Manuel Fontaine Campos serves as Associate Professor at the Faculty of Law of the Catholic University of Portugal (UCP), where he has held directorial responsibilities since 2013 and previously served as Vice-President of UCP's Porto Regional Center (2017-2021). His academic journey includes a Law degree (1996), Master's in Political Science (1999), and Doctorate in Law (2012), all from UCP. His research focuses on Public Law , European Union Law , and International Trade Law , with particular expertise in State Aid regulation, constitutional interpretation, and EU competition policy. His publication record spans over two decades, including commentaries on Portugal's Civil Code and Constitution, analyses of EU regulatory frameworks, and historical studies of international trade regulations. Professionally, he has held visiting positions at universities in Mozambique, Macau, Spain, and Portugal, and contributes to legal discourse through scholarly publications and expert opinions. His teaching portfolio includes International Trade Law, Public Law, and European Economic Law modules across multiple UCP degree programs. As both academic and practitioner (having worked as a lawyer and legal consultant), Campos bridges theoretical scholarship with practical legal application, particularly in EU regulatory compliance and constitutional interpretation. His current work continues to influence Portuguese legal scholarship through ongoing publications and institutional leadership.
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نمایش ۱۶-۳۰ از ۵۰۱ استاد راهنما
اطلاعات پروفایلها از صفحات عمومی دانشگاهها گرفته شده و ممکن است بهروز نباشد.
Pedro R. M. Inácio is an Associate Professor at the University of Beira Interior (UBI) , where he teaches information assurance, cybersecurity, and computer simulation courses in undergraduate and graduate programs. He serves as Pro-Rector for the Digital University and Data Protection Officer at UBI, and leads the Cross Cutting Skills Lab and the Network Security research group at Instituto de Telecomunicações. His work bridges academia and industry, including a PhD at Nokia Siemens Networks Portugal.
Pedro Ferreira is a Professor at Iscte Business School, ISCTE - IUL, Lisbon, Portugal. His academic work spans multiple disciplines including business model innovation, cultural management, digital display systems, and consumer behavior. Key research areas: Business Model Innovation, Cultural Management, Digital Display Systems Interdisciplinary work: Healthcare Management, Energy Efficiency, Sensory Marketing Notable collaborations: Rock in Rio, Ferreira's de Castro Cultural Complex His publications demonstrate ecosystem-based approaches to cultural economics, with applications in virtual reality exhibitions and sustainable business practices. Recent work focuses on technology integration in perfume exhibitions and energy efficiency strategies. Earlier research includes pharmacological studies on P2X7 receptors in colitis and foundational financial accounting textbooks. He has analyzed group buying systems in Portugal and explored intersections between management theory and art. Academic contributions span 45 years, with a 2024 patent on digital display systems and a 1979 report on tomato industry economics. Current affiliations include: Iscte Business School ExecED at ISCTE INDEG-ISCTE Edifício INDEG-ISCTE, Lisbon
Nuno Pereira Lopes is an Associate Professor at Instituto Superior Técnico , part of Universidade de Lisboa , and a researcher at INESC-ID . He also serves as an advisor at FuriosaAI , focusing on tensor contraction processors for AI workloads. Research Interests : Compilers, formal verification of LLVM optimizations, machine learning frameworks, undefined behavior exploitation, probabilistic model checking, blockchain security, and many-core code generation. Teaching : Compilers and Computer/Informatics Engineering projects. Funding : Supported by Google, Matter Labs, NLnet, Oracle, PRACE, RNCA, and Woven by Toyota. Recent Publications focus on LLVM backend validation , PyTorch pipeline parallelism , C++ dynamic cast optimization , undefined behavior in C/C++ , and AI tensor processors . His work bridges compiler design, formal methods, and AI hardware. Academic Service includes representing Portugal in ISO/IEC JTC 1/SC 22 (C++), organizing FLoC'26 , and serving on program committees for PLDI, EuroLLVM, and CGO.
