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Johan EkerView profile

Adjunct Professor

• Control Theory
• Machine Learning
• Cloud Computing
• +5 more

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.

• Lean Manufacturing
• Continuous Improvement
• Operations Management
• +4 more

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 GirãoView profile

Professor

• Instrumentation
• Transducers
• Wireless Sensor Networks
• +6 more

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.

• Machine Learning
• Molecular Modeling
• Drug Discovery
• +4 more

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.

• Distributed Systems
• Cloud Computing
• Fault Tolerance
• +3 more

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.

Francisco Correia dos SantosView profile

Professor

• Computer Science
• Evolutionary Biology
• Economics
• +10 more

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.

António Nestor RibeiroView profile

Assistant Professor

• Software Engineering
• Object-Oriented Modeling
• Program Analysis
• +4 more

António Nestor Ribeiro is an Assistant Professor at the Department of Informatics, University of Minho, Portugal, and holds the role of Senior Researcher at the High-Assurance Software Centre (INESC TEC) since 2011. He earned both his MSc (1998) and PhD (2008) in Computer Science from the University of Minho. His research focuses on object-oriented modeling, program analysis, and requirements engineering for large-scale systems. He is affiliated with the High Assurance Software Laboratory Research Group and the Large Scale Distributed Systems Group. His work emphasizes software architecture reengineering, middleware development, and low-code platforms. He teaches model-driven engineering and has supervised numerous theses on microservices, distributed systems, and API platforms. Key research contributions include studies on HCI integration in software education, performance evaluation of microservices, cognitive models for usability in low-code platforms, and entrepreneurship education for informatics students. He has published in venues like HUMAN FACTORS and the EUROPEAN JOURNAL OF ENGINEERING EDUCATION. Education: PhD in Computer Science (University of Minho, 2008) Research Groups: High Assurance Software Lab, Large Scale Distributed Systems Group Teaching: Model-Driven Engineering courses His recent supervised theses address topics like microservices architecture principles, middleware integration, and API democratization platforms. He actively collaborates on industry projects, including Bosch process-support applications and telemonitoring systems for chronic diseases.

Francisco Almeida MaiaView profile

Researcher

• Distributed Systems
• Cloud Computing
• Large Scale Data Management
• +3 more

Francisco Almeida Maia is a Senior Researcher at HASLab (High Assurance Lab) affiliated with the University of Minho and INESC TEC. His research focuses on distributed systems, cloud computing, large-scale data management, and gossip-based protocols. He holds a Ph.D. in Computer Science from the MAP-i Doctoral Program (Universities of Minho, Aveiro, and Porto, 2015), advised by Professor Rui Oliveira. His doctoral work introduced DataFlasks, a scalable and resilient data store for large-scale systems using gossip protocols. Current research explores enhancing DataFlasks’ guarantees while maintaining scalability. Education: Ph.D. in Computer Science, MAP-i Doctoral Program (2015) Research Interests: Distributed systems security, privacy-aware cloud storage, scalable data architectures, and fault-tolerant protocols. Recent work emphasizes secure multi-cloud databases and distributed system testing frameworks. Publications: Focus on scalable systems, privacy in distributed environments, and testing methodologies. Notable contributions include d'Artagnan (secure NoSQL on untrusted clouds) and Minha (large-scale distributed testing). Advising & Grants: Supervised two theses at INESC TEC. Active in collaborative projects on distributed systems and security. Labs/Teams: Core member of HASLab, contributing to interdisciplinary research on high-assurance software and distributed computing.

• Robot Vision
• Robot Navigation
• Computer Vision
• +7 more

Helder Araujo is a Professor at the Department of Electrical and Computer Engineering, University of Coimbra. His research focuses on Robot Vision , Computer Vision , and Medical Imaging , with applications in Capsule Endoscopy , Autonomous Driving , and Sensor Fusion . Recent publications highlight advancements in 3D Object Detection using transformer networks (e.g., RetSeg3D , DDet3D ), Medical Robotics (e.g., Self-supervised monocular pose estimation ), and Federated Learning (e.g., FAIR-FATE ). Key subfields include Transformer Models , Deep Learning , and Autonomous Navigation . His projects span Medical Imaging (e.g., Multi-Cam Capsule Endoscopy ), Autonomous Robotics (e.g., Learning to Navigate Endoscopic Capsule Robots ), and Edge Computing (e.g., Benchmarking CNN Inference on Low-Power Devices ). Grants include funding from Fundação para a Ciência e a Tecnologia (e.g., PTDC/EEI-ROB/1155/2020) and the European Commission (e.g., AdvanCed Hardware/Software Components for Embedded Vision). He has served as an invited researcher at Université Blaise Pascal (2012–2014). Peer review activities cover journals like IEEE Transactions on Pattern Analysis and Machine Intelligence and Autonomous Robots . His work bridges Medical Imaging , Autonomous Systems , and AI Fairness .

