Adriano Jorge Cardoso Moreira is an Associate Professor with Habilitation at the Department of Information Systems, School of Engineering, Universidade do Minho, Portugal. He is also a Senior Researcher at the Algoritmi Research Centre and Scientific Coordinator of the Urban and Mobile Computing department at Centro de Computação Gráfica. His research focuses on indoor positioning , mobile and context-aware computing , urban computing , and simulation of wireless networks . Research Interests : Indoor Positioning, Mobile Computing, Urban Mobility, Sensor Networks, Wi-Fi and UWB Localization, Smart Cities. Leadership : Coordinated the Computer Communications and Pervasive Media Group (2008-2016), Scientific Committee member (Director of MAP-tele PhD program in multiple terms), and leads the Master in Telecommunications and Informatics since 2021. Publications : Over 100 papers, including IEEE Transactions and Sensors journal articles, with an h-index of 23 and 2136 citations. Awards : First and second prizes in EvAAL-ETRI Indoor Localization Competitions (2015, 2016, 2017).
Maria Leonilde Rocha Varela is an Associate Professor with Habilitation at the School of Engineering, University of Minho, Portugal, where she also serves as a Senior Researcher at the Algoritmi Research Centre. She has been an integrated member of the Algoritmi Research Centre since 2012 and works in the Department of Production and Systems. Dr. Varela earned her degree in Production Engineering from the University of Minho in 1994, completed a Master's in Computer Integrated Production at DPS-UMinho in 1999, and received her Ph.D. in Production and Systems from the University of Minho in 2007. Her primary research focuses on Manufacturing Management, particularly Production Planning, Control and Optimization, and Collaborative Paradigms, Networks and Decision Making Models. She maintains extensive international collaborations with institutions worldwide including the National Institute of Industrial Engineering, VSB-Technick Univerzita Ostrava, University of Belgrade, and others. Her research spans Web Applications and Services for supporting Engineering and Production Management, with increasing emphasis on Artificial Intelligence, Robotic Process Automation, and Industry 4.0/5.0 applications. She has made significant contributions to scheduling algorithms, optimization techniques, and decision support systems for manufacturing environments. Analysis of her recent publications reveals a strong trend toward integrating Artificial Intelligence with traditional manufacturing processes, particularly in Robotic Process Automation applications. Her research increasingly focuses on sustainable manufacturing practices, with numerous publications addressing energy efficiency, environmental sustainability, and resource optimization. There is a clear emphasis on multi-objective optimization approaches to solve complex manufacturing problems, particularly in distributed job shop scheduling. Her work demonstrates an evolution from traditional production planning methods to more advanced AI-driven approaches for Industry 4.0 and 5.0 environments. Dr. Varela has held significant academic leadership roles, currently serving as the director of the master's course in Engineering and Quality Management at DPS-UMinho. She previously coordinated the industrial management and systems subgroup from 2012 to 2021 and was part of the steering committee for the master's course in systems engineering between 2016 and 2019. She has successfully supervised more than 70 MSc projects, with over 15 currently ongoing, focusing on Production and Systems Engineering. Her supervision encompasses collaborative management models, traditional decision approaches, and web-based platforms incorporating AI techniques. She coordinates research projects including 2 concluded Ph.D. projects and 6 ongoing ones. She collaborates as a research member in several R&D projects with national and international industrial enterprises and institutions, and in international Erasmus projects. Dr. Varela is an active participant in the academic community, serving on editorial boards of several international journals and as a member of organizing and scientific committees for numerous international conferences. She is a member of several prestigious research networks including the Euro Working Group of Decision Support Systems (EWG-DSS), Institute of Electrical and Electronics Engineers (IEEE), Industrial Engineering Network, and the Institute of Industrial and Systems Engineers (IISE).
Ana Paula Mora Tavares is an Assistant Researcher at CICECO-Aveiro Institute of Materials, University of Aveiro, Portugal. She holds a PhD in Chemical Engineering from the University of Aveiro (2006), preceded by a MSc from Federal University of Rio de Janeiro (2000) and a BSc from Estadual University of Rio de Janeiro (1997). Her academic career includes postdoctoral research at LSRE/FEUP (2006–2009) and a Ciência 2008-funded independent position (2009–present). She teaches laboratory classes in Microbial Biotechnology at the University of Aveiro and has been involved in COHITEC’s technology commercialization training. Research Interests: Her work focuses on biomolecules purification (e.g., enzymes, antibodies), ionic liquids, aqueous biphasic systems, nanomaterials, and biocatalysis for organic synthesis. She pioneers applications in enzyme immobilization, anticancer drug development (e.g., L-asparaginase), and eco-friendly bioremediation strategies. Current projects include the InsectERA initiative for circular economy innovation. Awards: 2007 Honourable Mention from Companhia União Fabril for PhD thesis Supervision: 3 PhD students (Ana Filipa Soares Pereira, Ana Isabel Bastos Valente, Ana Sofia Correia Marques) Key Projects: InsectERA (circular economy), COHITEC (technology valorization) Labs/Teams: PATh G5 - Biomimetic Materials Group and L3 Sustainability Unit at CICECO. Her research leverages interdisciplinary approaches, combining chemical engineering with nanotechnology for biomedical and environmental applications.
