جستجوی استاد راهنمای دانشگاهی

• 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.

• Computer Science
• Formal Methods
• Programming Languages
• +۱ مورد دیگر

André de Matos Pedro is an Assistant Professor in the Department of Computer Science at the University of Beira Interior. He teaches courses including Teoria da Computação (Theory of Computation), Programação Funcional (Functional Programming), and Segurança e Fiabilidade de Software (Software Security and Reliability). His research focuses on formal methods, runtime verification, and programming language theory. His publication record shows consistent focus on formal verification methods applied to real-time and embedded systems. Recent work emphasizes runtime monitoring frameworks, SAT/SMT-based verification techniques, and applications in safety-critical domains like autopilot systems. The research trajectory demonstrates increasing emphasis on practical applications of temporal logic and co-simulation testing platforms.

• Formal specification
• Dynamic and modal logics
• Cyber-physical systems
• +۵ مورد دیگر

Alexandre Madeira is an Associate Professor in the Mathematics Department at the University of Aveiro, Portugal. He is a member of CIDMA (Center for Research and Development in Mathematics and Applications) and collaborates with HASLab (INESC TEC). His work focuses on formal methods, dynamic logics, and their applications to cyber-physical systems and quantum programming. Education: PhD in Computer Science (2013), University of Minho, awarded the Portuguese IBM Scientific Prize 2013 MSc in Mathematics (200?), University of Aveiro Bachelor's in Applied Mathematics and Computation, University of Aveiro Research Interests: Formal specification of software Dynamic/Modal logics Cyber-physical systems Quantum programming Algebraic specification Fuzzy logics Projects: DaLí: Dynamic logics for cyber-physical systems (coordinator) Ibex: Quantitative methods for cyber-physical programming Klee: Coalgebraic modeling in synthetic biology Awards: Portuguese IBM Scientific Prize (2013) Best paper nominee at SEFM 2019 for Hybrid Dynamic Logic Academic Engagement: Co-chair of the DaLí Workshop series PC member for SEFM, CALCO, and others Editor of multiple conference proceedings and journal special issues

• Global Education
• Decolonizing Higher Education
• Antiracist Education
• +۸ مورد دیگر

Dalila Pinto Coelho is a Researcher at the Centre for Research and Intervention in Education (CIIE), Faculty of Psychology and Educational Sciences, University of Porto, Portugal. She is actively involved in national and international research on global education, decolonizing higher education, antiracist pedagogy, and sustainable development. She leads multiple funded projects and collaborates with academic networks across Europe, Latin America, and Africa. PhD in Educational Sciences, University of Porto (2019) 5-year degree in Educational Sciences, University of Coimbra (2004) Specialized training in supervision and evaluation in education, University of Aveiro (2013) Her research focuses on education for socially just futures , particularly through two interconnected strands: sustainable development and global education; and postcolonial, decolonial, and antiracist issues in education and international development. She examines the role of higher education in advancing the 2030 Agenda, antiracist teacher training, and transformative learning. The recent publications and projects reflect a strong trend toward critical, decolonial, and transformative approaches in global and development education. Her work emphasizes epistemic justice, policy-practice gaps, and civil society-academia collaboration, often through international comparative studies and multilingual research synthesis. Four FCT contracts awarded CEEC contract (2024–2030) Member, COST Action on Decolonising Development (2020–2024) Expert contributor for multiple international editions of Global Education Digest She supervises postgraduate researchers in Europe and East Africa and is a member of international teams, including UCL’s Academic Network on Global Education and Sinergias, a community of practice bridging civil society and academia. She serves on the editorial board of the journal Sinergias and contributes extensively as a reviewer and editor. She has led evaluations of Portugal’s National Strategy for Development Education and is a member of the European Commission’s multistakeholder group on Development Education and Awareness Raising. Dalila integrates CIIE’s Community of Practice on Participation, Communities, and Political Education and contributes to long-term collaborations focused on knowledge democratization and transformative education.

