جست‌وجوی استاد و پژوهشگر

• 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.

• Wireless Communication Systems
• 5G and Beyond Networks
• Non-Orthogonal Multiple Access (NOMA)
• +۷ مورد دیگر

Dushantha Nalin K. Jayakody is a faculty member at Lusófona University , holding a PhD in Electronics and Electrical Engineering and a Master of Science in Electronics and Electrical Engineering . His research spans Wireless Communication Systems , 5G and Beyond Networks , and Non-Orthogonal Multiple Access (NOMA) . Research Focus: UAV-assisted networks, SWIPT, UVLC, IoT security, and metamaterial antenna design Recent Work: Investigates THz-VLC integration, AoI optimization, and underwater communication systems Publications highlight trends in UAV mobility, 5G resilience, and blockchain applications in fog computing. Despite the absence of explicit award details, his extensive collaboration in IEEE journals underscores significant contributions.

• Machine Learning
• Signal Processing
• Pattern Recognition
• +۳ مورد دیگر

Mário A. T. Figueiredo is an IST Distinguished Professor and Feedzai Professor of Machine Learning at the Department of Electrical and Computer Engineering, Instituto Superior Técnico (IST) . He leads the Lisbon Unit for Learning and Intelligent Systems (LUMLIS) within ELLIS and coordinates research clusters at Instituto de Telecomunicações. His research focuses on machine learning , signal processing , and image restoration , particularly using sparsity-based methods , wavelet transforms , and Bayesian algorithms . Recent work includes 3D shape correspondence , hyperspectral sharpening , and adaptive optimization techniques . Key article themes: Biclustering , ADMM algorithms , sparsity regularization , and generative embeddings Scientific recognition: EURASIP Fellow , Clarivate Highly Cited Researcher , IEEE/IAPR Fellow , and multiple best paper awards He has mentored numerous PhD/MSc students and contributed to information-theoretic kernels , feature discretization , and multimodal data analysis in biomedical and computer vision applications.

Alexandra M. Carvalhoمشاهده پروفایل

استادیار

• Machine Learning
• Bioinformatics
• Bayesian Networks
• +۳ مورد دیگر

Alexandra M. Carvalho is an Assistant Professor at the Department of Electrical and Computer Engineering, Instituto Superior Técnico (IST), Universidade de Lisboa. She is also a researcher at the Pattern and Image Analysis Group (PIA) within the Instituto de Telecomunicações (IT). Her academic journey includes a five-year degree in Applied Mathematics from IST (1998), a Master's in Computer Science (2004), and a PhD in Computer Science (2011), both from IST. Her research focuses on machine learning, bioinformatics, Bayesian networks, and medical informatics, with applications in healthcare, genomics, and longitudinal data analysis. Education: Bachelor’s in Applied Mathematics, IST, 1998 Master’s in Computer Science, IST, 2004 PhD in Computer Science, IST, 2011 Research interests emphasize structured motif discovery, probabilistic graphical models, survival analysis, and time-series data mining. Key contributions include algorithms for motif extraction in DNA sequences, dynamic Bayesian networks for disease progression modeling, and tools like GRISOTTO and RISO for bioinformatics. She has been awarded the Sartorius Innovation Award and recognition from BioMed Central for impactful publications. Her work spans interdisciplinary collaborations, including projects on cancer systems biology, pharmacokinetic modeling, and clinical decision support. She advises numerous MSc students and has secured grants from FCT and EU initiatives. Notable software contributions include AliClu for clinical data clustering and METEOR for outlier detection in time series. Labs/Teams: Active in the PIA Group and KDBio Group (INESC-ID), focusing on computational methods for biomedical data analysis.

• Signal and Image Processing
• Machine Learning
• Artificial Intelligence
• +۷ مورد دیگر

João Pedro Oliveira is an Associate Professor in the Department of Information Science and Technology at ISCTE – Instituto Universitário de Lisboa, where he also coordinates the Pattern and Image Analysis Group. He is an Integrated Researcher at the Institute of Telecommunications – IUL, contributing to cutting-edge research in signal and image processing and machine learning. His academic background includes a PhD and a Bachelor's degree in Electrical and Computer Engineering from the Higher Technical Institute - UTL. His research interests span Signal and Image Processing , Machine Learning , AI in Healthcare , Cultural Heritage Informatics , and Mobile Application Recommendation Systems . His recent publications demonstrate a strong interdisciplinary focus, combining AI with archaeology, healthcare diagnostics, and mobile computing. The analysis of his 15 most recent publications reveals a consistent trend in applying machine learning and computer vision techniques to real-world problems, particularly in cultural heritage digitization, medical imaging, and mobile user modeling. He frequently collaborates with researchers in diverse domains, publishing in high-impact journals such as Engineering Applications of Artificial Intelligence and IEEE Access . While no scientific awards are listed in the provided text, his extensive publication record and leadership in research groups underscore his academic impact. João Pedro Oliveira advises students in computer science and engineering domains, though specific names are not mentioned. He is involved in multiple research projects, particularly those integrating AI with societal applications. He leads and participates in research initiatives related to image analysis, semantic modeling, and mobile systems. His work often involves collaboration with multidisciplinary teams focusing on digital transformation in public and health sectors.

