جست‌وجوی استاد و پژوهشگر

• Applied and Computational Mathematics
• Parallel Scientific Computing
• Computational Physics
• +۸ مورد دیگر

Juan Antonio Acebrón Torres is an Assistant Professor in the Department of Information Science and Technology at ISCTE-Instituto Universitário de Lisboa (ISCTE-IUL), Portugal, and a researcher at INESC-ID. He is affiliated with the School of Technology and Architecture and actively contributes to research in computational mathematics and high-performance computing. PhD in Mathematical Engineering, Universidad Carlos III de Madrid, 2000 MS in Theoretical Physics, Universidad Autónoma de Madrid, 1994 His primary research interests include applied and computational mathematics, parallel scientific computing, Monte Carlo methods, probabilistic domain decomposition, and nonlinear physics. He develops scalable algorithms for solving partial differential equations and stochastic systems, with applications in computational physics and linear algebra. His work emphasizes efficiency and parallelization for petascale and distributed computing environments. The most recent publications demonstrate a consistent focus on Monte Carlo-based numerical solvers, particularly for matrix functions and PDEs. Key themes include probabilistic domain decomposition, multilevel Monte Carlo methods, random trees, and high-performance implementations. These works appear in top-tier journals like Journal of Computational Physics , SIAM Journal on Scientific Computing , and Future Generation Computer Systems , indicating strong interdisciplinary impact. Associate Editor, Axioms Acebrón has supervised multiple postdoctoral, PhD, and Master’s students, including Francisco Bernal Martinez and Angel Rodriguez-Rozas. His research has been supported through institutional affiliations and collaborative projects. He has not received any explicitly mentioned scientific awards in the provided text. He leads a research group focused on probabilistic numerical methods and high-performance computing, with ongoing projects involving Monte Carlo solvers for matrix functions and PDEs. A postdoctoral position is currently open in his team, indicating active research expansion.

• Computer Networks
• Software-Defined Networking (SDN)
• Network Security
• +۵ مورد دیگر

Fernando Ramos is an Associate Professor at the Higher Technical Institute (University of Lisbon) in the Department of Computer Engineering . His work focuses on Software-Defined Networking (SDN) , Network Security , and Machine Learning applications in networking . Teaches courses: Master's Dissertation in Telecommunications and Computer Engineering Introduction to Computer Architecture Computer Organization Advanced Topics in Networks and Distributed Systems Ramos is actively involved in research on malicious traffic detection , network virtualization , and fault-tolerant systems . Recent projects include Peregrine (ML-based security) and FlowLens (efficient traffic classification). His publications highlight trends in programmable data planes , multi-cloud security , and energy-efficient networking , with notable work on Random Linear Network Coding and Secure Network Monitoring .

• information systems
• knowledge management
• open innovation
• +۷ مورد دیگر

Isabel Maria Pinto Ramos is an Associate Professor with Habilitation at the Department of Information Systems, School of Engineering, University of Minho , where she leads the ISTTOS R&D Lab and contributes to the Algoritmi Research Centre . She has held leadership roles including Head of Department of Information Systems and President of the Portuguese Association for Information Systems . Her career spans academic, research, and international collaboration roles, including a Visiting International Professor position at the University of Münster, Germany. Academic Leadership : Doctoral Programme Director (2014-2019), IFIP TC8 Chair (2019-2023), Vice President for Membership Services at Association for Information Systems (2022-2025) Research Themes : Innovation management, knowledge systems, digital transformation, crowdsourcing, organizational memory, gender in STEM, and technology's socio-cultural impacts International Engagement : Collaborations with Carnegie-Mellon, University of Agder, Georgia State, and Federal University of Santa Catarina through research projects and mobilities Scientific Recognition : IFIP Outstanding Service Award (2009) IFIP Silver Core Award (2013) IIAKM Lifetime Academic Achievement (2021) Editorial Contributions : Associate Editor for Communications of the AIS (since 2020), editorial board member for Enterprise Information Systems , International Journal of Knowledge Engineering , and Revista de Administração Mackenzie Project Involvement : ERASMUS+, Horizon 2020, FP7 programs with focus on digital workplaces, knowledge management, and organizational resilience Her scientific output demonstrates consistent exploration at the intersection of Information Systems and Organizational Innovation , with recent works focusing on Digital Transformation (2021-2025), Crowdsourcing Platforms (2009-2016), and Organizational Memory (2005-2014). The 2023-2025 publications particularly emphasize Smart City Resilience , Multigenerational Workforce Challenges , and AI Development Democratization .