FRANCISCO MARIA RIBEIRO DA COSTA SILVA PINTOمشاهده پروفایل

استادیار

• Numerical and analytical modeling
• Infrastructure governance
• Water supply
• +۷ مورد دیگر

FRANCISCO MARIA RIBEIRO DA COSTA SILVA PINTO is an Assistant Professor at Lusofona University , affiliated with the Faculty of Engineering and the RCM2+ research center. His work bridges infrastructure governance and resource efficiency in critical socio-environmental contexts. University: Lusofona University School: Faculty of Engineering Department: RCM2+ His research focuses on water supply systems , wastewater management , and waste infrastructure , integrating numerical modeling and analytical frameworks to address socioeconomic inequalities (SDG 10) and environmental challenges. Recent work explores feedback loops in urban water systems and algorithmic approaches for SME sustainability. Key trends in his 15 most recent publications include cross-sectoral water governance , affordability frameworks , and Python-based optimization in industrial settings, with a strong emphasis on Portugal case studies and European Commission-funded projects like BIOFIN. Honoris Causa distinction (2023) from Lusófona University Active researcher in water-socioeconomic feedback mechanisms Collaborator on EU-funded BIOFIN project (2024–2026) While no specific student names are listed, his supervised work includes a 2024 chapter on water and SDG 10. Media coverage highlights his contributions to water tariff policy debates and resource governance frameworks .

• Communication Sciences
• Portuguese Linguistics
• Grammar
• +۳ مورد دیگر

Sandra Marina Claudino Duarte Tavares is a Visiting Assistant Professor at the Catholic University 's Faculty of Human Sciences, an Adjunct Professor at the Polytechnic Institute of Lusophony 's School of Education of Lusophony, and an Assistant Professor at the Lusófona University of Humanities and Technologies 's School of Communication, Architecture, Arts and Information Technologies. PhD in Communication Sciences (2024, Lusófona University) Master's in Portuguese Linguistics (2002, University of Lisbon) Bachelor's in Linguistics (1996, University of Lisbon) Her research focuses on Communication Sciences , Portuguese Linguistics , and Grammar , with emphasis on language education , corporate communication , and applied linguistics . Her publications analyze common linguistic errors, grammar training, and professional communication strategies. Her recent work includes books and chapters on Portuguese grammar, educational materials for language acquisition, and conference papers addressing syntactic classification in teaching contexts. She has participated in 1 research project and 1 academic event.

• Aerial Robotics
• Unmanned Aerial Vehicles (UAVs)
• Remote Sensing
• +۱۲ مورد دیگر

João Pedro Matos-Carvalho is an Assistant Professor at Lusófona University in Lisbon, affiliated with the School of Engineering and the Department of Electrical and Computer Engineering. He is also an Integrated Member of the Center of Technology and Systems (CTS) at UNINOVA and COPELABS, Lusófona University, contributing to interdisciplinary research in robotics and intelligent systems. Ph.D. in Electrical and Computer Engineering, FCT NOVA (2021) M.Sc. (Hons.) in Electrical and Computer Engineering, FCT NOVA (2017) His research focuses on aerial robotics, machine learning, remote sensing, and sensor networks, with applications in UAV navigation, precision agriculture, environmental monitoring, and embedded AI. He has made significant contributions to GPS-denied navigation, multispectral imaging, and AI-driven signal processing. The recent publications reflect a strong trend in integrating deep learning with real-world engineering systems, particularly in UAV autonomy, IoT, and human-centric applications like fall detection and online learning analysis. His work spans algorithm design, software development, and practical deployment in complex environments. Best Paper Award at IEEE Conference (2018) Distinguished Paper Award by LASIGE at FCUL (2021) Best Poster Presentation Award at International Complex Systems and Their Applications Conference (2023) He has secured the competitive Scientific Employment Stimulus (CEEC) grant from FCT and has advised or collaborated on multiple research projects. He has guest-edited special issues in journals such as Drones and Frotiers in Computer Science , and serves as a reviewer for leading scientific journals. He leads the development of open-source tools like AutoNAV and Raster Forge, supporting simulation and geospatial analysis. He is actively involved in research teams at CTS-UNINOVA and COPELABS, focusing on intelligent systems, aerial robotics, and data fusion. His lab work emphasizes practical UAV platforms, sensor integration, and AI deployment in real-time systems.

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.