João Miguel Lobo Fernandes is a Full Professor at the Department of Informatics, School of Engineering, University of Minho. He holds a 5-year degree in Informatics Engineering (1991), a Master's in Informatics (1994), and a Ph.D. in Informatics/Computer Engineering (2000) from Universidade do Minho, with a thesis on An object-oriented methodology for embedded systems development . Research interests: Software Modeling, Requirements Engineering, Embedded Software, Software Process, Bibliometrics International collaborations: University of Bristol, Turku Centre for Computer Science (Finland), Aarhus University (Denmark), Universidade Federal de Santa Catarina (Brazil), and others Key projects: iFlow and DIABO logistics platforms (awarded by APLOG) His 160+ peer-reviewed publications focus on software methodologies, embedded systems, and industry collaborations. Recent work includes applications of machine learning in automotive software, feature modeling, and remote work impact studies. He serves on editorial boards for Journal of Information Technology Research and Open Computer Science . 2016 & 2022 Logistics Excellence Awards (APLOG) Organized international events: ACSD, DIPES, GTTSE, PETRI NETS, ICSOB, MOMPES As an academic leader, he directed the 5-year Systems and Informatics Engineering degree (2004-06), Master's in Informatics Engineering (2011-12), and served on Scientific Council of the School of Engineering (2013-16).
Paulo Jorge Freitas de Oliveira Novais is a Full Professor of Computer Science at the Department of Informatics, School of Engineering, Universidade do Minho, where he also holds a Habilitation in Computer Science. He leads the Synthetic Intelligence Lab at ALGORITMI Centre and coordinates the research line on Ambient Intelligence for Well-Being and Health Applications. His research spans Intelligent Systems, Machine Learning, Multi-Agent Systems, and their applications in Smart Cities, Health Informatics, and AI Ethics. PhD in Computer Science, Universidade do Minho, 2003 Habilitation in Computer Science, Universidade do Minho, 2011 Research interests include Ambient Intelligence, Ambient Assisted Living, Intelligent Environments, AI and Law, Conflict Resolution, and Explainable AI. His work focuses on enhancing system intelligence and reliability through novel architectures and ethical frameworks. Recent publications highlight applications in wastewater energy prediction, violence detection, student risk modeling, and urban logistics. Awards include multiple Best Paper and IBM Excellence recognitions across 2015–2023, plus a 2022 Career Recognition Award from the Ibero-American Society of Artificial Intelligence. Senior IEEE Member Chair of IEEE Computational Intelligence Chapter, Portugal IFIP TC 12 Artificial Intelligence Working Group Leadership He has supervised 132 PhD and Master’s students and contributed to editorial boards of journals like JAISE and ComSIS . His leadership roles include coordinating LASI – Intelligent Systems Associate Laboratory and serving as former president of APPIA.
- Robotics
- Multi-Robot Systems
- Autonomous Systems
- +۴ مورد دیگر
Pedro U. Lima is a Full Professor at Instituto Superior Técnico (IST), University of Lisbon, and President of the Institute for Systems and Robotics (ISR/IST), coordinating the Intelligent Robots and Systems group (IRSg). He holds a Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute (1994). His research focuses on intelligent control systems, multi-robot coordination, and human-robot interaction, with contributions to robotics competitions like RoboCup and initiatives like the European Robotics League (E.R.L.). Lima has served as Vice President of the RoboCup Federation, Trustee of IEEE Portugal RAS Chapter, and Portuguese National Delegate to the European Space Agency’s Human Spaceflight Program Board. He led the Cátedra de Excelencia sabbatical at UC3M (2010), contributing decision-theoretic approaches to human-robot interaction. His work integrates robotics with societal impact, including outreach through the Pavilhão do Conhecimento and media appearances. He coordinates large projects like euROBIN (EU Horizon Europe) and CRAI (Portugal’s PRR), advancing robotics in domains like autonomous delivery and social robotics.
