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Julien DiogoView profile

Adjunct Professor

• Neuromarketing
• Consumer Behavior
• Applied Cognitive Neuroscience
• +5 more

Julien Diogo serves as Adjunct Professor at Polytechnic Institute of Viseu's School of Education of Viseu since 2020, teaching Market Analysis, Consumer Behavior, Strategic Communication, and Innovation/Creativity courses. He concurrently holds Visiting Professor positions at ISAG (Higher Institute of Administration and Management) since 2018 for Executive MBA programs and was Professor of Organizational Communication at ISCA-UA (2022-2023). His academic roles extend to Visiting Facilitator positions at Brazil's Personal Branding Academy and ISLA's Postgraduate Program in Innovation. His educational background includes: PhD in Communication Sciences (in progress, 2023-2026) at University of Coimbra Specialization in Teacher and Trainer Training (2022-2023) from Employment and Training Institute of Braga Marketing Specialist title (2019) from Polytechnic Institute of Viseu Master's in Communication and Marketing (2010-2012) from Polytechnic Institute of Viseu (Final Grade: 17/20) Bachelor's in Social Communication (2005-2008) from Polytechnic Institute of Viseu (Grade: 17/20) Diogo's research integrates neuromarketing with consumer behavior analysis, focusing on emotional responses in digital environments, Generation Z consumption patterns, and neuroscience applications in place branding. His work examines how cognitive processes influence purchasing decisions through physiological measurements and behavioral experiments, particularly investigating caffeine's neuropharmacological effects on consumer arousal and shop window design's attentional impact. He bridges theoretical neuroscience with practical marketing strategy development. His publication trajectory reveals increasing focus on digital-emotional consumer interfaces, with recent work analyzing pandemic-era behavior shifts and Gen Z's narrative processing. Key thematic clusters include neuromarketing validation in retail architecture, emotional sustainability in e-marketplaces, and neuroscientific foundations of territorial branding, demonstrating consistent application of cognitive neuroscience to contemporary marketing challenges. Scientific recognition includes: 2008 Academic Merit Award for Best Social Communication Student (Polytechnic Institute of Viseu) 2021 Nomination for Global Teacher Prize Portugal Diogo actively supervises master's research including thesis on territorial brand communication (2024), language informality in digital contexts (2024), and Apple's Lovemarks strategy for Generation Z (2024). He contributes to research projects like INOV C+ Intelligent Innovation Ecosystem (2024-present) and co-orientated neuromarketing studies on advertising reception decoding (2020). His academic service includes peer review for IGI Global and International Journal of Marketing. Through his dual leadership as CCO of ICN Agency (neuromarketing consultancy), co-director of PsicoSoma (publishing/training), and expertMind (LMS platform), Diogo maintains robust industry-academia integration, developing neuromarketing frameworks applied across retail, urban planning, and digital experience design contexts.

• Human-Machine Interaction
• User Experience
• Law and Rights in the Digital Society
• +7 more

Nuno Guimarães is a Full Professor at ISCTE – University Institute of Lisbon, affiliated with the Department of Information Science and Technology in the School of Technology and Architecture. He is also an Integrated Researcher at ISTAR-Iscte, where he leads the 'Digital Living Spaces' research group. He previously served as Dean of the Faculty of Sciences at the University of Lisbon (2003–2009), Pro-Rector (2012–2013), and Vice-Rector (2014–2018) at ISCTE-IUL, demonstrating extensive academic leadership. Aggregation in Computing, University of Lisbon (1999) PhD in Electrical and Computer Engineering, Instituto Superior Técnico, Technical University of Lisbon (1992) MSc in Electrical and Computer Engineering, Instituto Superior Técnico (1987) BSc in Electrical Engineering, Instituto Superior Técnico (1983) His research focuses on human-machine interaction, user experience, and the intersection of digital technologies with law, rights, and cultural diversity. He explores how technology can be designed to be more inclusive, ethical, and cognitively supportive, often using neurophysiological methods such as EEG to assess usability and mental workload. His recent publications (2024–2009) show a consistent trajectory in interdisciplinary research combining computer science, cognitive science, and legal informatics. Key themes include data privacy in microservices, normative systems in digital society, EEG-based usability analysis, and interactive learning environments. The works demonstrate a strong emphasis on practical tools, real-world applications, and the societal implications of digital technologies. ACM Senior Member (since 2012) Chair of the Board of ISOC (PT) (2021–2025) Guimarães has held numerous academic management roles, including Director of ISTAR-Iscte and the Master’s program in Information Systems Management. While no direct student advising list is provided, his extensive collaborations and leadership in research projects suggest active mentorship. His work bridges technical innovation with social responsibility, particularly in digital rights and inclusive design. He has led and contributed to research in areas such as interactive architecture, media façades, digital talking books, and judicial dialogue systems. His team, 'Digital Living Spaces,' focuses on creating intelligent, adaptive environments that respond to human behavior and cognitive states, integrating insights from architecture, computing, and neuroscience.