Vitor Sencadas is an Associate Professor at the Department of Materials and Ceramic Engineering, University of Aveiro, Portugal. His research focuses on advanced materials for biomedical, energy, and environmental applications, with a strong emphasis on nanotechnology and additive manufacturing. He leads projects such as 3S4Leather, addressing leather waste valorization and sensorized additive manufacturing solutions. He has supervised multiple PhD students and contributed to over 150 publications in journals like Advanced Functional Materials and ACS Applied Materials & Interfaces. His research interests include biomimetic materials, flexible electronics, wearable sensors, and sustainable materials. Notable achievements include developing piezoelectric and luminescent solar concentrators, and contributions to Stanford’s 2022/2024 World Top 2% Scientists list. His work bridges materials science with practical applications in healthcare, energy harvesting, and environmental biorefinery processes. He collaborates extensively with CICECO – Aveiro Institute of Materials, contributing to interdisciplinary research and innovation in smart materials and biomedical devices. His group explores multifunctional materials for healthcare monitoring, energy systems, and sustainable manufacturing.
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.
Milton de Sousa is an Associate Professor at Nova School of Business & Economics in the Department of Management and Organizations, where he served as director of international development and academic director of CEMS MiM. He co-founded the Leadership for Impact Knowledge Center and brings nearly 30 years of professional experience spanning engineering, consulting, and entrepreneurship, including 14 years in the Netherlands. His educational background includes: PhD in Management from the Rotterdam School of Management, Erasmus University (2014) MBA with Distinction from the University of Bradford (2003) Electrical and Computer Engineering from the University of Porto (1998) De Sousa's research centers on servant leadership, meaning in organizations, and the impact of Artificial Intelligence on work and management. He investigates how leadership and technology intersect to shape the future of work, with emphasis on complex adaptive systems and innovation. His work bridges academic theory with practical executive applications through Nova SBE's Leadership for Impact Knowledge Center. Analysis of his 15 most recent publications reveals consistent focus on servant leadership across diverse contexts including cross-cultural studies, organizational change, and AI integration. His research frequently addresses societal challenges, ethical dimensions of leadership, and practical frameworks for managing paradoxes in complex environments. He directs multiple AI-focused executive programs including Managing with AI and AI for HR and Talent Management. As co-host of a leadership podcast at Observador and frequent media contributor, he actively disseminates research insights to broader professional audiences.
José Manuel Ferreira Machado is a Full Professor at the Department of Informatics, School of Engineering, University of Minho, where he has been affiliated since 1988. His research integrates Artificial Intelligence, Medical Informatics, and Data Mining, with applications in healthcare, industrial systems, and public services. He founded ALGORITMI's 'Knowledge Engineering' group and served as Director of the ALGORITMI R&D Center (2018-2024). Education: Agregado in Informatics (AI), Universidade de Trás-os-Montes e Alto Douro (2011-2012) PhD in Informatics (AI), Universidade do Minho (1995-2002) Licenciatura in Systems and Informatics Engineering, Universidade do Minho (1982-1988) Research Interests: Machado's work focuses on intelligent systems for healthcare (e.g., AIDA medical platform), industrial automation, and smart cities. He emphasizes real-world applications, including clinical decision support, predictive maintenance, and sustainable urban infrastructure. Publications: His recent articles (2022-2025) demonstrate a strong focus on healthcare AI (e.g., disease prediction, COVID-19 analytics) and smart systems (e.g., traffic optimization, energy sustainability), utilizing data mining and machine learning. Awards: Hospital of the Future (2007, 2008, 2009) Good Practices in Health (2014) Portugal Digital Awards (2016) IHF Awards (2021) Advising & Grants: Supervised 16 PhD, 101 MSc, and 4 post-doc students. Leads sub-projects in PRR agendas GReenAuto and Be.Neutral. Secured funding from FCT, EU, and industry partners (e.g., Bosch) for 50+ projects. Labs & Teams: Coordinates the 'Knowledge Engineering' research group at ALGORITMI, focusing on intelligent decision support and interoperability in healthcare and industry.
