João Miguel Lobo Fernandes is a Full Professor at the Department of Informatics, School of Engineering, University of Minho. He holds a 5-year degree in Informatics Engineering (1991), a Master's in Informatics (1994), and a Ph.D. in Informatics/Computer Engineering (2000) from Universidade do Minho, with a thesis on An object-oriented methodology for embedded systems development . Research interests: Software Modeling, Requirements Engineering, Embedded Software, Software Process, Bibliometrics International collaborations: University of Bristol, Turku Centre for Computer Science (Finland), Aarhus University (Denmark), Universidade Federal de Santa Catarina (Brazil), and others Key projects: iFlow and DIABO logistics platforms (awarded by APLOG) His 160+ peer-reviewed publications focus on software methodologies, embedded systems, and industry collaborations. Recent work includes applications of machine learning in automotive software, feature modeling, and remote work impact studies. He serves on editorial boards for Journal of Information Technology Research and Open Computer Science . 2016 & 2022 Logistics Excellence Awards (APLOG) Organized international events: ACSD, DIPES, GTTSE, PETRI NETS, ICSOB, MOMPES As an academic leader, he directed the 5-year Systems and Informatics Engineering degree (2004-06), Master's in Informatics Engineering (2011-12), and served on Scientific Council of the School of Engineering (2013-16).
Paulo Jorge Freitas de Oliveira Novais is a Full Professor of Computer Science at the Department of Informatics, School of Engineering, Universidade do Minho, where he also holds a Habilitation in Computer Science. He leads the Synthetic Intelligence Lab at ALGORITMI Centre and coordinates the research line on Ambient Intelligence for Well-Being and Health Applications. His research spans Intelligent Systems, Machine Learning, Multi-Agent Systems, and their applications in Smart Cities, Health Informatics, and AI Ethics. PhD in Computer Science, Universidade do Minho, 2003 Habilitation in Computer Science, Universidade do Minho, 2011 Research interests include Ambient Intelligence, Ambient Assisted Living, Intelligent Environments, AI and Law, Conflict Resolution, and Explainable AI. His work focuses on enhancing system intelligence and reliability through novel architectures and ethical frameworks. Recent publications highlight applications in wastewater energy prediction, violence detection, student risk modeling, and urban logistics. Awards include multiple Best Paper and IBM Excellence recognitions across 2015–2023, plus a 2022 Career Recognition Award from the Ibero-American Society of Artificial Intelligence. Senior IEEE Member Chair of IEEE Computational Intelligence Chapter, Portugal IFIP TC 12 Artificial Intelligence Working Group Leadership He has supervised 132 PhD and Master’s students and contributed to editorial boards of journals like JAISE and ComSIS . His leadership roles include coordinating LASI – Intelligent Systems Associate Laboratory and serving as former president of APPIA.
Nuno Ricardo Mateus Coelho is an Associate Professor at Universidade Lusófona and a Guest Adjunct Professor of Cybersecurity at Instituto Politécnico do Cavado e Ave. He serves as a Cyber Security Adviser for FORVIA and Nanium Grupo Amkor, CEO of NRMC.PT, Judicial Expert for the Ministry of Justice, and CISO & DPO for several national organizations. He holds a PhD in Informatics (Cybersecurity) from the University of Trás-os-Montes e Alto Douro and is a Senior Engineer accredited by the Ordem dos Engenheiros and the European Commission. His research focuses on cybersecurity, privacy, secure operating systems, blockchain, AI in security, and digital forensics . He leads the LAPI2S - Laboratory of Privacy and Information Systems Security and is the Editor-in-Chief of the ARIS2-Journal . He is the General Chair of the iSCSi International Conference and has authored numerous scientific publications, books, and book chapters. The recent publications highlight a strong trend in secure system design, threat resilience, AI applications, and privacy-preserving technologies . His work spans from paranoid operating systems and blockchain applications to social engineering defense and AI-driven risk assessment, reflecting a multidisciplinary and applied approach to cybersecurity challenges. Inncyber Innovation Award - Best European Research in Cybersecurity (2021) Inncyber Innovation Award - 2nd Place (2023) Editor-in-Chief of ARIS2-Journal General Chair of iSCSi International Conference Specialist Accredited by the European Commission in Information and Cybersecurity Projects Senior Engineer and Specialist at the Ordem dos Engenheiros Nuno Mateus-Coelho advises on national cybersecurity strategy and has been instrumental in innovation through projects like Vent2Life , which repaired hospital ventilators during the pandemic, saving hundreds of lives. He has received research recognition and industry grants through his cybersecurity advisory roles and academic leadership. His work bridges academia, government, and industry, with strong emphasis on practical impact. He leads the LAPI2S Laboratory and organizes the iSCSi Conference , fostering collaboration between researchers, industry experts, and policymakers in cybersecurity and information systems. His teams focus on developing secure, privacy-aware technologies for real-world deployment in healthcare, education, and critical infrastructure.