• Agent-Based Modeling
• Social Simulation
• Computational Ethics
• +10 more

Nuno David is an Associate Professor at ISCTE - Instituto Universitário de Lisboa, affiliated with the Department of Information Science and Technology within the School of Technologies and Architecture. He is also an Integrated Researcher at DINÂMIA'CET-Iscte, focusing on socioeconomic change and territory. He serves as the Data Protection Officer at Iscte and chairs the Ethics Committee of the School of Technologies and Architecture, while also being a member of the university-wide Ethics Council. PhD in Computing, Faculty of Sciences, University of Lisbon (2005) Master's degree in Agent-Based Social Simulation, University of Lisbon Undergraduate degree in Electrical Engineering – Computer Science, University of Coimbra His research spans agent-based modeling , social simulation , computational ethics , privacy , and the philosophy of computer science , with a focus on the epistemology of computational social science. He investigates how computational methods influence social science theories and methodologies. His recent publications highlight a consistent focus on ethical dimensions of simulation, disaster response modeling (e.g., tsunami evacuation), and digital governance. Articles frequently appear in high-impact journals such as Journal of Artificial Societies and Social Simulation , AI & Society , and Geosciences , reflecting interdisciplinary engagement across computer science, social sciences, and ethics. Member, Ethics Committee, ISCTE (2020–2026) Data Protection Officer, ISCTE (since 2018) Coordinator, multiple ethics and cybersecurity courses in Master’s and Bachelor’s programs Nuno David leads and participates in significant research initiatives, including the Research Data Management Center for SSH (RDMC-SSH) and the Re.Data network , both focused on research data infrastructure. He is also involved in the EU-funded ManagiDiTH master’s program, aimed at digital transformation in healthcare. His work integrates academic research with practical policy and institutional governance, particularly in data protection and research ethics. He has contributed to multiple projects on e-government in developing contexts, especially in Mozambique, and has developed tools for analyzing academic collaboration networks. His teaching includes courses on simulation, programming, and professional ethics in computing.

Manuel DamásioView profile

Professor

• Film Studies
• Media Arts
• European Film Markets
• +6 more

Manuel Damásio is a Tenured Professor at the University of Minho and Director of the Department of Cinema and Media Arts at Lusófona University in Lisbon, Portugal. He serves as Coordinator of the European University for Film and Media Arts (FILMEU), Chair of the European Association of Film and Audiovisual Schools (GEECT), and Member of the Executive Committee of CILECT. His academic work spans film studies, media arts, and communication, with a particular focus on European film markets and audience research. Dr. Damásio earned his PhD in Communication from Universidade Nova de Lisboa. His academic journey has led him to prominent leadership roles in European film education initiatives, including coordinating the FilmEU project under the European Universities Initiative (EPP-EUR-UNIV-2020). His research interests center on film and media studies with emphasis on European film markets, audience engagement, cultural diversity in audiovisual content, and digital media. Dr. Damásio has extensively studied Portuguese television, particularly soap operas, examining their cultural significance and production practices. His work also intersects with health communication, exploring how media technologies can promote health behavior change, and digital literacy, especially among older populations. Analysis of his recent publications reveals a strong focus on European film markets, particularly examining how small European countries' films are represented on streaming platforms. His research increasingly incorporates AI-powered methods for audience research and explores the future of film education in Europe within the context of the European Universities Initiative. Dr. Damásio leads multiple significant research projects including WIRE FilmEU (2023-2028), FilmMemory (2023-2029), FilmEU Plus (2023-2027), REPLAY (2023-2029), and CresCine (2023-2026), all focused on advancing film and media arts education and research across European institutions. He is actively involved in numerous research collaborations through CICANT (Research Center for Applied Communication, Culture and New Technologies), ECATI (School of Communication, Architecture, Arts and Technologies), and COPELABS (Research Center for Human-Centered Computing and Cognition), where he contributes to interdisciplinary research at the intersection of media, technology, and society.

