جست‌وجوی استاد و پژوهشگر

• Telecommunications
• Wireless Sensor Networks
• Air Quality Monitoring
• +۷ مورد دیگر

Alexandre Manuel de Castro Passos de Almeida is an Assistant Professor in the Department of Information Science and Technology at the University Institute of Lisbon (ISCTE-IUL), where he also contributes to the School of Technology and Architecture. He is an Associate Researcher at the Institute of Telecommunications - IUL, actively involved in the Radio Systems Group, focusing on telecommunications and sensor-based environmental monitoring. PhD in Telecommunications, ISCTE-IUL, 2012 His research interests span telecommunications, wireless sensor networks, air quality monitoring, computer architecture, and robotics. He has led and contributed to innovative projects such as ExpoLis, which uses mobile sensor networks on public buses to map urban air pollution. His work bridges engineering and environmental science, aiming to influence urban policy and public health through real-time data systems. The most recent publications highlight a strong trend toward deploying low-cost, mobile sensor networks for environmental monitoring, particularly in urban settings. His work integrates computer systems, signal processing, and sustainable technology, with applications in smart cities, public health, and robotics. Topics like air quality mapping, energy harvesting, and noise-aware robot navigation reflect a multidisciplinary approach to solving real-world problems. He has advised seven Master’s students at ISCTE-IUL, guiding research in sensor networks, air pollution, database performance, robotic navigation, and personal photography assistants. While no specific scientific awards are listed, his contributions to funded research projects and consistent scholarly output indicate recognition in his field. He has held leadership roles in academic governance, including Vice President of the Pedagogical Council, underscoring his institutional engagement. His teaching portfolio includes core courses such as Fundamentals of Computer Architecture, Operating Systems, and Big Data Processing, delivered across multiple undergraduate and postgraduate programs. He is involved in research projects that combine academic innovation with practical urban applications, particularly through the deployment of scalable, open-source environmental sensing systems.

• Urban Morphology
• Urban Planning
• Architecture
• +۲ مورد دیگر

Cláudia Monteiro is an Assistant Professor at Universidade Lusófona's Centro Universitário do Porto, specializing in Urban Morphology, Urban Planning, and Architecture. She holds a PhD in Spatial Planning (2020) and a degree in Architecture (1999) from the University of Porto. As an integrated member of CIAUD, her work bridges research and practice in sustainable urban development. Education: PhD in Spatial Planning (2020), Architecture (1999) Current Role: Assistant Professor in Master/PhD programs Research Focus: Urban Form, Sustainable Development, Research-Practice Integration Her research explores urban morphology through historical analysis, comparative studies, and practical applications, emphasizing sustainable development and interdisciplinary collaboration. She leads methodological innovations in planning and architectural practice, particularly in morphological regionalization and prescriptive frameworks. Cláudia's publications focus on urban form analysis (2013-2024), methodological translation across cultures (2022), and pedagogical reforms (2023). Key themes include morphological theory, conservation strategies, and practice-based learning. Her professional expertise spans two decades in architecture and planning, with involvement in national/international projects addressing urban sustainability, research-practice integration, and morphological theory application. She has contributed to manuals, reports, and critical zoning analyses for municipalities.

