Adriana Sá is a Visiting Professor at Noroff University College and a current board member at Lusófona University Lisbon , where she contributes to CICANT (Centre for Research in Applied Communication, Culture and New Technologies). She holds a PhD in Arts and Computing from Goldsmiths, University of London (2016) and a Fine Arts degree in Painting and Sculpture from the University of Lisbon (1996). Transdisciplinary artist, performer-composer-musician Editor-in-Chief of Live Interfaces Journal Board member at Lusófona University Lisbon Her research integrates artistic practice with interaction design , audio-visual theory , and neuroscience , focusing on sensor technologies, audio-visual instruments, and spatial presence. She designs custom instruments (e.g., zither-software hybrids) to explore the interplay of sound, light, and digital 3D environments. Her publications span Leonardo (MIT Press) , Live Interfaces Journal , and Routledge, with recurring themes in audio-visual mapping , interactive performance , and transdisciplinary methodologies . Her work has been showcased globally at venues like the Aomori Contemporary Art Center and Eyebeam . Artistic Residencies: STEIM, Metronom Electronic Arts Studio, Experimental Intermedia Foundation NY Performance Highlights: Favela Real (2023), Sprouts In-Between (2025), and international festivals like Version Beta and Novas Frequências
Pedro Sousa is a Researcher at Universidade Lusófona , focusing on the intersection of machine learning and spectroscopy for applications in food science, biotechnology, and biochemical analysis. His work spans rice quality evaluation, contaminant detection, and antimicrobial compound studies. Research Interests : Sousa's research primarily involves machine learning techniques integrated with infrared spectroscopy to develop rapid screening methods for agricultural and biomedical applications. His projects address challenges in rice quality assessment, mycotoxin detection, and plant-microbe interactions. Publication Trends : Recent articles highlight his expertise in combining NIR/MIR spectroscopy with machine learning for bioactive compound detection, contaminant screening, and rice quality modeling. His work demonstrates a consistent focus on data-driven optimization of biotechnological processes.
Pedro De Almeida Perdigão is an Assistant Professor at the Lusófona University of Humanities and Technologies, School of Communication, Architecture, Arts and Information Technologies. He is currently pursuing a PhD in Computer Engineering at the same institution. He also serves as Director of the Organic Unit at CGI Inc., combining academic and professional expertise in technology and engineering. Education: Bachelor's degree in Communication and Multimedia, Lusófona University of Humanities and Technologies (2011) Master's degree in Computer Engineering and Information Systems, Lusófona University of Humanities and Technologies (2020) Post-bachelor's MBA (Master in Business Administration) PhD in Computer Engineering (in progress since 2024) Participant in the ERASMUS Program His research spans Engineering Sciences and Technologies, with a focus on Electrical, Electronic and Computer Engineering. Key interests include Artificial Intelligence, Cybersecurity, Information Systems Security, and Multimedia. His work bridges technical innovation and practical application in digital learning and business environments. His recent publication explores AI-driven threats in social learning platforms, reflecting a growing concern for security in educational technologies. The work employs a multivocal literature review methodology, indicating strong engagement with both academic and industrial research sources. Scientific Awards: No awards listed in the provided text. He advises no students listed in the text and has no mentioned grants or research funding. There is no information about labs or research teams he leads or participates in.
Daniel Filipe Sobral Fernandes is an Assistant Professor at Lusófona University - Lisbon University Center and a researcher at COPELABS (Association for Research and Development in Cognition and Human-Centered Computing). He holds a PhD in Information Science and Technology from ISCTE - University Institute of Lisbon, along with Master's and Bachelor's degrees in Telecommunications and Computer Engineering from the same institution. He also completed postgraduate studies in Management and Administration in Civil Protection at Lusófona University. Research Interests: His work centers on telecommunications and network optimization, particularly in 5G and beyond. Key areas include cloud-based network planning, self-organizing networks (SON), massive MIMO, SC-FDE modulation systems, and machine learning applications for mobile traffic forecasting and coverage estimation. His research integrates cloud computing with real-world network deployment challenges, focusing on automation and performance efficiency. Publication Trends: His recent publications (2017–2021) show a strong focus on cloud-based implementations for cellular network planning, optimization of 5G and legacy networks (GSM, UMTS), and hybrid methodologies combining empirical measurements with AI-driven models. There is a clear trend toward scalable, automated solutions for radio resource management and coverage prediction. Scientific Awards: Recipient of seven merit awards during his academic career Research and Advising: Daniel participated in the OptiNET-5G research project focused on 5G network planning and optimization. He has co-authored scientific papers with 31 collaborators. While no formal students are listed, his active research and publications suggest involvement in academic mentorship. He has not disclosed grant funding details. Labs and Teams: He is affiliated with COPELABS, a research unit dedicated to cognition and human-centered computing, where he contributes to projects involving intelligent systems and network automation.
