Luís B. Elvas is an Assistant Professor at ISCTE-University Institute of Lisbon's Department of Social and Business Sciences (SINTRA) and a Research Assistant at ISTAR-Iscte Research Center. He holds qualifications including a Technical Specialization in TensorFlow for AI (Coursera, 2021) and certifications in IoT/Blockchain from ISCTE and cybersecurity from Palo Alto Networks. His research spans artificial intelligence, healthcare informatics, smart cities, and blockchain, with applied work in medical imaging, data sharing, and urban analytics. Research interests include: Healthcare AI : Developing deep learning models for cardiac diagnostics, medical imaging analysis, and blockchain-based health data systems Smart Cities : Implementing IoT solutions for urban mobility optimization, disaster management, and sustainable transportation Data Science : Creating predictive analytics frameworks for clinical decision support and urban planning His publications demonstrate a strong focus on AI-driven healthcare solutions (67% of recent works) and smart city technologies (33%), with emerging interests in blockchain and NLP. Research consistently targets real-world applications in clinical settings and urban environments. Awards: Award for best internship, Order of Engineers (2022) Distinction for best internship, Order of Engineers (2021) He leads/contributes to multiple EU research consortia including AMR-EDUCare (antimicrobial resistance education), NEEM (e-health in Nepal), and Blockchain.PT. Coordinates the IEEE Computational Intelligence Society Student Branch Chapter at ISCTE and developed the ManagiDiTH master's program in digital health transformation.
Aurélien Tabard is an Associate Professor at LIRIS (Laboratoire d'InfoRmatique en Image et Systèmes d'information), a joint research unit between Université Claude Bernard Lyon 1 and CNRS. His academic career spans over a decade with positions at prestigious institutions including the IT University of Copenhagen, University of Munich, and INRIA. He completed his PhD at Université Paris-Sud in 2009, focusing on supporting lightweight reflection on familiar information. Tabard's research centers on convivial informatics, exploring alternatives to computational platforms that consider digital limits and foster sufficiency, maintenance, autonomy, and durability. His work emphasizes participatory approaches to designing resilient infrastructures and tools for rapid prototyping by non-designers. He investigates software obsolescence, digital sufficiency, and the materiality of data physicalization through projects like Limites Numériques and PC4-Congrats within PEPR eNSEMBLE. His recent publications reveal strong trends toward sustainability in computing, examining how digital systems can be designed with longevity and environmental impact in mind. There's a clear progression from technical HCI research toward broader societal implications of digital technology, particularly focusing on how users experience aging devices and negotiate digital limits collectively. Honorable mention award for 'Obsolescence Paths: living with aging devices' at ICT4S 2023 Student Lea Mosesso received the prize for best MSc thesis from Conseil National du Numérique Tabard actively mentors PhD students including Maëva Calmettes (working on skill and expertise sharing), Edlira Nano (studying software obsolescence), and Lea Mosesso (researching digital sufficiency). He collaborates extensively with researchers across France and internationally, particularly with Inria Lille where he spent a sabbatical in 2023. His current projects involve understanding software obsolescence, digital sufficiency, and the interplay between micro design decisions and systemic forces shaping ICT. He leads the Limites Numériques team, which investigates how to design computational platforms that take digital limits into consideration. The team recently developed an exhibit on water in the digital sector that will travel to Rhône-Alpes in spring 2025. Tabard also contributes to participatory design tools and critical approaches to participatory design, working with colleagues like Nolwenn Maudet, Thomas Thibault, and Romain Rouvoy.
Pedro R. M. Inácio is an Associate Professor at the University of Beira Interior (UBI) , where he teaches information assurance, cybersecurity, and computer simulation courses in undergraduate and graduate programs. He serves as Pro-Rector for the Digital University and Data Protection Officer at UBI, and leads the Cross Cutting Skills Lab and the Network Security research group at Instituto de Telecomunicações. His work bridges academia and industry, including a PhD at Nokia Siemens Networks Portugal.