Johan Ekerمشاهده پروفایل
استاد مدعو
- Control Theory
- Machine Learning
- Cloud Computing
- +۵ مورد دیگر
Johan Eker is an Adjunct Professor at Lund University and Principal Researcher at Ericsson. He works at the intersection of computer science and control theory, focusing on control of large-scale compute systems, machine learning, and networked control systems. His research includes optimizing cloud deployments, virtualized network functions, and edge computing for industrial applications. He collaborates closely with Ericsson to leverage real-world data and infrastructure. Education & Affiliations: Affiliated with the Department of Automatic Control at Lund University and Ericsson Research. Active in teaching and supervising projects related to systems engineering, machine learning, and control theory. Research Interests: Large-scale systems, control of interconnected systems, distributed control, and applications in industrial IoT and autonomous systems. His work emphasizes scalability and real-time adaptation in complex computing environments. Grants & Collaborations: Involved in projects like WASP (Wallenberg AI, Autonomous Systems Program) and ELLIIT (Excellence Center in Information Technology). Collaborates with Ericsson on cloud computing resource management and network dynamics. Labs & Teams: Engaged with the RobotLab LTH and initiatives like the Nordic University Hub on Industrial Internet of Things (HI2OT). His research bridges academic theory with industrial applications in autonomous systems and cloud optimization.
Associate Professor with Habilitation at the School of Engineering, University of Minho , where he also serves as a Senior Researcher at Centro ALGORITMI. Member of both the IEM R&D Group and LPSL R&D Lab. Education: Degree in Production Engineering (1989) - University of Minho MSc in Computer Integrated Manufacturing (1992) - Loughborough University Ph.D. in Scheduling and Process Planning Integration (1997) - University of Nottingham His research spans Lean Approaches across diverse environments including industry, healthcare, construction, offices, and education. Key focus areas include pull flow methods for complex production environments, stable continuous improvement systems , and the integration of Scrum methodology in educational settings. Recent publications show a clear trend toward applying lean principles in retail logistics, healthcare operations, and sustainability frameworks, with increasing emphasis on performance measurement systems and Science-Based Targets. He has authored the book "Continuous Improvement in Organizations" and published over 100 scientific articles with an h-index of 17 and 1131 citations. His current projects include "HOMLean - Hospital Operations Management" and a Smart Retail initiative with Sonae company funded by PRR program. He actively applies his expertise through project-based learning approaches in engineering education, having documented over ten years of experience with PBL at the University of Minho. His work bridges academic research with practical industry applications, particularly in lean manufacturing implementation across various sectors.
Pedro M. B. Silva Girão is a Full Professor in the Department of Electrical Engineering at Instituto Superior Técnico (IST), University of Lisbon (UL), and a Senior Researcher at Instituto de Telecomunicações where he heads the Instrumentation and Measurements Group and coordinates the Basic Sciences and Enabling Technologies area. His dual institutional roles position him at the forefront of academic research and technological innovation in Portugal. His research program focuses on instrumentation, transducers, and measurement techniques with specialized applications in biomedical and environmental domains. Key interests include wireless sensor networks for health monitoring, metrology standards, and digital data processing methodologies. This work bridges engineering principles with real-world healthcare and ecological challenges, emphasizing practical implementations in diagnostic systems and environmental sensing. Analysis of his 2019-2024 publications reveals a strong thematic trajectory in IoT-enabled healthcare solutions and precision environmental monitoring. Recurring motifs include gait rehabilitation through mixed reality systems, advanced dosimetry for liver cancer radioembolization, microvascular reactivity assessment, and water quality sensor networks. His output demonstrates consistent interdisciplinary collaboration between engineering, medical, and environmental science communities. Dr. Girão's scientific recognition includes: IEEE Senior Member status IEEE IMS Distinguished Lecturer appointment Honorary Chairmanship of IMEKO TC19—Environmental Measurements As leader of the Instrumentation and Measurements Group at Instituto de Telecomunicações, he directs a multidisciplinary team developing next-generation measurement systems. Current initiatives integrate microwave Doppler radar, wearable biopotential sensors, and wireless networks for unobtrusive health monitoring and environmental assessment, with active partnerships across medical institutions and ecological agencies.