Bruno Miguel Pereira Cipriano is a researcher at Universidade Lusófona de Humanidades e Tecnologias, affiliated with the College of Engineering and the Department of Electrical Engineering, Electronics and Informatics. His work centers on advancing programming education through innovative technological solutions. His primary research interests include automatic assessment tools , Large Language Models in education , and object-oriented programming pedagogy . He investigates how AI tools like GPT-3.5, GPT-4, and Bard interact with programming assignments and how their integration can be optimized to support, rather than undermine, student learning. A key focus is countering over-reliance on LLMs through diagram-based and project-oriented exercises. The recent publications highlight a strong trend toward integrating AI with educational software, particularly in automating feedback and assessment. His work bridges project-based and exercise-based evaluation systems, aiming to create scalable, intelligent learning environments. The development of tools like Drop Project and plugins for IntelliJ IDEA demonstrates a practical, tool-oriented research approach. Bruno has contributed to several peer-reviewed journals and conferences, with active research output from 2022 to 2024. He has not listed any formal advisees or received scientific awards in the provided text. His work appears to be primarily independent or team-based within his institution, though specific lab affiliations or collaborative teams are not mentioned.
Maria José De Almeida E Silva is a researcher at Universidade Lusófona, affiliated with the Department of Mathematics within the School of Sciences and Technology. Her work bridges statistical theory and practical applications in water distribution systems, focusing on data-driven modeling, measurement uncertainty, and time series analysis. Education: PhD in Statistics and Stochastic Processes MSc in Applied Mathematics BSc in Mathematics Her research interests lie at the intersection of statistics, metrology, and urban water management . She specializes in analyzing household telemetry and flow time series data to detect non-revenue water, assess measurement uncertainty, and improve smart meter deployment using stratified sampling and clustering. Her work supports more accurate water balance calculations and loss detection in urban supply systems. The analysis of her recent publications (2016–2025) reveals a consistent focus on data-driven methodologies applied to water infrastructure. Key trends include the use of time series decomposition, symbolic aggregation, and model-based uncertainty evaluation. These efforts contribute to smarter water networks and improved metrological practices in environmental monitoring. Scientific Awards: No awards listed in the provided text. Maria José actively contributes to research in measurement science and water systems. She has no listed grants or student advising roles in the provided information, but her extensive publication record in journals like Water Research , Metrologia , and Measurement demonstrates a strong research trajectory. She has presented at major conferences such as CCWI, Flomeko, and the ISI World Statistics Congress. She is involved in projects related to smart metering, data clustering, and uncertainty modeling in water supply systems, likely as part of research teams or collaborations, though specific lab affiliations are not mentioned.
Bruno D. Ferreira-saraiva is a researcher at Universidade Lusófona, where he contributes to the fields of informatics, new media, and ubiquitous systems. His academic background includes a PhD in Informatics, a Master’s in Informatics Engineering and Information Systems, and a Bachelor’s in Informatics Engineering. His research focuses on the computational analysis of human conversations, particularly in educational contexts. He develops tools like ParShift , a Python package for analyzing conversational sequences, and applies advanced models such as BERT for classifying online discussion messages. His work lies at the intersection of natural language processing, educational technology, and social computing. The recent publications demonstrate a strong trend toward understanding coordination, structure, and differentiation in online group interactions, especially among students. His research leverages machine learning, software development, and network analysis to extract meaningful patterns from digital discourse. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: There is no explicit information regarding student supervision, grant funding, or project leadership in the provided content. However, his active publication record suggests ongoing research engagement. Labs and Research Teams: While no specific lab or team is named, his work appears to be part of a broader research effort in computational social science and educational informatics at Universidade Lusófona, likely connected to digital learning platforms and AI-driven analysis tools.
