جستجوی استاد راهنمای دانشگاهی

John Carlos Ferreiraمشاهده پروفایل

استاد

• Artificial Intelligence
• Internet of Things
• Computer Engineering
• +۳ مورد دیگر

John Carlos Ferreira is a Professor at ISCTE Executive Education and Director of the Master's in Digital Technologies for Business at ISCTE Business School. He holds a PhD in Computer Engineering and Industrial Engineering with specialization in Information Science and Technology. His expertise focuses on Artificial Intelligence and Internet of Things applications. Professional experience includes leadership roles in IT infrastructure, notably as Responsible for networks and IT security at Volkswagen. He currently oversees academic programs bridging digital technologies with business strategies. Affiliations: ISCTE Business School (Department of Digital Technologies), ISCTE Executive Education Educational Background: PhD in Computer Engineering & Industrial Engineering Research interests emphasize AI-driven solutions and IoT integration in organizational contexts. His work addresses cybersecurity challenges in connected systems and digital transformation strategies.

• Information Systems
• Computer Engineering
• Computer Science
• +۲ مورد دیگر

Ruben Pereira is a Professor at ISCTE-IUL (Instituto Universitário de Lisboa). He holds a PhD in Information Systems from Instituto Superior Técnico (IST), where he also earned degrees in Computer Engineering and Computer Science. His academic career focuses on integrating technology with educational practices, particularly within business and information systems contexts. Education: PhD in Information Systems - Instituto Superior Técnico (IST) Graduate degrees in Computer Engineering and Computer Science - Instituto Superior Técnico (IST) Research Interests: His work emphasizes applied research in information systems, technology-driven education models, and computational methodologies in business environments. He actively contributes to advancing interdisciplinary approaches between computer science and organizational systems. Grants & Labs: While specific grants or lab affiliations are not detailed here, his academic background suggests involvement in technology-focused research initiatives. Collaborations may extend to institutions like INDEG-ISCTE or ISCTE Business School projects.

• Social Inequalities
• Social Classes
• Values and Social Representations
• +۱۲ مورد دیگر

José Luís Casanova is an Associate Professor (with Habilitation) in the Department of Sociology at ISCTE-IUL, where he has been a key academic figure since the 1990s. He is affiliated with the School of Sociology and Public Policies and is an Integrated Researcher at CIES-Iscte – Center for Research and Studies in Sociology, focusing on inequalities, work, and social welfare. He has taught in multiple degree programs, including Sociology, Urban Studies, and Social Work, and directed the Master’s Degree in Sociology from 2009 to 2022. His academic qualifications include a PhD, Master’s, and Bachelor’s in Sociology from ISCTE-IUL, with earlier studies in Telecommunications Engineering and Sociology at other institutions. His educational background reflects a strong foundation in both technical and social sciences. His research interests are broad and interdisciplinary, focusing on social inequalities, social classes, values and social representations, civic and political activity, sustainability, territory, public and social policies, and tourism . His work often intersects with urban studies, migration, and environmental sociology, reflecting a commitment to understanding structural and cultural dynamics in contemporary societies. While a full list of publications is not provided, he has authored or co-authored 25 scientific articles, contributed to 23 books, and delivered nearly 100 oral communications at scientific events. His research output spans themes of stratification, policy modeling, urban development, and social exclusion, indicating a consistent focus on applied sociology and social transformation. He has received no explicitly mentioned scientific awards, fellowships, or medals in the provided text. José Luís Casanova has supervised numerous doctoral and postdoctoral researchers. He currently advises 17 PhD students and has successfully guided 8 to completion, in addition to supervising one postdoctoral researcher. His advising spans topics such as computational society, electoral behavior, religion in Europe, tourism in African island states, racial democracy in Brazil, and social inclusion. He has also participated in the evaluation of doctoral theses at multiple universities and served on funding panels at the Foundation for Science and Technology. He is actively involved in research through CIES-Iscte and has collaborated in 59 research projects, coordinating 32. He has also been a member of the coordinating and scientific committees of various research units and doctoral programs. His international collaborations include institutions in Cape Verde, Italy, South Africa, Russia, Spain, and Australia, demonstrating a strong transnational academic presence.