Aleksandar Ilicمشاهده پروفایل

استادیار

• High-Performance Computing
• Computer Architecture
• Heterogeneous Systems
• +۴ مورد دیگر

Aleksandar Ilic is an Assistant Professor at the Department of Electrical and Computer Engineering (DEEC) at Instituto Superior Técnico (IST), University of Lisbon, and a Senior Researcher at the Signal Processing Systems (SiPS) Group at INESC-ID, Lisbon. His research focuses on high-performance computing, energy-efficient architectures, and heterogeneous systems. He holds a Ph.D. from IST, supervised by Prof. Leonel Sousa. Education: Ph.D. in Electrical and Computer Engineering, Instituto Superior Técnico (2014) M.Sc. in Electrical and Computer Engineering, University of Niš, Serbia (2007) Research Interests: His work emphasizes optimizing computational performance and energy efficiency in modern architectures, including GPUs, FPGAs, and multi-core CPUs. Key areas include epistasis detection in bioinformatics, cache-aware performance modeling (CARM), and parallel processing frameworks for heterogeneous systems. Recent projects like SparCity and IntelCARM aim to enhance sparse computation and roofline model applications. Awards & Grants: Intel Innovator Award (2020) HiPEAC Tech Transfer Award (2017) Multiple Excellence in Teaching Awards from IST students (2015–2020) Intel Research Grants (2018–2020) Advising & Labs: He supervises M.Sc. students in topics like FPGA acceleration for epistasis detection, GPU performance modeling, and secure embedded systems. His lab develops tools like CARM and collaborates on EU-funded projects such as SparCity.

• Machine Learning
• Computer Vision
• Medical Imaging
• +۳ مورد دیگر

Catarina Barata is an Assistant Professor at the Department of Electrical and Computer Engineering , Instituto Superior Técnico , Universidade de Lisboa. Her research focuses on machine learning, computer vision, and medical imaging, particularly in dermatology and healthcare applications. She teaches courses such as Machine Learning, Signals and Systems, and Big Data Processing. Her work emphasizes skin lesion analysis and automated diagnosis systems , with contributions to domain generalization, explainable AI, and clinical decision support. She has pioneered techniques like artifact-based domain adaptation for skin cancer models and sparse motion fields for trajectory prediction. Barata's research spans interdisciplinary collaborations, including robotic therapy for autism spectrum disorder, real-time attention classifiers, and fire/smoke detection using weak supervision. Her studies on biomarkers in melanoma and BRAF mutation detection highlight her impact in precision medicine. She actively contributes to international initiatives like the ISIC conference and the International Skin Imaging Collaboration (ISIC), promoting ethical AI standards and consensus guidelines for dermatological applications. Her work balances technical innovation with clinical relevance, addressing challenges in dataset bias, counterfactual explanations, and multimodal medical data integration.

• Fiber Optic Telecommunications Systems
• Optical Networks
• Multicore Fiber Technology
• +۷ مورد دیگر

Adolfo da Visitação Tregeira Cartaxo is a Full Professor at ISCTE – University Institute of Lisbon, affiliated with the Department of Information Science and Technology within the School of Technologies and Architecture. He serves as Director and Integrated Researcher at the Institute of Telecommunications – IUL (IT-IUL), where he leads research in the Optical Communications and Photonics Group (OCPG). His academic career began at Instituto Superior Técnico (IST), Technical University of Lisbon, where he earned his BSc, MSc, PhD, and Habilitation in Electrical and Computer Engineering. Bachelor's Degree in Electrical and Computer Engineering, IST, 1985 Master's Degree in Electrical and Computer Engineering, IST, 1989 PhD in Electrical and Computer Engineering, IST, 1992 Habilitation in Electrical and Computer Engineering, IST, 2005 His primary research interests lie in fiber optic telecommunications systems and optical networks, with a strong focus on multicore fiber technology, signal processing, and next-generation optical networks. He has contributed significantly to the development of digital mitigation techniques for inter-core crosstalk and machine learning applications in optical systems. The available articles highlight his expertise in photonic signal processing and radio-over-fiber systems, particularly in OFDM-UWB transmission over PONs and photonic analog-to-digital conversion. These works exemplify his work at the intersection of microwave and optical technologies for advanced communication systems. Scientific Awards: Best paper award at the 2013 OPTICS Conference, Reykjavik Best paper award at the 2011 OPTICS Conference, Seville UTL/Santander Totta Scientific Award (2008) for highest scientific impact in Electrical Engineering and related fields (2003–2007) He has supervised numerous PhD and Master’s theses and is currently guiding multiple doctoral candidates. He leads major research initiatives, including the EU-funded MATCH project (Multicore Fiber Applications and Technology), which trains 13 doctoral candidates across Europe. He has also led national and international projects such as DigCORE, RETIOT, AMEN, and EUIMWP. He serves on the editorial boards of journals including Photonics (Q2), Telecom , and International Journal of Optics (Q3), and is a Senior Member of IEEE. He is actively involved in academic leadership, having served as Deputy Director of the School of Technologies and Architecture (2018–2021) and in various roles within the Scientific Council and Scientific Committee at ISCTE-IUL. His research lab, the Optical Communications and Photonics Group (OCPG), is part of the Institute of Telecommunications, a leading research unit in Portugal.

Irena Orovicمشاهده پروفایل

پژوهشگر

• Compressive Sensing
• Sparse Signal Processing
• Signal Reconstruction
• +۳ مورد دیگر

IRENA OROVIC is a researcher affiliated with COPELABS (Cognitive and People-centric Computing), focusing on signal processing and sparse signal reconstruction. She actively contributes to advanced research in compressive sensing, time-frequency analysis, and machine learning applications. Research Interests: Her work spans Compressive Sensing Sparse Signal Processing Signal Reconstruction Time-Frequency Analysis Watermarking Machine Learning Publications: Recent research outputs include advancements in adaptive compressive sensing, Hopfield network optimization, and Hermite transform applications, reflecting her expertise in sparse signal analysis and multidisciplinary computational methods.