• Applied Linguistics
• Lexicology
• Lexicography
• +۳ مورد دیگر

Luisa Portilla Durand is a Full-time Professor at the Faculty of Letters and Human Sciences, National University of San Marcos (UNMSM). She holds a PhD in Peruvian and Latin American Literature from UNMSM, alongside advanced degrees in Lexicology, Education, and Linguistics. Her career includes roles as Researcher (Member A) at key institutes: CILA (2002–2012), INVEL (2013–2015), and IIPPLA (2016–present). Her academic focus lies in Applied Linguistics , with specialization in lexicography, discourse analysis, and Peruvian linguistic studies. She contributed to major projects like the Royal Spanish Academy’s dictionaries (DRAE 22nd/23rd editions) and dictionaries of Americanisms. Her teaching spans courses like Dialectology, Lexicology, Normative Grammar, and Research Methods. Education: PhD (Peruvian Literature), M.Ed. (Higher Education Teaching), M.Sc. (Lexicology), Licentiate in Linguistics Recipient of the 2012 Scientific Merit Award for outstanding research at UNMSM. Author of seminal books including Léxico peruano/Español de Lima and Voces del español del Perú . Her work bridges academic research with practical lexicography, emphasizing regional language variations and cultural discourse. Key Research Contributions: Lexical studies of Oswaldo Reynoso’s works, comparative Hispanic lexicography, and Pan-Hispanic language standardization. International Engagement: Speaker at conferences in Spain, Argentina, Bolivia, Chile, and Cuba.

Ana Luísa Raposoمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Memory Research
• Semantic Memory
• +۴ مورد دیگر

Ana Luísa Raposo is an Associate Professor at the Faculty of Psychology, University of Lisbon, serving as Vice President of the Scientific Council and Executive Committee member of the Mind-Brain College of ULisboa. She also contributes to the Scientific Committee for both Master and PhD Programs in Cognitive Science. Her research centers on cognitive psychology with specific focus on long-term memory encoding/retrieval mechanisms, semantic memory organization, and semantic-episodic memory interactions. Methodologically, she employs functional magnetic resonance imaging (fMRI), EEG, and eye-tracking to investigate these processes across healthy and aging populations, with particular emphasis on memory interference phenomena and neural correlates of cognitive control. Recent publications (2021-2024) reveal consistent thematic trajectories in memory research, particularly examining how semantic knowledge influences episodic recall, neural signatures of aging-related cognitive changes, and error-driven memory correction mechanisms. Her work demonstrates strong interdisciplinary collaboration across neuroscience, linguistics, and computational modeling. She actively mentors through Cognitive Science graduate programs and leads significant research initiatives including the CICPSI-funded '50A25A' project on personal/shared memory (2024, PI), FCT project 'Can we learn from errors?' (2020-2022, PI), and 'LOSTME' visual memory study (2018-2022, Co-PI). Raposo's scholarly activities are anchored in the Mind-Brain College of ULisboa where she coordinates multidisciplinary teams integrating experimental psychology, neuroimaging, and computational approaches to advance memory research.

• Discrete-Event Simulation
• Supply Chain Management
• Logistics Optimization
• +۵ مورد دیگر

Guilherme Augusto Borges Pereira serves as an Associate Professor at the School of Engineering, University of Minho, and holds the position of Senior Researcher at Centro ALGORITMI. He is actively involved with the IEM R&D Group and SLOTS R&D Lab, contributing to research in industrial engineering and simulation. With a PhD credential and substantial academic output (93 publications, 645 citations, h-index 13), his work appears prominently in Q1/Q2 journals across operations research and industrial engineering domains. His research program centers on discrete-event simulation methodologies applied to complex industrial systems, with particular expertise in supply chain management, logistics optimization, and big data integration. Key application areas include warehouse automation systems, production line control mechanisms, automotive supply chains, cement industry logistics, and healthcare transportation services. His methodological contributions frequently combine simulation with optimization techniques such as genetic algorithms and integer programming to solve real-world operational challenges. Analysis of his publication trajectory reveals a strategic evolution toward integrating big data analytics with traditional simulation frameworks, particularly for supply chain risk management and data validation purposes. His work demonstrates remarkable cross-sector applicability, spanning automotive manufacturing, cement production, cork industry processes, and urban traffic systems. Recent publications emphasize computational experiments with simulation tools in big data contexts, semantic validation techniques, and comparative studies of simulation software platforms. As an academic leader, Pereira has chaired significant conferences including the European Modeling and Simulation Symposium (EMSS) 2019. His research maintains strong industry relevance through case studies addressing material handling systems, warehouse design optimization, production flow control, and non-emergency patient transportation logistics. His technical proficiency extends across multiple simulation environments with particular emphasis on the Simio platform for industrial applications.