Sungsoo Ahnمشاهده پروفایل
استادیار
- Machine Learning
- Molecular Modeling
- Drug Discovery
- +۴ مورد دیگر
Sungsoo Ahn is an Assistant Professor at the Graduate School of AI, KAIST, where he leads the Structured and Probabilistic Machine Learning (SPML) Lab. His research focuses on developing machine learning algorithms for molecular science, particularly in drug discovery, material design, and generative modeling. He directs a team of 13 researchers (including 2 post-docs and 11 students) and maintains collaborations with institutions like Mila and industry partners. His core research integrates probabilistic machine learning , generative models , and AI for science , with applications spanning molecular dynamics simulation, language model reasoning, combinatorial optimization, and graph neural networks. Key methodologies include flow matching, diffusion models, GFlowNets, and equivariant neural networks applied to chemical and biological domains. Recent publications (2023–2025) demonstrate strong emphases on: (1) Molecular generation/optimization for drug design, (2) Enhancing reliability and reasoning in large language models, (3) Graph-based machine learning for scientific discovery, and (4) Efficient training paradigms for generative samplers. These appear predominantly in NeurIPS, ICML, ICLR, and ACL. He advises multiple PhD/master's students and post-doctoral researchers in the SPML Lab. Current research directions include torsion-aware molecular generation, causal AI safety, neural operators for quantum chemistry, and multi-agent systems for molecular optimization.
Rodrigo Miragaia Rodrigues is a full professor at the Instituto Superior Técnico (ULisboa) and a researcher at INESC-ID since 2015. He previously held roles as an associate professor at Universidade Nova de Lisboa, tenure-track faculty at MPI-SWS, and completed his PhD at MIT in 2005 under Barbara Liskov. Education: PhD in Computer Science, MIT, 2005 Research Interests: Focuses on distributed systems, fault-tolerant computing, cloud infrastructure, and consistency models. His work bridges theoretical foundations and practical implementations, addressing challenges in geo-replication, secure analytics, and resource allocation in serverless environments. He emphasizes scalable systems and resilient data management. Awards: Best Paper Award at SOSP ERC Starting Grant Google Faculty Research Award Advising & Grants: Has advised 7 PhD students as main advisor, with graduates in top institutions like Purdue, TU Munich, and USTC. Secured funding from the European Research Council (ERC) and Google, focusing on projects like DependableCloud (ERC Grant 307732). Labs & Teams: Leads research at INESC-ID and previously directed the Dependable Systems Group at MPI-SWS. Active in academic leadership roles, including President of the Scientific Council at IST.
- Computer Science
- Evolutionary Biology
- Economics
- +۱۰ مورد دیگر
Francisco C. Santos is a Full Professor at Instituto Superior Técnico (IST), University of Lisbon, and currently serves as Vice-President of the Portuguese Science Foundation (FCT). He holds a PhD in Computer Science from Université Libre de Bruxelles (ULB), Belgium, where he was a Marie Curie Fellow. His research spans computer science, evolutionary biology, economics, and physics, focusing on cooperation dynamics, environmental governance, network science, and AI's societal impact. He leads the GAIPS and ATP research groups at INESC-ID, Lisbon. Education PhD in Computer Science, Université Libre de Bruxelles (ULB), Belgium (Marie Curie Fellowship) FNRS Senior Researcher at ULB's Machine Learning Group Research Interests His work bridges AI, complex systems, and social dynamics. Key areas include: - Evolution of cooperation and social norms - Climate governance and collective-risk dilemmas - Network science and urban planning - Machine learning and robotics applications Awards Young Scientist Award (German Physical Society) CGD/ULisbon Prize in Computer Science AAAI Blue Sky Award IST Teaching Excellence Awards (multiple) Advising & Grants Supervised over 30 PhD and MSc students, many of whom have gone on to prestigious postdocs and academic roles. Co-headed research groups and led projects funded by FCT-Portugal and EU initiatives. Labs & Teams Leads the Group of Artificial Intelligence for People and Society (GAIPS) and the ATP interdisciplinary group at INESC-ID. Collaborates internationally on AI ethics and environmental policy.