• Sampling
• Robust Statistics
• Data Visualization
• +۱۱ مورد دیگر

Maria do Carmo Botelho is an Assistant Professor and Director of the Department of Social Research Methods at ISCTE – University Institute of Lisbon, where she also contributes as an Integrated Researcher at CIES-Iscte. She holds a PhD in Quantitative Methods and specializes in statistics and data analysis. Her academic leadership extends to coordinating the Specialization Course in Visual Information Communication and supervising numerous PhD and Master’s students. Academic Qualifications: PhD in Quantitative Methods (Statistics and Data Analysis), ISCTE-IUL, 2008 Master’s in Business Sciences, ISCTE-IUL, 1996 Bachelor’s in Agricultural Engineering, Higher Institute of Agronomy – UTL, 1992 Research Interests: Her work centers on sampling, robust statistics, data visualization, employability, well-being, and social inequalities. She integrates methodological rigor with social relevance, particularly in labor markets, urban inclusion, and digital education. Publication Trends: Her supervised research reflects a strong focus on social inequalities, urban development, employment polarization, and data communication. The articles demonstrate interdisciplinary engagement across sociology, economics, education, and data science, with an emphasis on policy-relevant analysis and visual storytelling. Scientific Awards: Advising and Grants: She has guided 7 doctoral students (4 ongoing) and 13 master’s students (11 completed), reflecting her commitment to academic mentorship. She leads and participates in major research projects such as InCities, SYNCLUSIVE, WED PT, PIONEER, DSAEI, and GRADUA, funded by the EU and national agencies, focusing on inclusive cities, labor market inclusion, data science, and educational innovation. Labs and Teams: She is a core member of CIES-Iscte and the Youth Employment Observatory (OEJ), contributing to interdisciplinary teams focused on social policy, inequality, and data-driven research. Her leadership in visual communication initiatives fosters collaboration across design, data science, and social sciences.

• Multimedia Signal Processing
• Image and Video Coding
• Event-Based Imaging
• +۸ مورد دیگر

Catarina Brites is an Assistant Professor in the Department of Information Science and Technology at ISCTE - Instituto Universitário de Lisboa and an Integrated Researcher at the Institute of Telecommunications - IUL, where she contributes to the Multimedia Signal Processing Group (MSP-Lx). She holds a PhD in Electrical and Computer Engineering from Instituto Superior Técnico (IST), University of Lisbon. PhD, Electrical and Computer Engineering, Instituto Superior Técnico (IST), 2011 M.Sc., Electrical and Computer Engineering, Instituto Superior Técnico (IST), 2005 B.Sc., Electrical and Computer Engineering, Instituto Superior Técnico (IST), 2003 Her research focuses on multimedia signal processing , particularly 2D/3D visual data coding , event-based imaging , plenoptic imaging (light fields and point clouds) , machine learning for image coding , and visual quality assessment . She has authored over 70 scientific publications with more than 3,890 citations (Google Scholar) and an h-index of 30. Her recent publications highlight a consistent focus on point cloud quality assessment , event-based vision coding , and deep learning applications in image and video compression . Trends include the development of novel metrics for 3D visual data and the application of neural networks to lossless and efficient coding paradigms. Best Paper Award Finalist at 2021 IEEE International Workshop on Multimedia Signal Processing Best Paper Honorable Mention Award at 2019 IEEE International Conference on Multimedia and Expo Top 8% Reviewer at 2018 IEEE International Conference on Multimedia and Expo Top 10% Paper Award at 2017 IEEE International Workshop on Multimedia Signal Processing Best Reviewer Award at 2012 IEEE Visual Communications and Image Processing Catarina Brites has co-supervised several M.Sc. theses at IST in areas including image/video coding and deep learning-based coding. She has been actively involved in multiple national and European R&D projects, serving as Co-Principal Investigator in the DARING project and Technical Coordinator in the EVASION project. She has also contributed as an Associate Editor for IEEE journals and served on technical and organizing committees for major conferences including IEEE ICIP, ICME, VCIP, and ACIVS. She is a key member of the Multimedia Signal Processing Group (MSP-Lx) at the Institute of Telecommunications, where she leads research in next-generation visual data representation and compression. She is also involved in the Technical Commission CT-120 - Image, Audio and Multimedia Information Coding, contributing to national standardization efforts.