Helder Araujo is a Professor at the Department of Electrical and Computer Engineering, University of Coimbra. His research focuses on Robot Vision , Computer Vision , and Medical Imaging , with applications in Capsule Endoscopy , Autonomous Driving , and Sensor Fusion . Recent publications highlight advancements in 3D Object Detection using transformer networks (e.g., RetSeg3D , DDet3D ), Medical Robotics (e.g., Self-supervised monocular pose estimation ), and Federated Learning (e.g., FAIR-FATE ). Key subfields include Transformer Models , Deep Learning , and Autonomous Navigation . His projects span Medical Imaging (e.g., Multi-Cam Capsule Endoscopy ), Autonomous Robotics (e.g., Learning to Navigate Endoscopic Capsule Robots ), and Edge Computing (e.g., Benchmarking CNN Inference on Low-Power Devices ). Grants include funding from Fundação para a Ciência e a Tecnologia (e.g., PTDC/EEI-ROB/1155/2020) and the European Commission (e.g., AdvanCed Hardware/Software Components for Embedded Vision). He has served as an invited researcher at Université Blaise Pascal (2012–2014). Peer review activities cover journals like IEEE Transactions on Pattern Analysis and Machine Intelligence and Autonomous Robots . His work bridges Medical Imaging , Autonomous Systems , and AI Fairness .
Tiago Manuel Ribeiro Gomes is an Assistant Professor at the Department of Industrial Electronics within the School of Engineering at the University of Minho, Portugal. He is also a Senior Researcher at Centro ALGORITMI and a member of both the IE R&D Group and the ESRG R&D Lab. Holding a Ph.D. in Electronics and Computers Engineering, his research focuses on embedded real-time systems, computer architectures, and hardware/software co-design for IoT devices. Academic Degree: Ph.D. in Electronics and Computers Engineering Current Position: Assistant Professor, School of Engineering, University of Minho Gomes has led extensive research in IoT systems over 15 years, particularly in hardware acceleration for automotive LiDAR sensors, secure embedded systems, and efficient OS frameworks for low-end devices. His work includes the EU-funded CROSSCON project and spans hardware-assisted security, dynamic binary translation, and wireless sensor networks. Recent publications highlight his expertise in automotive sensor technology, with articles like FOG-Zip for LiDAR compression, SecureQNN for TinyML security, and Hardware-Assisted Range Image Generation for LiDAR processing. His work bridges IoT, embedded systems, and cybersecurity, focusing on real-time performance and hardware-software co-design. Projects include the development of reliable/secure automotive sensor solutions and EU project CROSSCON. He contributes to open-source frameworks like UTango for IoT security and investigates heterogeneous fault tolerance architectures using Arm/RISC-V processors. Labs: IE R&D Group, ESRG R&D Lab Education: Ph.D. in Electronics and Computers Engineering, Master’s in Telecommunications Engineering (both from University of Minho)
Ricardo J. Machado is a Full Professor of Information Systems Engineering at the University of Minho, where he founded this disciplinary area. He currently serves as President of the CCG/ZGDV Institute and has held strategic roles including Vice-Rector of UMinho. He is a member of the Board of GraphicsVision.AI, the leading academic network in Europe in computer graphics and vision. DEng in Electrical and Computer Engineering (U.Porto) MSc and PhD in Computer Science and Engineering Dr. Habil in Information Systems Engineering (UMinho) Certified Software Product Manager (ISPMA) Cybersecurity and Crisis Management programme from Portuguese National Defence Institute Professor Machado's research focuses on modeling and requirements engineering, systems architecture, process and project management, information semantics, ontologies, and cognitive computing. He has developed several methods and tools including the 4SRS method and the shobi-PN meta-model for requirements analysis, software architecture, ontology computation, and project portfolio management. His work bridges theoretical frameworks with practical industrial applications across various sectors. His recent publications demonstrate a strong trend toward digital transformation across multiple domains including smart cities, healthcare systems, industry 4.0, and higher education. The research shows increasing integration of semantic interoperability, logical architecture design, and data management frameworks. His work consistently addresses the challenges of aligning business processes with technical implementations while focusing on practical applications in real-world settings. IEEE MGA Achievement Award APLOG Excellence Award TAA Textbook Award nomination by Springer Professor Machado has supervised nearly one hundred PhD and MSc students, many of whom now hold leadership roles in academia and industry. He has led over 50 R&I projects funded by FCT, ANI, IAPMEI, and the European Union, partnering with institutions including Carnegie Mellon University, MIT, Fraunhofer, and Bosch. His project portfolio spans requirements engineering, systems architecture, and digital transformation initiatives across multiple sectors including healthcare, manufacturing, and smart cities. He founded the SEMAG research group at ALGORITMI and the EPMQ department on Software Engineering and Intelligent Data at CCG/ZGDV. As Director of the ALGORITMI Research Centre, he coordinated UMinho's participation in strategic initiatives such as CEDT, CMU | Portugal, EIT Digital, EUHubs4Data, and Gaia-X Portugal. He also co-founded DTx and ProChild CoLabs, and TICE.pt and CSCP Clusters.