- Monetary Economics
- Fiscal Policy
- Public Finance
- +۷ مورد دیگر
Pedro Teles is a Full Professor at Católica Lisbon School of Business and Economics, a researcher at Banco de Portugal, and a Research Fellow of the Centre for Economic Policy Research (CEPR). His academic career spans institutions including the Federal Reserve Bank of Chicago, Universitat Pompeu Fabra, and University College London. His research focuses on monetary and fiscal policy, taxation, sovereign debt, and international economics. PhD in Economics, University of Chicago BSc in Economics, Universidade Católica Portuguesa His research explores critical questions in macroeconomics, including: Optimal monetary-fiscal policy frameworks Implications of sticky prices and long-term interest rate targets Taxation strategies for housing, robots, and high-skill immigrants Sovereign default risk and inflation stabilization Monetary theories and policy relevance in modern economies Recent publications address AI regulation (2023), global taxation coordination (2023), and post-pandemic urban economics (2023), demonstrating interdisciplinary applications across macroeconomics, public finance, and technology policy. His work frequently appears in top journals like Journal of Monetary Economics and Review of Economic Studies. Scientific distinctions include: CEPR Research Fellow He has collaborated extensively with institutions such as NBER, Banco de Portugal, and ADEMU, contributing to debates on unconventional policy measures during crises and the design of stable monetary systems.
Felipa de Mello-Sampayo is an Assistant Professor in the Department of Economics at ISCTE - University Institute of Lisbon and an integrated researcher at BRU-Iscte (Business Research Unit). She specializes in health economics, spatial analysis, and microeconomic modeling with applications across various social science domains. Her research bridges theoretical economic frameworks with empirical applications to address real-world healthcare and policy challenges. Dr. de Mello-Sampayo earned her Aggregation in Economics from the University of Lisbon's Higher Institute of Economics and Management in 2024, following a PhD in Economy from the University of Birmingham (2001), a Master's degree in International Economy from the same institution (1998), and a Bachelor's degree in Management from the Higher Institute of Economics and Management - UTL (1994). Her doctoral thesis was published in The British Library. Her research focuses on microeconomic models and their empirical applications, particularly in health economics and spatial analysis. She has made significant contributions to understanding healthcare accessibility through spatial interaction models, cost-effectiveness of medical interventions, and the economic implications of healthcare delivery systems. Her work often examines decision-making under uncertainty, applying real options theory to healthcare contexts. She has coordinated research projects including 'Health and Economic Growth' (PTDC/EGE-ECO/104157/2008) funded by the Foundation for Science and Technology (FCT), and has co-edited special issues for journals including Sustainability and the International Journal of Environmental Research and Public Health. Analysis of her 15 most recent publications reveals a consistent focus on spatial econometrics applied to healthcare accessibility, cost-effectiveness analysis of medical interventions, and economic modeling of healthcare decision-making. Her work spans diverse geographic contexts including Portugal, the United States (particularly Texas), BRICS countries, and China. A distinctive feature of her research is the application of spatial interaction models to healthcare accessibility questions and the use of real options theory to analyze timing decisions in medical contexts. Dr. de Mello-Sampayo is affiliated with the Data Analytics Group at ISCTE and contributes to the BRU-Iscte research unit. Her work demonstrates strong interdisciplinary connections between economics, public health, spatial analysis, and healthcare management, with publications appearing in high-quality journals across these fields.