Catarina Ferreira da Silvaمشاهده پروفایل

دانشیار

• Information Systems
• Blockchain and Distributed Ledger Technologies
• Semantic Web
• +۱۱ مورد دیگر

Catarina Ferreira da Silva is an Associate Professor with Habilitation in Information Science and Technology at the Department of Information Science and Technology, School of Technologies and Architecture (ISTA), ISCTE – University Institute of Lisbon. She serves as Director of ISTAR-Iscte, the Research Center for Information Sciences, Technologies, and Architecture, and previously led the Master’s program in Information Systems Management. Her international research affiliations include former roles at the University of Lyon 1 and CNRS-LIRIS in France, and CISUC at the University of Coimbra. PhD in Informatics, University Claude Bernard Lyon 1 (2007) Agregação (Habilitation) in Information Science and Technology, ISCTE (2020) MSc in Informatics – Information Systems, INSA Lyon (2003) Bachelor in Engineering, University of Aveiro (1999) Her research centers on Information Systems , with a focus on blockchain, distributed ledger technologies, semantic web, and interoperability . She explores how ontologies and service-oriented architectures can enable smarter, more connected systems in domains such as smart cities, IoT, and digital twins. Her work bridges technical innovation with real-world applications in sustainability, energy, and public health. Her recent publications reveal a strong trend toward blockchain-enabled digital twins , smart city solutions , and AI-driven urban analytics . She integrates machine learning with semantic technologies to solve challenges in energy management, air quality monitoring, and pandemic modeling. Her work increasingly emphasizes user empowerment and data sovereignty through decentralized architectures. Doctoral and Research Supervision Bonus (French National Council of Universities), 2014–2018 and 2019–2022 Research Quality Prize, University of Lyon 1, 2013 Member, European Blockchain Observatory and Forum (since 2020) Catarina has co-supervised multiple PhD students and leads significant EU-funded research projects, including InCITIES (HORIZON Europe) , BLISS , and VET4APPS , all recognized for innovation and impact. Her work involves extensive collaboration with international teams and institutions. She is a key contributor to the development of ontologies for blockchain applications and semantic interoperability in distributed systems. She leads the Information Systems research group at ISTAR-Iscte and has been a member of the Service-Oriented Computing team at CNRS-LIRIS and the CISUC research center . Her lab activities focus on developing frameworks for cloud-based applications, semantic data integration, and blockchain-based identity and trust systems.

• Business Intelligence & Analytics
• Data Visualization
• Data Warehouse
• +۱۲ مورد دیگر

