جست‌وجوی استاد و پژوهشگر

Pedro Coutoمشاهده پروفایل

استادیار

• Digital Image Processing
• Computer Vision
• Artificial Intelligence
• +۴ مورد دیگر

Pedro Couto is an Assistant Professor in the Engineering Department at the University of Trás-os-Montes and Alto Douro (UTAD), Portugal. He also serves as Vice Director of the Centre for the Research and Technology of Agro-Environment and Biological Sciences (CITAB) and is an integrated researcher in the Biosystems Engineering group at CITAB. His academic journey includes a PhD in Electrical Engineering (Computer Vision) from UTAD (2007), an M.Sc. in Engineering Technologies (2003), and a Bachelor's in Electrical Engineering (1999). His research focuses on Digital Image Processing, Computer Vision, and Artificial Intelligence, with applications in agriculture, biomedical systems, and robotics. Key areas include root phenotyping for drought resilience, UAV-based remote sensing in almond orchards, and obstacle detection for autonomous vehicles. He also explores kinematic analysis of animal locomotion and spinal cord injury recovery in animal models. His work integrates fuzzy logic and intuitionistic fuzzy sets for image segmentation and classification, with notable contributions to prostate ultrasound imaging and gait analysis in rats. Over 50 peer-reviewed papers demonstrate his expertise across interdisciplinary fields, combining engineering with agricultural and biomedical sciences. Couto's research trends highlight advancements in precision agriculture through UAV technologies, real-time pest detection using machine learning, and biomechanical studies of animal movement. His methodologies emphasize practical applications, such as optimizing orchard management and improving diagnostic tools for medical imaging.

• Signal Processing
• Robotics
• Biomedical Engineering
• +۵ مورد دیگر

Salviano F. S. P. Soares is an Assistant Professor at the Engineering Department within the Science and Technology School at UTAD (Portugal), and a researcher at IEETA – Institute of Electronics and Telematics Engineering, University of Aveiro. His research focuses on signal processing, robotics, biomedical engineering, IoT systems, and their applications in healthcare, education, and agriculture. He has led industry-funded projects with Altice Labs and Sonae, specializing in R&D with FCT grants. His work spans embedded systems design, human-robot collaboration, precision agriculture, and educational robotics. Notable contributions include Arduino-based robotics for STEM education, predictive maintenance systems, and AI-driven human activity recognition. Publications highlight advancements in autonomous systems, medical signal processing (ECG/EMG), and sensor networks. Collaborations include developing tools like the Kid Grígora robot for early computational thinking and the FEROX simulator for industrial human-robot synergy. He also pioneers smart agriculture solutions using LoRaWAN for vineyard monitoring and IoT-based sensor architectures for UAV inspections. His work integrates machine learning with traditional engineering challenges, addressing topics like fault detection in industrial robots, telemedicine systems, and cognitive architectures for elderly care. He actively publishes in IEEE, journals, and international conferences, emphasizing practical applications of theoretical research.

• Differential Games
• Optimization
• Simulation of Gas Networks
• +۴ مورد دیگر

Teresa Perdicoulis is a Lecturer at the Department of Engineering of the University of Trás-os-Montes and Alto Douro in Portugal since 1991. She holds a BSc in Mathematics from the University of Coimbra (1991), MSc in Electronic Control Engineering from the University of Salford, Manchester (1995), and a PhD in Mathematics and Computer Science from the University of Salford (2000). Her research focuses on differential games, optimization, gas network simulation, and identification theory. She contributes to academic communities through memberships in ISR University of Coimbra, SYSTEC (UP), and APCA. Her teaching spans diverse subjects including Numerical Analysis, Operational Research, Calculus, Algebra, Programming, Compilers, Control Systems Theory, and Discrete Mathematics. Her professional activities are complemented by engagement in research projects and institutional roles at the university. Outside academia, Teresa enjoys reading, cooking, mountain hiking, camping, knitting, and language learning.