• Computer and networked systems security
• Systems security and privacy
• Trusted execution environments
• +6 more

Nuno Santos is an Associate Professor in the Department of Computer Science and Engineering at Instituto Superior Técnico (IST), University of Lisbon, and a senior researcher at INESC-ID Lisbon, where he leads the SysSec team within the Distributed, Parallel and Secure Systems (DPSS) group. He is an active member of the international security community, serving as Program Vice Co-Chair for USENIX Security 2025 and on program committees for top venues such as IEEE S&P, CCS, and USENIX Security. Education: Ph.D. in Computer Science, 2013 – Max Planck Institute for Software Systems (MPI-SWS) & Saarland University Research internships at Microsoft Research Redmond (2010), Vrije Universiteit Amsterdam (2018), and Technical University of Munich (2024) Research Interests Nuno Santos’s research centers on the security and privacy of computer and networked systems, with particular emphasis on trusted execution environments, secure systems design, and the intersection of machine learning with security. His group investigates vulnerabilities and defenses in widely deployed platforms, including TrustZone, JavaScript runtimes, and cloud infrastructures. Additional themes include censorship-resistant communication, privacy-preserving analytics, and automated exploit generation. Recent Publication Trends Over the past five years, his work has increasingly targeted emerging threat models in confidential computing (AMD SEV-SNP, Intel TDX), large-language-model integration into web applications, and automated security analysis of JavaScript ecosystems. These publications consistently appear in the most selective venues (PLDI, SIGMETRICS, ICSE, NDSS, S&P, USENIX Security), evidencing strong empirical evaluation and real-world impact. Awards & Honors IST Outstanding Teaching Award (2019/2020) ISOC.PT Best Portuguese Internet Research Award (2024) Prémio Científico Universidade de Lisboa / Caixa Geral de Depósitos (2024) Multiple IST Teaching Excellence Awards Advising & Service Nuno Santos has supervised numerous MSc and PhD students whose theses span secure systems, network privacy, and trustworthy computing. Recent defenses include Bernardo Ribeiro, Cristi Savin, Hugo Mantinhas, João Aragonez, João Sá, and Tomás Tavares. He actively participates in doctoral committees and mentors junior researchers within the DPSS group. Labs, Teams & Collaborations He leads the SysSec team inside the Distributed, Parallel and Secure Systems (DPSS) group at INESC-ID Lisbon. The team maintains strong collaborative ties with MPI-SWS, VUSec at VU Amsterdam, the Systems Research Group at TU Munich, and multiple industry partners including Microsoft Research.

• Embedded real-time systems
• Computer architectures
• Hardware/software co-design for IoT
• +5 more

Tiago Manuel Ribeiro Gomes is an Assistant Professor at the Department of Industrial Electronics within the School of Engineering at the University of Minho, Portugal. He is also a Senior Researcher at Centro ALGORITMI and a member of both the IE R&D Group and the ESRG R&D Lab. Holding a Ph.D. in Electronics and Computers Engineering, his research focuses on embedded real-time systems, computer architectures, and hardware/software co-design for IoT devices. Academic Degree: Ph.D. in Electronics and Computers Engineering Current Position: Assistant Professor, School of Engineering, University of Minho Gomes has led extensive research in IoT systems over 15 years, particularly in hardware acceleration for automotive LiDAR sensors, secure embedded systems, and efficient OS frameworks for low-end devices. His work includes the EU-funded CROSSCON project and spans hardware-assisted security, dynamic binary translation, and wireless sensor networks. Recent publications highlight his expertise in automotive sensor technology, with articles like FOG-Zip for LiDAR compression, SecureQNN for TinyML security, and Hardware-Assisted Range Image Generation for LiDAR processing. His work bridges IoT, embedded systems, and cybersecurity, focusing on real-time performance and hardware-software co-design. Projects include the development of reliable/secure automotive sensor solutions and EU project CROSSCON. He contributes to open-source frameworks like UTango for IoT security and investigates heterogeneous fault tolerance architectures using Arm/RISC-V processors. Labs: IE R&D Group, ESRG R&D Lab Education: Ph.D. in Electronics and Computers Engineering, Master’s in Telecommunications Engineering (both from University of Minho)