• Brain-Computer Interfaces
• Virtual Reality
• Neurorehabilitation
• +5 more

Athanasios Vourvopoulos is an Assistant Professor at the Department of Bioengineering, Instituto Superior Técnico (University of Lisbon). He leads research in Brain-Computer Interfaces (BCI), Virtual Reality (VR), and neurorehabilitation, focusing on applications for stroke recovery and neurological disorders. His work integrates EEG neurofeedback, neuromodulation, and embodied VR to enhance clinical outcomes. He teaches courses such as Fundamentals of Bioinstrumentation and Introduction to Biomedical Engineering. Research Interests Brain-Computer Interfaces Neurorehabilitation EEG Neurofeedback Neuromodulation techniques Human-Machine Interaction Assistive technologies His research emphasizes translating neurotechnologies into clinical settings, with studies on BCI-VR systems for motor recovery in stroke patients and EEG-based action anticipation in robotics. Recent work includes multimodal neuroimaging (EEG-fMRI) and open-source tools like NeuXus for real-time artifact reduction. Awards Early Career Investigator Award , International Society for Virtual Rehabilitation (ISVR, 2022) Diploma of Excellence in Teaching , Instituto Superior Técnico (IST, 2023) He collaborates with the Institute of Systems and Robotics (ISR-Lisbon) and has published extensively on BCI-VR integration, neuromodulation, and neurorehabilitation outcomes. His labs focus on developing embodied VR systems and BCI-driven therapies for motor impairment recovery.

• Power Electronics
• Digital Signal Control
• Electric Mobility
• +12 more

Vitor Duarte Fernandes Monteiro is a Senior Researcher and Invited Professor at the Industrial Electronics Department of the School of Engineering, University of Minho, Portugal. He is a member of the IE R&D Group at Centro ALGORITMI, where he conducts research in power electronics and energy systems. His work focuses on the intersection of power electronics, renewable energy integration, and electric mobility. Dr. Monteiro received his Ph.D. in Power Electronics and Energy Systems in 2016 and his M.Sc. in Industrial Electronics and Computer Engineering in 2010, both from the University of Minho, Portugal. His research interests span a wide range of topics in power electronics and energy systems, with particular focus on Power Electronics Converters, Digital Signal Control, Electric Mobility, Renewables, Hybrid AC/DC Grids, Power Quality, Power Conditioners, Solid-State Transformers, Energy Efficiency, Wireless Power Transfer, Railway Systems, Energy Storage Systems, and Smart Grid applications. His work emphasizes practical implementation and experimental validation of novel power electronic solutions for modern energy challenges. Analysis of Dr. Monteiro's recent publications (2023-2025) reveals a strong focus on advanced power converter topologies for renewable energy integration, electric vehicle charging infrastructure, and smart grid applications. His research shows a clear trend toward unified power quality solutions, bidirectional power flow control, and innovative approaches to hydrogen energy systems. The interdisciplinary nature of his work bridges traditional power electronics with emerging applications in transportation electrification and smart city infrastructure. Dr. Monteiro serves in several editorial capacities, demonstrating recognition by his peers: Associate Editor of the Journal IET Power Electronics Associate Editor of the Journal IEEE Latin America Transactions Topic Editor of the Journal MDPI Electronics Editorial Board Area Editor of the Journal EAI Endorsed Transactions on Energy Web Associate Editor of the IEEE Transportation Electrification Community eNewsletter Guest Editor for multiple journals including IET Power Electronics, Sustainability, and Energies As a Senior Researcher at Centro ALGORITMI, Dr. Monteiro leads research projects focused on power electronics applications for energy systems. His work involves close collaboration with industry partners and participation in European research initiatives. He mentors junior researchers and contributes to the development of innovative power electronic solutions with real-world applications. Dr. Monteiro is actively involved with the Group of Energy and Power Electronics (GEPE) at the University of Minho, where he contributes to both research and educational activities. His work with GEPE focuses on experimental validation of novel power electronic converters and their application to modern energy challenges including renewable integration, electric mobility, and smart grid technologies.