João Magalhães is a Full Professor in the Department of Computer Science at the Faculty of Science and Technology, Universidade NOVA de Lisboa, Portugal. He serves as Group Coordinator of the Multimodal Systems Group at the NOVA Laboratory for Informatics and Computer Science and leads the NOVASearch research group at FCT/UNL. His research focuses on vision and language information understanding, with particular emphasis on multimodal information understanding, multimodal conversational AI, multimedia search and summarization, temporal and memory models, and social media information quality. His work spans both theoretical foundations and practical applications across web, social media, and clinical domains. Analysis of his recent publications reveals a strong trajectory in multimodal conversational AI systems, with increasing sophistication in handling both voice and visual inputs. His research has evolved from foundational work in cross-modal embeddings to advanced large language models for dual-goal conversational settings, demonstrating consistent innovation in the field of multimodal understanding. 1st prize winner of the second Alexa TaskBot Challenge (2023) Award-winning solution in the Alexa TaskBot Challenge (2022) Best paper award at the Portuguese NLP conference (PROPOR) (2020) Best paper nominations at ACM conferences (2018) Professor Magalhães has advised numerous graduate students through the NOVASearch group and has secured substantial research funding through projects including Amazon Alexa TaskBot Challenge (2021-2023), iFetch (2020-2023), SmartyFlow (2017-2020), COGNITUS (2016-2019), GoLocal (2016-2020), QSearch (2012-2015), ImTV (2010-2013), and CS4SE (2010-2013). He actively serves the research community as ACM Multimedia 2026 Program Committee Chair and has held leadership roles in numerous conferences including ACM Multimedia 2022 General Chair and ECIR2020 General Chair. He leads the Multimodal Systems Group within the NOVA Laboratory for Informatics and Computer Science, where his team develops cutting-edge solutions for multimodal understanding with applications in conversational AI, multimedia search, and social media analysis.
Rui Manuel Teixeira Santos Dias is a Postdoctoral Fellow in Finance at the State University of Feira de Santana (Brazil) , affiliated with the Department of Exact Sciences. His work bridges finance, econophysics, and sustainability, focusing on market efficiency, cryptocurrency dynamics, clean energy investments, and commodity market interdependencies. Education : PhD in Management (University of Évora, Portugal), DEA in Financial Economics (University of Extremadura, Spain) Research Themes : Cryptocurrency markets, sustainable finance, portfolio optimization, oil-currency nexus, and behavioral finance His recent articles analyze multifractal efficiency in green investing, cross-market contagion, and the role of precious metals as safe havens in clean energy portfolios. Publications span journals like Fractals , PLOS ONE , and Energy Procedia , with a strong emphasis on quantitative and econophysics approaches. No explicit scientific awards are mentioned in the provided data.
J.F. Matos is a Professor at the Faculty of Social Sciences, Education and Administration (FCSEA) of Lusophone University, Portugal. His work focuses on education, pedagogy, teacher training, and digital education , with a strong emphasis on integrating technology into teaching practices and curriculum design. Education: PhD in Mathematics Education, University of Lisbon (1988–1991) Research Interests: Matos is active in research methodology, educational technology, virtual reality pedagogy, and policy analysis . His projects like ReMASE and EDU-LAB explore innovative frameworks for teacher training, work-based learning, and labor market alignment. Scientific Output Trends: Recent work includes immersive virtual reality pedagogical models, digital textbook implementation in Madeira, and collaborative research on educational methodologies in Portugal. His publications span peer-reviewed journals, commissioned reports, and books , reflecting interdisciplinary collaborations. Projects: EDU-LAB (2022–2027): Focus on work-based learning and investment policy. ReMASE (2022–2023): Analyze research methods in advanced education studies. Collaborations: Matos works with institutions like the European Research Executive Agency and COFAC , leveraging international networks to address educational challenges in Portugal and beyond.
Rui Prada is a Full Professor at the Department of Computer Engineering, Instituto Superior Técnico, University of Lisbon. His research focuses on Artificial Intelligence , Game Development , and Human-Machine Interaction , with emphasis on socially intelligent agents and affective computing. His work explores Multi-Agent Systems , XR Testing , and Educational Game Design , particularly for neurodiverse populations. Recent publications highlight Procedural Content Generation , Human-AI Collaboration , and Social Power Dynamics in agent-based systems. Scientific contributions include the Best Poster Award and leadership in projects like PartiPlay and RAGE , advancing Inclusive AI and Game Technologies Marketplace frameworks.