Miguel Godinho de Matosمشاهده پروفایل

استاد

• Digitization Effects on Creative Industries
• Social Networks and Peer Influence
• Consumer Privacy Regulation
• +۳ مورد دیگر

Miguel Godinho de Matos is a Full Professor of Information Systems and Management at Católica Lisbon School of Business & Economics, serving as Dean of Faculty. He holds a courtesy appointment as Visiting Research Scientist at Carnegie Mellon University's Heinz College, affiliated with the Initiative for Digital Entertainment and Analytics (IDEA). His academic journey includes a Ph.D. and M.Sc. from Carnegie Mellon University's Engineering & Public Policy program, and dual B.Sc./M.Sc. in Computer Engineering from Instituto Superior Técnico, Lisbon. Research focuses on digitization's impact on creative industries, social network dynamics, consumer privacy regulation, and big data analytics. Notable work includes field experiments on subscription video platforms, telecom policies, and GDPR effects. He manages $1M+ in research funding (2/3 industry-sourced) and serves as Senior Editor at MIS Quarterly since 2024. Education: Agregação (Habilitation), Católica Lisbon (2021) Ph.D., Carnegie Mellon University (2013) M.Sc. (2×), Carnegie Mellon University & Instituto Superior Técnico (2005-2011) His 20+ publications appear in top journals like Management Science, Marketing Science, and Journal of Political Economy. Recent work examines telecommunication policy effects, consumer consent post-GDPR, and content strategy optimization. Awards include INFORMS and AIS Early Career distinctions (2019). Engages industry through consulting for telecom firms in Europe/Asia and Statistics Portugal. Former investment banker and management consultant before academia.

• Microwave Electronics
• Integrated Electronic Systems
• Analog and Mixed Signal Design
• +۳ مورد دیگر

João Manuel Torres Caldinhas Simões Vaz is an Associate Professor at the Telecommunications Institute (IT), specializing in electronic engineering and integrated systems. His teaching responsibilities for the 2nd semester 2024/2025 include core subjects such as Microwave Electronics, Integrated Radio Frequency Systems, and Analog and Mixed Integrated Systems. He also supervises 2nd Cycle Integrative Projects in Electrical and Computer Engineering and Electronic Engineering. Key teaching areas: RF systems, integrated circuits, and electronic design Focus on practical applications in electronic systems integration Research interests are strongly aligned with his teaching portfolio, emphasizing microwave technologies and advanced electronic system architectures. No specific research grants or laboratory affiliations are documented in the provided materials.

• Digital Circuits
• VLSI Design
• Signal Processing
• +۴ مورد دیگر

Paulo Flores holds the position of Associate Professor at the Department of Electrical and Computer Engineering within the Instituto Superior Técnico of the University of Lisbon. His academic career is deeply rooted in Electronics and Digital Systems, with a focus on VLSI design, FPGA optimization, and hardware acceleration for bioinformatics applications. He has contributed extensively to research in multiplierless constant multiplication algorithms, low-power circuit design, and quaternary logic implementations. Notable achievements include the SAT Competition 2014 and 2013 Bronze Medals for innovative contributions in formal methods and algorithmic efficiency. His teaching responsibilities include advanced courses in digital systems design, electronic engineering projects, and laboratory guidance in topics like operational amplifiers and FIR filters. Flores actively collaborates with research units like INESC-ID and has supervised multiple academic projects in electronic engineering and digital signal processing. Research interests span across circuit testing, embedded systems optimization, and multi-valued logic architectures. His work frequently explores trade-offs between computational efficiency and energy consumption in hardware implementations.

• Wireless Networks
• Network Slicing
• Vehicular Networks
• +۹ مورد دیگر

Teresa Vazão is an Associate Professor at the Department of Electrical and Computer Engineering, Higher Technical Institute. Her research focuses on wireless networks, network slicing, vehicular networks, and emergency communication systems. She has contributed to advancements in routing protocols, sensor networks for volcanic monitoring, and quality of service (QoS) optimization. Her work spans interdisciplinary projects such as the MIAVITA initiative, exploring telecommunications' role in volcanic risk mitigation. She has extensive experience in protocol design (e.g., HRAN, Bloom filter-based routing), network simulation (ns-3, Cooja integration), and resource allocation strategies for beyond 5G systems. Publications highlight her expertise in network performance analysis, synthetic data generation for mobile networks, and adaptive priority schemes for network slicing. Her research often addresses real-world challenges, including disaster response communication, low-power networks under mobility, and vehicular network architectures. Key projects include the development of the Service Platform for Vehicular Networks and contributions to the 'Last Mile' challenges in volcanic data transmission. Her work integrates machine learning for green resource allocation and emphasizes scalable solutions for large-scale mobile ad hoc networks.