Carla Pais-VieiraView profile

Assistant Professor

• Brain-Machine Interfaces
• Neurorehabilitation
• Spinal Cord Injury
• +5 more

Carla Pais-Vieira is an Assistant Professor of Psychology at the Nursing School of the Catholic University of Portugal (UCP) and Coordinator Researcher of the Brain-Machine Interface Research Lab (BMIsLab) at the Center for Interdisciplinary Research in Health (CIIS). Her academic journey includes a PhD from Duke University's Center for Cognitive Neuroscience, where she studied neural mechanisms of memory, perception, attention, and emotions. Dr. Pais-Vieira's research focuses on the application of Brain-Machine Interfaces to healthcare, with particular emphasis on neurorehabilitation for spinal cord injury patients. Her work spans both basic and translational research, developing innovative approaches for detection, prevention, assessment, diagnostics, rehabilitation, and disease management. She has pioneered the development of a thermotactile stimulation device (patented) and created robotic neurorehabilitation protocols tailored for individuals with Spinal Cord Injury. Her recent publications demonstrate a strong trend in applying advanced neurotechnology to rehabilitation challenges, particularly in spinal cord injury recovery and sensory perception. Her work integrates multiple disciplines including neuroscience, engineering, and clinical practice to develop practical healthcare solutions. Dr. Pais-Vieira has received notable recognition for her work: Corruption Prevention Prize from the Portuguese Court of Auditors Prémio de Excelência pela Secção Regional do Norte da Ordem dos Enfermeiros (December 9, 2023) Winner of the European Institute of Innovation & Technology (EIT) Health Jumpstarter Grand Final (2022) As an academic supervisor, Dr. Pais-Vieira mentors MSc and PhD students in psychology and neuroscience. She has secured over €300,000 in competitive research funding and since 2022 has been responsible for Monitoring and Evaluation of €1,240M in European-funded health system investments through Portugal's National Health Service. Dr. Pais-Vieira leads the Brain-Machine Interface Research Lab (BMIsLab), where her team develops cutting-edge technologies including integrated exoskeletons, virtual reality applications, and advanced neuroimaging techniques for healthcare solutions. The lab's work bridges neuroscience, engineering, and clinical practice to address real-world healthcare challenges.

• Robotics
• Mobile Robots
• Intelligent Vehicles
• +3 more

Urbano J. Nunes is a Full Professor at Coimbra University and Senior Researcher at the Institute for Systems and Robotics (ISR-UC) , where he coordinates the Human-Centered Mobile Robotics Lab . His career spans national and international funded projects in mobile robotics , intelligent vehicles , and human-machine interfaces , with over 160 publications in journals and conferences. He has supervised 13 completed PhD students and currently guides 4 more. Key Roles : IROS Advisory Committee (2013-), IEEE ITS Society Vice President (2011-2012), IEEE RAS Technical Committee Cochair (2006-2011) Editorial Leadership : Associate Editor for IEEE Transactions on Intelligent Vehicles (2015-), former Associate Editor for IEEE Transactions on Intelligent Transportation Systems (2007-2016) Research Interests focus on human-centered mobile robotics , including mobile service robotics , assistive robotics , autonomous vehicle navigation , pattern recognition , and machine learning . His recent work involves 3D LiDAR processing, multispectral imaging in agriculture, and brain-computer interface (BCI) reliability improvements. Scientific Awards : IEEE ITS Society Outstanding Service Award (2006) IEEE RAS Most Active Technical Committee Award (2006) NiSIS Competition Winner for Automotive Dataset Analysis (2007) Grant Leadership includes 33 funded projects from 2001 to 2025 across domains like digital agriculture (GreenBotics), green automotive innovation (GreenAuto), and telerehabilitation platforms (INPACT), with international collaborations spanning EU programs and Portugal’s FCT grants. Labs & Teams : Coordinates the Human-Centered Mobile Robotics Lab at ISR-UC, integrating cross-disciplinary teams in robotics, AI, and BCI research. His group partners with institutions like CERN and European Commission JRC in cybernetic transportation systems.