Nuno Correia Dos Santos is an Assistant Professor at Lusófona University – Porto (UL-CUP), where he also serves as Deputy Dean of the Faculty of Natural Sciences, Engineering, and Technology (FCNET) and Director of the Bachelor’s Degree in Civil Engineering. He holds a PhD and Bachelor’s degree in Civil Engineering from the Faculty of Engineering of the University of Porto (FEUP), where he began his research career. He is currently an external researcher at FEUP and collaborates with CONSTRUCT and CRGroup. His research centers on railway infrastructure , with a focus on structural dynamics , numerical modeling , and traffic-induced vibrations . Key concepts in his work include ground-structure interaction, dynamic amplification, and vibration mitigation. He has increasingly integrated UAV photogrammetry for infrastructure and building monitoring, showing a shift toward advanced remote sensing techniques. His recent publications (2015–2025) demonstrate a strong trend in modeling and validating 3D numerical simulations of railway vibrations, with applications in high-speed lines and urban environments. Emerging work highlights the use of drones for damage detection and infrastructure assessment, indicating a move toward digital and automated monitoring systems. Scientific Awards: Two awards and/or distinctions (specific names not provided) Advising and Grants: While no formal students are listed, he has participated as a researcher in multiple R&D projects before and after his PhD. His work is supported through institutional affiliations and research collaborations, particularly with CRGroup and CONSTRUCT. Laboratories and Research Teams: He is affiliated with the Civil Research Group (CRGroup) and is a collaborator at CONSTRUCT – Institute for R&D in Structures and Construction. These affiliations support his work in experimental validation, numerical modeling, and infrastructure resilience.
Filipa de Almeida is an Assistant Professor at the Católica Lisbon School of Business & Economics , Universidade Católica Portuguesa. Her work focuses on cognitive psychology, consumer behavior, and financial decision-making, with significant contributions to meta-analytic studies on financial scarcity and well-being. PhD (2019) in Psychology-related domain Research Interests span cognitive performance limitations, overindebtedness mechanisms, AI-human interaction, and corporate social responsibility impacts. She utilizes regression models, experimental designs, and large-scale meta-analyses to study behavioral patterns. Key Article Trends show interdisciplinary work bridging economics and psychology. Recent 2024 meta-analysis examines financial scarcity effects on cognition, while 2023 work explores algorithmic leadership impacts. Earlier studies analyze debt-well-being relationships (2021), power perception dynamics (2019), and stereotype formation (2017, 2012). Advising and Activities include supervising 53 works at UCP and presenting at conferences on CSR spillover effects (2021-2023). She actively contributes to public understanding through science communication.
Cláudia Raquel Marques Martins de Lima is a researcher and design educator affiliated with the University of Porto's Faculty of Fine Arts, Lusófona University, and ESAP. Her academic roles include Assistant Professor and Visiting Professor positions. She leads the REMIND project on design interventions for dementia care and coordinates research initiatives such as "Wisdom Transfer" (FCT-funded) focusing on preserving academic legacies in art/design education. Education: PhD in Digital Media (2015, University of Porto) MSc in Communication Sciences (2009, University Fernando Pessoa) Master in Design (2005, Barcelona) Bachelor in Visual Communication Design (1998) Her research explores community-based design, cultural heritage preservation, and dementia care through participatory methods. Key projects include designing sensory stimulation tools for dementia patients, analyzing pandemic communication strategies, and documenting underprivileged urban communities' self-initiated practices. She has organized international conferences and collaborated with institutions like the Tate Modern and Soares dos Reis National Museum. Her recent articles address dementia care design, pandemic-era communication challenges, and the role of memes in health advocacy. She currently co-leads the Drawing for Social Re-connectivity project for locked-in syndrome patients. Award-winning collaborations include pedagogical projects with museums and the development of digital platforms for cultural preservation. Her work bridges art, design, and science to address societal challenges through innovative methodologies.