Miguel Pardalمشاهده پروفایل

استادیار

• Cybersecurity
• Internet of Things (IoT)
• Cloud Technologies
• +۵ مورد دیگر

Miguel Pardal is an Assistant Professor at the Instituto Superior Técnico, Universidade de Lisboa, where he has been teaching since 2002. His research focuses on Cybersecurity, IoT, and Cloud Technologies, with recent projects exploring Blockchain technologies (launched in 2023) and intrusion recovery systems. He is also affiliated with INESC-ID, a leading research institution in Lisbon. Education: Licenciatura em Engenharia Informática, Instituto Superior Técnico (2000) Mestrado em Engenharia Informática, Instituto Superior Técnico (2006) Research Interests: Cybersecurity, IoT Security, Cloud Infrastructure, Intrusion Detection and Recovery, Blockchain Applications, and Secure Communication Protocols. His work emphasizes practical solutions for critical systems, including industrial process specifications and decentralized identity management. Recent Articles: Focus on intrusion recovery mechanisms, decentralized systems, and secure communication protocols. Key themes include vulnerability-tolerant TLS, fault-tolerant microservices, and AI-driven algorithm synthesis. Awards: None explicitly listed, though his extensive publication record reflects recognition in cybersecurity and IoT fields. Advising & Grants: Active in guiding students through workshops on LaTeX and research methodologies. Collaborates on EU-funded projects like SafeWalk and CrossCity location proofs. INESC-ID provides infrastructure for his lab-based research. Labs/Teams: Part of INESC-ID's Cybersecurity group, contributing to projects like SPATIO and MACHETE.

Ana Madureiraمشاهده پروفایل

استاد

• Artificial Intelligence
• Data Science
• Data Engineering
• +۴ مورد دیگر

Ana Madureira is a distinguished Professor Coordinator and Director of the Interdisciplinary Research Center (ISRC) at the Porto Polytechnic School of Engineering (ISEP/IPP). With extensive leadership experience in academic and professional organizations, she currently serves in key roles including membership on the External Member Evaluation Committee of Portugal's Higher Education Evaluation and Accreditation Agency A3ES in the field of Informatics Sciences since 2012. Her educational background includes: Bachelor's degree in computer engineering from ISEP (1993) Master's degree in electrical and computer engineering - industrial informatics from FEUP (1996) Doctorate in production and systems from the University of Minho, Portugal (2003) Professor Madureira's research spans the cutting edge of computational intelligence with primary focus on artificial intelligence, data science/data engineering, machine learning/deep learning, optimization techniques, and metaheuristics. Her work bridges theoretical advancements with practical industrial applications, particularly in production systems and engineering contexts. The trajectory of her research demonstrates a consistent evolution from foundational computer engineering principles toward increasingly sophisticated AI methodologies applicable to complex real-world problems. Her scholarly impact is reflected in over 150 scientific publications spanning conference proceedings, journals, and books. Analysis of her publication trends reveals a strategic progression from traditional optimization techniques toward contemporary deep learning approaches, with consistent application to industrial informatics challenges. Her work shows particular strength in adapting computational intelligence methods to practical engineering constraints. Senior Member of the IEEE (2010) Professor Madureira's professional service extends beyond her institution through significant contributions to the IEEE organization, having served as President of the IEEE Portugal Section (2015-2017), Vice President of the IEEE Portugal Section (2011-2014), and in various other leadership capacities including Secretary of the IEEE R8 (2019-2020). Her evaluation committee work with A3ES demonstrates her recognized expertise in higher education quality assurance for informatics disciplines. As Director of the Interdisciplinary Research Center at ISEP/IPP, she leads initiatives that foster cross-disciplinary collaboration, particularly at the intersection of computer science, engineering, and industrial applications. Her leadership in this center has positioned it as a hub for innovative research in computational intelligence applied to real-world challenges.

