جستجوی استاد راهنمای دانشگاهی

David Lindlbauerمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Computer Graphics
• Computer Vision
• +۷ مورد دیگر

David Lindlbauer is an Assistant Professor at the Human-Computer Interaction Institute (HCII) within Carnegie Mellon University's School of Computer Science. He leads the Augmented Perception Lab and co-directs the CMU Extended Reality Technology Center (XRTC) . His research bridges Human-Computer Interaction, Computer Graphics, and Computer Vision to create adaptive interfaces that enhance human-digital interaction. Education : PhD (summa cum laude) from Technische Universität Berlin , MSc and BSc from University of Applied Sciences Upper Austria Previous Affiliation : Postdoctoral Researcher at ETH Zurich (2018-2020) David's research focuses on understanding human perception of digital information and developing computational approaches to optimize AR/VR interface usability. Key areas include: Context-aware adaptive interfaces Visual saliency and attention modeling Spatial audio-haptic systems Optimal placement algorithms Object manipulation in Remixed Reality Diminished/ambient MR interfaces His 15 most recent publications (2024-2025) span topics in adaptive XR interfaces, multimodal notifications, haptic systems, and spatial cognition. These works appear at venues like ACM CHI, ACM UIST, IEEE VR, and Frontiers in VR. Common themes include: Machine learning for interface adaptation Human factors in XR design Real-time environment analysis Privacy-aware display systems Collaborative MR interfaces Accessibility enhancements Scientific Recognition : Best Paper Honorable Mention Award (ACM CHI 2024) Best Paper Award (ACM ISS 2023) ETH Zurich Postdoctoral Fellowship Multiple best paper recognitions at CHI, UIST, and IEEE VR Teaching & Leadership : Course developer for CMU's "Interactive Extended Reality" Mentor for NASA SUITS Challenge team Co-chair roles at CHI and UIST Overseeing PhD students and research interns

João Paulo Costeiraمشاهده پروفایل

دانشیار

• Computer Vision
• 3D Reconstruction
• Structure from Motion
• +۳ مورد دیگر

João Paulo Costeira is an Associate Professor at the Department of Electrical and Computer Engineering, Instituto Superior Técnico (IST), Lisbon. He holds a PhD in Electrical and Computer Engineering from IST (1995) and was a Visiting Scientist at Carnegie Mellon University's Robotics Institute (1991–1995). His research focuses on Computer Vision, 3D Reconstruction, and Structure from Motion, with contributions to object recognition, robotics, and multimedia analysis. Education: PhD in Electrical and Computer Engineering, IST (1995); Visiting Scientist, CMU Robotics Institute (1991–1995). Roles: Coordinator of the Signal and Image Processing Group (SIPg), Co-director of the Carnegie Mellon|Portugal Dual PhD Program in ECE and Robotics (2007–2018), and Scientific Director of Carnegie Mellon|Portugal (2014–2018). Research Interests: João's work emphasizes 3D reconstruction from video, rigid and non-rigid motion analysis, and applications in robotics and urban surveillance. He has pioneered methods for motion segmentation and robust correspondence problems in computer vision. Publications: His recent work includes advancements in apple counting systems, rotation averaging for robotics, and domain adaptation for traffic density estimation. These contributions highlight his expertise in real-world computer vision challenges. Awards: None explicitly listed. However, his extensive publication record and academic leadership reflect significant scholarly impact. Advising & Grants: Supervised 13 PhD students, many co-advised with CMU faculty. Active in projects like CityCam (vehicle counting) and MultiDrone (robotics collaboration). Funded by FCT, EU, and industry partnerships. Labs/Teams: Leader of the Signal and Image Processing Group (SIPg) at ISR. Involved in NETSyS program for networked systems and robotics.

• Human-Machine Interaction
• User Experience
• Law and Rights in the Digital Society
• +۷ مورد دیگر

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.

• Signal Processing
• Image Processing
• Smart Environments
• +۶ مورد دیگر

Manuel Reis is an Associate Professor with Agregação at the University of Trás-os-Montes e Alto Douro (UTAD), Portugal, in the Electrical Engineering Department. His research focuses on signal/image processing, smart environment systems, and multimedia education technologies. He is affiliated with the Institute of Electronics and Telematics Engineering of Aveiro (IEETA) and collaborates with Brazil's IFPA-Santarém in computing education research. Education: Bachelor's in Electrical Engineering (University of Trás-os-Montes e Alto Douro, 1991) Master's in Electronics and Telecommunications (University of Aveiro, 1996) PhD in Electrical Engineering (University of Aveiro, 2001) Research Interests: Signal & Image Processing Cybersecurity for IoT and Smart Environments Education Technology (e-learning, multimedia tools) 5G and Edge Computing Applications Artificial Intelligence in Agriculture and Healthcare Recent articles highlight his work on cybersecurity in connected vehicles, federated learning for IoT security, and IoT-based systems for drowsiness detection. He has contributed to projects involving smart city infrastructure, sustainable waste management, and low-cost biomedical devices. His educational research explores e-learning frameworks, student engagement metrics, and innovative teaching methodologies in engineering education. Lab/Affiliations: Institute of Electronics and Telematics Engineering of Aveiro (IEETA) Multidisciplinary Research Group IFPA-Santarém-Brazil (Computing in Education)