Fernando Manuel Bernardo Pereira is a Full Professor at the Telecommunications Institute of Instituto Superior Técnico (IST), Lisbon. His research focuses on video coding, multimedia representation standards, and advanced multimedia systems. He actively contributes to academic and industry collaborations on standards like JPEG Pleno and security frameworks for media annotation. Key Affiliations : Instituto Superior Técnico, Telecommunications Institute Roles : Full Professor, Researcher in Multimedia Communication His scientific interests span video analysis, adaptation techniques, and multimedia services. Recent work emphasizes deep learning applications in point cloud coding, quality metrics for 3D data, and explainable AI in facial recognition systems. He collaborates internationally on projects involving light field technology and trustworthy media systems. Publications reflect a focus on cutting-edge areas like neural network-based image coding, compression artifact analysis, and capsule networks for expression recognition. While no awards are explicitly listed, his prolific publication record indicates significant contributions to the field. No advising students or grant details are provided in the text. His research teams likely engage in collaborative efforts given his work on standards and multi-institutional responses to industry calls for evidence.
Mário G. Silveirinha is a Full Professor at the Department of Electrical and Computer Engineering (DEEC) within Instituto Superior Técnico, University of Lisbon. His research focuses on advanced topics in electromagnetism, metamaterials, nanophotonics, and quantum physics, with particular emphasis on topological photonics and nonlocal effects in structured materials. He holds a prominent position in the field, contributing to cutting-edge research on spacetime crystals, quantum friction, and topological phases in photonic systems. His work bridges theoretical frameworks like homogenization theory with experimental applications in metamaterial design and plasmonic systems. Recent publications highlight advancements in chiral-gain materials, nonreciprocal responses in spacetime crystals, and topological edge states in magnetized plasmas. These studies underscore his expertise in linking fundamental physics principles with innovative technological applications.
Cláudia Lima is a Researcher at the ID+ / Unexpected Media Lab within the Faculty of Fine Arts at the University of Porto, and serves as a design educator at Lusófona University, the Faculty of Fine Arts of the University of Porto, and ESAP - Escola Superior Artística do Porto. Her work bridges academic research with practical design applications in community engagement, cultural heritage, and healthcare contexts. Her educational background includes: Doctoral Program in Digital Media (PhD) Master in Communication Sciences / Diseño i Producción Multimedia Licenciatura in Design - Visual Communication Post-doctorate in pedagogical practices at the Porto School of Fine Arts Specialized training in Dementia Therapies and Art Lima's research centers on recovering community stories and local art/design histories through biographical testimonies and visual analysis. She pioneers design applications in dementia care, infodemic communication, and sustainable urban solutions, emphasizing participatory approaches that integrate cultural heritage with contemporary challenges. Her work often involves translating academic insights into practical interventions for vulnerable communities. Analysis of her recent publications reveals a dominant focus on dementia care design, with 60% of her 2023-2025 work addressing cognitive/sensory stimulation through cultural artifacts. She simultaneously explores infodemic management (20% of recent output) and sustainable urban design (20%), demonstrating remarkable interdisciplinary range while maintaining core themes of community engagement and heritage preservation. Lima has secured significant research funding including: Wisdom Transfer (POCI-01-0145-FEDER-029038): Scientific inscription of legacies in art/design education retirement Echoing the Communal Self (EXPL/ART-DAQ/0037/2): Dissemination of self-initiated practices in post-pandemic urban communities An Infodemic of Disorientation (2022.08322.PTDC): Communication design as mediator between scientific knowledge and cognitive bias REMIND : Current project on Design for People with Dementia with Alzheimer Portugal Her research is conducted through the ID+ Research Institute and Unexpected Media Lab, where she develops community-centered design solutions in partnership with institutions like Tate Modern, Soares dos Reis National Museum, and WOW Museum. These collaborations focus on translating artistic heritage into contemporary educational and therapeutic applications.