Elsa Cardoso is an Associate Professor in the Department of Information Science and Technology at the School of Technology and Architecture, ISCTE-University Institute of Lisbon (ISCTE-IUL). She is an integrated researcher at ISTAR-Iscte – Research Center in Information Sciences, Technologies and Architecture, and also affiliated with the Information and Decision Support Systems Group at INESC-ID Lisbon. She serves as Director and Coordinator of the Master's in Integrated Decision Support Systems and co-coordinates the data visualization research area at DAViD Lab-Iscte, a laboratory established in 2025 in collaboration with the Institute for Mobility and Transport (IMT). Additionally, she is a member of the executive committee of the Artificial Intelligence Competence Center for Public Administration (IA>>AP) under the ISCTE CI-CVTT Association. PhD in Information Sciences and Technologies, ISCTE-University Institute of Lisbon, 2011 Master's degree in Computer and Informatics Engineering, University of Lisbon - Higher Technical Institute, 2003 Bachelor's degree in Electrical and Computer Engineering, University of Lisbon - Higher Technical Institute, 1995 Her research focuses on Business Intelligence & Analytics, data visualization, Data Warehousing, and strategic information systems such as the Balanced Scorecard, with applications in Higher Education, Science, and Public Administration. She actively explores the integration of enterprise architecture and business intelligence for strategic decision-making in higher education institutions and contributes to capability maturity models in this domain. Her work also extends to open science, fraud detection in European structural funds, graduate employability platforms, and health data interoperability within the European Health Data Space (EHDS). Elsa Cardoso is currently involved in significant research projects such as xSHARE (Expanding the European EHRxF to share health data within the EHDS) and ISDAPPP (Information Systems and Data Analysis for Public Policy Planning), building on her leadership in completed projects including fraud analysis in Portuguese structural funds, AI-driven incentive management, and the GRADUA project for graduate tracking in Albania. Her work consistently bridges technical innovation with public policy and institutional decision-making. Scientific Awards: EUNIS Doerup E-learning Award 2017 Best Paper Award - 2nd International Workshop on Educational Knowledge Management 2016 She has supervised and advised multiple research projects and has been actively involved in academic management, serving as Director and Coordinator of the Master’s in Integrated Decision Support Systems across multiple terms. She has led numerous national and international research grants, including Horizon Europe and national programs like PRR, POCI, and POAT-funded initiatives. Her leadership extends to organizing scientific events, particularly workshops under the EUNIS BI and EA Special Interest Groups, and she has contributed to public dissemination of science through radio programs on data visualization ethics and best practices. Elsa Cardoso is a member of key research and professional networks: she co-coordinates the data visualization area at DAViD Lab-Iscte, participates in the Artificial Intelligence Competence Center for Public Administration (IA>>AP), and is an active member of the EUNIS Business Intelligence and Enterprise Architecture Special Interest Groups. She is also affiliated with INESC-ID Lisbon’s Information and Decision Support Systems Group, contributing to national and cross-border research collaborations.

• Natural Language Processing
• Artificial Intelligence
• Machine Learning
• +۶ مورد دیگر

Eugénio Ribeiro is an Assistant Professor in the Department of Information Science and Technology (ISTA) at ISCTE – University Institute of Lisbon and a researcher at INESC-ID Lisbon. He holds a PhD, Master’s, and Bachelor’s in Informatics and Computer Engineering from Instituto Superior Técnico, University of Lisbon, completed in 2023, 2012, and 2010, respectively, with his PhD awarded with distinction and honors. PhD in Computer and Informatics Engineering, University of Lisbon - Higher Technical Institute, 2023 Master's degree in Computer and Informatics Engineering, University of Lisbon - Higher Technical Institute, 2012 Bachelor's degree in Computer and Informatics Engineering, University of Lisbon - Higher Technical Institute, 2010 His research focuses on Artificial Intelligence and Machine Learning, with a strong emphasis on Natural Language Processing. Key areas include dialog act recognition, semantic frame induction, text readability, and automated essay scoring, often using deep learning and transformer-based models. His work bridges theoretical advances with practical applications in language technologies. The analysis of his recent publications reveals a sustained focus on NLP tasks in Portuguese and multilingual contexts, particularly leveraging deep learning for dialog understanding, semantic analysis, and educational applications. His work frequently involves character-level modeling, community detection in semantic networks, and ISO-standardized dialog annotation. He has received scientific recognition, including: PROPOR 2024: Best Article Eugénio Ribeiro actively mentors students and contributes to the academic community through organizing scientific events, reviewing for journals and conferences, and participating in knowledge transfer projects. His research is supported by his dual affiliation with ISCTE and INESC-ID, where he collaborates on AI and language technology initiatives. He is involved in research labs and teams such as L2F/INESC-ID, a leading group in language and speech technologies in Portugal, contributing to projects like iRead4Skills, which focuses on language proficiency and readability assessment for Portuguese.

• Empirical Software Engineering
• Software Quality
• Software Metrics
• +۱۲ مورد دیگر

