جست‌وجوی استاد و پژوهشگر

• Computer Graphics
• Human-Computer Interaction
• Game Design
• +۶ مورد دیگر

Rui Rodrigues is an Associate Professor at the Department of Informatics Engineering within the Faculty of Engineering of the University of Porto (FEUP) . He joined FEUP in 2009 as an Invited Assistant Professor, transitioned to full-time Assistant Professor, and was promoted to Associate Professor in 2023. He also serves as a senior researcher at INESC TEC . Research Interests His research focuses on Computer Graphics , Human-Computer Interaction , and Game Design , with additional expertise in Machine Learning , Cybersecurity , and Energy Systems . His work explores trust models, IoT security, and adaptive energy management. Projects and Leadership He co-leads the GIG group at DEI/FEUP and its labs. As a senior researcher at INESC TEC, he contributes to diverse R&D initiatives. He directed the Multimedia Masters program (2015-2019) and currently directs the Masters in Informatics Engineering and Computing (M.EIC) since May 2023.

• Artificial Intelligence
• Interactive Storytelling
• Games
• +۲ مورد دیگر

Edirlei Everson Soares de Lima is an Assistant Professor at Universidade Europeia – IADE, where he coordinates the Games Development course. His research intersects Artificial Intelligence , Interactive Storytelling , and Game Design , focusing on adaptive narratives and player modeling. Ph.D. in Computer Science, Pontifical Catholic University of Rio de Janeiro (PUC-Rio) M.Sc. in Computer Science, Federal University of Santa Maria (UFSM) B.Sc. in Computer Science, Contestado University (UnC) His research explores Interactive Narratives in digital entertainment, spanning from game AI to virtual reality horror mechanics. Recent work emphasizes Machine Learning for fear modeling and Procedural Content Generation in quests. Publications and teaching roles since 2011 reflect expertise in Game Programming , Player Experience , and Computer Graphics , with notable awards including multiple SBGames Best Paper accolades and ITU honors. Best paper awards at SBGames (2016–2020), ICEC (2015), WebMedia (2014) ITU Honorable Mentions: 'Innovation' (2011), 'Interactivity' (2012) SBGames 2010: Best game and honorable mentions for 'Krimson' He has supervised multiple Master’s students in projects related to Interactive Design , Game Technology , and Narrative Systems , with over a decade of teaching experience across institutions like PUC-Rio and UERJ/IPRJ.

• Data Science
• Machine Learning
• Visual Analytics
• +۷ مورد دیگر

Gabriel César Ferreira Pestana is an Assistant Professor in the Department of Information Systems at Universidade Europeia , with a PhD in Information Systems from the Technical University of Lisbon. His research focuses on Data Science , Visual Analytics , and Context-Aware Systems , particularly in applications for security, healthcare, and business intelligence. He has led international R&D projects like ROCSAFE and TRILLION, developing geospatial dashboards and gamification frameworks for real-time monitoring and decision support. PhD: Technical University of Lisbon His work emphasizes Human-Computer Interaction through innovative graphical interfaces, metadata integration, and dynamic dashboards. Pestana's applied research spans sectors like security (airport environments, community policing) and healthcare (patient monitoring, anxiety detection in older adults). The analysis of publications reveals expertise in Business Process Management , Analytics-as-a-Service , and Enterprise Architecture , with recurring themes in gamification, visual analytics, and situational awareness. Notable contributions include predictive modeling and rule engines for collaborative data analysis. As an educator, Pestana has over a decade of experience teaching informatics and computer science while mentoring master’s theses on topics like situation-awareness solutions and user interaction design. He has coordinated academic events and served as project manager in R&D initiatives.

