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Ricardo Macedo is an assistant researcher at INESC TEC and an invited assistant professor at University of Minho. He obtained is PhD in 2023 under the MAP-i doctoral program of Universities of Minho, Aveiro, and Porto, with his thesis "User-level Software-Defined Storage Data Planes". He is part of the distributed storage research team at INESC TEC (https://dsr-haslab.github.io), which focuses on researching and developing highly efficient, secure, and reliable storage systems. Since 2023, Ricardo has been leading the "Storage and operating systems for modern data centers" research line, aiming to explore how emerging storage and operating systems technologies (e.g., persistent memory, resource disaggregation, user-level storage systems, dynamic power management) will impact the future of data-intensive applications and shape modern infrastructures (namely, cloud computing data centers and HPC supercomputers) in terms of performance and sustainability. He has several publication on top conferences, workshops, and journals, including ACM Computing Surveys, IEEE Access, USENIX FAST, ACM VLDB, and IEEE/ACM CCGrid. He has been an active member on the research and development of multiple international and national projects, such as Sustainable HPC, ATE, Compete2020 BigHPC, PT-UTAustin PAStor, H2020 SafeCloud, and H2020 SMILES, as well as industry-related projects (LazyFS with Jepsen LLC) and international consortiums (CENTRA). Currently, Ricardo is the PI of the "Performance and Sustainability Management in Modern Data Centers" project (which is part of the CENTRA transnational collaboration network), is INESC TEC's local coordinator of the P2030 CDMS project, and is a collaborator in the SustainSys project from the Canada's Collaborative Research and Training Experience program. Ricardo collaborates with multiple researchers from the computer systems and HPC fields, including Vijay Chidambaram (UTAustin & VMWare Research), Alysson Bessani (FCUL), Oana Balmau and Stella Bitchebe (McGill University), Raju Rangaswami and Janki Bhirmani (FIU), Jason Haga and Yusuke Tanimura (AIST), Todd Evans (Intel), Amit Ruhela, Stephen Harrell and John Cazes (TACC & UTAustin), and Thaleia Doudali (IMDEA). He has also served as a reviewer in conferences, workshops, and journals of the operating systems, storage systems, and HPC fields, including ACM ASPLOS, Euro-Par, SSDBM, REX-IO (co-located with IEEE CLUSTER), ESSA (co-located with IEEE IPDPS), Journal of Supercomputing, and ACM TACO.
Identification

Personal identification

Full name
Ricardo Gonçalves Macedo

Citation names

  • Macedo, Ricardo

Author identifiers

Ciência ID
671F-7165-8612
ORCID iD
0000-0003-4036-0126
Google Scholar ID
3QPFbOcAAAAJ
Scopus Author Id
57200898173

Email addresses

  • ricardo.g.macedo@inesctec.pt (Professional)

Addresses

  • HASLab INESC TEC - Departamento de Informática, Universidade do Minho, Rua da Universidade, 4710-057, Gualtar, Braga, Portugal (Professional)

Websites

Knowledge fields

  • Exact Sciences - Computer and Information Sciences - Computer Sciences

Languages

Language Speaking Reading Writing Listening Peer-review
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Education
Degree Classification
2017/10 - 2023/01
Concluded
MAP-i Doctoral Programme in Computer Science (Doutoramento)
Universidade do Minho, Portugal

Universidade de Aveiro, Portugal

Universidade do Porto, Portugal
"User-level Software-Defined Storage Data Planes" (THESIS/DISSERTATION)
Very Good (University of Minho's highest grade)
2011/10 - 2017/09
Concluded
Integrated Master's in Informatics Engineering (Mestrado integrado)
Universidade do Minho Escola de Engenharia, Portugal
"Computação Segura em Bases de Dados NoSQL" (THESIS/DISSERTATION)
Affiliation

Science

Category
Host institution
Employer
2023/02 - Current Auxiliary Researcher (Research) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2017/01 - 2023/01 Research Assistant (Research) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2020/07 - 2020/09 Research Trainee (Research) National Institute of Advanced Industrial Science and Technology (AIST), Japan

Teaching in Higher Education

Category
Host institution
Employer
2020 - Current Invited Assistant Professor (University Teacher) Universidade do Minho, Portugal
Universidade do Minho, Portugal

Others

Category
Host institution
Employer
2017/09 - 2023/01 PhD student (MAP-i doctoral programme) Universidade do Minho, Portugal
Universidade do Minho, Portugal
(...)
Projects

Grant

Designation Funders
2025/01 - Current CDMS: Claim Denial Management Solution
COMPETE2030-FEDER-01193000/17409
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Randy Labs, Portugal

Get Effy, Portugal
Ongoing
2024 - Current BCD.S+M: Modular Blockchain Data Storage and Management System with AI
NORTE2030-FEDER-00584600/14436
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