Ana Maria Neves de Almeida Baptista Figueiredo is a Coordinator Professor and academic leader at the Institute of Engineering of Polytechnic of Porto (ISEP/IPP). She currently serves as President of the ISEP Scientific Council (since 2018), Sub-Director of post-graduation programmes in Big Data & Decision Making and Industry 4.0, and holds numerous leadership roles in accreditation processes including A3ES, EUR-ACE, and ABET. She is a Senior Researcher at GECAD (Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development) and member of LASI (Associated Laboratory of Intelligent Systems). Education: PhD in Industrial and Systems Engineering (2003) from University of Minho MSc in Electronic and Computer Engineering - Specialization in Industrial Informatics (1996) from University of Porto BSc in Industrial Informatics (1993) from Polytechnic Institute of Oporto - Institute of Engineering BSc in Electronic Engineering (1990) from Polytechnic Institute of Oporto - Institute of Engineering Professor Figueiredo specializes in Ambient Intelligence, Decision Support Systems, and Intelligent Systems with applications spanning multiple domains. Her research combines artificial intelligence, big data analytics, and user-centered design to develop innovative solutions. She has particular expertise in creating personalized systems that adapt to user needs and contexts, with strong emphasis on practical applications in real-world settings. Her publication record reveals consistent research activity across three main application domains: tourism technology (personalized recommendation systems, smart travel planning), Industry 4.0 (intelligent manufacturing, production scheduling), and healthcare (respiratory monitoring, medical diagnostics). The research demonstrates a clear trajectory from foundational work in scheduling algorithms to increasingly sophisticated intelligent systems incorporating machine learning, sensor networks, and emotional computing. Awards and Recognition: 2017 Award of merit for scientific publication in TELEMATICA AND INFORMATICS journal 2017 Prémio SPAIC – AstraZeneca for FRASIS respiratory monitoring project 2013 PIPED honorable mention for Android e-learning platform 2012 1st place in POLIEMPREENDE entrepreneurship competition with NearTour project 1995 Best student award in Industrial Informatics Engineering Professor Figueiredo has supervised 3 completed PhD theses with 1 ongoing, and more than thirty MSc dissertations. She has participated as Principal or Co-Principal Investigator in 6 projects and as Researcher in more than 20 projects, securing funding from FCT and other agencies. Her work has been supported by significant grants including TheRoute, GROUPLANNER, Smartravel, ATT, InVALUE, INVALUE_PT, NIS, PIANISM, Cyberfactory, SECOIIA, and produtech_R3. She leads research activities within GECAD and LASI, collaborating with international teams from Spain, Canada, USA, Czech Republic, Turkey, and Italy. Her work bridges academic research with practical applications through partnerships with business organizations, public entities, and professional associations across multiple sectors.
Pedro Henriques is Professor of Computer Science at University of Minho, where he coordinates the Language Processing group at Algoritmi Research Center. With a PhD in Formal Languages and Attribute Grammars, he teaches compiler design and programming language engineering. His research develops: Formal methods for software analysis Educational tools for programming pedagogy Ontology-driven computational thinking frameworks AI applications in agriculture and healthcare Recent work includes neuroeducation-informed frameworks (OntoCnE) and Programming Cocktails methodology for optimizing cognitive load in code instruction. He has supervised 14 PhD dissertations and authored the foundational text "XML & XSL: da teoria a prática". Current EU projects explore VR cognitive rehabilitation and olive cultivar identification using deep learning.
