ChristopheSoares
Based at University Fernando Pessoa, Porto, and researcher at LIACC — University of Porto. Working on pervasive and ubiquitous computing, IoT, computer vision, applied AI, blockchain and smart spaces for health support.
Profile & Background
I'm Christophe Pinto de Almeida Soares, an Associate Professor at University Fernando Pessoa (since 2023) and a researcher at the Laboratory of Artificial Intelligence and Computer Science (LIACC) at University of Porto (since 2017). I have been a researcher at UFP since 2009 and a member of the Scientific Council of its Faculty of Science and Technology since 2024.
I also serve as the Program Director of the BSc in Computer Engineering at UFP, where I oversee curriculum development and academic quality for our undergraduate program.
I hold a PhD in Information Sciences — Information Systems and Technologies (2010 – 2016) with the thesis “Interference-free Integration of Commercial Off-The-Shelf Components in Pervasive Computing Systems”, an MSc in Computer Engineering — Mobile Computing (2007 – 2009) with the dissertation “LoCoBoard — Quadro interactivo de baixo custo recorrendo a algoritmos de visão por computador”, and a BSc in Computer Engineering (2002–2007), all from University Fernando Pessoa, plus Stanford University courses in Machine Learning and Artificial Intelligence (2010–2011).
My research area is Engineering Sciences and Technologies — Electrical, Electronic and Computer Engineering. To date I have supervised 199 student works, from BSc final projects to PhD theses, and served on 56 examination panels.
Awards & Honors
1st Place — Ciber-rato Competition, University of Aveiro (2011, 2012, 2013)
Recent Highlights
Program Director, BSc in Computer Engineering
Coordinates the Licenciatura em Engenharia Informática at University Fernando Pessoa.
Smart Cars Bootcamp: Artificial Intelligence in Action
Co-coordinated this bootcamp at UFP (July 2026), part of the Ocupação Científica dos Jovens nas Férias programme by Ciência Viva.
Open-source CIÊNCIAVITAE data extraction tool
Author of an open-source application for extracting data from CIÊNCIAVITAE profiles.
View on GitHub
Current Positions
Associate Professor
University Fernando Pessoa, Porto
Since 2023
Program Director
BSc in Computer Engineering, University Fernando Pessoa
Current
Member of the Scientific Council
Faculty of Science and Technology, University Fernando Pessoa
Since 2024
Researcher
LIACC — University of Porto
Since 2017
Researcher
University Fernando Pessoa
Since 2009
Supervision & Examination Panels
Supervised works · 199
- PhD theses
- 4
- MSc dissertations
- 26
- MSc curricular internships
- 20
- BSc final projects
- 142
- CET/CTeSP curricular internships
- 7
Jury member · 56
- PhD examinations
- 4
- MSc examinations
- 12
- BSc examinations
- 40
Professional Path & Education
Academic positions, research fellowships and degrees
Positions
2023 – present
Associate Professor
University Fernando Pessoa
2017 – present
Researcher
LIACC, University of Porto
2009 – present
Researcher
University Fernando Pessoa
2016 – 2023
Assistant Professor
University Fernando Pessoa
2021/09 – 2022/07
Invited Adjunct Professor
ESTGOH, Polytechnic Institute of Coimbra
2018 – 2020
Head of the Development Department
Fundação Fernando Pessoa
2016 – 2017
Invited Adjunct Professor
ESTGA, University of Aveiro
2010/09 – 2014/08
PhD Research Fellow (FCT)
INESC TEC
Education
2010 – 2016
PhD in Information Sciences — Information Systems and Technologies
University Fernando Pessoa
Thesis: Interference-free Integration of Commercial Off-The-Shelf Components in Pervasive Computing Systems
2007 – 2009
MSc in Computer Engineering — Mobile Computing
University Fernando Pessoa
Thesis: LoCoBoard — Quadro interactivo de baixo custo recorrendo a algoritmos de visão por computador
2002 – 2007
BSc (Licenciatura) in Computer Engineering
University Fernando Pessoa
2010 – 2011
Machine Learning (course)
Stanford University
2010 – 2011
Introduction to Artificial Intelligence (course)
Stanford University
ResearchInterests
Pervasive computing, IoT, computer vision, applied AI and blockchain — with a focus on smart spaces and health support systems
Pervasive and Ubiquitous Computing
Seamless integration of computing into everyday environments — context-aware systems and interference-free integration of off-the-shelf components.
Internet of Things
Sensing architectures, edge and fog computing for resource-limited environments, and IoT networks for industrial and environmental monitoring.
Computer Vision
Object and event detection pipelines, medical image analysis and low-cost interactive systems based on computer vision algorithms.
Machine Learning and Applied AI
Deep learning, reinforcement learning and recommender systems applied to real-world problems, from wearables to web applications.
Blockchain
Blockchain applications in higher education, self-sovereign identity, revocation mechanisms and secure electronic voting.
Smart Spaces and Health Support Systems
Intelligent environments and ambient assisted living technologies that support people in living independently and safely.
Current & Past Projects
Collaborative research initiatives funded by national and international agencies
Precision Plastics
Redefining Recycling with Technology
Developing IoT and AI solutions to optimize plastic recycling processes and promote circular economy principles.
EMBRACE
From Vulnerability to Empowerment
Multicomponent program to prevent and compensate age-related decline, combining cognitive training, physical exercise, nutrition, and financial and digital literacy.
