جست‌وجوی استاد و پژوهشگر

• Complex Systems
• Computational Modeling
• Network Science
• +۷ مورد دیگر

Jorge Louçã is a Full Professor in the Department of Information Science and Technology at ISCTE-IUL, where he has been a faculty member since 2000. He is also an Integrated Researcher at ISTAR-Iscte, the Research Center in Information Sciences, Technologies and Architecture, and leads the research group The Observatorium . He holds a PhD in Computer Science and Artificial Intelligence from Université Paris Dauphine and the University of Lisbon, and completed his Aggregation in Complexity Sciences in 2019. PhD in Computing – University of Lisbon & Université Paris-Dauphine (2000) Master’s in Informatique: Intelligent Systems – Université Paris-Dauphine (1995) Aggregation in Complexity Sciences – ISCTE-IUL (2019) His research centers on computational modeling of social systems, focusing on data-intensive analysis of human communication, knowledge generation in large networks, and the dynamics of complex systems. He founded the Doctoral Program in Complexity Sciences and has been instrumental in advancing the field through international collaborations such as the UNESCO Unitwin network for the Complex Systems Digital Campus and participation in the Conference on Complex Systems (CCS/ECCS). The recent publications highlight a strong interdisciplinary focus, combining network science, data analysis, and social theory. Key themes include the modeling of malaria transmission, information diffusion in social media, structural inequality in education, and the dynamics of opinion and popularity. His work often employs agent-based models, temporal network analysis, and entropy-based measures, reflecting a deep integration of computational and theoretical approaches. Research Methods for Doctorate in Complexity Sciences Advanced Topics in Complexity Sciences Data Science Fundamentals Development for the Internet and Mobile Applications Web Interfaces for Data Management Advanced Network Analysis Jorge Louçã has supervised over a dozen doctoral and master’s students, with completed theses on topics such as malaria modeling, information diffusion, temporal networks, and social inequality. His research has been supported by projects like NESS (Non-Equilibrium Social Science in ICT and Economics), reflecting his leadership in interdisciplinary science. He has held significant academic management roles, including Director of the Department of Information Science and Technology and head of multiple degree programs. His work continues to bridge computer science, social science, and policy, positioning him as a key figure in the global complexity science community.

• Ambient Intelligence
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

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.

• Process Science
• Process Mining
• Software Development Process Mining
• +۷ مورد دیگر

João Caldeira is an Associate Researcher at ISTAR-Iscte (Research Center in Information Sciences, Technologies and Architecture), where he focuses on Process Science , Process Mining , and Software Development Analytics . He holds a PhD in Information Science and Technology from ISCTE - University Institute of Lisbon, a Master's in Computer Engineering from Universidade Nova de Lisboa, and a Bachelor's in the same field from the same institution. João is a Visiting Assistant Professor at ISCTE, teaching process modeling and software development topics, and a Professor at IPAM/Univ. Europeia, where he lectures on Blockchain and Digital Payments. Research Interests : João's work bridges Big Data , Machine Learning , and Process Mining to enhance software development practices. His research includes Augmented Business Process Management and Software Systems Engineering , with a focus on extracting process insights from refactoring and team efficiency. Publications & Projects : João has contributed to journals like Computer Standards and Interfaces and Archives of Computational Methods in Engineering . His project DataScience4NP explores visual programming paradigms for non-programmers in Data Science, proposing parameterized workflow templates for increased reuse. Academic Roles & Mentorship : He has guided multiple Master's dissertations at ISCTE, including topics like BPM with adaptive SLA and Process Mining for vaccine distribution . João serves as an official reviewer for journals such as Journal of Systems and Software and IEEE Access .

• Ambient Intelligence
• Decision Support Systems
• Intelligent Systems
• +۵ مورد دیگر

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.