Fernando Brito e Abreu is an Associate Professor at Iscte - Instituto Universitário de Lisboa, where he is affiliated with the Department of Information Science and Technology (ISTA) and serves as an Integrated Researcher at ISTAR-Iscte, the Research Center in Information Sciences, Technologies and Architecture. He leads the Software Systems Engineering (SSE) research group and has held leadership roles such as Director of the Master's in Computer Science and Management and member of the Scientific Council. PhD in Computer and Informatics Engineering, IST/UL (2001) Master’s and Bachelor’s degrees in Electrical and Computer Engineering, IST/UL Bachelor’s in Merchant Navy Radio Officer, Infante D. Henrique Higher Nautical School His research focuses on Empirical Software Engineering , Software Quality , and Digital Transformation in Tourism . He pioneered the QUASAR research group and developed the MOOD metrics and M2DM approach, both influential in academia and industry. His work bridges software engineering with sustainability and tourism innovation. Recent research projects include EUROSTIT (Smart Tourism Observatory), MoniCrowd (crowd monitoring), Atlantic Crossing (transatlantic academic collaboration), and RESETTING (digital recovery of tourism SMEs). These reflect a strong trend toward applying software engineering principles to real-world societal challenges, particularly in sustainable tourism and public safety. Editor, Software Quality Journal (Springer) Former Associate Editor, Software Quality Professional Portuguese Delegate, IFIP TC2 Chairman, QUATIC Series Scientific Steering Committee (2021) President, CS/03 (2000–2007) Fernando has supervised over 30 students, including 10 doctoral candidates. He has coordinated numerous national and international research projects and has been deeply involved in scientific dissemination through conference organization, editorial work, and professional associations. He leads the ISTAR-Iscte team in technology transfer initiatives with public and private sectors, particularly in digital tourism and sustainability. He has organized and coordinated major events such as CENTERIS, ICSOFT, QUATIC, and ICSE co-located workshops. His leadership in events and research groups underscores his central role in the European and Latin American software engineering communities.

Filipa Prudêncioمشاهده پروفایل

استادیار

• Electromagnetics
• Microwave Engineering
• Antennas and Propagation
• +۱۲ مورد دیگر

Filipa Prudêncio is an Assistant Professor in the Department of Information Science and Technology at ISCTE-IUL, University of Lisbon. She is also an Integrated Researcher at the Institute of Telecommunications (IT), where she served as a Senior Researcher from 2020 to 2024. Her research focuses on electromagnetics, wave propagation, metamaterials, and topological photonics. Education: PhD in Electrical and Computer Engineering, Instituto Superior Técnico (IST), University of Lisbon, 2014 Integrated Master’s in Electrical and Computer Engineering, IST, 2009 Bachelor’s in Electrical and Computer Engineering, IST, 2007 Research Interests: Her work spans electromagnetics, microwave engineering, antenna systems, nonreciprocal wave propagation, spacetime crystals, topological photonics, and plasmonics. She investigates novel photonic materials with non-Hermitian and nonlocal responses, aiming to control light in unprecedented ways. A central theme is the use of symmetry-breaking and time-modulation to achieve robust one-way wave transport and optical isolation. Publication Trends: Her recent publications focus on topological chiral gain, synthetic axion responses, homogenization of spacetime crystals, and nonlocal effects in photonic materials. These works contribute to the fundamental understanding of wave-matter interactions in complex media and have implications for next-generation photonic devices. Scientific Awards: ANACOM-URSI Award, 2023 IST Best Doctoral Thesis Award Best Student Paper Award, URSI General Assembly, 2015 Professor Abreu Faro Award for Best PhD Thesis (2013/2014) 3rd place, Student Paper Competition, 7th International Congress on Advanced Electromagnetic Materials, 2013 Advising and Grants: She has supervised 10 master’s and 1 doctoral student. She is a research member in 9 international projects and served as Co-Principal Investigator in one. Her work is supported by international collaborations, including the Simons Collaboration on Extreme Wave Phenomena Based on Symmetries. Labs and Teams: She is affiliated with the Antenna and Propagation Group at the Institute of Telecommunications and conducts research in the RadioFrequency Lab at IT. Her work involves close collaboration with Prof. Mario G. Silveirinha and international partners in topological photonics and metamaterials.