• Power Electronic Converters
• Advanced Power Converter Topologies
• Renewable Energy Systems
• +۳ مورد دیگر

Sónia Ferreira Pinto is an Associate Professor at the Department of Electrical and Computer Engineering, Instituto Superior Técnico (University of Lisbon). Her research focuses on power electronic converters, advanced converter topologies for renewable energy, and power quality enhancement in smart grids. She is affiliated with INESC-ID, a leading research unit in Portugal. Affiliations: INESC-ID, University of Lisbon Teaching: Courses include Electronic Conversion and Energy Storage, Power Electronics for Energy, DC/AC Microgrids, and Switched Mode Converters for Renewable Energy. Research Interests: Her work addresses cutting-edge topics such as matrix converters, solid-state transformers, and FACTS devices. She explores solutions for grid stability, renewable energy integration, and efficient power conversion systems. Collaborations: Extensive co-authorship in high-impact publications on topics like matrix converter modulation techniques, smart transformers, and grid resilience. Active in projects related to offshore wind integration and energy storage systems.

• Power Electronics
• Electrical Drives
• Fast Field Cycling Nuclear Magnetic Resonance (FFC NMR)
• +۳ مورد دیگر

Duarte de Mesquita e Sousa is an Associate Professor at the Department of Electrical and Computer Engineering, Higher Technical Institute (University of Lisbon). His research focuses on Power Electronics, Electrical Drives, and Fast Field Cycling Nuclear Magnetic Resonance (FFC NMR). He teaches subjects such as Electromechanical Energy Conversion, Theoretical Electrical Engineering, and Smart Buildings and Facilities. Research Interests: His work spans FFC NMR technology development, high-voltage power converter design, electric vehicle systems, and energy efficiency optimization. Recent projects include reducing power losses in EVs, fault detection in multilevel converters, and advanced magnetic core analysis for NMR applications. Publications: His articles primarily explore FFC NMR instrumentation, high-voltage converter topologies, and renewable energy integration with EVs. Key themes include magnetic field analysis, power supply design, and control system optimization. Grants & Collaborations: Collaborates with institutions like the University of Lisbon and international partners on projects involving NMR spectrometers and EV energy systems. Labs/Teams: Active in the Energy Scientific Area research group, focusing on interdisciplinary solutions in energy and electromechanical systems.

Francisco Alegriaمشاهده پروفایل

دانشیار

• Measuring Instruments
• Measurement Techniques
• Characterization of Analog/Digital Converters
• +۹ مورد دیگر

Francisco Alegria is an Associate Professor at the Department of Electrical and Computer Engineering, Instituto Superior Técnico (University of Lisbon). His research focuses on measurement systems, electronic circuit design, and sensor technologies. He leads projects in wireless blood gas analysis, energy consumption monitoring in telecommunications, and fiber optic strain measurement. Notable collaborations include work with Vodafone, the Institute of Systems and Computer Engineering (INESC), and the Institute of Telecommunications. Research Interests: Measuring Instruments, Measurement Techniques, Analog/Digital Converters, Sensors/Actuators, Electronic Design, and interdisciplinary fields like Particle Physics and AI. Key Projects Include: Wireless Infrared Blood Gas Analysis (medical instrumentation with wireless capability). Vodafone Energy Monitoring System for radio communication stations. Fiber Optic Strain Measurement using Bragg gratings. Autonomous Airship Control (PASSAROLA project with ISR-Lisbon). Environmental Air Quality Monitoring using solar-powered systems. He has contributed to European projects like HECTOR (medical emergency management) and developed novel measurement methods for ADC testing, earning project classifications of "Excellent" by FCT evaluators.

• Computer Networks
• Algorithms
• Internet Technology
• +۳ مورد دیگر

João Luís Costa Campos Gonçalves Sobrinho is an Associate Professor at Instituto Superior Técnico (University of Lisbon). He teaches courses such as Algorithms in Networks and Applications and Computer Networks and Internet . His research interests include computer networks, algorithms, and internet technology. Contact details include the primary email joao.luis.sobrinho@tecnico.ulisboa.pt and a secondary email joao.sobrinho@lx.it.pt . Education: Completed a 5-year Bachelor's Degree in Electrical Engineering.

• Smart Grids
• Digital Systems
• Mobile Networks
• +۳ مورد دیگر

António Manuel Raminhos Cordeiro is an Associate Professor affiliated with INESC-ID and the Department of Electrical and Computer Engineering at Instituto Superior Técnico (IST), University of Lisbon. His teaching includes courses such as 'Fundamentals of Smart Electrical Grids,' 'Digital Systems,' and 'Mobile Networks and Internet of Things.' His research focuses on smart grids, IoT, and related engineering disciplines. He is actively involved in academic activities at INESC-ID, a leading research institute in Portugal, contributing to both education and technological advancements in electrical and computer engineering.

• Machine Learning
• Medical Imaging
• Computer Vision
• +۵ مورد دیگر

Margarida Silveira is an Associate Professor at the Department of Electrical and Computer Engineering, Instituto Superior Técnico (University of Lisbon), affiliated with the Institute of Systems and Robotics (ISR). Her research focuses on machine learning applications in medical imaging, computational biology, and robotics. She teaches courses in Machine Learning, Digital Signal Processing, and 2nd Cycle Integrative Projects in Electrical and Computer Engineering. Key research interests include Alzheimer's disease diagnosis using neuroimaging (3D LBP, FDG-PET), cell cycle staging via deep learning, and automated analysis of microscopy and SAR images. Her work combines computer vision techniques with domain-specific challenges like cell polarity quantification and gas sensing via liquid crystals. Recent publications emphasize 3D biomedical image analysis (cell nuclei segmentation, vascular networks), unsupervised learning for critical care (sepsis prediction), and synthetic data generation for microscopy. Her interdisciplinary collaborations span robotics, neuroscience, and environmental sensing. Labs/Teams: Active member of the Institute of Systems and Robotics (ISR) and the Systems, Decision, and Control research area. Involved in EU-funded projects involving medical AI and robotics.

• Large Scale Computing
• Computer Architecture
• Digital Systems
• +۱ مورد دیگر

Nuno Roma is an Associate Professor affiliated with Instituto Superior Técnico (University of Lisbon) and a researcher at INESC-ID. His academic role involves teaching and research in computing and engineering disciplines. Current Affiliation: Instituto Superior Técnico, University of Lisbon Research Unit: INESC-ID Research interests focus on Large Scale Computing, Digital Systems, and Architectures for High Performance Computing. He teaches courses such as Computer Architecture and 2nd Cycle Integrative Project in Electrical and Computer Engineering. No scientific awards or recent articles were explicitly mentioned in the provided text. Grants, advising records, or lab affiliations are not detailed in the current data.

• High-Performance Computing
• Neuromorphic Engineering
• Bio-inspired Systems
• +۷ مورد دیگر

Pedro Filipe Zeferino Tomás is an Associate Professor at the University of Lisbon's College of Engineering, Department of Electrical and Computer Engineering. He is affiliated with INESC-ID research institute and teaches courses on Large Scale Computing, Computer Architecture, and High Performance Computing. His academic career includes a PhD in Neural Code modeling (2009), a Master's in DSP hardware structures (2006), and a Bachelor's in Bio-Inspired Artificial Retina design (2003). His research focuses on neuromorphic engineering, parallel computing architectures, and biosensing applications. Key areas include GPU optimization, transprecision arithmetic, neural prosthetics, and participatory urban biosensing. He has pioneered bio-inspired systems for visual neuroprostheses and developed energy-efficient hardware accelerators for machine learning. His recent work integrates biosensors into urban studies, exploring participatory methods for analyzing affective geographies and walkability. Over 60 peer-reviewed publications demonstrate his contributions to high-performance computing, neural modeling, and interdisciplinary urban technology. Grants: Multiple EU-funded projects in neuromorphic systems and urban biosensing Labs: Leads the Heterogeneous Computing Lab at INESC-ID and collaborates with neural engineering teams