Gonçalo Perdigãoمشاهده پروفایل

مدرس مشاور

• Generative Artificial Intelligence
• Web3.0
• E-Commerce
• +۳ مورد دیگر

Gonçalo Perdigão holds an affiliation with the Iscte Business School at ISCTE - Instituto Universitário de Lisboa. He graduated in Electrical and Computer Engineering from Instituto Superior Técnico, where he taught Mathematics, and has a postgraduate degree in Finance from Universidade Nova de Lisboa. Over 20 years of professional experience spans Telecommunications, Entertainment, Fintech, and Retail sectors, focusing on strategy, digital product management, and technology leadership roles. Parallel to this, he has launched and supported multiple disruptive startups, generating patents and strategic exits. Currently, he serves as a consultant specializing in digital strategy, market entry, and innovation, with expertise in Generative AI, Web3.0, e-Commerce, and Venture Building. His insights frequently appear in prominent Portuguese media. Education history includes: Bachelor's in Electrical and Computer Engineering (Instituto Superior Técnico) Postgraduate in Finance (Universidade Nova de Lisboa) Research interests emphasize digital transformation, emerging technologies, and strategic innovation, leveraging cross-industry experiences to advise organizations on cutting-edge solutions. His startup ventures and R&D collaborations with institutions like the European Space Agency and University of Cambridge underscore a commitment to impactful technology application. No specific scientific awards or grants are highlighted in the provided information. His advisory work focuses on corporate strategy and digital product development, supported by extensive cross-sectoral experience. While no active lab affiliations are mentioned, his consultancy engagements often involve collaborative teams addressing frontier tech applications.

José Orlando Pereiraمشاهده پروفایل

دانشیار

• Dependable Distributed Systems
• Data Management
• Database Replication
• +۷ مورد دیگر

José Orlando Pereira is an Associate Professor at the Department of Informatics, University of Minho, and Research Coordinator at INESC TEC (INESC Technology and Science). His primary research interests lie in dependable distributed systems, with a focus on data management, group communication protocols, and tools for distributed system evaluation. He leads the High-Assurance Software Laboratory (HASLab) , part of INESC TEC and the University of Minho. Roles: Academic supervisor, conference committee member (e.g., SRDS 2025 General Co-Chair), and grant recipient (e.g., ADAPQO funding from CMU Portugal 2024). Key Projects: Includes CYBERACTIONING (cybersecurity education), EUMaster4HPC (European HPC master's program), and AIDA (adaptive assurance platform). Research Themes: Database replication, georeplicated systems, consensus protocols, edge computing, and fault injection tools like LAZYFS. His work emphasizes practical applications, such as improving transactional performance in hybrid workloads (TiQuE) and designing scalable NoSQL middleware (CloudMdsQL). He has authored over 200 publications, including seminal contributions to gossip protocols (HyParView) and consensus algorithms. Awards: Honorable Mention at ACM SIGMOD 2025 for CRDV research. Active in organizing conferences such as SRDS, DSN, and EuroSys. Teaching: Offers advanced courses on distributed systems, database administration, and large-scale data replication at both undergraduate and graduate levels.

Luís Paulo Santosمشاهده پروفایل

استادیار

• Computer Graphics
• Quantum Computing
• Parallel Computing
• +۳ مورد دیگر

Luís Paulo Santos is an Assistant Professor at the Department of Informatics, Universidade do Minho, and a Senior Researcher at CSIG, INESC-TEC. His research focuses on rendering, global illumination, and quantum algorithms, particularly in optimizing computational efficiency through heterogeneous parallel computing and quantum techniques. He has authored a book on Bayesian Monte Carlo Rendering and contributed to international conferences as a committee member. His work bridges quantum computing with computer graphics and reinforcement learning. Research interests include quantum ray tracing, variational quantum algorithms, and the application of quantum mechanics to solve complex computational problems. He has organized six international conferences in Portugal and served as Associate Editor of Computers & Graphics and President of the Portuguese Group of Computer Graphics (2017-2018). Publications emphasize quantum computing advancements in rendering and reinforcement learning, exploring topics like Hessian recycling in quantum algorithms and gradient optimization challenges. His work highlights the potential of quantum methods to reduce computational complexity in graphics and machine learning. Advising includes guiding students in quantum optimization and reinforcement learning, with notable supervised theses on quantum algorithms and applications. He has held leadership roles in academic administration, including Vice Director of the Department and Director of the Doctoral Programme on Informatics. Current affiliations include the High-Assurance Software Centre at INESC-TEC and collaboration with the United Nations University on electronic governance initiatives.

• Real-Time Systems
• Operating Systems
• Multiprocessor Architectures
• +۳ مورد دیگر

Cláudio Maia is a Lecturer and Integrated PhD Researcher at the Department of Electrical and Computer Engineering, University of Porto, Portugal. He holds a BSc and MSc in Computer Engineering from the School of Engineering, Polytechnic Institute of Porto, and a PhD in Electrical and Computer Engineering from the University of Porto (2018). His research focuses on real-time operating systems, hypervisors, multiprocessor architectures, and real-time scheduling theory, particularly addressing challenges in parallel task scheduling and resource contention in multicore platforms. Education: Bachelor’s Degree (B.Sc.) in Computer Engineering, School of Engineering, Polytechnic Institute of Porto Master’s Degree (M.Sc.) in Computer Engineering, School of Engineering, Polytechnic Institute of Porto PhD in Electrical and Computer Engineering, University of Porto (2018) Research interests include real-time systems, multiprocessor scheduling theory, and embedded systems. He has contributed to the development of scheduling models such as the AER execution model and semi-partitioned scheduling with work-stealing for fork-join tasks. His work addresses interference mitigation in shared-resource environments and WCRT (Worst-Case Response Time) analysis for parallel real-time tasks. Cláudio has participated in numerous conferences and workshops, including ETFA, RTNS, and CPS Week, where he has presented research and served on program committees. He has also delivered seminars on topics like work-stealing dynamics and parallel task scheduling in real-time systems. His research is affiliated with the CISTER Research Centre, focusing on embedded and real-time systems. Key technical contributions include improving schedulability analysis for the 3-phase task model, addressing bus contention in multiprocessor systems, and exploring WCRT bounds in multicore platforms. His work bridges theoretical scheduling models with practical implementations, emphasizing predictability and performance in real-time environments.

Luis Miguel Nogueiraمشاهده پروفایل

استاد

• Dynamic Distributed Real-time Systems
• Quality of Service
• Ad-hoc Networks
• +۳ مورد دیگر

Luis Miguel Nogueira is a Professor and Integrated PhD Researcher at the Department of Computer Engineering, School of Engineering, Polytechnic Institute of Porto, Portugal. He holds a PhD in Informatics (Systems and Networks) from the University of Porto (2009), an MSc (2002), and a BSc (2000) in Computer Engineering from the Polytechnic Institute of Porto. Education: BSc in Computer Engineering, School of Engineering, Polytechnic Institute of Porto (2000) MSc in Informatics, Faculty of Science, University of Porto (2002) PhD in Informatics (Systems and Networks), Faculty of Science, University of Porto (2009) Research Interests: His work focuses on Dynamic Distributed Real-time Systems, Quality of Service (QoS), and Ad-hoc Networks. Key areas include real-time scheduling algorithms, distributed systems, fault-tolerant embedded systems, and adaptive resource management in cooperative environments. His research emphasizes practical applications in embedded and real-time systems through frameworks like AMPERE and MARS. Recent Articles: His recent work explores topics such as reducing the theory-practice gap in real-time systems (DSN 2024), model-driven development for parallel systems (ISORC 2020), and scheduling strategies for fork-join tasks (RTCSA 2017). These contributions address challenges in multiprocessor scheduling, work-stealing algorithms, and QoS-aware configurations. Advising: Luis has supervised Cláudio Maia’s PhD thesis on parallel real-time task scheduling. He actively participates in projects like HURRAY and AMPERE, focusing on real-time systems and energy-efficient computation. Labs & Collaborations: A core member of the CISTER research group, he contributes to projects involving distributed real-time systems, middleware development, and embedded system frameworks. His work aligns with European initiatives like the AMPERE framework for parallel computing.

Geoffrey Nelissenمشاهده پروفایل

پژوهشگر

• Real-Time Scheduling Theory
• Real-Time Operating Systems
• Multiprocessor/Multi-Core Architectures
• +۳ مورد دیگر

Geoffrey Nelissen is a researcher scientist at CISTER, part of the Instituto Superior de Engenharia do Porto (ISEP) within the Polytechnic Institute of Porto (IPP). He holds a PhD in Electrical Engineering from Université Libre de Bruxelles (ULB, Belgium), awarded in 2012 under Professors Joël Goossens and Dragomir Milojevic. His research focuses on real-time scheduling theory, embedded systems, and multi-core architectures, with significant contributions to network-on-chip (NoC) design and cache contention analysis. He has been actively involved in advancing scheduling algorithms for real-time systems, particularly in partitioned and global scheduling contexts. Education: MSc in Electrical Engineering (ULB, 2008), PhD in Real-Time Systems (ULB, 2012). Research Interests : Real-Time Scheduling Theory, Real-Time Operating Systems, Multiprocessor/Multi-Core Architectures, Network-on-Chip (NoC), Embedded Systems, Cache Contention Analysis. His work emphasizes practical solutions for scheduling challenges in heterogeneous and real-time environments, addressing issues like memory contention, bus arbitration, and cache interference. Publications : Recent work includes advancements in 3-Phase Task Model analysis, deflection-based NoC architectures (e.g., IPDeN), and holistic memory contention frameworks. His contributions span conferences like RTCSA, RTSS, and ECRTS, with a focus on bridging theoretical scheduling models and practical embedded system implementations. Awards : Multiple Outstanding Paper Awards at RTCSA 2020, RTNS 2017, and ECRTS 2016, alongside Best Presentation and Open Problem Awards. His research has been recognized for its impact on real-time system reliability and performance. Labs/Teams : Active member of the CISTER Research Centre, focusing on embedded systems and real-time computing. Collaborates with international researchers on topics like FPGA-based NoC design and mixed-criticality systems.

Christine Rochangeمشاهده پروفایل

استاد

• Real-Time Systems
• Worst-Case Execution Time (WCET) Analysis
• Timing Predictability
• +۳ مورد دیگر

Christine Rochange is a Professor at the University of Toulouse, affiliated with the IRIT research lab and the TRACES research group. Her work focuses on worst-case execution time (WCET) analysis for hard real-time systems, timing predictability in parallel architectures, and time-aware hardware design. She coordinates major projects such as TOAST (a French initiative for time-oriented critical systems) and leads the TACLe project's Working Group 1 on timing models. Her research addresses challenges in multi-core WCET analysis, synchronization overhead reduction, and mixed-critical systems. Key contributions include the OTAWA static WCET analysis toolset and foundational work on time-predictable architectures. She has supervised PhD students in areas like parallel real-time task scheduling and bus arbitration schemes. Rochange actively participates in program committees for conferences like ECRTS and RTAS, and teaches courses on computer architecture, parallel programming, and real-time systems at Université Paul Sabatier. Her recent articles explore formal verification of processor pipelines, timing predictability in GPUs, and hardware-software co-design for embedded AI applications. She has coordinated international collaborations through projects like parMERASA (EU FP7) and W-SEPT (ANR), advancing the state-of-the-art in real-time systems predictability.