Alfonso RenartView profile

Professor

• Decision Making
• Computational Neuroscience
• Neural Basis of Cognition
• +3 more

Alfonso Renart is a Principal Investigator at the Champalimaud Foundation's Centre for the Unknown in Lisbon, Portugal. He leads the Renart Lab, which focuses on understanding the computational processes underlying decision-making and goal-directed behavior through rigorous quantitative investigation of neural mechanisms. Dr. Renart's research employs a multidisciplinary approach combining behavioral analysis, theoretical modeling, electrophysiological recordings, and optogenetic techniques. His lab primarily works with rodent models (rats and mice) to study how external influences and internal processes interact during decision specification. The research sits at the intersection of neuroscience, psychology, and computational modeling, with particular emphasis on teasing apart causal relationships in cognitive processes. Analysis of Dr. Renart's recent publications reveals several key research trajectories. A major theme involves investigating how spontaneous cortical state fluctuations influence perceptual decisions, with findings showing that response outcomes can gate these effects. Another significant contribution relates to neural recording technology, particularly the development and application of Neuropixels 2.0 for high-density, long-term brain recordings. His work also explores fundamental principles like the mechanistic foundation of Weber's law and the state-dependent geometry of population activity in sensory cortical areas. Dr. Renart has mentored numerous graduate students and postdoctoral researchers. His lab includes PhD students from various programs (INDP, INCDP, INPDP) as well as Master's students. Current lab members comprise postdoctoral researchers, research technicians, and students working on diverse projects related to decision neuroscience, reflecting his commitment to training the next generation of neuroscientists. The lab operates within the Champalimaud Centre for the Unknown, a research institution dedicated to advancing knowledge in neuroscience and oncology. Dr. Renart's work has been supported by significant funding sources including NIH grants (R01 DC005787, R01 MH073245), enabling his team to pursue innovative research at the cutting edge of systems and computational neuroscience.

João BarrosoView profile

Associate Professor

• Digital Image Processing
• Accessibility
• Human Computer Interaction

João Barroso serves as Associate Professor with Habilitation at the University of Trás-os-Montes and Alto Douro (UTAD) and Senior Researcher at INESC TEC's Human-Centered Computing and Information Science Centre, where he has been Research Coordinator since October 2012. Previously, he held the position of Pro-Rector for Innovation and Information Management at UTAD from July 2010 to July 2013. His academic credentials include: Doctorate in Electrical Engineering from UTAD (2002) Habilitation in Informatics/Accessibility (2008) Barroso's research centers on Digital Image Processing, Accessibility, and Human-Computer Interaction, with significant extensions into biosignal processing for healthcare applications, machine learning for gaming and autonomous systems, and context-aware architectures for Industry 4.0 environments. His work consistently emphasizes real-world implementation, as demonstrated by his leadership in developing the ElderMind mobile application for cognitive stimulation and portable ECG/EMG acquisition systems. He founded two major conference series: Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion (DSAI, 2006) and Technology and Innovation in Sports, Health and Wellbeing (TISHW, 2016). Analysis of his 15 most recent publications (2024-2025) reveals three dominant research thrusts: (1) Machine learning validation for gaming and autonomous driving (PPO vs. SAC algorithms), (2) High-fidelity biosignal acquisition systems with visual electrode monitoring, and (3) Systematic vulnerability analyses in web/mobile security and context-aware Industry 4.0 architectures. His publications demonstrate a consistent pattern of translating theoretical computing advances into practical health and industrial applications, with 2025 outputs showing particular emphasis on hardware-software integration for telemedicine and production management. Barroso has supervised 40 postgraduate students including Dennis Lourenço Paulino (2024, UTAD) who developed crowdsourcing personalization models and Luís Filipe Jesus Correia (2022, UTAD) who researched Brain-Computer Interfaces. His project portfolio spans 35 research and development initiatives, with recent grants supporting his virtual assistant prototype for Industry 4.0 production environments and high-resolution Bluetooth biosignal modules. He leads the Human-Centered Computing and Information Science Centre at INESC TEC, where his laboratory focuses on prototyping accessible technologies through interdisciplinary teams. Current projects integrate computer vision for elderly care, ROS2 middleware for unmanned vehicle coordination, and semantic interoperability frameworks for digital twins, maintaining his dual focus on theoretical innovation and socially impactful applications.