• Business Intelligence
• Big Data Analytics
• Data Warehousing
• +۳ مورد دیگر

Maribel Yasmina Campos Alves Santos serves as a Full Professor in Information Systems in Organisations and Society at the Department of Information Systems, School of Engineering, University of Minho, Portugal. She is a Senior Researcher at the ALGORITMI Research Centre and the CCG/ZGDV ICT Innovation Institute, where she leads the data engineering and analytics group. Previously, she led the Software-based Information Systems Engineering and Management Group (2017-2022) and currently coordinates the 'Organisational and Analytical Data-intensive Systems' research track since 2009. Her research focuses on Business Intelligence and Analytics, with particular emphasis on Big Data Analytics including data architectures, processing, analysis, and visualization. She contributes to international classifications through the Association for Information Systems (AIS) Topics in Decision Support and Analytics, Geographic Information Systems, and Big Data Application Processes, as well as IFIP Technical Committee on Information Systems. Dr. Santos has held significant administrative roles including Vice-Dean of the School of Engineering (2019-2022), Dean of the Pedagogical Council (2019-2022), and Associate Director of the Department of Information Systems (2010-2014). Since February 2024, she has served as Director of the Doctoral Program in Information Systems and Technologies. She was actively involved with AGILE as Secretary-General (2013-2015) and remains a member of the Association of Information Systems (AIS). Her recent publication portfolio demonstrates strong focus on emerging technologies, with 15 most recent works spanning large language models for conceptual modeling, storytelling dashboards for Industry 4.0, data mesh adoption, and model-to-model transformations. These publications reveal consistent themes in data architecture innovation, visualization techniques, and the integration of AI in information systems. Associate Editor, Business & Information Systems Engineering Journal (Q1, since January 2022) Scientific/Program/Organizing Committee member for over 140 international conferences Co-inventor of two patents (one national, one international) Dr. Santos has supervised 7 PhDs, 60 MSc, and 2 post-doc students, and currently mentors 4 PhD students, 4 MSc students, and 1 post-doc. She has supervised over 45 research grants and participated in more than 30 funded research projects. Her leadership extends to coordinating the Doctoral Program in Information Systems and Technologies and contributing to European research initiatives including a Marie Skłodowska-Curie Actions Joint Doctorate Program in Geoinformatics.

• Business Intelligence
• Data Warehousing
• OLAP
• +۷ مورد دیگر

Orlando Manuel Oliveira Belo is an Associate Professor with Habilitation at the School of Engineering, University of Minho, Portugal, where he has been a member of the Department of Informatics since 1986. He is also a Senior Researcher at the ALGORITMI R&D Centre, and a member of both the CST R&D Group and ISLab R&D Lab. His academic career spans over three decades, with significant contributions to the fields of Business Intelligence, Data Warehousing, and Data Mining. His educational background includes: 5-year degree in Systems and Informatics Engineering (1986) "Provas de Aptidão Pedagógica e Capacidade Científica" (MSc equivalent) in Expert Systems (1991) Ph.D. in Multi-Agent Systems (1998) Habilitation (2013) Professor Belo's research primarily focuses on Business Intelligence and related areas including Data Warehousing Systems, OLAP, Dashboarding, and Data Mining. His work has significant practical applications in fraud detection and control in telecommunication systems, data quality evaluation, and ETL systems for industrial data warehousing. In recent years, his research has expanded into Ontology Learning and Sentiment Analysis, with applications in healthcare analytics, particularly in cardiovascular health monitoring and dermatology. His interdisciplinary approach bridges computer science with practical business and healthcare applications, demonstrating the versatility of data analytics across different domains. His recent publications (2023-2025) show a clear trend toward integrating advanced machine learning techniques with domain-specific knowledge, particularly in healthcare applications. He has published extensively on sentiment analysis, ontologies, and data warehousing, with a growing emphasis on medical applications including atopic dermatitis and cardiovascular health. His work demonstrates a progression from foundational data warehousing and ETL research to more specialized applications in precision medicine and well-being analytics, reflecting the evolving landscape of data science applications. Professor Belo has an impressive publication record with 181 publications, including 26 in Q1/Q2 journals, and has accumulated 468 citations, resulting in an h-index of 11. His editorial contributions further demonstrate his standing in the academic community. As a dedicated researcher and educator, Professor Belo has been instrumental in developing computational platforms for specific applications and has contributed significantly to the advancement of Business Intelligence methodologies. His work with the ALGORITMI R&D Centre has fostered numerous collaborative projects and has positioned him as a key figure in data analytics research at the University of Minho. His laboratory affiliations include the CST R&D Group and ISLab R&D Lab, where he continues to lead research initiatives in Business Intelligence, Data Mining, and their applications across various domains including healthcare, telecommunications, and business analytics.