Nuno Fachadaمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Modeling and Simulation
• +۴ مورد دیگر

Nuno Fachada is an Assistant Professor at Lusófona University's School of Communication, Arts and Information (ECATI) and a researcher at COPELABS (Cognitive and People-centric Computing). He teaches Programming and AI in the Videogames Bachelor's program and Research Software in the Informatics PhD program, with research spanning Artificial Intelligence, Machine Learning, Modeling and Simulation, High Performance Computing, and Computer Science Education. His work integrates computational methods with applications in game development, wildfire management, and networking. Education: Bachelor's degree in Electrical and Computer Engineering from IST (2005) Master's degree in Electrical and Computer Engineering from IST (2008), focusing on immune system simulation PhD in Electrical and Computer Engineering from IST (2016) with thesis 'Agent-Based Modeling on High Performance Computing Architectures', awarded 'Pass with Distinction and Honour' Research interests emphasize Agent-Based Modeling for complex systems like wildfires and immune responses, Particle Swarm Optimization algorithms, and OpenCL for parallel computing. He develops educational tools for game development curricula and applies AI to environmental monitoring and wireless networks, with strong output in simulation frameworks and human-centric computing. Recent publications (2024-2025) reveal three dominant trends: wildfire modeling using satellite data and agent-based approaches, large language models for engineering code generation (e.g., LoRaWAN), and game AI for procedural content and rehabilitation. His work bridges theoretical computer science with practical applications in environmental science and healthcare, while maintaining focus on education through tools like TextCL and cf4ocl. Scientific Awards: No scientific awards, fellowships, or medals were mentioned in the provided text Advising and Grants: Fachada serves as a researcher in ILIND-funded projects, notably the 'Cybersecurity Awareness Training Simulator' (2024-2025) with six collaborators. He supervises PhD students in Informatics but specific advisees aren't listed. His grant activity primarily involves institutional projects through Lusófona University's research center, with emphasis on simulation-based tools for real-world applications. Labs and Teams: He is a core researcher at COPELABS, focusing on cognitive and people-centric computing projects including wildfire simulation and cybersecurity training. Prior to Lusófona, he conducted postdoctoral work at LaSEEB/ISR (Institute for Systems and Robotics), maintaining connections to IST. His team collaborations span international researchers in environmental modeling and AI, with recent projects involving Portuguese and European institutions.

Fernando Birraمشاهده پروفایل

استادیار

• Computer Graphics
• Human-Computer Interaction
• Parallel Computing
• +۲ مورد دیگر

Fernando Birra serves as an Assistant Professor in the Department of Informatics at the Faculty of Sciences and Technology of NOVA University Lisbon (FCT/UNL), concurrently holding a research position at CITI (Centro de Informática e Tecnologias da Informação) within the Multimodal Systems group. His research expertise spans: Computer Graphics Human-Computer Interaction Parallel Computing with GPU acceleration Multimodal Systems Teaching record includes: Computer Graphics and Interfaces (Winter 2013-2014, Winter 2012-2013) Web Application Development (Winter 2012-2013) Projeto Integrador (Summer 2012-2013) Based in Caparica, Portugal, Birra originates from Odivelas and maintains active hobbies in geocaching, mountain biking (MTB), and RPM cycling classes.

• Innovation Management
• Design
• Business Strategy
• +۴ مورد دیگر

José Monteiro is a Full Professor affiliated with the research unit INESC-ID , active in the 1st Semester 2025/2026. His academic work spans interdisciplinary fields including Innovation Management, Design, Business Strategy, and History. He teaches subjects such as Electronic Project Automation , Parallel and Distributed Computing , and Programming Fundamentals . Research Trends : His publications from 1982–2023 focus on innovation drivers, design-driven competitiveness, and historical/cultural studies, with regional emphasis on Portugal. Interdisciplinary Impact : Combines technical expertise in Electrical Engineering/Computer Science with socio-economic analysis of sectors like banking, consultancy, and SMEs.