• Information Systems
• Business Intelligence
• Data Mining
• +۴ مورد دیگر

Maria Isabel Calapez Cabrita Leal Seruca serves as an Associate Professor at Portucalense University's Science and Technology Department in Porto, Portugal, where she teaches Information Systems and coordinates the Informatics Engineering and Information Systems for Management programs. She additionally holds the role of Department Coordinator for the Erasmus+ Programme. As a Senior Researcher at Universidade do Minho's Centro Algoritmi, she contributes to the IST R&D Group and ISTTOS R&D Lab, bridging academic and research domains across institutions. Her academic foundation includes a degree in Applied Mathematics and Computation from Portucalense University, complemented by an MSc and PhD in Computation from the University of Manchester Institute of Science and Technology (UMIST). This technical background underpins her research trajectory in digital systems and organizational transformation. Her research focuses on Information Systems with specialized expertise in Business Intelligence, Data and Web Mining, Digital Transformation, and Reuse and Patterns. She has pioneered models like E-swim (Enterprise Semantic Web Implementation) and ToOW (Training of Organizations in the Web) to address organizational challenges through technology adoption. Her work consistently integrates practical applications in educational settings and industry contexts, particularly through international Erasmus collaborations. Analysis of her 2019-2025 publications reveals a dominant emphasis on Digital Transformation in educational mobility systems (notably Erasmus+ projects), alongside applied Data Mining in domains including tourism, pharmaceutical distribution, and waste management. Her scholarship demonstrates a trajectory from foundational semantic web research toward contemporary organizational digitalization challenges, with increasing focus on sustainable development frameworks. While no major individual scientific awards are documented in the source material, her research output includes 41 publications with an h-index of 7 and 164 citations, reflecting steady scholarly impact in Information Systems journals and conferences. She actively leads Erasmus+ initiatives including the KA220 project 'Data Science We Teach Data' and has coordinated multiple Erasmus Intensive Programmes on Sustainable Digital Transformation (2022-2023), Business Intelligence (2008-2010), Web Mining (2011-2013), and Data Science (2014). Her grant work consistently targets curriculum development for digital competencies in higher education. Within research infrastructure, she contributes to the Digital Transformation and Innovation in Organisations (DTIO) Group at REMIT (Portucalense University) and the ISTTOS Lab at Centro Algoritmi (Universidade do Minho), focusing on organizational agility through technology adoption and pattern-based solutions.

André Platzerمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Formal Methods
• Theorem Proving
• +۳ مورد دیگر

André Platzer is the Alexander von Humboldt Professor for Logic of Autonomous Dynamical Systems at the Karlsruhe Institute of Technology (KIT) and the founder of the Logical Systems Lab at Carnegie Mellon University. His research focuses on the logical foundations of cyber-physical systems (CPS), aiming to ensure their safety through rigorous formal methods and theorem proving. He leads the Institute for Reliability of Autonomous Dynamical Systems at KIT. Education: Ph.D. (summa cum laude), Computer Science, University of Oldenburg (2008) Master's (equiv. to MSc), Computer Science & Mathematics, Karlsruhe Institute of Technology (2004) Bachelor's, Computer Science & Mathematics, Karlsruhe Institute of Technology (2001) Research Interests: Logic of Dynamical Systems Cyber-Physical Systems Formal Methods & Theorem Proving Programming Languages Automated Reasoning His work develops differential dynamic logic and tools like KeYmaera X to verify safety-critical systems in transportation and robotics. Recent advancements include adaptive shielding for neural networks and verified collision avoidance algorithms. Scientific Awards: Alexander von Humboldt Professorship (2023) NSF CAREER Award (2011) ACM Doctoral Dissertation Honorable Mention (2009) Popular Science's Brilliant 10 Young Scientists (2009) Advising & Grants: Supervised PhD students include Katherine Kosaian, Yong Kiam Tan, Rose Bohrer, and Sarah Loos. Active grants include DFG SFB Convide and KiKIT Kerninformatik. His research collaborates with industry (e.g., Bosch, Siemens) to improve CPS safety. Labs & Teams: Leads the Logical Systems Lab at CMU and the Institute for Reliability of Autonomous Dynamical Systems at KIT. Key projects include formal verification frameworks for aviation and railway systems.