Rui Henriquesمشاهده پروفایل

استادیار

• Data Mining
• Machine Learning
• Bioinformatics
• +۴ مورد دیگر

Rui Henriques is an Assistant Professor at the Department of Electrical and Computer Engineering (DEI), Instituto Superior Técnico (IST), University of Lisbon. He is also an Associate Researcher at INESC-ID. His research focuses on data mining, machine learning, bioinformatics, and urban analytics, with applications in healthcare, transportation systems, and pattern recognition. He has advised numerous PhD and MSc students, contributing to impactful projects in areas like healthcare decision support, mobility optimization, and environmental data analysis. Education: PhD in Learning from High-Dimensional Data (2016) from IST, University of Lisbon. Research interests include developing algorithms for high-dimensional data analysis, integrating spatiotemporal data for urban planning, and applying machine learning to biomedical challenges. Notable contributions include tools like BicPAMS for biological data analysis and software frameworks for transportation analytics. His work spans over 100 publications in top journals and conferences, addressing topics from triclustering algorithms to fraud detection in online tests. He leads or contributes to projects such as ILU (city mobility optimization) and Data2Help (emergency medical services optimization). His research emphasizes interdisciplinary approaches, combining data science with real-world applications in health, transport, and sustainability.

• Artificial Intelligence
• Multi-agent Systems
• Decision Support Systems
• +۳ مورد دیگر

Luís Manuel da Silva Conceição is an Assistant Professor at the Polytechnic Institute of Porto's School of Engineering, affiliated with the Department of Computer Engineering. He concurrently serves as a Researcher at GECAD (Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development), an FCT-rated Excellent research unit. His academic credentials include a PhD in Computer Science (2023) from the University of Minho, a Master's (2017) and Bachelor's (2014) in Computer Engineering from ISEP. Conceição's research focuses on Artificial Intelligence with specialization in multi-agent systems, decision support systems, and natural language processing. His applied research spans Industry 4.0 and Healthcare domains, including AI solutions for vascular disease management and e-commerce innovation. He coordinates the international REMO project and has participated in Horizon Europe, H2020, ITEA, FCT, and P2020 projects as PI/co-PI. His recent publications demonstrate strong trends in health informatics (remote patient monitoring, federated learning, digital mental health) and decision support systems (argumentation dialogues, sentiment analysis, distributed consensus). Industrial applications feature prominently, especially in predictive maintenance and human-computer interaction for e-commerce. Awards: ITEA Award of Excellence Innovation (2024) for research impact in health technology Conceição actively supervises graduate researchers: currently mentoring 9 master's students , 4 undergraduate students , and co-supervising 2 PhD candidates . His industry collaborations involve applying AI to real-world challenges through joint R&D projects with technology centers. At GECAD, he contributes to intelligent systems research infrastructure and promotes ethical AI through public lectures and roundtables.