• Artificial Intelligence
• Cybersecurity
• Security of AI
• +4 more

Isabel Cecília Correia da Silva Praça Gomes Pereira is a Coordinator Professor at the School of Engineering of the Polytechnic Institute of Porto (ISEP), where she serves as Director of the Master on Informatics Engineering and Advisor of ISEP Presidency for R&D. She is also a Senior Researcher at GECAD (Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development), a research unit ranked as Excellent by the Portuguese Science & Technology Foundation. Dr. Praça holds a PhD in Electrical and Computer Engineering - Industrial Informatics from the University of Trás-os-Montes e Alto Douro, and completed her post-doctoral studies in Artificial Intelligence - Multi-Agent Systems with support from the Portuguese National Science Foundation (SFRH/BPD/30111/2006). Her academic journey includes progressive appointments from Assistant to Adjunct Professor and finally to Coordinator Professor at ISEP. Her research focuses on Artificial Intelligence applied to cybersecurity and security of AI , with significant contributions to applying AI in various domains including cybersecurity (projects like AIDA, SAFE, VESTA), industry (SeCoIIA, Cyberfactory), and energy systems (SPET, MAS-Society). She leads a research team at GECAD working on these topics and has strong connections with over 100 companies and technology transfer centers across more than 30 countries. Analysis of her recent publications reveals a strong trend toward AI security, with particular emphasis on adversarial attacks against AI systems, secure implementation of AI in critical domains, and privacy-preserving AI techniques. Her work spans both theoretical foundations and practical applications across multiple sectors including energy, healthcare, and network security, demonstrating her ability to bridge academic research with real-world applications. Dr. Praça has been recognized as an expert by several prestigious organizations including the European Union Agency for Cybersecurity (ENISA), where she contributes to working groups on Security of AI and the European Cybersecurity Skills Framework. She also serves as an expert for NATO's Defence Innovation Accelerator for the North Atlantic (DIANA) and represents ISEP in the European Cybersecurity Organization (ECSO). As an educator, she teaches Machine Learning and Multi-agent Systems in the MSc in AI program, and Security of Communications and Infrastructures in the Cybersecurity branch of the MSc in Informatics. She currently supervises 4 PhD students in AI security and privacy and has guided 45 Master's theses, demonstrating her commitment to developing the next generation of researchers and practitioners in her field. Her research is supported by numerous international and national grants, including multiple Horizon Europe and Horizon 2020 projects where she serves as Principal Investigator or Co-PI. She has participated in over 35 R&D projects totaling significant funding, with a strong track record of translating research into practical applications through industry partnerships.

• Neurosciences
• Psychology
• Cognitive Rehabilitation
• +13 more

Tomaz Miranda da Cunha Saraiva is a researcher affiliated with Universidade Lusófona, with a strong academic background in psychology and neuroscience. He holds a Master's in Psychology, Counseling and Psychotherapy, a Bachelor's in Psychology, and a Master in Creative Games from the University of Salford. His research bridges psychology, cognitive neuroscience, and immersive technologies. Education: Bachelor in Psychology, Universidade Lusófona (2007) Integrated Master in Psychology, Counseling and Psychotherapy, Universidade Lusófona (2008) Master in Creative Games, University of Salford (2010) Postgraduate in Adolescent and Children Psychology Evaluation Technological Specialization Course in Video Game Development His research focuses on virtual reality (VR) applications in cognitive rehabilitation , PTSD treatment , addiction , and neurocognitive assessment . He explores how immersive environments influence memory, attention, and emotional processing. His work integrates eye-tracking, ERP, and behavioral analysis to understand brain-behavior interactions in clinical and non-clinical populations. The 15 most recent publications reveal a consistent trend in using VR for therapeutic and diagnostic purposes, especially in stroke recovery, nicotine craving, and trauma. These works span disciplines including clinical psychology, neuroscience, human-computer interaction, and digital therapeutics, with subfields such as presence in VR, cognitive training, and fear-related attentional bias. Scientific Contributions: Published 4 articles in specialized journals Contributed book chapters on VR/AR in neuroscience and serious games Presented conference papers on VR-based cognitive rehabilitation and frontal brain function assessment Tomaz Saraiva has advised no formally listed students but has led research in VR-based interventions. His work has been supported through academic and possibly institutional grants, though specific funding sources are not mentioned. He is involved in developing virtual environments for cognitive training and psychological assessment, particularly in stroke, TBI, and PTSD contexts. His lab or research team is not explicitly named, but his output suggests collaboration within neuroscience and VR research groups.