Jan Theeuwes is a full Professor and current Head of Department at Vrije Universiteit Amsterdam's Department of Cognitive Psychology. With over 250 peer-reviewed publications, he leads research in visual attention, statistical learning, and distractor suppression mechanisms. His work bridges fundamental cognitive science with practical applications in road design and human factors. His educational background includes: BSc in Mechanical Engineering (1981) BSc and MSc in Experimental Psychology with highest honors (cum laude) from Tilburg University (1987) PhD from Vrije Universiteit with highest honors (1992) Theeuwes' research focuses on fundamental knowledge acquisition regarding perception, attention, memory, and emotion using diverse methodologies including behavioral measurements, eye tracking, fMRI, psychophysiological recordings, patient studies, and computational modeling. His specific contributions span attentional and oculomotor capture, working memory, multimodal integration, remapping, face perception, visual search, emotion processing, unconscious processing, the attentional blink, reward processing, and applied road design research. His recent work demonstrates how statistical learning shapes attentional selection by creating predictive models of where and when to expect relevant information. Analysis of his recent publications reveals a strong focus on the neural and behavioral mechanisms of learned distractor suppression, with particular emphasis on how statistical regularities in the environment shape attentional priority maps. His research increasingly integrates electrophysiological methods with behavioral paradigms to uncover the temporal dynamics of attentional selection and suppression processes. His notable scientific achievements include: Election to the Royal Dutch Academy of Science (KNAW) in 2010 Receiving the first Bertelson Award for outstanding psychological research from the European Society for Cognitive Psychology in 2001 Serving as president of ESCOP (European Society for Cognitive Psychology) from 2016 to 2018 Theeuwes serves as principal advisor to the Dutch Department of Transportation (Rijkswaterstaat) regarding road design and signing. In 2023, he co-founded Attention Architects with two former PhD students, a company applying eye-tracking research to practical settings. His work has received substantial research funding supporting his investigations into attentional mechanisms and their real-world applications. Theeuwes has established collaborations across multiple institutions and mentored numerous researchers who have gone on to establish their own careers in cognitive science. He leads the Cognition Team at Vrije Universiteit Amsterdam, which investigates fundamental attentional processes using cutting-edge methodologies. The team maintains strong connections with applied research settings through projects with government agencies and industry partners, particularly in transportation safety. Their current work focuses on how statistical learning dynamically shapes attentional selection in complex visual environments.
Minjoon Seo is an Associate Professor at KAIST AI, Korea Advanced Institute of Science and Technology. He holds a BS in Electrical Engineering & Computer Science from UC Berkeley and previously worked as a software engineer at Oracle. His research focuses on natural language understanding, large-scale end-to-end question answering, and multimodal AI systems combining language and vision. Research Interests: His work spans Natural Language Processing, Machine Learning, Deep Learning, and Language-Vision integration. He develops neural network architectures for machine comprehension and multimodal understanding, with applications in question answering systems and diagram interpretation. Publications: His research demonstrates a consistent focus on multimodal AI systems, with recent works advancing neural approaches to machine comprehension and diagram understanding. Publications show strong emphasis on NLP-CV integration and practical applications in healthcare and education. Awards: Best Paper Nomination at UbiComp 2014 for BiliCam research Professional Activities: Maintains active open-source contributions through GitHub repositories related to question answering systems and NLP research. Co-founded Config Intelligence while maintaining academic position.
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.
Paulo Manuel Antunes Mendes Gordo is an Assistant Professor at the University of Coimbra’s Faculty of Science and Technology since 2005. He holds a PhD in Experimental Physics (2005, University of Coimbra) and a Bachelor’s degree in Physics (1988, University of Coimbra). His research focuses on defects in materials, utilizing positron annihilation techniques, and spans fields like condensed matter physics, polymer science, and nuclear medicine. Key research interests include characterizing defects in semiconductors, polymers, and ceramics using advanced spectroscopic methods. He has explored topics such as hydrogen interactions in zirconia, drug delivery systems via polyurethane nanotechnology, and radiation detection instrumentation for medical imaging. His work bridges computational modeling and experimental validation, addressing challenges in material stability and structure-property relationships. Publications trends reflect a strong emphasis on materials science, with contributions to journals like Physical Review B , Journal of Pharmaceutical Sciences , and Physica Scripta . Research often intersects interdisciplinary applications, such as medical imaging devices and polymer-based drug carriers. No scientific awards are explicitly mentioned in the provided information. His career includes prior roles as a junior researcher at the University of Aveiro (1990–1992) and early-career positions at the University of Coimbra (1993–2005). No grants or lab affiliations were detailed in the text, though collaborations with institutions like the University of Aveiro and international teams are evident from co-authorship patterns.