Nuno Fernandes Crespo is an Associate Professor at the Department of Strategic Management and Marketing, Lisbon School of Economics & Management (ISEG), University of Lisbon. He holds a PhD in Management (2013), a Master's in Management and Industrial Strategy (2004), and a Bachelor's in Management (1999) from ISEG. His research focuses on International Business, Entrepreneurship, and Strategic Agility in international new ventures (INVs), particularly during crises. He has published extensively in journals like International Business Review , Journal of International Management , and Technological Forecasting & Social Change . His 15 most recent works (2023–2025) explore themes including: Business model innovation during crises Supplier-country image effects in B2B marketing Sustainable entrepreneurship in family firms Digitalization and early internationalization strategies Country-of-origin stereotypes in industrial marketing Dynamic capabilities in INVs He supervises Master's students in topics spanning internationalization, digital transformation, family business strategy, and innovation. Professional roles include coordinating the Master's in Management and Industrial Strategy (2016–2022), serving on ISEG’s Executive Commission, and leading the Doctoral Program in Management (2018–2022). His methodology integrates empirical research, mixed methods, and configurational approaches.
Simo Hosio is an Academy Research Fellow (2022-2027) and Professor of Computer Science and Engineering at University of Oulu's Center for Ubiquitous Computing, where he leads the Crowd Computing Research Group. He also maintains a visiting position at University of Tokyo, Japan. Having graduated as the first Finnish scholar under Microsoft Research Cambridge's Ph.D. scholarship program, he has published over 150 peer-reviewed scientific articles spanning two decades of research. Hosio's research spans three primary domains: crowdsourcing methodologies, human-computer interaction, and digital health applications. His work pioneers novel approaches to online labor markets, investigates the suitability of crowdsourcing for diverse applications, and explores HCI aspects of digital health solutions for chronic conditions. His research group, founded in 2020, has secured nearly two million USD in funding, demonstrating significant research impact and recognition. Analysis of Hosio's recent publications reveals a strong trend toward interdisciplinary research at the intersection of crowdsourcing, healthcare technology, and emerging AI systems. His work increasingly focuses on practical applications of crowd computing in health contexts, with growing attention to mental health, women's health, and workplace well-being solutions. The integration of AI and machine learning techniques with traditional HCI approaches represents another significant trajectory in his recent scholarship. Distinguished Paper Award (2024) Best Paper Honourable Mention Award (2022) PMCJ Best Research Paper (awarded in 2024) Best Paper Award (2022) Best Full Paper Award (2015) Honorable Mention Award (2014) Best Paper Presentation award (2010) As an educator, Hosio has taught Human-Computer Interaction (2019-2025) to over 260 students in 2024, Social Computing (2018-2021) to approximately 60 students annually, and Applied Computing (2015-2018) to around 50 students each year. His research group's nearly two million USD in secured funding demonstrates significant grant acquisition success, supporting innovative work at the intersection of crowd computing, health technology, and human-centered AI systems. The Crowd Computing Research Group, founded by Hosio in 2020, represents a significant research infrastructure focused on advancing methodologies for crowd-powered systems. The group's work spans from fundamental research on crowd labor markets to applied projects in healthcare, workplace well-being, and social computing, demonstrating a strong commitment to both theoretical advancement and practical impact.
Pedro Ferreira is a Professor at Iscte Business School, ISCTE - IUL, Lisbon, Portugal. His academic work spans multiple disciplines including business model innovation, cultural management, digital display systems, and consumer behavior. Key research areas: Business Model Innovation, Cultural Management, Digital Display Systems Interdisciplinary work: Healthcare Management, Energy Efficiency, Sensory Marketing Notable collaborations: Rock in Rio, Ferreira's de Castro Cultural Complex His publications demonstrate ecosystem-based approaches to cultural economics, with applications in virtual reality exhibitions and sustainable business practices. Recent work focuses on technology integration in perfume exhibitions and energy efficiency strategies. Earlier research includes pharmacological studies on P2X7 receptors in colitis and foundational financial accounting textbooks. He has analyzed group buying systems in Portugal and explored intersections between management theory and art. Academic contributions span 45 years, with a 2024 patent on digital display systems and a 1979 report on tomato industry economics. Current affiliations include: Iscte Business School ExecED at ISCTE INDEG-ISCTE Edifício INDEG-ISCTE, Lisbon
Dr. Olivia Petit is a Lecturer and researcher in Marketing at KEDGE Business School specializing in consumer neuroscience, sensory marketing, and digital marketing. Her research employs advanced methodologies including functional magnetic resonance imaging (fMRI) studies to investigate mental imagery and multisensory interactions in consumer experiences. Her research interests focus on consumer neuroscience , sensory marketing , digital marketing , AR/VR applications , and food marketing . Dr. Petit examines how sensory cues influence consumer behavior, particularly in digital environments, with emphasis on visual, auditory, and tactile elements that shape consumer experiences and decision-making processes. Analysis of her recent publications (2021-2024) reveals a strong trajectory toward multisensory digital experiences , ethical considerations in customer experience , and advanced applications of extended reality in marketing contexts. Her work bridges neuroscience, psychology, and business applications with particular focus on food and beverage marketing. Scientific recognition includes: Nestlé Foundation award (2012) EMAC McKinsey Marketing Dissertation Award (2015) Dr. Petit has established significant collaborations with researchers across Europe and has published in top-tier journals spanning marketing, neuroscience, psychology, and food science domains. Her work demonstrates a consistent focus on understanding the cognitive and sensory mechanisms underlying consumer behavior in both traditional and digital contexts. Her laboratory work incorporates advanced technologies including virtual reality systems and neuroimaging techniques to explore how multisensory cues influence consumer perception, decision-making, and behavior in retail and online environments.