Mario CaldeiraView profile

Professor

• Information Systems
• Cybersecurity
• Quantum Technologies
• +7 more

Mário Caldeira is a faculty member at ISEG – Lisbon School of Economics and Management, University of Lisbon (ULisboa), where he teaches and conducts research in information systems, digital transformation, and cybersecurity. He also holds a professional role as Associate Partner at Deloitte Technology, Portugal, bridging academic insights with industry practice. Institution: University of Lisbon School: Lisbon School of Economics and Management Professional Affiliation: Deloitte Technology, Portugal His research focuses on the strategic use of information systems in organizations, with recent emphasis on quantum technologies and their implications for cybersecurity. Key areas include post-quantum cryptography, big data analytics, digital transformation, and enterprise IT governance. His work often employs case study methodology across sectors such as banking, telecommunications, and public administration. His recent publications (2024) highlight the urgency of preparing for quantum-enabled cyber threats. These works analyze how quantum computing may break classical encryption and advocate for organizational readiness through post-quantum cryptography and quantum key distribution. Earlier research explores benefits realization from IT implementations, CRM adoption, and robotic process automation, showing a consistent focus on deriving business value from technology investments. He has supervised over a dozen Master’s and PhD students on topics including RPA in banking, ERP systems, big data in healthcare, and quantum technology impacts. His teaching portfolio includes courses such as Digital Transformation and Sustainability, Management Information Systems, Enterprise Analytics, and Research & Development Seminars at both undergraduate and graduate levels. João Nuno Esteves Pina – Framework for ISO/IEC 27001 implementation Maria Paula Bastos da Silva Batista – Dual-use IP and export controls Flávio Alexandre Costa Romão – Big data business benefits Ana Isabel Manuel Duarte – Socioeconomic impact of quantum tech in Portugal His scientific contributions span journals such as the Journal of Information System Security , European Journal of Management Studies , and Industrial Management and Data Systems . Conferences include MCIS and UKAIS. His work reflects a strong applied orientation, combining theoretical rigor with practical relevance in technology management and information security.

• Artificial Intelligence
• Distributed Computing
• Energy Communities
• +3 more

Rafael Duarte Pereira da Silva is a Research Fellow at the Research Group on Engineering and Intelligent Computing for Innovation and Development (GECAD) within the School of Engineering of the Polytechnic Institute of Porto. He is currently pursuing his doctoral degree in Artificial Intelligence and Intelligent Systems Engineering while developing AI-driven solutions for energy communities and smart buildings. His academic background includes: Master's degree in Artificial Intelligence Engineering (2025) from the Polytechnic Institute of Porto, with a dissertation on "Distributed Intelligent Management of Citizen Communities" (grade: 19/20). Bachelor's degree in Computer Engineering (2022) from the Polytechnic Institute of Porto, featuring a green computing project for smart building energy management. Currently enrolled in a doctoral program in Artificial Intelligence and Intelligent Systems Engineering (since 2025). Rafael's research spans Artificial Intelligence, Distributed Computing, and Energy Communities, focusing on human-centric intelligent systems for resource optimization. He develops virtual energy communities using IoT devices and AI models to enable dynamic interaction with community members while managing distributed resources. His work emphasizes sustainability through green computing principles and integration of renewable energy sources in smart infrastructure. His 2024-2025 publications reveal a cohesive research trajectory centered on the Caravels framework for decentralized energy management. Key themes include container-based infrastructure for community resource sharing, peer-to-peer energy trading with storage optimization, and AI-driven demand response systems. His work bridges theoretical AI models with practical IoT implementations, particularly in energy forecasting and HVAC control, demonstrating significant contributions to sustainable consumption in smart buildings and community-scale energy systems. Advising Co-supervised three undergraduate thesis projects at the Polytechnic Institute of Porto on IoT notification systems, Linux-based single-board computer configuration, and open-source IoT devices for smart buildings. Grants and Projects Sa4CPS: Secure situational awareness for critical cyber-physical systems (COMPETE2030-FEDER and ITEA) NGS: New Generation Storage (PRR initiative) TIoCPS: Trustworthy and Smart Communities of Cyber-Physical Systems (P2020 and ITEA programs) As an active GECAD member, Rafael contributes to server infrastructure management and organizes scientific events, including public demonstrations that secured the group's "Excellent" FCT evaluation rating. He has coordinated annual team energizing events for two consecutive years and participated in developing virtual energy community systems that showcase GECAD's research impact in distributed computing and IoT integration.