• Power Electronics
• Active Power Filters
• Power Quality
• +8 more

Joao L. Afonso is a Full Professor at the Department of Industrial Electronics, Engineering School, University of Minho, Portugal. He has been with the University since 1993 and served as Department Director from January 2017 to January 2021. He is also Vice-President of TMOB-HUB (Transportation and Mobility Research Hub) and coordinates the Group of Energy and Power Electronics (GEPE). His educational background includes a B.Sc. and M.Sc. in Electrical Engineering from the Federal University of Rio de Janeiro, Brazil (1986 and 1991), and a Ph.D. in Industrial Electronics from the University of Minho, Portugal (2000). He received his Habilitation degree in Electronics and Computers Engineering from the University of Minho in 2016. Professor Afonso's research focuses on Power Electronics applications across multiple domains including Power Quality, Active Power Filters, Renewable Energy, Electric Vehicles, Energy Efficiency, Energy Storage Systems, Innovative Railway Systems, Smart Grids, Smart Cities and Aerospace. His work bridges theoretical advancements with practical implementations in sustainable energy systems. His publication record shows a clear trend toward interdisciplinary research connecting power electronics with renewable energy integration, electric mobility, and smart grid technologies. Recent work demonstrates increasing focus on hydrogen applications, wireless power transfer for medical devices, and advanced converter topologies for grid integration. His research shows strong continuity in power quality improvement while expanding into emerging areas like green hydrogen and biomedical applications of power electronics. World's Top 2% Scientists (2021, 2022) IEEE Senior Member (2016) Member of Editorial Boards for MDPI Energies, MDPI Electronics, and EAI Endorsed Transactions on Energy Web Professor Afonso has supervised 17 Ph.D. and 74 M.Sc. theses. He has participated in 32 research projects, coordinating 21 of them. His funding portfolio includes significant projects like DAIPESEV, newERA4GRIDs, Quality4Power, and IN2STEMPO, reflecting strong connections with both national and European funding bodies. His research group GEPE maintains active collaboration with industry partners in the energy sector. As coordinator of GEPE (Group of Energy and Power Electronics), he leads a research team focused on power electronics applications for sustainable energy systems. The group is part of the ALGORITMI research center's thematic line 'Smart Cities and People.' His leadership extends to the TMOB-HUB, where he contributes to transportation and mobility research initiatives at the University of Minho.

• Control Systems
• Structural Systems Theory
• Biomedical Engineering
• +5 more

Sérgio Pequito is an Associate Professor in the Department of Electrical and Computer Engineering at Instituto Superior Técnico, University of Lisbon, and a principal investigator at the Evolutionary Systems and Biomedical Engineering Lab (Institute for Systems and Robotics). His research bridges structural control systems theory with applications in neuroscience and biomedicine. Education: PhD in Electrical and Computer Engineering from Carnegie Mellon University and Instituto Superior Técnico (2014); MSc (2009) and BSc (2007) in Mathematics from Instituto Superior Técnico Research focuses on understanding large-scale systems through structural/parametric analysis, with applications to brain dynamics, personalized medicine, and control of complex networks. Key themes include fractional-order systems, distributed consensus, and brain-machine interfaces. Recent publications analyze fractional-order dynamical networks, controllability metrics, and privacy-preserving control algorithms, reflecting his expertise in both theoretical and applied domains. Keywords: Control Systems, Structural Theory, Biomedical Engineering, Neuroscience. Scientific recognition includes the 2016 O. Hugo Schuck Award (Theory Category) and a 2009 IEEE Conference on Decision and Control Best Student Paper Finalist. He leads interdisciplinary research teams and collaborates on neural engineering projects, particularly in epilepsy treatment and cortical activity modeling.