InvisibleLab, Portugal
Ongoing
2023/05/01 - Current Sustainable HPC - Highly Sustainable Performance Computing
PG06336
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Ongoing
2023 - Current Alliance for Energy Transition
01/C05-i12/2024.PC644914747-00000023
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Ongoing
2020/04/01 - 2023/03/31 BigHPC: A Management Framework for Consolidated Big Data and HPC
POCI-01-0247-FEDER-045924
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Laboratório de Instrumentação e Física Experimental de Partículas, Portugal

Wavecom-Soluções Rádio, SA, Portugal

Texas Advanced Computing Center, United States

University of Texas at Austin, United States

Minho Advanced Computing Center, Portugal
Agência Nacional de Inovação SA
Concluded
2020/10 - 2021/12 PAStor - Programmable and Adaptable Storage for AI-oriented HPC Ecosystems
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Texas Advanced Computing Center, United States

Minho Advanced Computing Center, Portugal

Hood College, United States
Fundação para a Ciência e a Tecnologia
Concluded
2018/08 - 2019/06 SMILES - Smart, mobile, intelligent, large scale sensing and analytics
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2017/04 - 2018/07 SafeCloud
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Horizon 2020 European Innovation Council Fast Track to Innovation
Concluded

Contract

Designation Funders
2022/04 - 2022/07 LazyFS: Lazy Filesystem Project
PP2022-0019
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Jepsen LCC, United States
Concluded

Other

Designation Funders
2025/04 - Current DisaggregatedHPC: Towards energy-efficient, software-managed resource disaggregation in HPC infrastructures
UID/50014/2023
Co-Principal Investigator (Co-PI)
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

National Applied Research Laboratories National Center for High-Performance Computing, Taiwan
Ongoing
2024/03 - Current Performance and Sustainability Management in Modern Data Centers
Principal investigator
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

National Institute of Advanced Industrial Science and Technology (AIST), Japan

Florida International University, United States
Ongoing
2024 - Current SustainSys: Sustainable Data Systems for Data Science
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

McGill University, Canada

Concordia University, Canada

University of Toronto, Canada

University of Waterloo, Canada

Université Grenoble Alpes Institut Universitaire de Technologie 2 de Grenoble, France

Universitetet i Oslo, Norway

Hugging Face, United States

Fachhochschule Potsdam, Germany
Ongoing
2018 - Current Efficient and Secure Data Management for HPC and Cloud Computing
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Korea Institute of Science and Technology Information, South Korea

National Institute of Advanced Industrial Science and Technology (AIST), Japan
Ongoing
2018/03 - 2021 IBM Research Haifa - Joint Study Aggreement
Joint Study Agreement Nº H1772072
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