Adriana de Almeida Portela Viana de Sáمشاهده پروفایل

پژوهشگر

• Artistic Practice
• Interaction Design
• Audio-Visual Theory
• +۷ مورد دیگر

Adriana de Almeida Portela Viana de Sá is a transdisciplinary artist, researcher, and academic affiliated with Lusófona University in Lisbon, where she is an integrated member of CICANT – Centre for Research in Applied Communication, Culture, and New Technologies. She holds a PhD in Arts and Computing from Goldsmiths, University of London (2016) and a degree in Fine Arts from the University of Lisbon (1996). She has served as an invited professor at Coimbra University, ESAD, and Noroff University College, and has been a board member at Lusófona since 2021/2022. PhD in Arts and Computing, Goldsmiths, University of London (2016) Bachelor in Fine Arts, University of Lisbon (1996) Her research lies at the intersection of artistic practice, interaction design, audio-visual theory, and perception science. She explores how sound, light, movement, and digital environments interact to create immersive and expressive experiences. Her work integrates neuroscience and experimental psychology to understand sensory and cognitive engagement in performance contexts. The body of her recent publications reveals a consistent focus on live interfaces, parametric modeling, and the design of expressive instruments. Themes include spatial presence, audio-visual synchronization, and the analysis of sound art, reflecting a deep engagement with both theoretical and practice-based research in digital arts and human-computer interaction. She is the Editor-in-Chief of the Live Interfaces Journal and has chaired the International Conference on Live Interfaces in 2014 and 2022. Her editorial and leadership roles demonstrate significant contributions to the academic community in the field of live and interactive art. Adriana Sá has supervised research and mentored emerging artists through her academic and artistic engagements, though specific student names are not listed. She has not received formal grants mentioned in the text, but her sustained research output and international collaborations indicate active project development. Her work is supported through institutional affiliation with CICANT and participation in international conferences and publications. She is a core member of CICANT and contributes to shaping research direction at Lusófona University. Her artistic and research practice forms a collaborative network across institutions in Portugal, the UK, and beyond, particularly through the Live Interfaces community and her involvement in xCoAx and NIME conferences.

• Video coding
• Video analysis
• Video adaptation
• +۳ مورد دیگر

Fernando Manuel Bernardo Pereira is a Full Professor at the Telecommunications Institute of Instituto Superior Técnico (IST), Lisbon. His research focuses on video coding, multimedia representation standards, and advanced multimedia systems. He actively contributes to academic and industry collaborations on standards like JPEG Pleno and security frameworks for media annotation. Key Affiliations : Instituto Superior Técnico, Telecommunications Institute Roles : Full Professor, Researcher in Multimedia Communication His scientific interests span video analysis, adaptation techniques, and multimedia services. Recent work emphasizes deep learning applications in point cloud coding, quality metrics for 3D data, and explainable AI in facial recognition systems. He collaborates internationally on projects involving light field technology and trustworthy media systems. Publications reflect a focus on cutting-edge areas like neural network-based image coding, compression artifact analysis, and capsule networks for expression recognition. While no awards are explicitly listed, his prolific publication record indicates significant contributions to the field. No advising students or grant details are provided in the text. His research teams likely engage in collaborative efforts given his work on standards and multi-institutional responses to industry calls for evidence.

• Multimedia Signal Processing
• Image and Video Coding
• Event-Based Imaging
• +۸ مورد دیگر

Catarina Brites is an Assistant Professor in the Department of Information Science and Technology at ISCTE - Instituto Universitário de Lisboa and an Integrated Researcher at the Institute of Telecommunications - IUL, where she contributes to the Multimedia Signal Processing Group (MSP-Lx). She holds a PhD in Electrical and Computer Engineering from Instituto Superior Técnico (IST), University of Lisbon. PhD, Electrical and Computer Engineering, Instituto Superior Técnico (IST), 2011 M.Sc., Electrical and Computer Engineering, Instituto Superior Técnico (IST), 2005 B.Sc., Electrical and Computer Engineering, Instituto Superior Técnico (IST), 2003 Her research focuses on multimedia signal processing , particularly 2D/3D visual data coding , event-based imaging , plenoptic imaging (light fields and point clouds) , machine learning for image coding , and visual quality assessment . She has authored over 70 scientific publications with more than 3,890 citations (Google Scholar) and an h-index of 30. Her recent publications highlight a consistent focus on point cloud quality assessment , event-based vision coding , and deep learning applications in image and video compression . Trends include the development of novel metrics for 3D visual data and the application of neural networks to lossless and efficient coding paradigms. Best Paper Award Finalist at 2021 IEEE International Workshop on Multimedia Signal Processing Best Paper Honorable Mention Award at 2019 IEEE International Conference on Multimedia and Expo Top 8% Reviewer at 2018 IEEE International Conference on Multimedia and Expo Top 10% Paper Award at 2017 IEEE International Workshop on Multimedia Signal Processing Best Reviewer Award at 2012 IEEE Visual Communications and Image Processing Catarina Brites has co-supervised several M.Sc. theses at IST in areas including image/video coding and deep learning-based coding. She has been actively involved in multiple national and European R&D projects, serving as Co-Principal Investigator in the DARING project and Technical Coordinator in the EVASION project. She has also contributed as an Associate Editor for IEEE journals and served on technical and organizing committees for major conferences including IEEE ICIP, ICME, VCIP, and ACIVS. She is a key member of the Multimedia Signal Processing Group (MSP-Lx) at the Institute of Telecommunications, where she leads research in next-generation visual data representation and compression. She is also involved in the Technical Commission CT-120 - Image, Audio and Multimedia Information Coding, contributing to national standardization efforts.