• Signal processing for communications
• MIMO communications
• Wireless, ad hoc and sensor networks
• +۱۱ مورد دیگر

Nuno Manuel Branco Souto is an Associate Professor (with Habilitation) at the Department of Information Science and Technology, School of Technologies and Architecture, ISCTE - University Institute of Lisbon. He also holds leadership roles as Deputy Director of both the School of Technologies and Architecture and the Institute of Telecommunications - IUL, where he is an Integrated Researcher in the Radio Systems Group. Aggregation in Information Sciences and Technologies, ISCTE-University Institute of Lisbon, 2021 PhD in Electrical and Computer Engineering, Higher Technical Institute - UTL, 2006 Bachelor's degree in Aerospace Engineering, Higher Technical Institute - UTL, 2000 His research focuses on signal processing for communications , MIMO systems , channel estimation , reconfigurable intelligent surfaces (RIS) , and optimization in wireless communications . He explores advanced techniques in hybrid precoding , index modulation , and energy-efficient 5G/6G network design , contributing significantly to next-generation wireless technologies. His recent publications (2020–2024) reveal a strong trend toward reconfigurable intelligent surfaces (RIS) , millimeter-wave and THz communications , molecular communication with deep learning , and anti-UAV systems using SDR-based jamming and spoofing . These works appear in high-impact journals such as IEEE Transactions, Sensors, and Applied Sciences, reflecting his leadership in cutting-edge wireless communication research. Dr. Souto has no scientific awards explicitly listed in the provided text. He has been actively involved in teaching, research supervision, and academic leadership. His collaborations span multiple institutions and include prominent researchers such as Pavia, Velez, Correia, Sebastião, and Dinis. He contributes to both theoretical advancements and practical implementations in wireless systems, including software-defined radio (SDR) applications for UAV security and scalable video broadcasting in cellular networks. Dr. Souto is affiliated with the Radio Systems Group at the Institute of Telecommunications - IUL, where his team conducts research on next-generation wireless networks, signal processing algorithms, and communication system optimization.

• Computer Networks
• Internet of Things (IoT)
• Network Architectures
• +۷ مورد دیگر

Rui Neto Marinheiro is an Associate Professor at the Department of Information Science and Technology, School of Technology and Architecture, Iscte - University Institute of Lisbon. He is also an Integrated Researcher at the Institute of Telecommunications - IUL, where he contributes to the Radio Systems Group. His academic leadership includes directing the Bachelor's Degree in Telecommunications and Computer Engineering and coordinating various institutional initiatives such as e-learning, audiovisual services, and international mobility programs. PhD in Electronics and Computer Science, University of Southampton (2001) Bachelor’s in Electrical and Computer Engineering, Faculty of Engineering, University of Porto (1995) His research focuses on advanced computer networking topics, including IoT communication architectures, software-defined networks, network security, mobility, and medium access control. His work bridges theoretical modeling with practical implementation in smart cities and distributed systems. He has led and participated in multiple national and international research projects funded by European and national agencies. The recent publications and projects reflect a strong trend in IoT-enabled smart environments, network resilience, and intelligent surveillance systems. His work integrates wireless technologies, data analytics, and autonomous systems, contributing to both academic knowledge and real-world applications in public safety, tourism, and telecommunications infrastructure. MoniCrowd – Adaptive system for crowding monitoring RESETTING – Digitalization of sustainable tourism ImpAr – Optical network impairment modeling SAAS – UAV surveillance via terrestrial networks LTE-Advanced Enhancements using Femtocells 3DVQM – 3D video quality monitoring E-NEXT – Networking technologies integration AGENTCITIES.RTD – Agent-based service networks Marinheiro actively supervises graduate students, with three doctoral theses and four master’s dissertations currently in progress, and has guided over twenty master’s students to completion. He has not received explicitly mentioned scientific awards in the provided text. His teaching responsibilities span network architecture, security, IoT, and digital communications across multiple undergraduate and institutional programs. He is affiliated with the Institute of Telecommunications - IUL (IT-Iscte), particularly within the Radio Systems Group, where he conducts research on wireless and optical networks. His academic management roles include laboratory coordination and promoting international student recruitment through Erasmus+.