António Casimiro is an Associate Professor at the Department of Informatics of the Faculty of Sciences, University of Lisbon. He holds a PhD in Computer Science (2003) from the same institution. His research focuses on dependable adaptive systems, middleware for distributed real-time applications, and cyber-physical systems. He leads the Cyber-Physical Systems research line at the LASIGE research unit and coordinates EU projects like ADMORPH and VEDLIoT, as well as the national AQUAMON project for water monitoring. Education: PhD in Computer Science, University of Lisbon (2003) Research Interests: Middleware for embedded real-time systems Fault-tolerant distributed systems IoT and environmental monitoring Cybersecurity in autonomous systems Key Projects: KARYON (FP7): Safe cooperative automotive/avionics systems VEDLIoT (H2020): Accelerated AIoT systems AQUAMON: Wireless sensor networks for water monitoring Awards: None explicitly listed, but active in editorial roles like Editor-in-Chief of the Ada User Journal. Teaching & Leadership: Coordinates the Master in Information Security program Former Vice-Director of LASIGE and member of Faculty Scientific Council Labs/Teams: LASIGE research unit, Navigators group, involvement in GULLIVER testbed for vehicular systems.
Ricardo Barradas is an Assistant Professor in the Department of Political Economy at the School of Social Sciences and Humanities, Iscte – University Institute of Lisbon, and an Integrated Researcher at DINÂMIA'CET-Iscte, where he also serves as Subcoordinator of the 'Governance, Economy and Citizenship' research line. His work bridges academic research and policy-relevant analysis in political economy and macroeconomics. PhD in Economics, Iscte – University Institute of Lisbon (2016) Diploma of Advanced Studies in Economics, Iscte (2012) Master’s in Monetary and Financial Economics, Iscte (2009) Bachelor’s in Economics, Iscte (2007) His research centers on political economy , post-Keynesian economics , and financialization , with strong emphasis on income distribution, labor markets, and macroeconomic modeling. He employs econometric techniques to analyze the impacts of financialization on wage shares, productivity, household debt, and inequality. His work challenges mainstream economic assumptions and provides empirical support for heterodox theories. The 15 most recent publications reflect a consistent focus on the macroeconomic and social consequences of financialization , particularly in the European Union and Portugal. Key themes include the decline in labor share , slowdown in productivity , rising household indebtedness , and erosion of labor rights . Methodologically, he specializes in panel data and time series econometrics , publishing in leading journals such as Journal of Post-Keynesian Economics and Review of Political Economy . His scientific recognition includes multiple awards: R&D Award by Dinâmia'CET - Iscte (Dec 2024) R&D Award by ISCTE (Dec 2024, Dec 2023, Dec 2022) Scientific Award by ISCTE (Apr 2021) Ricardo Barradas has been actively involved in research projects on financialization, pension systems, and economic crises, often collaborating with colleagues such as Sérgio Lagoa, João Alcobia, and Emanuel Leão. He has supervised or co-supervised several research works and contributed to policy discussions on pension reform and financial regulation in Portugal. He has not been mentioned as advising specific PhD or Master’s students in the provided text. His work is deeply embedded in the DINÂMIA'CET-Iscte research center, where he contributes to collective research agendas on socioeconomic change and territorial development. He leads and participates in interdisciplinary teams focusing on governance, economic citizenship, and financial systems. His recent book chapters and reports address youth employment, social security perceptions, and pension sustainability, indicating a growing interest in social policy implications of macroeconomic trends.
Ricardo Roberto Duarte Marau is a researcher affiliated with the School of Engineering at Universidade Lusófona, Portugal. His work focuses on real-time distributed and embedded systems, particularly in industrial communication networks and cyber-physical systems. Research Interests: His primary research areas include Real-Time Systems, Distributed Embedded Systems, Quality of Service (QoS) Management, Industrial Communication Networks, Real-Time Scheduling, and Cyber-Physical Systems. He explores techniques for dynamic QoS adaptation, server-based Ethernet switching, and middleware for reconfigurable systems. Education: Licenciatura in Electronics and Telecommunications Engineering PhD in Informatics Engineering Publication Trends: His recent work centers on real-time communication over switched Ethernet, FTT-CAN, OpenFlow extensions, and dynamic reconfiguration in distributed systems. The publications span IEEE Transactions and Springer volumes, emphasizing schedulability analysis, QoS management, and robust real-time protocols. Scientific Awards: No awards listed in the provided text. Advising and Grants: There is no mention of students, advising roles, or grants in the available information. However, his extensive publication record suggests active research engagement and likely participation in funded projects related to real-time and embedded systems. Labs and Teams: While specific lab names are not mentioned, his work on CAMBADA robots and resource contracting frameworks (e.g., FRESCOR) indicates collaboration with research teams focused on distributed sensing, actuation, and real-time middleware development.