IBM Haifa Research Labs, Israel
Concluded
Outputs

Publications

Conference paper
  1. MIRANDA, MARIANA; Tanimura, Yusuke; Haga, Jason; Ruhela, Amit; Harrell, Stephen Lien; Cazes, John; Macedo, Ricardo; Pereira, José Orlando; Paulo, João. "Can Current SDS Controllers Scale to Modern HPC Infrastructures?". Paper presented in Communication, I/O, and Storage at Scale on Next-Generation Platforms - Scalable Infrastructures (SC24 IXPUG Workshop), 2024.
    Published • 10.1109/SCW63240.2024.00123
  2. Esteves, Tânia; Macedo, Ricardo; Oliveira, Rui; Paulo, João. "Diagnosing applications' I/O behavior through system call observability". Paper presented in 5th Workshop on Data-Centric Dependability and Security, 2023.
    Published • 10.1109/dsn-w58399.2023.00022
  3. Macedo, Ricardo; Miranda, Mariana; Tanimura, Yusuke; Haga, Jason; Ruhela, Amit; Harrell, Stephen Lien; Evans, Richard Todd; Pereira, José; Paulo, João. "Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control". Paper presented in 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, 2023.
    Published • 10.1109/ccgrid57682.2023.00015
  4. Macedo, Ricardo; Tanimura, Y; Haga, J; Chidambaram, V; Pereira, J; Paulo, João. "PAIO: General, Portable I/O Optimizations With Minor Application Modifications". Paper presented in 20th USENIX Conference on File and Storage Technologies, 2022.
    Published
  5. Dantas, M; Leitao, D; Cui, P; Macedo, Ricardo; Liu, X; Xu, W; Paulo, J. "Accelerating Deep Learning Training Through Transparent Storage Tiering". Paper presented in 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, 2022.
    Published • 10.1109/ccgrid54584.2022.00011
  6. Macedo, Ricardo; Miranda, Mariana; Tanimura, Yusuke; Haga, Jason; Ruhela, Amit; Harrell, Stephen Lien; Evans, Richard Todd; Paulo, Joao. "Protecting Metadata Servers From Harm Through Application-level I/O Control". Paper presented in 2nd Workshop on Re-envisioning Extreme-Scale I/O for Emerging Hybrid HPC Workloads, 2022.
    Published • 10.1109/cluster51413.2022.00075
  7. Macedo, Ricardo; Correia, C; Dantas, M; Brito, C; Xu, WJ; Tanimura, Y; Haga, J; Paulo, J. "The Case for Storage Optimization Decoupling in Deep Learning Frameworks". Paper presented in 1st Workshop on Re-envisioning Extreme-Scale I/O for Emerging Hybrid HPC Workloads, 2021.
    Published • 10.1109/cluster48925.2021.00096
  8. Dantas, M; Leitao, D; Correia, C; Macedo, Ricardo; Xu, WJ; Paulo, J. "MONARCH: Hierarchical Storage Management for Deep Learning Frameworks". Paper presented in 1st Workshop on Re-envisioning Extreme-Scale I/O for Emerging Hybrid HPC Workloads, 2021.
    Published • 10.1109/cluster48925.2021.00097
  9. Faria, A; Macedo, Ricardo; Paulo, J. "Pods-as-Volumes: Effortlessly Integrating Storage Systems and Middleware into Kubernetes". Paper presented in 7th International Workshop on Container Technologies and Container Clouds, 2021.
    Published • 10.1145/3493649.3493653
  10. Faria, A; Macedo, Ricardo; Pereira, J; Paulo, J. "BDUS: implementing block devices in user space". Paper presented in 14th ACM International System and Storage Conference, 2021.
    Published • 10.1145/3456727.3463768
  11. Macedo, Ricardo; Faria, A; Paulo, J; Pereira, J. "A Case for Dynamically Programmable Storage Background Tasks". Paper presented in 38th International Symposium on Reliable Distributed Systems Workshops, 2019.
    Published • 10.1109/srdsw49218.2019.00009
  12. Esteves, T; Macedo, Ricardo; Faria, A; Portela, B; Paulo, J; Pereira, J; Harnik, D. "TRUSTFS: An SGX-enabled Stackable File System Framework". Paper presented in 38th International Symposium on Reliable Distributed Systems Workshops, 2019.
    Published • 10.1109/srdsw49218.2019.00012
  13. Macedo, Ricardo; Paulo, João; Pontes, Rogério; Portela, Bernardo; Oliveira, Tiago; Matos, Miguel; Oliveira, Rui. "A Practical Framework for Privacy-Preserving NoSQL Databases". Paper presented in 36th International Symposium on Reliable Distributed Systems, 2017.
    Published • 10.1109/srds.2017.10
Conference poster
  1. Macedo, Ricardo; Paulo, João; Pereira, José. "Towards a Software-Defined Storage Architecture for HPC Infrastructures". Paper presented in UTAustin Portugal Program 2019 Annual Conference, 2019.
Journal article
  1. Ramos, Maria; Azevedo, João; Kingsbury, Kyle; Pereira, José; Esteves, Tânia; Macedo, Ricardo; Paulo, João. "When Amnesia Strikes: Understanding and Reproducing Data Loss Bugs with Fault Injection". Proceedings of the VLDB Endowment 17 (2024):
    Published • 10.14778/3681954.3681980
  2. Tânia Esteves; Macedo, Ricardo; Rui Oliveira; João Paulo. "Toward a Practical and Timely Diagnosis of Application's I/O Behavior". IEEE Access 11 (2023):
    Published • 10.1109/ACCESS.2023.3322104
  3. Macedo, Ricardo; Paulo, J; Pereira, J; Bessani, A. "A Survey and Classification of Software-Defined Storage Systems". ACM Computing Surveys 53 3 (2020):
    Published • 10.1145/3385896
Preprint
  1. Macedo, Ricardo; Miranda, Mariana; Tanimura, Yusuke; Haga, Jason; Ruhela, Amit; Harrell, Stephen Lien; Evans, Richard Todd; Pereira, José; Paulo, João. "PADLL: Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control". 2023. https://arxiv.org/abs/2302.06418.
  2. Esteves, Tânia; Macedo, Ricardo; Oliveira, Rui; Paulo, João. "Diagnosing applications' I/O behavior through system call observability". 2023. https://arxiv.org/abs/2304.08569.
  3. Macedo, Ricardo; Tanimura, Y; Haga, J; Chidambaram, V; Pereira, J; Paulo, J. "PAIO: A Software-Defined Storage Data Plane Framework". 2021. https://arxiv.org/abs/2106.03617.
Thesis / Dissertation
  1. "User-level Software-Defined Storage Data Planes". PhD, Universidade do Minho, 2023.
  2. Macedo, Ricardo. "Computação Segura em Bases de Dados NoSQL". Master, Universidade do Minho, 2017.