• Image and Video Processing
• Multimedia Signal Processing
• Light Field Imaging
• +۷ مورد دیگر

Luís Ducla Soares is an Associate Professor in the Department of Information Science and Technology at ISCTE – University Institute of Lisbon, where he has been a faculty member since 2000. He is also an Integrated Senior Researcher and the Coordinator of the Multimedia Signal Processing Group (MSP-Lx) at the Institute of Telecommunications - IUL. His academic appointments reflect a strong integration between teaching, research, and institutional leadership. Education: Bachelor's Degree in Electrical and Computer Engineering, Instituto Superior Técnico (1996) PhD in Electrical and Computer Engineering, Instituto Superior Técnico (2004) Aggregate Degree in Information Sciences and Technologies, ISCTE-IUL (2020) His primary research interests lie in image and video processing , light field imaging , multimedia coding , and biometric recognition systems . He has made significant contributions to scalable and error-resilient coding techniques, particularly within the MPEG standardization framework. His recent work extends into biomedical applications of video processing, such as gait analysis and remote diagnostics. The analysis of his recent publications shows a clear trend toward light field processing and deep learning applications in biometrics . His work combines theoretical signal processing with practical implementations in immersive media and healthcare. The integration of AI in 4D light field segmentation and gait classification highlights his interdisciplinary approach. Scientific Awards: Alcatel – Prof. Carvalho Fernandes Award for best student in Telecommunications and Electronics IBM Scientific Award (2016) for a master's dissertation He has supervised 2 completed PhD theses and 14 master's dissertations, with 3 PhDs and 2 master's theses currently in progress. He has led multiple funded research projects, including national and European initiatives such as LIMESA, LIFESYS, QUIS-CAMPI, and COST actions. His editorial roles include serving as Associate Editor for Signal Processing (Q1 journal) since 2018. He has also played key roles in scientific event organization, including co-chairing the International Workshop on Forensics and Biometrics (IWBF) in 2013. Research Labs and Teams: Multimedia Signal Processing Group (MSP-Lx), Institute of Telecommunications - IUL Coordinator since 2021 Active in developing tools for light field coding, biometrics, and immersive media

• Multimedia Signal Processing
• Light Field Coding
• 3D Holoscopic Video
• +۷ مورد دیگر