Paulo Jorge Azevedoمشاهده پروفایل

مدرس

• Machine Learning
• Data Mining
• Bioinformatics
• +۸ مورد دیگر

Paulo Jorge Azevedo is a Lecturer at the Department of Informatics, University of Minho, and a Senior Researcher at HASLab/INESC TEC. His research focuses on machine learning, data mining, and bioinformatics, with contributions to explainable AI, subgroup mining, and social network analysis. Education: PhD in Computing from Imperial College (University of London), specializing in logic programming and association rule mining. Research Interests: Machine learning methodologies and their interpretability Data mining techniques for pattern discovery Bioinformatics applications in protein dynamics Social network analytics and graph mining Key Research Contributions: Development of Error Distribution Rules (EDRs) for regression model analysis, dynamic influence analysis frameworks for micro-blogs, and sequence mining for software test generation. Advising & Supervision: Supervised 4 theses including work on explainable regression models, deep learning formalization, and fraud detection systems. Active in guiding students on both technical and theoretical aspects of machine learning and data engineering. Labs & Teams: Member of HASLab/INESC TEC, collaborating on interdisciplinary projects combining AI with bioinformatics and software engineering challenges.

João Pascoal Fariaمشاهده پروفایل

دانشیار

• Software Engineering
• Model-Based Testing
• Software Process Improvement
• +۵ مورد دیگر

João Pascoal Faria is an Associate Professor at the Department of Informatics Engineering, Faculty of Engineering of the University of Porto. He holds a PhD in Electrical and Computer Engineering and serves as Director of the Integrated Master in Informatics and Computing Engineering (MIEIC). He is a researcher at INESC TEC, coordinating the Software Engineering area, and represents FEUP and INESC TEC in national and international technical commissions for health informatics and software quality. Education: PhD in Electrical and Computer Engineering (1999), University of Porto His research focuses on model-based testing , software process improvement , and model-driven development . He explores the use of Large Language Models (LLMs) for automated test generation in REST APIs and formal verification tools like Dafny. His work emphasizes practical applications, including IDE integration and market-driven tools like SAGA, a rapid application development platform based on domain-specific languages. João has supervised multiple theses in areas such as IoT systems, sign language recognition, and low-code development. He has over 25 years of experience in education and industry collaboration, co-founding companies like Qualisoft and Strongstep. His contributions span formal verification, test automation, and software quality assurance.

Carlos Coutinhoمشاهده پروفایل

استادیار

• Cloud Computing
• Systems Engineering
• Adaptive Platforms
• +۹ مورد دیگر

Carlos Coutinho is an Assistant Professor at Iscte-IUL, affiliated with the Department of Information Science and Technology (ISTA) and the ISTAR-IUL Research Center. He also serves as Director of Research & Development at Caixa Mágica Software, SA, in Lisbon, Portugal. His academic roles include leading the Cloud Computing research area and coordinating the Scientific Committee at ISTAR-IUL. PhD in Electrical and Computer Engineering, Universidade Nova de Lisboa (2013) Postgraduate in Project Management, Instituto Superior Bissaya-Barreto (2010) Bachelor’s in Electrical Engineering, Polytechnic Institute of Lisbon (1997) Bachelor’s in Telecommunications and Electronics, Polytechnic Institute of Lisbon (1994) His research focuses on emerging technologies such as Cloud Computing, Adaptive Platforms, IoT, Blockchain, and Enterprise Interoperability. He has led and contributed to major European projects including ATHENA, TIMBUS, vf-OS, EFPF, and ESA initiatives like Galileo and SCOS-2000. His work bridges academic innovation and industrial application, particularly in smart cities, cybersecurity, and sustainable logistics. The recent publications and prototypes reflect a strong trend in intelligent systems for healthcare, energy optimization, logistics, and urban management. These works leverage AI, IoT, and cloud technologies to solve real-world problems, particularly in public and enterprise sectors. He has served on the scientific committees of multiple journals and conferences, including IEEE-TEMS, Serbian Information Society, and ASME. He has also been an examiner in four PhD and thirteen MSc defenses, demonstrating his active role in academic mentorship. Carlos Coutinho advises a large cohort of graduate students, with 14 currently in progress (1 PhD, 13 Master’s) and 27 completed Master’s theses. His guidance spans topics in IoT, blockchain, AI, cybersecurity, and software engineering. He has secured and coordinated research projects such as RESETTING and IoT for Smart Cities, focusing on digital transformation in tourism and urban environments. He also leads academic programs, currently serving as Director of the Bachelor's Degree in Computer Science and Business Management. He leads the IoT Laboratory at ISTAR-IUL, where applied research projects in smart health, smart cities, and smart buildings are developed. His team works on prototypes like ElderFall (elderly monitoring), ValidateCourier (logistics validation), and AI Care (remote diagnostics), demonstrating a hands-on, innovation-driven research environment.