António Coelhoمشاهده پروفایل

دانشیار

• Computer Graphics
• Virtual Reality
• Serious Games
• +۷ مورد دیگر

António Coelho is an Associate Professor with Habilitation at the University of Porto's Department of Informatics Engineering and a senior researcher at INESC TEC. He coordinates the Computer Graphics and Virtual Environments area within the HUMANISE research group and leads the Doctoral Program in Digital Media. His roles include academic leadership in the European University Alliance for Global Health (EUGLOH). Coelho has been at INESC TEC since 1995 as an Area Manager, focusing on interdisciplinary research projects ranging from EU-funded initiatives to industry collaborations. His teaching spans Computer Graphics, Programming, and Digital Games, reflecting his expertise in Virtual Reality, Serious Games, and Geospatial Systems. Key research interests include procedural modeling, games-based learning, and location-based systems. Over 20 supervised theses demonstrate his mentorship in topics like immersive learning, AR solutions for heritage, and medical applications of serious games. Coelho’s recent work integrates AR/VR into education and healthcare, such as Histopoly (histology teaching) and Spot (melanoma prevention). Collaborative projects like the FRONTOWNS medieval town reconstruction highlight his multidisciplinary approach. He actively contributes to advancing digital media through both academic leadership and cutting-edge research in immersive technologies.

João Barrosoمشاهده پروفایل

دانشیار

• 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.

António Manuel Gonçalves Pinheiroمشاهده پروفایل

دانشیار

• Image Processing
• Multimedia Quality Evaluation
• 3D Imaging Technologies
• +۱ مورد دیگر

António Pinheiro is an Associate Professor in the Department of Physics at Universidade da Beira Interior and researcher at Instituto de Telecomunicações. He specializes in image processing, multimedia quality evaluation, emerging 3D imaging technologies, and medical image analysis. Research interests span: Multimedia quality assessment methodologies Point cloud compression and processing Medical image analysis for diagnostic applications JPEG standardization and emerging imaging formats 5G multimedia streaming technologies He has received multiple scientific awards including: 2022 Best Paper at 3D Imaging and Applications 2020 Award-winning ETRI Journal Papers 2014 Top 10% Paper Award at IEEE MMSP As director of the 'Eletrónica Digital: Circuitos e Sistemas' program, he teaches courses on digital systems, microprocessors, and signal/image processing. He actively contributes to ISO/IEC JPEG standardization as Communication Subgroup chair.

• Software Engineering
• Software Quality
• Code Smells
• +۷ مورد دیگر

José Pereira dos Reis is an Assistant Professor in the Department of Information Science and Technology at ISCTE - University Institute of Lisbon, where he contributes to both teaching and research. He is also an Associate Researcher at ISTAR-Iscte, a research center focused on Information Sciences, Technologies, and Architecture. His work bridges software engineering with data science and human-centric development practices. His educational background includes a PhD in Information Science and Technology (2022), a Master’s in Computer Engineering (2008), and dual Bachelor’s degrees in Electrical Engineering and Electronic and Telecommunications Engineering from ISEL (1991, 1994). PhD in Information Science and Technology, ISCTE-University Institute of Lisbon, 2022 Master’s in Computer Engineering, FCT-UNL, 2008 Bachelor’s in Electrical Engineering - Systems and Communications, ISEL, 1994 Bachelor’s in Electronic and Telecommunications Engineering - Digital Systems, ISEL, 1991 His research interests center on Software Engineering , with a focus on Software Quality , Code Smells , and their detection through Machine Learning and collective intelligence . He explores Scientific Workflow Management Systems as tools for enabling non-programmers in data science, advocating for visual programming and parameterized templates to improve accessibility and reuse. His work also extends into Process Mining and Software Development Analytics , analyzing team efficiency and refactoring practices. The recent publications reflect a strong trend in empirical and systematic studies on code quality, visualization, and workflow systems. He frequently collaborates with researchers like F. Brito e Abreu and G. Figueiredo Carneiro, contributing to high-impact journals such as Archives of Computational Methods in Engineering and Empirical Software Engineering . His work combines technical rigor with human-centered design principles. He has been involved in research projects including: DataScience4NP : Exploring visual programming to enable non-programmers in data science using scientific workflow systems. SUSTENTURIS : Focused on sustainability and authenticity in tourism, developing tools for certification and marketing sustainable tourism products. José Pereira dos Reis supervises Master’s students, currently guiding two dissertations on Deteção de Code Smells and IDE Plugin for Metrics Collection from Java Code . He teaches courses such as Software Engineering , Software Architecture and Design , Algorithm Design and Analysis , and Object-Oriented Programming across undergraduate and graduate programs in Computer Engineering and related fields. He is affiliated with research platforms including Scopus, ORCID, Google Scholar, and ScienceVitae, and his work is widely cited across academic databases.

• Multi-Robot Systems
• Robotics
• Cooperative Robotics
• +۷ مورد دیگر

Luís Henrique Ramilo Mota is an Assistant Professor in the Department of Information Science and Technology (ISTA) at ISCTE – Instituto Universitário de Lisboa. His research lies at the intersection of robotics, multi-agent systems, and artificial intelligence, with a strong focus on cooperative robotics and robotic soccer applications. His primary research interests include: Multi-Robot Coordination Setplays-based Planning Ontology Engineering for Agent Systems Semantic Web Technologies RoboCup Simulation and Mixed Reality Distributed Autonomous Systems Mota’s recent scholarly work centers on developing flexible coordination mechanisms for robotic teams, particularly through the Setplays framework, enabling robust and dynamic behavior in competitive environments like RoboCup. His publications span high-impact journals such as Data and Knowledge Engineering and Mechatronics , as well as top-tier conferences including AAMAS and IEEE RAM. His research integrates software architecture, communication protocols, and AI planning to solve real-world coordination challenges in autonomous systems. Scientific Contributions: Developed the Setplay framework for multi-robot coordination Contributed to ontology modeling for multi-agent systems (O3F) Authored multiple RoboCup team description papers for FC Portugal Pioneered work on open, fault-tolerant robotic architectures Advising and Collaborative Research: While no formal students are listed, Mota has collaborated extensively with researchers such as Luís Paulo Reis, Nuno Lau, and Fernando Almeida on robotic soccer and semantic web projects. His work often involves team-based research initiatives, particularly within the RoboCup community, where he contributes to both simulation and physical visualization leagues. Laboratories and Research Teams: Mota is actively involved with the FC Portugal RoboCup team, contributing to both the 2D simulation and mixed reality competitions. His work supports the development of cooperative strategies and communication frameworks in multi-agent robotic systems.

• Visual Analytics
• Big Data
• Software Engineering
• +۷ مورد دیگر

Adriano Lopes is an Invited Assistant Professor at Iscte - Instituto Universitário de Lisboa, affiliated with the Department of Information Science and Technology within the School of Technologies and Architecture. He is also an Associate Researcher at ISTAR-IUL, the university's research center in Information Sciences, Technologies, and Architecture. His academic work spans software systems engineering, visual analytics, and big data technologies. PhD in Computer Science – University of Leeds, UK (1999) Master’s in Computer Science – University of Coimbra (1993) Bachelor’s in Electrical Engineering (Computer Science branch) – University of Coimbra (1986) Postgraduate studies in Financial Analysis – Technical University of Lisbon, ISEG (2013) Adriano Lopes’ research focuses on visual analytics, big data, software engineering, and computer graphics, with a strong emphasis on data visualization and its applications in domains such as smart tourism and urban planning. His work integrates human-centric design with advanced computational techniques to support decision-making in complex systems. His recent publications highlight a shift toward applied research in digital transformation for sustainable tourism, particularly through spatiotemporal visualization of tourism crowding and carrying capacity modeling. These works demonstrate a consistent trend in leveraging data-driven platforms for real-world societal challenges, especially in the context of post-pandemic recovery and sustainable development. Adriano has supervised numerous Master’s students at both Iscte and Universidade Nova de Lisboa, with thesis topics covering sentiment analysis, GPU-based rendering, anomaly detection, and tourism flow forecasting. He has participated in EU-funded research projects such as RESETTING, which aims to relaunch sustainable tourism models through digitalization. His academic service includes organizing roles in major visualization conferences like EUROVIS 2006 and the Eurographics UK Conference. He has been actively involved in research labs and teams including ISTAR-IUL and CITI (research center at FCT/UNL), contributing to interdisciplinary projects that bridge computer science with architecture, telecommunications, and tourism. His work reflects a strong commitment to collaborative, applied research with societal impact.

• Game Design
• Animation
• Edutainment
• +۳ مورد دیگر

João Alves De Sousa is a researcher at Lusophone University of Porto, specializing in game design, animation, and edutainment. He directs the Video Games and Multimedia Applications degree program, focusing on integrating project-based learning methodologies and multidisciplinary collaboration. His work bridges psychology, health education, and virtual reality through projects like VR Nmesis and Emotion Recognition Assessment. PhD in Science and Technology of the Arts (Interactive Art) Master in Digital Animation Licenciatura in Communication Design His research spans virtual reality applications for psychological training, emotion recognition technologies, and health-focused educational tools. Key projects include VR Decision Making Training (2020), Motion Comic YES! (2011-2022), and artistic collaborations in augmented reality exhibitions. Recent publications highlight game studies, childhood obesity prevention, and ethical decision-making in VR. Best Innovative Pedagogical Practice Award (Fazer + 2021) Awards for directing animated films

• Design and Technology
• Information Design and Data Visualization
• Design Education

Carlos Miguel Lopes Rosa is an Associate Professor and Dean at the Faculty of Design, Technology and Communication, European University of Lisbon. Holding a PhD in Design, he bridges academic research with real-world design practice through projects commissioned by leading Portuguese institutions and contributions to major publications including Observador, Público, and Diário de Notícias. His educational foundation centers on a doctoral degree in Design, establishing his expertise in theoretical and applied design frameworks. Rosa's research interrogates the synergy between design and technology, with concentrated exploration in information design, data visualization, and pedagogical innovation. His work probes visual cognition through static imagery analysis and advocates for student-centered learning transformations in design education, emphasizing practical applications over theoretical abstraction. Recent publications reveal consistent focus on modular design systems, cognitive triggers in visual perception, and educational paradigm shifts—demonstrating how design research directly informs tangible projects from pictogram standardization to AI-driven logo creation. Accolades include Portugal's highest design honors and international recognition: Prémio Nacional de Design (Sebastião Rodrigues) Menção Especial Prémio de Design João Branco Shortlisted for International Design Research Award (IIID) Research Award from Universidade de Aveiro Design Icon designation by Computer Arts Magazine He actively mentors five doctoral candidates investigating AI in creative processes, design education models, visual narrative in ancient petroglyphs, corporate leadership roles for designers, and educational system redesign—projects often implemented through institutional partnerships across Portugal. His research extends beyond academia into commissioned design solutions and public discourse through major media outlets.

• Control Systems
• Machine Learning
• Optimization Algorithms
• +۳ مورد دیگر

Pedro Manuel Quintas Aguiar is an Associate Professor at the Department of Electrical and Computer Engineering, Instituto Superior Técnico (University of Lisbon), specializing in Systems, Decision, and Control. His work integrates optimization, machine learning, and computer vision with applications in distributed systems, 3D reconstruction, and robotics. He leads research in structured prediction and distributed algorithms for sensor networks. Education: PhD in Electrical Engineering (assumed based on role) Not explicitly stated but inferred from academic rank Research Interests: Optimization algorithms for distributed systems Machine learning for computer vision (attention mechanisms, shape representation) 3D reconstruction from video and motion estimation Robotic perception and bin-picking applications His recent work emphasizes scalable distributed optimization (e.g., D-ADMM algorithms) and robust visual attention models. Grants & Labs: Collaborations on sensor networks and underwater communications Focus on real-time systems and low-light video processing Labs/Teams: Involved with ISR (Institute for Systems and Robotics) at IST.