Intellectual property

Copyright registration
  1. 2020. "PAIO: Programmable and Adaptable Software-Defined Storage Data Planes".
    Registered
Activities

Supervision

Thesis Title
Role
Degree Subject (Type)
Institution / Organization
2024/10 - Current Energy Monitoring System for Large-Scale Infrastructures. Co-advised with Cláudia Brito and António Sousa.
Supervisor
Universidade do Minho, Portugal
2024/10 - Current An NVMe-oriented I/O Scheduler for Reducing Energy Consumption. Co-advised with Cláudia Brito and João Paulo.
Supervisor
Universidade do Minho, Portugal
2024/10 - Current GPU Energy Control for LLM Models. Co-advised with Cláudia Brito and António Sousa.
Supervisor
Universidade do Minho, Portugal
2024/04 - Current Software-Managed Resource Disaggregation for Large-Scale HPC Infrastructures. Co-advised with João Paulo.
Supervisor of Pedro Peixoto
Universidade do Minho, Portugal
2024/03 - Current Heterogeneous Storage Management in Modern I/O Infrastructures. Co-advised with Oana Balmau and João Paulo.
Supervisor of Rúben Adão
Universidade do Minho, Portugal
2024 - Current Data Pre-Processing in Machine Learning. Co-advised with Oana Balmau.
Co-supervisor of Rahma Nouaji
McGill University, Canada
2023 - Current Comprehensive study of the energy impact of key-value stores. Co-advised with Cláudia Brito and António Sousa.
Supervisor of José Pedro Fernandes
Universidade do Minho, Portugal
2023 - Current Heterogeneous storage solution for deep learning frameworks. Co-advised with João Paulo and Cláudia Brito.
Co-supervisor of Francisco Neves
Universidade do Minho, Portugal
2023 - Current Programmable and Adaptable User-level Storage Systems. Co-advised with João Paulo.
Co-supervisor of Guilherme Fernandes
Universidade do Minho, Portugal
2023 - Current GPU Energy Control for Deep Learning Systems. Co-advised with Cláudia Brito and António Sousa.
Supervisor of Diana Rodrigues
Universidade do Minho, Portugal
2023 - 2025 SFreq: An energy control system for SPDK-enabled storage systems. Co-advised with Cláudia Brito and João Paulo.
Supervisor of Mariana Amorim
Universidade do Minho, Portugal
2023 - 2024 Energy Control System for Large-scale Infrastructures. Co-advised with Carlos Baquero and Cláudia Brito.
Supervisor of Sara Pereira
Universidade do Porto Faculdade de Engenharia, Portugal
2022 - 2024 Distributed I/O Optimizations for Deep Learning Training. Co-advised with João Paulo and Cláudia Brito.
Co-supervisor of Maria Beatriz Moreira
Universidade do Minho, Portugal
2022 - 2024 Reproducible Fault Injection in Local Storage Systems. Co-advised with João Paulo and Tânia Esteves.
Co-supervisor of Maria Ramos
Universidade do Minho, Portugal
2022 - 2024 Programmable Caches with System-wide Visibility. Co-advised with João Paulo.
Supervisor of Pedro Peixoto
Universidade do Minho, Portugal
2022 - 2024 Co-designing Log-Structured Merge Key-Value Stores with a Non-Volatile Storage Hierarchy. Co-advised with João Paulo.
Supervisor of Ruben Adão
Universidade do Minho, Portugal
2021 - 2023 Realistic Assessment of Failures in the SPDK Platform. Co-advised with João Paulo.
Co-supervisor of Alexandre Miranda
Universidade do Minho, Portugal
2021 - 2022 LazyFS: A file system for assessing applications data durability. Co-advised with João Paulo.
Co-supervisor of João Azevedo
Universidade do Minho, Portugal
2020 - 2022 Accelerating Deep Learning Training on High-Performance Computing with Storage Tiering. Co-advised with João Paulo and Rui Oliveira.
Co-supervisor
Universidade do Minho, Portugal
2019 - 2020 PRISMA: A Prefetching Storage Middleware for Accelerating Deep learning Frameworks. Co-advised with João Paulo and António Sousa.
Co-supervisor of Cláudia Mendonça
Master Degree in Computer Science (Master)
Universidade do Minho, Portugal
2019 - 2020 RSafeFS: A Modular File System for Remote Storage. Co-advised with João Paulo and José Orlando Pereira.
Co-supervisor of Diogo Leitão
Master Degree in Computer Science (Master)
Universidade do Minho, Portugal

Event participation

Activity description
Type of event
Event name
Institution / Organization
2023 - 2023 Visiting researcher of National Institute of Advanced Industrial Science and Technology (AIST). Research on storage systems for HPC infrastructures.
National Institute of Advanced Industrial Science and Technology (AIST), