tackles the critical challenge of achieving carbon neutrality in the building sector, which currently accounts for approximately 40% of global CO2 emissions. By focusing on the pillars of health, comfort, and sustainability, the agenda drives the development and industrialization of innovative technologies to create "healthy, comfortable, and sustainable buildings." My role involves developing methods to generate detailed 3D models that can be used for various applications, such as navigation guidance, emergency management, building maintenance and renovation planning, and indoor location-based services (e.g., way-finding and contextualized content delivery). These methods have been applied to a factory floor, enabling navigation, way-finding, and the visualization of different machines' metrics, contributing to improved efficiency and functionality in industrial environments.

Pre Doctoral Fellow

PhD grant by FCT: Foundation for Science and Technology. The main objective of this work was to advance the state of the art in 3D reconstruction by producing geometrically accurate and visually realistic 3D models, even in challenging environments. This involves minimizing geometric errors, enhancing texture quality, and reducing artefacts such as noise and distortion. The main goals of this research can be summarized as follows: - The study and characterization of existing methods of 3D reconstructions, particularly those leveraging optimization techniques of different components. Based on a literature review, structure the associated knowledge to identify current approaches, hardware, mathematical models, and evaluation methodologies, recognizing new application areas. - The proposal of a novel RGB-D reconstruction method, integrating various techniques within an optimization framework to produce 3D reconstructions that meet defined standards. The selection of parameters and techniques, along with their evaluation, informed by the literature review.

Oct 2020 - Sep 2024

Research Fellow

Smart Green Homes project in collaboration with Bosch. This project focused on developing innovative solutions to enhance comfort in domestic environments while promoting sustainability and reducing environmental impact. The scope included connectivity, renewable energy, energy efficiency, recycling, and smart materials to create cutting-edge solutions for both indoor and outdoor living spaces. My contribution specifically involved exploring new ways for users to interact with consumer products and streamline maintenance processes. By leveraging augmented reality, I developed tools for intuitive product interactions and facilitated remote collaboration, making maintenance more accessible and user-friendly while enhancing overall efficiency.

Nov 2019 - Sep 2020
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Colleagues at JTA: The Data Scientists

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2 education records

Tiago Madeira education

Doctor Of Philosophy - Phd, Computer Engineering

Focussing on 3D Reconstruction through Computer Vision and Machine Learning.

FAQ

Frequently asked questions about Tiago Madeira

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What company does Tiago Madeira work for?

Tiago Madeira works for JTA: The Data Scientists.

What is Tiago Madeira's role at JTA: The Data Scientists?

Tiago Madeira is listed as Computer Vision Engineer at JTA: The Data Scientists.

Where is Tiago Madeira based?

Tiago Madeira is based in Portugal while working with JTA: The Data Scientists.

What companies has Tiago Madeira worked for?

Tiago Madeira has worked for Jta: The Data Scientists and Ieeta.

Who are Tiago Madeira's colleagues at JTA: The Data Scientists?

Tiago Madeira's colleagues at JTA: The Data Scientists include Ana Paula Martins, Beatriz Teixeira, João Ferreira, Juliana Nunes, and Carlos Rocha.

How can I contact Tiago Madeira?

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What schools did Tiago Madeira attend?

Tiago Madeira holds Doctor Of Philosophy - Phd, Computer Engineering from Universidade De Aveiro.

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