• Neuroimaging
• Medical Imaging
• Biomedical Engineering
• +3 more

Patrícia Figueiredo is a Full Professor at the Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, and Principal Investigator at the Evolutionary Systems and Biomedical Engineering Lab (LaSEEB) within the Institute for Systems and Robotics (ISR-Lisboa). She holds a DPhil in Neuroimaging from the University of Oxford (2003) and has been a leading figure in biomedical engineering and neuroscience research. Her work focuses on noninvasive neuroimaging techniques, particularly MRI and EEG integration, to study brain function in health and neurological disorders. Education: Bachelor's in Physics Engineering, Instituto Superior Técnico (1996) DPhil in Neuroimaging, University of Oxford (2003) Research interests include cerebrovascular dynamics, multimodal neuroimaging (EEG-fMRI), neuromodulation, and applications in epilepsy, migraine, stroke, and psychiatric disorders. She has supervised over 20 PhD/MSc students and led numerous national/international grants, such as MIG_N2Treat and NeurAugVR. Awards include L’Oréal Portugal’s Women in Science Prize and the António Xavier Prize for her advisory work in MRI research. Teaching responsibilities include courses on Medical Imaging, Neuroimaging, and Neuroengineering. She actively participates in academic governance at IST and holds leadership roles in societies like ESMRMB (Vice-President) and ISMRM’s Brain Function Study Group (Vice-Chair). Labs/Teams: LaSEEB (ISR-Lisboa), collaborations with global institutions like UCL, EPFL, and the Martinos Center for Biomedical Imaging.

Plinio Moreno LópezView profile

Researcher

• Robotics
• Social Robotics
• Deep Learning
• +6 more

Plinio Moreno López is a Researcher at the Faculty of Engineering , University of Lisbon . His work spans robotics, computer science, and neurotechnology, focusing on human-robot interaction, 3D perception, and EEG-based systems. Active in robotics and artificial intelligence research Specializes in multimodal sensing and action recognition Develops socially interactive robotic systems Research interests center around human-robot interaction , deep learning , and 3D object detection . His recent publications demonstrate expertise in knowledge distillation for autonomous systems, cross-view action recognition, and EEG-based interaction models. Collaborations span both robotics and healthcare domains with emphasis on sensor networks and temporal resolution. Scientific contributions include: Advancing social robotics through engagement models Developing EEG-based anticipation frameworks Optimizing 3D perception via knowledge distillation Creating fall detection systems using wrist sensors Building mutual information metrics for robot adaptation Pioneering exocentric-to-egocentric view transitions

Louis Philippe Simões Castelo Branco LopesView profile

Assistant Professor

• Digital Game AI
• Affective Computing
• Human-Computer Interaction
• +4 more

Louis Philippe Simões Castelo Branco Lopes is an Assistant Professor at Lusófona University and a researcher at the Human-Environment Interaction Lab (HEI-Lab). His work focuses on Digital Game AI, Affective Computing, and Human-Computer Interfaces, particularly in virtual cinematic productions. Primary Affiliation: Lusófona University Research Lab: HEI-Lab (Human-Environment Interaction Lab) His research explores emotional input integration in virtual environments, leveraging biofeedback data such as ECG, EDA, and fMRI to adapt game mechanics and 3D spaces. Key projects include REPLAY (European Joint Masters in Games) and Warning Impact (severe weather warning responses in Portugal). The 15 most recent publications highlight trends in Virtual Reality , Indie Horror Game Design , and Physiological Signal Processing . Subfields include biofeedback adaptation, procedural content generation, and affective AI. Scientific Awards: 2024 IEEE Transactions on Games Best Reviewer Award 2023 IEEE Transactions on Games Best Paper Award 2020 IEEE Transactions on Games Honorary Paper Award 2024 IEEE Transactions on Games Best Paper Award Lopes actively reviews for journals like IEEE Transactions on Games and serves on thesis examination committees. His work bridges game development, affective computing, and immersive technology.