جستجوی استاد راهنمای دانشگاهی

Helena Galhardasمشاهده پروفایل

دانشیار

• Databases
• Data Cleaning
• Data Integration
• +۴ مورد دیگر

Helena Galhardas is an Associate Professor at the Department of Computer Science and Engineering at Instituto Superior Técnico, University of Lisbon , and a researcher at INESC-ID . Her work focuses on data cleaning, data integration, information extraction, and ETL systems , with applications in clinical data management and big data frameworks. Academic Affiliation: Associate Professor, Department of Computer Science and Engineering, Instituto Superior Técnico, University of Lisbon Research Unit: INESC-ID (Information and Decision Support Systems) Contact: helena.galhardas@tecnico.ulisboa.pt | +351 21 423 32 46 Her research spans theoretical and applied domains, including clinical data systems like Umedicine for structured medical data management and PiCaSSo for pediatric palliative care. She has developed frameworks like AJAX for data cleaning, REEL for relation extraction, and ∂u∂u for distributed duplicate detection. Her work integrates machine learning with database systems , particularly in workflow optimization and one-to-many data transformations. Scientific contributions include: Best Student Paper Award (2009) Nomination for Best Paper Award (2009) Research projects: PiCaSSo (2025-26): Pediatric Palliative Care Support System LAIfeBlood : AI for Blood Management Data2Help : Data Science for EMS Optimization DataStorm : Cloud-based Data Management

• Geographical Information Retrieval
• Text Mining
• Information Retrieval
• +۴ مورد دیگر

Bruno Emanuel Da Graça Martins is an Associate Professor at the Instituto Superior Técnico of the University of Lisbon and a researcher at the Human Language Technologies Lab of INESC-ID, Lisbon ELLIS Unit (LUMLIS). His research focuses on information retrieval, text mining, and natural language processing, with applications in geospatial data, machine learning, and healthcare informatics. Affiliations: Instituto Superior Técnico, University of Lisbon INESC-ID Lisbon Lisbon ELLIS Unit (LUMLIS) Research Interests: Geographical Information Retrieval Text Mining and Natural Language Processing Machine Learning for Geospatial Analysis Deep Learning Applications in Remote Sensing Clinical Text Mining and ICD Coding Teaching: Spoken Language Processing Machine Learning Programming Entrepreneurship, Innovation, and Technology Transfer Research Projects: He leads and collaborates on projects such as the Center for Responsible AI , DATASTORM , and GeoAI , addressing challenges in geospatial data analysis, multimodal learning, and healthcare informatics. Labs/Teams: Active in the Human Language Technologies Lab at INESC-ID and the Lisbon ELLIS Unit, focusing on advancing AI and NLP for geospatial and clinical domains.

• Human Language Technologies
• Robust Speech Recognition
• Speaker and Language Characterization
• +۱۲ مورد دیگر

Alberto Abad is an Associate Professor at the Department of Computer Science and Engineering (DEI), Instituto Superior Técnico (IST), University of Lisbon, and a researcher at INESC-ID. He is the coordinator of the Human Language Technologies (HLT) laboratory at INESC-ID and the deputy coordinator of the Master in Computer Science and Engineering at IST. He holds a PhD and a degree in Telecommunication Engineering from the Technical University of Catalonia (UPC). He is also an IEEE Senior Member, ACM Member, and ISCA Member. Alberto Abad’s research interests include: Robust Speech Recognition Speaker and Language Characterization Applied Machine Learning Healthcare Applications of Speech Processing Privacy-Preserving Speech Technologies Speech as a Biomarker for Disease Detection His recent publications demonstrate a strong focus on privacy-aware speech systems, healthcare diagnostics (e.g., Parkinson’s and Alzheimer’s), children’s speech recognition, and secure speaker verification. He has contributed to over 100 peer-reviewed publications in top-tier conferences and journals such as IEEE TASLP, ICASSP, Interspeech, and LREC. Alberto Abad has been Principal Investigator for multiple national and international projects, including VITHEA (FCT), DIRHA (European), Biovisualspeech (CMU-Portugal), TAPAS ITN (EU), and currently leads the INESC-ID/IST contributions in the Accelerat.ai project. He actively collaborates with industry and startups in the field of speech technology. He has supervised over 25 Master’s theses and more than five PhD students, either as advisor or co-advisor, in areas such as speech biomarkers, privacy-preserving ML, children’s ASR, and cognitive disorder detection. He teaches graduate courses including Speech Processing, Programming Fundamentals, and Master’s Dissertation in Informatics and Computer Engineering. He is involved in the development of tools and platforms such as the SPA web-based platform for speech processing, the VITHEA virtual therapist for aphasia, and the BioVisualSpeech corpus and therapy system. His work bridges theoretical advances with real-world clinical and industrial applications.

• Distributed Systems
• Data Management
• Dependability
• +۴ مورد دیگر

Rui Oliveira is an Associate Professor at Universidade do Minho in Portugal, affiliated with the Distributed Systems Group. His research focuses on dependable distributed systems, fault-tolerant database systems, and large-scale distributed systems. He teaches Distributed Systems across undergraduate, master's, and doctoral programs. Research Interests His work spans epidemic communication protocols, data management in cloud environments, and high-performance transactional middleware. Recent contributions include frameworks for privacy-preserving machine learning (SOTERIA), distributed tracing (CAT), and fault-diagnosis tools for I/O behavior analysis. Key Contributions Developed the Loom disaggregated database system, the TADA distributed agreement toolkit, and the DATAFLASKS epidemic storage substrate. His work emphasizes practical implementations of scalable and resilient distributed systems. Labs/Teams Affiliated with HASLab (Hardware and Software Systems Laboratory), focusing on distributed systems research. Collaborates with industry on cloud computing and cybersecurity challenges.

Rodrigo Brunoمشاهده پروفایل

استادیار

• Systems
• Programming Languages
• Cloud Computing
• +۴ مورد دیگر

Rodrigo Bruno is an Assistant Professor at Instituto Superior Técnico (University of Lisbon) and Senior Researcher at INESC-ID Lisbon. His research bridges Systems and Programming Languages with a focus on optimizing language runtimes for cloud environments (Microservices, Serverless). He previously worked at Oracle Labs Zurich and ETH Zurich. Research Areas Systems Programming Languages Cloud Computing Serverless Computing Operating Systems Key projects include Shell (FCT-funded serverless platform), Graalvisor (polyglot runtime virtualization), and Naos (RDMA networking in Java). His work appears in top venues like NSDI, EuroSys, ATC, and SoCC. Scientific awards include the EdgeEmu Best Paper Award , Best Young Researcher 2022 (INESC-ID), and multiple teaching excellence recognitions. He has served on program committees for EuroSys, NSDI, ATC, and more. Rodrigo Bruno leads a dynamic team including PhD candidates Vasyl Lanko, Bernardo Ribeiro (co-advised), and MSc students like André Páscoa. His research integrates with production systems such as the V8 JS Engine and OpenJDK HotSpot JVM. Current teaching includes Cloud Computing and Virtualization , Computer Systems Engineering , and IT Infrastructure Management . His service spans organizing committees for SESAME, MoreVMs, and artifact evaluation for SOSP.