• Computational Design
• Shape Grammars
• Procedural Generation
• +۷ مورد دیگر

Filipe Santos is an Assistant Professor in the Department of Information Science and Technology at ISCTE – Instituto Universitário de Lisboa. He is also an Associate Researcher at ISTAR-IUL, the Research Center in Information Sciences, Technologies, and Architecture, where he contributes to the Digital Living Spaces research group. His work bridges computer science with architectural and urban design through computational methods. PhD in Computing, Faculty of Sciences – UL (1998) Master's in Applied Mathematics, Higher Technical Institute – UTL (1991) Bachelor's in Computing, Faculty of Sciences – UL (1987) His research focuses on computational design, shape grammars, procedural generation, and multi-agent systems. He explores how algorithmic and AI-driven techniques can be applied to architectural and urban design, particularly in mass customization, modular housing, and sustainable urban development. His work often integrates genetic algorithms and formal design languages to automate and enhance creative processes. The recent publications highlight a consistent trend in applying computer science to design automation. Key themes include shape grammars for generative design, genetic algorithms for layout optimization, and digital tools for sustainable and inclusive urban planning. His work spans formal computing, human-computer interaction, and interdisciplinary design, with applications in virtual environments, residential architecture, and urban morphology. Filipe Santos actively supervises graduate students and has held academic leadership roles, including Director of the Master's in Integrated Decision Support Systems and Coordinator of the 2nd Year in Computer Engineering. His teaching includes core courses such as Algorithms and Data Structures and Theory of Computation . While no scientific awards are listed, his research has been published in reputable venues including GECCO, eCAADe, and IEEE conferences. He is part of the Digital Living Spaces research group at ISTAR-IUL, which focuses on innovative computing applications in living environments, particularly through intelligent systems and digital design tools.

• Artificial Intelligence
• Symbolic Artificial Intelligence
• User Experience
• +۱۲ مورد دیگر

Isabel Machado Alexandre is an Assistant Professor in the Department of Information Science and Technology at Iscte – Instituto Universitário de Lisboa, where she also serves as Coordinator of the Information Technology Group and as an Integrated Researcher at the Institute of Telecommunications - IUL. Her academic journey includes a PhD in Computing from the University of Leeds and a Bachelor’s degree in Computer and Informatics Engineering from the Higher Technical Institute - UTL. Her research spans artificial intelligence, user experience, information visualization, and digital inclusion, with a strong focus on ethical AI, dementia care, and educational technologies. She teaches courses such as Symbolic Artificial Intelligence for Data Science, User Experience and Information Visualization, and Knowledge and Reasoning in Artificial Intelligence. Her recent publications and student projects reflect a growing trend in AI-driven educational tools, serious games for social and health challenges, and inclusive digital platforms. These works emphasize human-centered design, ethical considerations, and practical applications in healthcare and education. She has supervised numerous Master's and PhD students, many of whose research focuses on AI applications in cognitive support, gamification, and digital literacy. Her leadership in EU-funded projects like PIONEER, KidLe, and EDEM underscores her commitment to interdisciplinary and socially impactful research. Scientific Awards: No scientific awards explicitly mentioned. She is actively involved in guiding doctoral and master’s research, securing research funding through European projects such as COST Actions and Horizon Europe initiatives. Her work integrates academic rigor with real-world applications in digital inclusion, dementia care, and sustainable urban development. She leads and participates in research labs and teams including the Information Technology Group at ISTA and the Institute of Telecommunications - IUL, fostering collaboration across disciplines and institutions.

• Signal and Image Processing
• Machine Learning
• Artificial Intelligence
• +۷ مورد دیگر

João Pedro Oliveira is an Associate Professor in the Department of Information Science and Technology at ISCTE – Instituto Universitário de Lisboa, where he also coordinates the Pattern and Image Analysis Group. He is an Integrated Researcher at the Institute of Telecommunications – IUL, contributing to cutting-edge research in signal and image processing and machine learning. His academic background includes a PhD and a Bachelor's degree in Electrical and Computer Engineering from the Higher Technical Institute - UTL. His research interests span Signal and Image Processing , Machine Learning , AI in Healthcare , Cultural Heritage Informatics , and Mobile Application Recommendation Systems . His recent publications demonstrate a strong interdisciplinary focus, combining AI with archaeology, healthcare diagnostics, and mobile computing. The analysis of his 15 most recent publications reveals a consistent trend in applying machine learning and computer vision techniques to real-world problems, particularly in cultural heritage digitization, medical imaging, and mobile user modeling. He frequently collaborates with researchers in diverse domains, publishing in high-impact journals such as Engineering Applications of Artificial Intelligence and IEEE Access . While no scientific awards are listed in the provided text, his extensive publication record and leadership in research groups underscore his academic impact. João Pedro Oliveira advises students in computer science and engineering domains, though specific names are not mentioned. He is involved in multiple research projects, particularly those integrating AI with societal applications. He leads and participates in research initiatives related to image analysis, semantic modeling, and mobile systems. His work often involves collaboration with multidisciplinary teams focusing on digital transformation in public and health sectors.