• Wireless Communications
• Telecommunications Engineering
• Video Quality Optimization
• +۷ مورد دیگر

Berend Willem Martijn Kuipers is affiliated with Universidade Lusófona in Lisbon, Portugal, where he contributes to research in telecommunications and network systems. He holds a doctoral degree from Aalborg University of Technology, Denmark, a Master's from Delft University of Technology, Netherlands, and a Bachelor's from Rijswijk Institute of Technology. Bachelor of Science, Rijswijk Institute of Technology, The Netherlands Master of Science, Delft University of Technology, Delft, The Netherlands Doctor of Philosophy, Aalborg University of Technology, Aalborg, Denmark His research focuses on wireless communication technologies, particularly in the areas of MIMO systems, video quality optimization over IP networks, and robust communication for emergency services. His work bridges theoretical modeling and practical implementation in real-world network environments. Key interests include channel modeling, signal processing, and AI applications in networking. The publication timeline from 2002 to 2022 shows a consistent research trajectory centered on enhancing wireless network performance. Early work focused on Bluetooth and MIMO channel modeling, while later contributions address video quality, substation network delays, and the integration of artificial intelligence in communication systems. These works reflect expertise in both fundamental wireless principles and modern network challenges. No scientific awards were mentioned in the provided text. No information is available regarding student supervision, research grants, or funding sources. No specific laboratory or research team affiliations are mentioned in the provided content.

Jaime dos Santos Cardosoمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Medical Image Analysis
• +۱۱ مورد دیگر

Jaime dos Santos Cardoso is a Full Professor at the Department of Electrical and Computer Engineering (DEEC) in the Faculty of Engineering of the University of Porto (FEUP), Portugal. Simultaneously, he is involved in research and development activities at INESC TEC in the Centre for Telecommunications and Multimedia, where he co-founded the Breast Research Group and the Visual Computing and Machine Intelligence (VCMI) Group. His research focuses on computer vision, pattern recognition, and machine learning with applications in medical decision support systems, biometrics, and visual information processing. University of Porto, Faculty of Engineering (2006-present) INESC TEC, Centre for Telecommunications and Multimedia (current) Co-founder of Visual Computing and Machine Intelligence (VCMI) Group Ph.D. in ECE (Computer Vision) from University of Porto (2006) Professor Cardoso's research interests span computer vision, machine learning, deep learning, medical image analysis (particularly breast and cervical cancer), biometrics, and medical decision support systems. His work emphasizes interpretable models, data-efficient learning approaches, and tackling challenges like class imbalance and ordinal data in visual information processing. The VCMI group under his leadership pursues never-ending visual information learning systems to empower intelligent systems with visual reasoning capabilities. His research has significant applications in medical imaging, particularly in breast cancer screening and diagnosis, breast cancer surgery planning and evaluation, and cervical cancer screening. The group develops Computer-Aided Diagnosis (CAD) systems that can be integrated into clinical workflows to improve detection, diagnosis, and treatment planning. World's Top 2% Scientists recognition Extensive publication record in top-tier computer vision and medical imaging conferences and journals Leadership in multiple research projects including AI-RBD, AI-Care4U, OBJECT, and AI4Lungs Professor Cardoso has supervised numerous PhD and Master's students, with many completing their degrees under his guidance. His students have worked on diverse topics including breast cancer aesthetic assessment, multimodal biometrics, medical image analysis, and deep learning applications in healthcare. He has received research funding for various projects focused on applying machine learning to medical challenges, particularly in oncology and medical imaging. The Visual Computing and Machine Intelligence (VCMI) group, which he co-founded, has evolved significantly since 2011, becoming the main research group within the Information Processing and Pattern Recognition (IPPR) Area at CTM. The group maintains a balance between senior and junior researchers, fostering a collaborative environment for advancing research in visual computing and machine intelligence.

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.