Luís Nobre Gonçalvesمشاهده پروفایل

استادیار

• Applied Physics
• Engineering Physics
• Materials Science
• +۴ مورد دیگر

Luís Nobre Gonçalves is an Assistant Professor at the Faculty of Sciences and Technology of the Universidade NOVA de Lisboa , where he has worked since 1993. Specializing in Engineering Physics , his research focuses on relaxation and aging phenomena, nonlinear dynamics, and mathematical modeling of physical systems. PhD in Physical Engineering (2003, UNL) Master's in Materials Engineering (1994, UNL) Bachelor's in Physical and Materials Engineering (1990, UNL) His work bridges applied physics and computational modeling , particularly in pendulum dynamics with memory effects, fractional differential equations, and liquid crystal behavior. He has developed tools like the featpost for 3D graphics and contributed to patents in polyhedral structures. Research trends highlight expertise in nonlinear dynamics , damping analysis , and mathematical physics , with applications in mechanical systems and materials science.

• Human-Computer Interaction
• Digital Health
• Well-being
• +۴ مورد دیگر

Andreia Pinto De Sousa is an Assistant Professor at Universidade Lusófona do Porto and an Invited Assistant Professor at Universidade do Porto Faculdade de Belas Artes. Her work bridges interaction design with healthcare, technology, and digital communication. Her academic background includes a Ph.D. in Information and Communication (2017) from Universidade de Aveiro and Universidade do Porto, an M.Sc. in Multimedia (2011), and a B.A. in Communication Design (2003). She has specialized in Interface Design for Mobile Devices, Software Engineering, and Health Technology Transfer. Her research focuses on human-computer interaction (HCI), digital health , and well-being , with a strong emphasis on trust and credibility in e-Health interfaces . Recent publications explore emotional design for dementia caregivers, intergenerational digital experiences, and visual design’s role in cyberjournalism engagement. Andreia has supervised 1 Ph.D. and 3 MSc students, co-supervised 6, and guided numerous bachelor projects. She actively contributes to research projects in interaction design and has authored key publications in HCI, public health, and digital media, including book chapters and peer-reviewed journal articles.

• Computer Vision
• Biometrics
• Authentication Systems
• +۳ مورد دیگر

Nuno Gonçalves is a Tenured Assistant Professor at the Department of Electrical and Computer Engineering and Senior Researcher at the Institute for Systems and Robotics (ISR) - Coimbra, University of Coimbra. He also serves as Innovation Manager at the Portuguese Mint and Official Printing Office (INCM) since 2018, focusing on technology transfer and product development. His roles include coordinating the AI group of APDSI and leading research in biometrics, facial recognition, and steganography. PhD in Computer Vision (University of Coimbra, 2008) His research spans computer vision, biometrics, and visual information security, with specific focus on facial recognition, morphing attack detection, presentation attack detection, graphical security, security coding, printer-proof steganography, and robotics. Recent work emphasizes deepfake detection, neural implicit representations, and robust biometric solutions. Article trends reveal expertise in 3D face reconstruction, multimodal deep learning for medical applications, and security-enhancing steganography. He leads projects integrating geometric modeling with neural networks for signed distance functions and develops benchmarks for morphing attack robustness in facial recognition systems. Member, IEEE He has coordinated grants from Fundação para a Ciência e a Tecnologia and private industry partners, including projects like BLOCKDFAKE (2025-2026) for deepfake detection in public administration and VISUAL-ID (2022-2024) for unique visual identities. His lab at ISR-Coimbra collaborates with INCM on security document validation and printer-proof steganography, with patents granted by EUIPO and USPTO.