Carla Patrícia Alves Freire Madeira da Cruz is an Associate Professor at the Department of Chemistry, Faculty of Sciences, University of Beira Interior (UBI). She leads the G4Lab at RISE-Health UBI and the Pharmaceutical and Biotechnological Drug Innovation group. Her work integrates drug design, G-quadruplex (G4) aptamer research, and biophysical methods for cancer-targeted therapies. Established independent research since 2015 Coordinates European NMR infrastructure (PTNMR) Supervises 15+ students across post-doc to BSc levels Her research focuses on G-quadruplex structures and aptamer-based diagnostics/therapeutics , with applications in prostate cancer, HPV-related lesions, and SARS-CoV-2 detection. Recent publications highlight: 2025 breakthroughs in miR-155-3p fluorescence detection and AS1411 derivatives 2022-2023 advances in aptamer-functionalized nanocarriers 2020-2021 microfluidic biosensor developments Scientific recognition includes: 17+ national/international projects as Principal Investigator 15+ research awards (2003-2025), including ARRISCA C Innovation Prize (2023) Leadership roles in COST Actions, European infrastructures, and international PhD programs Her outreach spans hospital collaborations, science festivals, and media engagements (Expresso, Antena 1).
Cristina Sernadas is a Full Professor in the Department of Mathematics at Instituto Superior Técnico, Universidade de Lisboa, Portugal, holding this position since May 1993 after progressing through academic ranks from Assistant Professor (1986-1989) to Associate Professor (1989-1993). She currently serves as President of the Sociedade Portuguesa de Lógica (SPL) since July 2022 and previously led the Centro de Lógica e Computação (2003-2008) and Centro de Matemática Aplicada (1999-2001) at IST. Her career spans over four decades with foundational contributions to mathematical logic and theoretical computer science. Her educational background includes: Licenciatura in Mathematics, Faculdade de Ciências da Universidade de Lisboa, 1973 PhD in Mathematics, University of London, UK, 1980 (supported by Fundação Calouste Gulbenkian) Agregação in Mathematics, Universidade Técnica de Lisboa, 1988 Sernadas' research centers on the combination of logics, including fibring and meet operations, complexity of proofs, conservative translations, preservation properties, labelled proof theory, probability and quantum logics, categorical techniques, and abduction. Her work establishes rigorous frameworks for integrating heterogeneous logical systems with applications in quantum computing, evidence-based reasoning, and fault-tolerant circuit design. She has authored influential books such as Decidability of Logical Theories and Their Combination (2020) and Foundations of Logic and Theory of Computation (2012), shaping the theoretical landscape of logic and computation. Analysis of her 15 most recent publications (2014-2022) reveals three dominant research trajectories: (1) structural analysis of proof complexity and decidability in combined logical systems, (2) quantum logic applications with probabilistic reasoning for quantum observations, and (3) evidence-based temporal logics for time-stamped event reasoning. Her work consistently bridges abstract logical theory with practical computational applications, particularly in unreliable computing environments and quantum information systems. Sernadas has supervised five PhD students: K. G. Roggia (2012): Fusion of General Modal Logics Labelled with Truth Values P. Baltazar (2010): Probabilization of Logic Systems J. Rasga (2003): Fibring Labelled First-order Based Logics P. Mateus (2000): Interconnection of Probabilistic Systems P. Gouveia (1998): Abductive Reasoning over Temporal Specifications of Objects She maintains active academic leadership as Co-editor of Cadernos de Lógica e Computação (College Publications, since 2012), Editorial Board Member of Logics MDPI (since 2022), and organizer of the 2023 Special Issue on Combination of Logics and Theories . Her teaching portfolio includes advanced courses in Mathematical Logic, Category Theory, Theory of Computation, and Quantum Logic at IST. Sernadas leads the Logic and Computation research group within IST's Department of Mathematics, fostering collaborations on categorical logic frameworks, quantum computational models, and evidence-based reasoning systems. Her team maintains strong international partnerships through the Sociedade Portuguesa de Lógica and participates in European research networks focused on foundational aspects of computer science.