Rui Vinhas da Silva is a Full Professor at ISCTE-IUL and an Associate Professor at the University of Manchester Business School. With a career spanning over two decades, he has contributed extensively to research in national competitiveness, corporate reputation, and sustainable business practices through publications, books, and executive training programs. Education: PhD and Postdoctoral Fellow at the University of Manchester; MBA and Master of Economics from UK and Canada Research Focus: National competitiveness, sustainability in business, marketing strategy, and organizational behavior His recent articles explore topics like AI's role in society, caravan tourism regeneration, and sustainable business models. He has received teaching accolades at ISCTE and leads research initiatives in European networks like COST-CHERN. Silva's work bridges academic rigor with practical applications in consulting and executive education.
Teresa Cristina de Freitas Gonçalves is an Associate Professor at the Department of Informatics, School of Sciences and Technology, University of Évora, where she has been employed since 1999. She serves as an integrated researcher at the ALGORITMI research centre and is the Director of the VISTA Lab (Video, Image, Speech and text Analysis Lab), the unit of the ALGORITMI research centre at University of Évora. Her leadership roles include Director of the Master programme in Informatics Engineering and deputy Director of both the Master programme in Artificial Intelligence and Data Science and the Doctoral program in Computer Science. She earned her PhD in Computer Science from University of Évora and a MSc degree in Informatics Engineering from New University of Lisbon. Her academic journey at University of Évora has included significant leadership positions including Head of the Computer Science Department (2011-2015), Director of the Bachelor programme in Informatics Engineering (2016-2021), and Deputy Director roles for various undergraduate and graduate programs. Dr. Gonçalves' research focuses on intelligent systems, particularly Machine Learning approaches, with substantial contributions in evolutionary algorithms, information extraction and retrieval, and supervised learning across multiple data modalities including tabular data, text (in both Portuguese and English), and images (medical and satellite). Her work bridges theoretical advances with practical applications in healthcare, remote sensing, and natural language processing. She has successfully supervised 6 doctoral theses, 19 master theses, and 3 postdocs, and currently mentors 5 doctoral and 6 master students from diverse international backgrounds including Bangladesh, Cabo Verde, Nepal, Philippines, India, Sri Lanka, China, Mongolia, and Portugal. Her publication record includes over 100 scientific articles indexed by Scopus with 640 citations and an h-index of 12, demonstrating significant international impact with 56% of her work involving international collaboration. Her recent research shows a strong trend toward applying advanced machine learning techniques to healthcare applications, information retrieval systems, and remote sensing analysis, with particular emphasis on transformer networks, learning-to-rank methodologies, and multimodal data analysis. Dr. Gonçalves has made substantial contributions to the academic community through her service as a reviewer for over 50 articles in prestigious international journals and conferences, and as chair for major international conferences including IDEAL 2023, PROPOR 2020, SKIMA 2017 and 2018, and CLEF 2016. She serves on the board of APRP (Associação Portuguesa de reconhecimento de Padrões) and as a jury member for APRP prizes for best MSc and PhD theses. Her current research portfolio includes coordination of the Horizon Europe MSCA Staff Exchange HarmonicAI project and local coordination of WP6 in the NewSpace Portugal mobilising agenda. She is also actively involved in numerous other international research initiatives including Interreg VI-B Sudoe SenforFire, PRR CANTE, La Caixa INCOME, Erasmus+ KA220-HED REDINEST, Interreg POCTEP TID4AGRO, and ATTRACT DIH projects. Previously, she led the FCT AI in the Public Administration SNS24.Scout.IA project and coordinated the FEDER R&D NIIAA project. As Director of the VISTA Lab, Dr. Gonçalves leads a dynamic research team focused on video, image, speech, and text analysis. The lab serves as the Évora hub of the ALGORITMI research centre and has established strong international collaborations. Under her leadership, the VISTA Lab has developed innovative approaches in medical image analysis, natural language processing for Portuguese, and satellite image classification, with applications spanning healthcare, environmental monitoring, and public administration.