• Software Engineering
• Software Quality
• Code Smells
• +۷ مورد دیگر

José Pereira dos Reis is an Assistant Professor in the Department of Information Science and Technology at ISCTE - University Institute of Lisbon, where he contributes to both teaching and research. He is also an Associate Researcher at ISTAR-Iscte, a research center focused on Information Sciences, Technologies, and Architecture. His work bridges software engineering with data science and human-centric development practices. His educational background includes a PhD in Information Science and Technology (2022), a Master’s in Computer Engineering (2008), and dual Bachelor’s degrees in Electrical Engineering and Electronic and Telecommunications Engineering from ISEL (1991, 1994). PhD in Information Science and Technology, ISCTE-University Institute of Lisbon, 2022 Master’s in Computer Engineering, FCT-UNL, 2008 Bachelor’s in Electrical Engineering - Systems and Communications, ISEL, 1994 Bachelor’s in Electronic and Telecommunications Engineering - Digital Systems, ISEL, 1991 His research interests center on Software Engineering , with a focus on Software Quality , Code Smells , and their detection through Machine Learning and collective intelligence . He explores Scientific Workflow Management Systems as tools for enabling non-programmers in data science, advocating for visual programming and parameterized templates to improve accessibility and reuse. His work also extends into Process Mining and Software Development Analytics , analyzing team efficiency and refactoring practices. The recent publications reflect a strong trend in empirical and systematic studies on code quality, visualization, and workflow systems. He frequently collaborates with researchers like F. Brito e Abreu and G. Figueiredo Carneiro, contributing to high-impact journals such as Archives of Computational Methods in Engineering and Empirical Software Engineering . His work combines technical rigor with human-centered design principles. He has been involved in research projects including: DataScience4NP : Exploring visual programming to enable non-programmers in data science using scientific workflow systems. SUSTENTURIS : Focused on sustainability and authenticity in tourism, developing tools for certification and marketing sustainable tourism products. José Pereira dos Reis supervises Master’s students, currently guiding two dissertations on Deteção de Code Smells and IDE Plugin for Metrics Collection from Java Code . He teaches courses such as Software Engineering , Software Architecture and Design , Algorithm Design and Analysis , and Object-Oriented Programming across undergraduate and graduate programs in Computer Engineering and related fields. He is affiliated with research platforms including Scopus, ORCID, Google Scholar, and ScienceVitae, and his work is widely cited across academic databases.