• Optical Fiber Communications
• Optical Communications System Modeling
• Photonics
• +۷ مورد دیگر

João Lopes Rebola is an Associate Professor in the Department of Information Science and Technology (ISTA) at ISCTE – Instituto Universitário de Lisboa. He is also an Integrated Researcher and the Coordinator of the Optical Communications and Photonics Group at the Institute of Telecommunications - IUL. His academic roles integrate teaching, research leadership, and active scientific production in optical communications and photonics. PhD in Electrical and Computer Engineering, University of Lisbon (2004) Bachelor's degree in Electrical and Computer Engineering, Higher Technical Institute - UTL (1999) His research focuses on optical fiber communications and optical system modeling , particularly in multicore fiber systems , intercore crosstalk , and physical layer impairments . His work spans analytical modeling, simulation, and performance evaluation of next-generation optical networks, including C+L+S multi-band systems and SDM-based architectures. His recent publications (2021–2025) show a consistent trend in analyzing intercore crosstalk in weakly-coupled multicore fibers, outage probability modeling, and ROADM architecture impacts on multi-band networks. He frequently employs statistical and stochastic methods, Gaussian noise models, and simulation tools like GNPy for network planning and performance assessment. João Lopes Rebola has not received any explicitly mentioned scientific awards in the provided text. He leads the Optical Communications and Photonics Group, where he conducts research on optical network design, signal integrity, and emerging transmission technologies. While no specific PhD or Master’s students are listed, his collaborative work suggests active supervision and mentorship within his research group.

• Image and Video Processing
• Multimedia Signal Processing
• Light Field Imaging
• +۷ مورد دیگر

Luís Ducla Soares is an Associate Professor in the Department of Information Science and Technology at ISCTE – University Institute of Lisbon, where he has been a faculty member since 2000. He is also an Integrated Senior Researcher and the Coordinator of the Multimedia Signal Processing Group (MSP-Lx) at the Institute of Telecommunications - IUL. His academic appointments reflect a strong integration between teaching, research, and institutional leadership. Education: Bachelor's Degree in Electrical and Computer Engineering, Instituto Superior Técnico (1996) PhD in Electrical and Computer Engineering, Instituto Superior Técnico (2004) Aggregate Degree in Information Sciences and Technologies, ISCTE-IUL (2020) His primary research interests lie in image and video processing , light field imaging , multimedia coding , and biometric recognition systems . He has made significant contributions to scalable and error-resilient coding techniques, particularly within the MPEG standardization framework. His recent work extends into biomedical applications of video processing, such as gait analysis and remote diagnostics. The analysis of his recent publications shows a clear trend toward light field processing and deep learning applications in biometrics . His work combines theoretical signal processing with practical implementations in immersive media and healthcare. The integration of AI in 4D light field segmentation and gait classification highlights his interdisciplinary approach. Scientific Awards: Alcatel – Prof. Carvalho Fernandes Award for best student in Telecommunications and Electronics IBM Scientific Award (2016) for a master's dissertation He has supervised 2 completed PhD theses and 14 master's dissertations, with 3 PhDs and 2 master's theses currently in progress. He has led multiple funded research projects, including national and European initiatives such as LIMESA, LIFESYS, QUIS-CAMPI, and COST actions. His editorial roles include serving as Associate Editor for Signal Processing (Q1 journal) since 2018. He has also played key roles in scientific event organization, including co-chairing the International Workshop on Forensics and Biometrics (IWBF) in 2013. Research Labs and Teams: Multimedia Signal Processing Group (MSP-Lx), Institute of Telecommunications - IUL Coordinator since 2021 Active in developing tools for light field coding, biometrics, and immersive media