Amir PIRAYESHمشاهده پروفایل

دانشیار

• Supply Chain Management
• Process Modeling
• Simulation
• +۱۲ مورد دیگر

Dr. Amir Pirayesh is an Associate Professor in Operations, Supply Chain and Information Management at KEDGE Business School, France. His research focuses on supply chain optimization, process modeling, and sustainability in manufacturing and logistics systems. He holds a PhD in Industrial and Mechanical Engineering from École nationale supérieure des arts et métiers (ENSAM) and previously worked at ENSAM as an ATER (Associate Professor of Teaching and Research). He has contributed extensively to European research projects under the Factories of Future and Horizon 2020 programs. PhD in Industrial and Mechanical Engineering (ENSAM, 2014) Current affiliation: KEDGE Business School Prior affiliation: InterOP-VLab His research spans four key domains: supply chain optimization (vaccine distribution, waste recycling), smart manufacturing (collaborative robots, assembly line balancing), enterprise modeling (interoperability, conceptual frameworks), and sustainability analytics (circular economy, environmental/social integration). Recent work applies reinforcement learning to scheduling and semantic frameworks for IoT interoperability. Article trends show a strong focus on pandemic response logistics (2021-2025), followed by collaborative robotics (2024), smart grid energy management (2022-2023), and circular economy applications (2023-2025). Co-authors include M. Mohammadi, M. Karimi Mamaghan, and O. Battaia, indicating collaborations across French, Iranian, and Portuguese institutions. As a former InterOP-VLab researcher and ENSAM ATER, Dr. Pirayesh has extensive experience in model-driven enterprise management, with applications in healthcare logistics, sustainable manufacturing, and digital dentistry. He teaches courses on supply chain modeling, simulation, and information systems optimization.

Sílvia Rosado Correia Patrícioمشاهده پروفایل

دانشیار

• Aesthetics
• Philosophy of Art
• Plastic Arts
• +۴ مورد دیگر

Sílvia Rosado Correia Patrício serves as Associate Professor at Universidade Europeia's IADE School of Arts and Design, teaching Aesthetics and Philosophy of Art since 2001. She is an active member of Unidcom research unit's 'Mapear Design: história, produtos, cultura e identidade' group, leading interdisciplinary projects connecting Plastic Arts, Cinema, and Photography. Her academic foundation includes a Painting degree from Lisbon's Faculty of Fine Arts (1993), followed by Master's (1995) and PhD (2000) in Aesthetics from Université Paris 8 under Christine Buci-Glucksmann. As a Gulbenkian and FCT research fellow from 1994-2000, she established her scholarly trajectory before joining IADE. Patrício's research centers on heteronimization beyond poetry, exploring 'othering' mechanisms in image-making across photography, cinema, and painting. Her work interrogates identity construction, bodily representation, and narrative structures in visual culture, with particular focus on Portuguese-speaking artistic contexts and ethical dimensions of contemporary image production. Analysis of her 2013-2017 publications reveals consistent interdisciplinary engagement with Deleuzian concepts, embodiment theory, and cross-medium aesthetic analysis. Key thematic threads include desterritorialization in film (notably Richard Linklater's Boyhood), photographic narrative structures, and ethical frameworks for contemporary visual practice. Her scientific recognition includes: 1994 Honorable Mention from Cité Universitaire de Paris for 'Variações sobre o branco' 1990 Acquisition Prize from Amadora City Council for 'Percursos Urbanos' Patrício founded IADE's Photography and Visual Culture undergraduate program and Photography Studies master's track, securing research funding for interdisciplinary projects since 2001. Her leadership bridges academic scholarship with artistic practice through sustained collaboration with institutions like Université Paris 8 and Université Mohammed V. Within Unidcom's 'Mapear Design' group, she contributes to research examining design history, cultural identity, and product semantics through collaborative projects involving art historians, designers, and cultural theorists across Portuguese-speaking academic networks.