Pedro M. B. Silva Girão is a Full Professor in the Department of Electrical Engineering at Instituto Superior Técnico (IST), University of Lisbon (UL), and a Senior Researcher at Instituto de Telecomunicações where he heads the Instrumentation and Measurements Group and coordinates the Basic Sciences and Enabling Technologies area. His dual institutional roles position him at the forefront of academic research and technological innovation in Portugal. His research program focuses on instrumentation, transducers, and measurement techniques with specialized applications in biomedical and environmental domains. Key interests include wireless sensor networks for health monitoring, metrology standards, and digital data processing methodologies. This work bridges engineering principles with real-world healthcare and ecological challenges, emphasizing practical implementations in diagnostic systems and environmental sensing. Analysis of his 2019-2024 publications reveals a strong thematic trajectory in IoT-enabled healthcare solutions and precision environmental monitoring. Recurring motifs include gait rehabilitation through mixed reality systems, advanced dosimetry for liver cancer radioembolization, microvascular reactivity assessment, and water quality sensor networks. His output demonstrates consistent interdisciplinary collaboration between engineering, medical, and environmental science communities. Dr. Girão's scientific recognition includes: IEEE Senior Member status IEEE IMS Distinguished Lecturer appointment Honorary Chairmanship of IMEKO TC19—Environmental Measurements As leader of the Instrumentation and Measurements Group at Instituto de Telecomunicações, he directs a multidisciplinary team developing next-generation measurement systems. Current initiatives integrate microwave Doppler radar, wearable biopotential sensors, and wireless networks for unobtrusive health monitoring and environmental assessment, with active partnerships across medical institutions and ecological agencies.
Alexandre Castro Caldas is a Full Professor of Neurology at the Faculty of Medicine of Lisbon and currently serves as the Coordinator of the National Council for the Health Sciences at Universidade Catolica Portuguesa (UCP). He is affiliated with the Center for Interdisciplinary Research in Health (CIIS), where he actively contributes to neuroscience and health research. He previously directed the Neurology Service at Hospital de Santa Maria and the Institute of Health Sciences, where he played a key role in establishing the Integrated Master in Medicine program. MD, University of Lisbon PhD, University of Lisbon His research focuses on Cognitive Neuroscience, particularly the modulatory effects of environmental stimulation on the human brain, aphasia, brain injury, Parkinson’s disease, and neuroethics. He has led and contributed to numerous interdisciplinary projects, including studies on socio-economic impacts on child development and tele-rehabilitation during the pandemic. His work integrates neuroimaging, clinical neurology, and systematic reviews to advance understanding of brain function and rehabilitation. The most recent articles reflect a strong trend in neurorehabilitation, cognitive training, functional connectivity, and neuroethical implications of neuroscience and technology. His publications span high-impact journals in neurology, psychology, and interdisciplinary health sciences, emphasizing translational research and policy-relevant findings. Distinguished Career Award, International Neuropsychological Society (2009) Great Price of Medicine, Bial Foundation 1st Prize Pfizer for Young Researcher (1974, 1976, 1998) 1st Prize Sandoz (1992) Dr. Caldas has supervised numerous research projects and doctoral theses, served on examination juries, and contributed to editorial boards of international journals. He has been involved in major research grants from the Fundação para a Ciência e a Tecnologia and Fundação Calouste Gulbenkian. His leadership extends to advising national health education policy and fostering interdisciplinary collaboration across institutions. He is a key figure in the CIIS research network and has contributed to projects such as CADOS/CIIS on child development and AQUI_LGP on sign language acquisition. His work continues to influence both clinical practice and academic research in neuroscience and health sciences in Portugal and internationally.