ESG4NPO
Strategic Sustainability Integration
Development of an AI-assisted management tool for strategic sustainability integration in non-profit organizations.
Secure Horizons
Transforming Healthcare with Federated Learning
Leveraging federated learning and cloud computing to enhance healthcare data security and collaborative research.
SafeHomeHealthCare
Interference-Free Smart Spaces
PhD research project on safe integration of COTS ubiquitous computing systems in ambient assisted living environments.
Courses & Lectures
Subjects I deliver at University Fernando Pessoa, where I have been since 2009
Hardware and Sensors
Fundamentals of computer hardware and sensor technologies
Operating Systems
Concepts and principles of modern operating systems
Web Development
Server-side web programming and application development
Software Engineering
Methodologies and practices for software development
Operations Research
Mathematical modeling and optimization techniques
Computer Architecture
Computer organization and architecture fundamentals
Programming Laboratory
Hands-on programming practice and algorithms
Web Security
Security principles for web applications
Program Direction
As Program Director of the BSc in Computer Engineering at University Fernando Pessoa, I oversee curriculum development, accreditation, and academic quality — keeping the program aligned with current industry practice and research in computing.
Research Contributions
Selected publications in pervasive computing, IoT, computer vision, applied AI and blockchain
Object and Event Detection Pipeline for Rink Hockey Games
Lopes, J.M., Mota, L.P., Mota, S.M., Torres, J.M., Moreira, R.S., Soares, C., Pereira, I., Gouveia, F.R., Sobral, P.
A computer vision pipeline for automated detection and tracking of objects and events in rink hockey games using deep learning techniques.
An Efficient Edge Computing-Enabled Network for Used Cooking Oil Collection
Gomes, B., Soares, C., Torres, J.M., Karmali, K., Karmali, S., Moreira, R.S., Sobral, P.
IoT architecture for sustainable monitoring and management of used cooking oil collection using edge computing.
Advancements in Glaucoma Diagnosis: The Role of AI in Medical Imaging
Bragança, C.P., Torres, J.M., Macedo, L.O., Soares, C.P.A.
Comprehensive review of artificial intelligence applications in glaucoma diagnosis from medical imaging.
Media Output Score, a New Indicator for Measuring Online Media Coverage
Oliveira, U., Soares, C., Trigo, M.R.
Novel metric for quantifying and analyzing online media coverage effectiveness.
A Reinforcement Learning Based Recommender System Framework for Web Apps
Batista, A., Torres, J.M., Sobral, P., Moreira, R.S., Soares, C., Pereira, I.
A reinforcement learning framework for building recommender systems in web app scenarios such as radio and game aggregators.
Inteligência artificial e diagnóstico do glaucoma
Bragança, C.P., Torres, J.M., Soares, C.P.A.
Analysis of AI techniques for glaucoma diagnosis in Portuguese language context.
Blockchain-Based Electronic Voting: A Secure and Transparent Solution
Pereira, B.M.B., Torres, J.M., Sobral, P.M., Moreira, R.S., Soares, C.P.A., Pereira, I.
Secure electronic voting system leveraging blockchain technology for transparency and integrity.
Analysis of Revocation Mechanisms for Blockchain Applications and a Proposed Model Based in Self-Sovereign Identity
Vidal, F.R., Gouveia, F., Soares, C.
Analysis of revocation mechanisms for blockchain-based applications and a proposed model grounded in self-sovereign identity.
Classification of Table Tennis Strokes in Wearable Device using Deep Learning
Ferreira, N.M., Torres, J.M., Sobral, P., Moreira, R.S., Soares, C.
Deep learning approach for automatic classification of table tennis strokes using data from wearable sensors.
An IoT Sensing System for Managing Industrial FOG-Separators
Moreira, R.S., Soares, C., Torres, J.M., Sobral, P., et al.
IoT-based sensing architecture for real-time monitoring and management of industrial FOG-separator systems.
Mobile System for Personal Support to Psoriatic Patients
Moreira, R.S., Carvalho, P., Catarino, R., et al. (including Soares, C.)
Mobile application providing personalised health support and monitoring for patients with psoriasis.
Home Appliance Recognition Using Edge Intelligence
Torres, J.M., Aguiar, L., Soares, C., Sobral, P., Moreira, R.S.
Edge intelligence solution for non-intrusive load monitoring and automatic recognition of home appliances.
Blockchain Application in Higher Education Diploma Management and Results Analysis
Vidal, F.R., Gouveia, F., Soares, C.
Application of blockchain technology to the management of higher education diplomas, with analysis of results.
Fog Computing in Real Time Resource Limited IoT Environments
Costa, P., Gomes, B., Melo, N., et al. (including Soares, C.)
Fog computing architecture optimised for real-time processing in resource-constrained IoT deployments.
A Power Efficient IoT Edge Computing Solution for Cooking Oil Recycling
Gomes, B., Melo, N., Rodrigues, R., et al. (including Soares, C.)
Energy-efficient IoT edge solution enabling smart monitoring of used cooking oil collection for recycling.
Analysis of Blockchain Technology for Higher Education
Vidal, F., Gouveia, F., Soares, C.
Evaluation of blockchain technology applications and potential benefits for higher education institutions.
Let'sConnect
Interested in collaboration or have questions about my research?
Contact Information
Alternative
soareschristophe@gmail.comInstitution
University Fernando Pessoa, Praça 9 de Abril 349, 4249-004 Porto
Research Center
LIACC, University of Porto