Carlos Manuel Ribeiro Almeidaمشاهده پروفایل

استادیار

• Real-Time Systems
• Embedded Systems
• QoS Adaptability
• +۳ مورد دیگر

Carlos Manuel Ribeiro Almeida is an Assistant Professor at the Department of Electrical and Computer Engineering, Instituto Superior Técnico, Universidade de Lisboa. He has been affiliated with the GEMS (Group of Embedded networked Systems and Heterogeneous Networks) research group since 2009 and the Instituto de Telecomunicações (IT) since 2013. His academic journey includes a BSc (1984), MSc (1989), and PhD (1998) in Electrical and Computer Engineering from IST. He has held visiting positions at Cornell University (1991–1993) and Chorus Systems (1990–1991). Research Interests : Real-Time and Embedded Systems, QoS Adaptability, Fault-Tolerance, Sensor Networks, and Networked Embedded Systems. His work focuses on dynamic environments where systems must adapt to maintain timeliness and dependability. Teaching includes courses on Systems Programming, Real-Time and Embedded Systems, and Networked Embedded Systems. His publications span over 30 years, emphasizing real-time scheduling, fault-tolerant protocols, and embedded system optimization. Notable projects include CANELy (a dependable communication protocol) and VITRAL (a real-time kernel interface). Labs/Teams : GEMS (Taguspark campus) and the Networks and Multimedia group at IT. His work integrates hardware-software co-design for resource-constrained systems.

Pedro António Ferreiraمشاهده پروفایل

مدرس

• Management Control Systems
• Business Performance Analysis
• Strategic Decision Support Systems
• +۳ مورد دیگر

Pedro António Ferreira is an invited lecturer at ISCTE Business School, where he teaches across bachelor's, master's, and executive programs. He holds a Master in Corporate Sciences, a bachelor's degree in Management from ISCTE-IUL, and an Accounting degree from ISCAC Coimbra. His professional experience includes leadership roles such as CEO of Overgest/ISCTE, Partner at Paradigma Consulting, and consultant roles at SE.MAR.TE Consulting, BDO International, and MAP-Key Plastics SA. His research focuses on management control systems, strategic decision-making frameworks, integrated reporting, and the impact of emerging technologies on accounting practices. Key interests also include business model innovation, particularly in cultural and sustainability contexts. Notable contributions include co-authoring books on accounting and articles exploring topics like perfume exhibition design, energy efficiency business models, and Rock in Rio's cultural value creation. His work bridges theoretical frameworks with practical applications in diverse sectors.

Paulo Alexandre Vara Alvesمشاهده پروفایل

استاد

• Intelligent Systems
• Big Data Analytics
• E-learning
• +۳ مورد دیگر

Paulo Alexandre Vara Alves is a Professor in the Informatics and Communications Department at the Polytechnic Institute of Bragança since 1997. He serves as IPB e-learning Coordinator and Vice-Dean of the School of Technology and Management. PhD in Technology and Information Systems (University of Minho) MSc in Multimedia Technology (University of Porto) His research focuses on intelligent systems , big data analytics , and their applications to e-learning , web development , and multimedia . Recent publications highlight applications of machine learning in cosmetic dermatology, nutritional health, and biomedical monitoring. Key themes include neural networks, data engineering for education analytics, and biofeedback systems. He currently holds no listed scientific awards but has an extensive publication record (49 total) and participates in collaborative research projects involving teams like CeDRI (Research Centre in Digitalization and Intelligent Robotics).

Luís Manuel Pessoaمشاهده پروفایل

پژوهشگر

• Telecommunications
• Optical Communications
• RF/Microwave Engineering
• +۷ مورد دیگر

Luís Manuel Pessoa is a Senior Researcher and Coordinator of the Optical and Electronic Technologies area at the Centre of Telecommunications and Multimedia of INESC TEC. He holds a Licenciatura (2006) and PhD (2011) in Electrical and Computer Engineering from the Faculty of Engineering of the University of Porto. Previously, he taught RF/microwave engineering and optical communications as an invited assistant professor at the University of Porto. His research focuses on coherent optical systems, radio-over-fiber, RF/microwave devices/antennas, underwater wireless power/communications, and 6G technologies like THz communications and Reconfigurable Intelligent Surfaces (RIS). He has authored/co-authored >50 publications and 1 European patent, coordinating multiple R&D projects and EU initiatives such as SUPERIOT for sustainable IoT systems. His work emphasizes industrial applications and standardization efforts for future networks. **Education:** Licenciatura in Electrical & Computer Engineering (2006), University of Porto PhD in Electrical & Computer Engineering (2011), University of Porto **Research Interests:** Terahertz (THz) communications and 6G systems RIS hardware design and signal processing RF/microwave antennas and devices IoT sustainability and printed electronics Underwater wireless power transfer **Publications:** Recent work highlights industrial THz use cases, sustainable IoT systems, and RIS innovations for 6G. His articles address technical challenges like spectrum utilization, energy efficiency, and hardware scalability. **Projects & Grants:** Coordinates EU projects like SUPERIOT and TERRAMETA, managing R&D contracts with industry. Leads teams in developing prototypes for RIS, IoT nodes, and anechoic chambers. **Labs/Teams:** Active in INESC TEC’s Telecommunications and Multimedia Centre, fostering collaborations across academia and industry.

• 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.