João Guerreiro is a Visiting Assistant Professor at ISCTE-IUL (Instituto Universitário de Lisboa) with a PhD in Marketing from the same institution. He is affiliated with the Iscte Business School, where he teaches undergraduate and master's degree courses in marketing and decision support systems, applying data mining techniques to analyze large information sets. His research expertise spans three interconnected domains: Decision Support Systems - particularly in banking and insurance sectors where he has held executive positions Neuroscience Applied to Marketing - utilizing eye-tracking and studying autonomic emotional responses to consumer stimuli Corporate Social Responsibility - examining cause-related marketing and pro-environmental behavior in tourism Dr. Guerreiro's recent publications (2020-2023) reveal a strong emphasis on immersive technologies, with multiple studies on virtual reality applications in consumer behavior, augmented reality's impact on purchasing decisions, and cross-cultural differences in digital marketing effectiveness. His methodological approach frequently incorporates text mining, sentiment analysis, and neuromarketing techniques to uncover deeper consumer insights. His industry experience in decision support systems provides practical grounding for his academic work, creating a valuable bridge between theoretical marketing concepts and real-world business applications in financial sectors.
Miguel Sales Dias is affiliated with ISCTE - Instituto Universitário de Lisboa, specifically the Iscte Business School. His research spans multiple domains, including Machine Learning , Immersive Technologies , and Urban Mobility . His work focuses on: Developing AI-driven systems for energy consumption optimization in public buildings Creating co-design interfaces for housing customization Exploring mHealth applications for cardiac diagnostics Advancing virtual reality for education and visitor experiences Recent publications demonstrate expertise in smart city solutions , bioinformatics , and human-computer interaction . While specific awards or educational background weren't explicitly mentioned, his extensive publication record indicates significant contributions to interdisciplinary research.
Arthur Araujo is a Professor at Lusófona University, holding a PhD in Tourism Studies from the University of Aveiro. He teaches disciplines such as Crisis and Disaster Management in Tourism for Master's students, alongside courses in Research Methodology, Tourism and Sustainability, and Nautical Tourism for undergraduates. His research spans neurotourism, tourism sustainability, film tourism, destination imagery, and resilience, with publications in leading journals including Annals of Tourism Research , Journal of Travel & Tourism Marketing , and British Food Journal . PhD in Tourism Studies, University of Aveiro Master’s in Management Bachelor’s Degree in Tourism Training in Digital Marketing, Structural Equation Modeling, SPSS, NVivo, and WebQDA Arthur’s work explores the intersection of neuroscience and tourism, focusing on destination imagery, crisis management, and sustainable practices. His recent publications address Gen Z tourism behavior, neurotourism gaps, and age dynamics in post-pandemic recovery. He has industry experience in Brazil and Spain, particularly in tourism accessibility and educational tourism. Arthur is a member of the Centre for Transdisciplinary Development Studies (CETRAD) at UTAD and the ART&TUR International Film Tourism Festival Jury. His research trends include sustainable destination branding, neuroscientific methodologies in tourism, and crisis-induced behavioral shifts. Arthur has contributed to studies on film-induced tourism, slum tourism, and workplace skills in the hospitality sector.
Jorge Fernandes is a Full Professor at the Department of Electrical and Computer Engineering, Higher Technical Institute (Lisbon). His primary research focuses on analog and mixed-signal integrated circuits, with expertise in low-power design, energy harvesting, and CMOS technologies. He has led multiple national and international projects, including initiatives funded by the European Union, and has contributed significantly to advancements in ADCs, oscillators, and biomedical applications. Education: PhD in Electrical Engineering (2000), Instituto Superior Técnico MSc in Electrical Engineering (1993), Instituto Superior Técnico His research interests span analog circuit design, signal processing, and biomedical systems. He has authored or co-authored over 150 peer-reviewed publications and holds leadership roles in collaborative projects such as PULSARPLANE and IMAGIC. His work emphasizes practical applications in energy-efficient electronics and sensor technologies. Key Projects: Coordinator of EU-funded projects: PULSARPLANE (navigation systems), IMAGIC (spintronics-based implants) Researcher in national initiatives focused on ADC architectures, energy harvesting, and non-destructive testing Labs/Teams: Active in INESC-ID’s Analog and Mixed-Signal Circuits Group, collaborating with global partners on cutting-edge circuit design and biomedical applications.
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