Carlos Manuel Ribeiro Almeida is an Assistant Professor at the Department of Electrical and Computer Engineering, Instituto Superior Técnico, Universidade de Lisboa. He has been affiliated with the GEMS (Group of Embedded networked Systems and Heterogeneous Networks) research group since 2009 and the Instituto de Telecomunicações (IT) since 2013. His academic journey includes a BSc (1984), MSc (1989), and PhD (1998) in Electrical and Computer Engineering from IST. He has held visiting positions at Cornell University (1991–1993) and Chorus Systems (1990–1991). Research Interests : Real-Time and Embedded Systems, QoS Adaptability, Fault-Tolerance, Sensor Networks, and Networked Embedded Systems. His work focuses on dynamic environments where systems must adapt to maintain timeliness and dependability. Teaching includes courses on Systems Programming, Real-Time and Embedded Systems, and Networked Embedded Systems. His publications span over 30 years, emphasizing real-time scheduling, fault-tolerant protocols, and embedded system optimization. Notable projects include CANELy (a dependable communication protocol) and VITRAL (a real-time kernel interface). Labs/Teams : GEMS (Taguspark campus) and the Networks and Multimedia group at IT. His work integrates hardware-software co-design for resource-constrained systems.
Isabel Maria Sousa Jesus é uma Professora do Instituto Superior de Engenharia do Porto (ISEP), com uma carreira acadêmica focada em Engenharia Elétrica, Eletrônica e Ciência da Computação. Ela atua como pesquisadora no Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento e no Laboratório Associado de Sistemas Inteligentes. Seus cargos incluem Diretora do Laboratório de Eletromagnetismo desde 2008 e Membro do Conselho Pedagógico do ISEP. Além disso, é pesquisadora em 20 projetos científicos e gerente técnica do consórcio Machine Intelligence Research Labs (MIR Labs).
David Pereira is a Lecturer and Integrated PhD Researcher at the University of Porto, affiliated with CISTER Research Centre (ISEP). He holds a PhD in Computer Science from the MAP-i program (Universities of Minho, Porto, and Aveiro). His research focuses on formal verification techniques using the Coq theorem prover, mechanization of Kleene algebra, and application to real-time systems. He is actively involved in projects like MARS and IBEX, addressing challenges in cyber-physical systems and runtime verification. Education: BSc in Computer Science (2003, University of Porto) MSc in Computer Science (2007, University of Porto, specializing in formal logics for intelligent agents) PhD in Computer Science (MAP-i Program) Research Interests: Mechanized formal verification using Coq Formal methods for real-time and parallel programs IEC 61499 standard semantics and tool development Runtime monitoring in safety-critical systems Programming languages for real-time applications (e.g., Ada) Advising & Grants: Active contributor to projects like MARS (toolset for distributed systems), IBEX (cyber-physical programming), and RTFM-core (certified compilation). Has organized conferences like VERDI 2023 and participated in international events. Labs/Teams: Core member of CISTER Research Centre, involved in tool development (e.g., RTFM-4FUN) and formal verification frameworks.
Jose Alberto Gouveia Fonseca is an Associate Professor at the Instituto de Telecomunicações (IT) in Aveiro, Portugal, affiliated with the Embedded Systems – Av group. He joined IT in 2010 and specializes in Networked Embedded Real-Time Systems. His work integrates networking, industrial communication, and vehicular systems. Educational Background: PhD in Engineering from Universidade de Aveiro (1992) Research Interests: Fonseca focuses on real-time communication protocols for industrial and vehicular applications, including deterministic wireless systems, smart cities, and safety-critical networks. His research emphasizes fault-tolerant designs, bandwidth management, and real-time performance optimization in distributed systems. Article Trends: His recent work addresses vehicular safety (e.g., roadside infrastructure for cooperative ITS), smart parking systems, and 5G-enabled coastal surveillance. Earlier contributions include foundational studies on FTT-CAN protocols and Ethernet real-time adaptations. Grants & Projects: 5G-MOBIX : 5G for cross-border cooperative mobility (EU/H2020, 2018–2023) EV4Energy : Electric vehicles in energy distribution systems (2020–2023) PASMO : Open platform for intelligent transport systems (2017–2020) Labs/Teams: Active in the Embedded Systems group at IT Aveiro, collaborating on projects like the PASMO living lab for cooperative ITS.