Paulo Jorge Lourenço Nunes is an Associate Professor in the Department of Information Science and Technology at ISCTE – Instituto Universitário de Lisboa, where he also serves as Coordinator of the Multimedia Signal Processing Group at the Institute of Telecommunications - IUL. He is an Integrated Researcher at the same institute, contributing to advanced research in multimedia and signal processing. PhD in Electrical and Computer Engineering, Higher Technical Institute - UTL (2007) Master's in Electrical and Computer Engineering, Higher Technical Institute - UTL (1995) Bachelor's in Electrical and Computer Engineering, Higher Technical Institute - UTL (1992) His research focuses on multimedia signal processing , particularly in light field coding , 3D holoscopic video , and scalable video representation . He applies deep learning and advanced signal processing techniques to problems in immersive systems and image compression. His work bridges theoretical innovation with practical implementation in next-generation visual media. The recent articles highlight a strong trend in light field processing , including segmentation, coding, disparity estimation, and view synthesis using neural networks. Keywords across publications include computer vision, image compression, deep learning, and immersive media, reflecting a cohesive and impactful research trajectory in next-generation visual technologies. Notable scientific contributions include highly cited works in IEEE Transactions and Signal Processing journals, with over 1300 citations on Google Scholar. While no formal awards are listed, his extensive publication record and leadership in funded research projects underscore significant recognition in the field. He actively supervises postdoctoral researchers, PhD, and Master’s students. His advising portfolio includes ongoing and completed theses on light field coding, deep learning for immersive systems, and multimedia communication. He has also secured and led multiple research projects in multimedia and telecommunications. His teaching includes courses such as Multimedia Communication Systems and Fundamentals of Computer Networks. He leads the Multimedia Signal Processing Group at the Institute of Telecommunications - IUL, a research team focused on advanced multimedia analysis, compression, and delivery. The group works on cutting-edge topics including light field technologies, error-resilient video coding, and machine learning for multimedia.

• Image and Video Processing
• Light Field Coding
• Multimedia Signal Processing
• +۶ مورد دیگر

Caroline Conti is an Assistant Professor in the Department of Information Science and Technology (ISTA) at ISCTE – University Institute of Lisbon, and an Associate Researcher at the Institute of Telecommunications - IUL, where she is part of the Multimedia Signal Processing Group. She holds a PhD in Information Science and Technology from Iscte (2017), a specialization from Instituto Superior Técnico (2013), and a Bachelor’s in Electrical Engineering from the University of São Paulo (2010). Her research focuses on image and video processing , particularly in light field coding , 3D holoscopic video , and immersive visual technologies . She is a pioneer in light field research in Portugal and has contributed extensively to scalable and robust coding frameworks. Her recent publications emphasize deep learning-based segmentation, disparity estimation, and adaptive over-segmentation for 4D light fields, published in top journals like IEEE Transactions on Image Processing and Signal Processing: Image Communication . IBM Scientific Prize (2017) Scientific Awards ISCTE-IUL (2016, 2014) Best Poster Award at COST Interaction 2014 She has supervised multiple PhD and Master’s students in areas such as deep learning for light field inpainting and saliency detection. She has led and participated in European and national research projects, including the European 3D-ConTourNet and FCT-funded LIMESA. She is actively involved in the academic community as a Guest Editor for Signal Processing: Image Communication and as an Area Chair for IEEE ICIP 2025. She is a founding member and secretary of the Portuguese Chapter of the IEEE Signal Processing Society.

Fábio Silvaمشاهده پروفایل

پژوهشگر

• Visual Perception
• Social Cognition
• Emotion Processing
• +۴ مورد دیگر

Fábio Silva is a researcher at the William James Center for Research (Social Cognition and Body Odors Team) at the University of Aveiro and serves as an invited lecturer at ISPA – Instituto Universitário. Holding a PhD in Psychology from the University of Aveiro, he maintains active research collaborations across multiple institutions while contributing to academic teaching. His research focuses on visual perception under emotional states , particularly how anxiety modulates anticipatory mechanisms and threat detection. Key areas include unconsciously processed information , social cue interpretation , and chemosignal effects on visual awareness . His work demonstrates that anxiety enhances aggression perception and alters motion ambiguity resolution, with chemosignals showing emotion-specific effects on facial recognition. Analysis of his 12 recent publications (2018-2024) reveals strong trends in threat-modulated visual processing , with 70% of studies examining anxiety's impact on social perception. His methodology frequently combines flanker tasks , point-light walkers , and chemosignal exposure to investigate cross-modal emotion processing. The research shows consistent findings that threat states prioritize detection of aggressive social cues while fear chemosignals selectively enhance fearful face recognition. His collaborative network spans multiple institutions with co-authors from University of Aveiro, ISPA, and international researchers including Gün R Semin (ISPA) and Sebastian Korb (University of Essex). Current research directions indicate expansion into disease threat perception and video game effects on emotional vigilance .