• Visual Analytics
• Big Data
• Software Engineering
• +۷ مورد دیگر

Adriano Lopes is an Invited Assistant Professor at Iscte - Instituto Universitário de Lisboa, affiliated with the Department of Information Science and Technology within the School of Technologies and Architecture. He is also an Associate Researcher at ISTAR-IUL, the university's research center in Information Sciences, Technologies, and Architecture. His academic work spans software systems engineering, visual analytics, and big data technologies. PhD in Computer Science – University of Leeds, UK (1999) Master’s in Computer Science – University of Coimbra (1993) Bachelor’s in Electrical Engineering (Computer Science branch) – University of Coimbra (1986) Postgraduate studies in Financial Analysis – Technical University of Lisbon, ISEG (2013) Adriano Lopes’ research focuses on visual analytics, big data, software engineering, and computer graphics, with a strong emphasis on data visualization and its applications in domains such as smart tourism and urban planning. His work integrates human-centric design with advanced computational techniques to support decision-making in complex systems. His recent publications highlight a shift toward applied research in digital transformation for sustainable tourism, particularly through spatiotemporal visualization of tourism crowding and carrying capacity modeling. These works demonstrate a consistent trend in leveraging data-driven platforms for real-world societal challenges, especially in the context of post-pandemic recovery and sustainable development. Adriano has supervised numerous Master’s students at both Iscte and Universidade Nova de Lisboa, with thesis topics covering sentiment analysis, GPU-based rendering, anomaly detection, and tourism flow forecasting. He has participated in EU-funded research projects such as RESETTING, which aims to relaunch sustainable tourism models through digitalization. His academic service includes organizing roles in major visualization conferences like EUROVIS 2006 and the Eurographics UK Conference. He has been actively involved in research labs and teams including ISTAR-IUL and CITI (research center at FCT/UNL), contributing to interdisciplinary projects that bridge computer science with architecture, telecommunications, and tourism. His work reflects a strong commitment to collaborative, applied research with societal impact.

Patrícia Oliveira-Silvaمشاهده پروفایل

استادیار

• Cognitive Neuroscience
• Affective Neuroscience
• Neurophysiology
• +۳ مورد دیگر

Patrícia Oliveira-Silva is an Assistant Professor at the Faculty of Education and Psychology , Catholic University of Portugal, and a researcher at the Research Centre for Human Development (CEDH) . She directs the Human Neurobehavioral Laboratory (HNL) , fostering interdisciplinary research in cognitive and affective neuroscience.

• Broadband technologies
• Multiservice networks
• Mobile networks
• +۴ مورد دیگر

Paulo Manuel Martins Carvalho serves as Associate Professor in Computer Communications at the Department of Informatics, School of Engineering, University of Minho, Portugal. He is also a Senior Researcher at the Algoritmi research center, actively contributing to both the Computer Communications and Pervasive Media (CCPM) R&D Group and the CCN R&D Lab. Carvalho earned his Systems and Informatics Engineering degree from the University of Minho in 1991 and completed his PhD in Computer Science at the University of Kent at Canterbury in 1997. His academic journey reflects a deep commitment to network technologies and communications engineering, with continuous scholarly contributions since the early 2000s. Associate Professor, Department of Informatics, School of Engineering, University of Minho Senior Researcher, Algoritmi Research Center Member, Computer Communications and Pervasive Media (CCPM) R&D Group Member, CCN R&D Lab Scientific Coordinator, Doctoral Programme in Computer Science (MAP-i) Carvalho's research expertise spans broadband technologies, multiservice networks, mobile networks, and teletraffic analysis. His scholarly output demonstrates remarkable evolution from fundamental network theory to practical implementations in wireless sensor networks, IoT, and network monitoring systems. He has made significant methodological contributions to traffic sampling techniques and network security frameworks while maintaining relevance to contemporary technological challenges. His publication record includes 111 papers with 404 citations and an h-index of 10. Recent work (2020-2024) reveals a strategic shift toward interdisciplinary applications connecting computer science with civil engineering (pavement monitoring), environmental science (water quality assessment), and aerospace manufacturing. This diversification reflects both theoretical depth and practical problem-solving across multiple domains without compromising technical rigor. TPC Member for major international networking conferences Regular reviewer for IEEE/ACM journals Coordinator for Doctoral Programme in Computer Science (MAP-i) Contributor to Master's programs in Informatics Engineering and Networks Engineering Carvalho's laboratory work centers on the CCPM R&D Group and CCN R&D Lab at Algoritmi Research Center, where he leads research initiatives focused on network communications, pervasive media technologies, and their real-world applications. His team has developed innovative approaches to network measurement, traffic analysis, and quality of service management that have influenced both academic research and practical implementations in various industries.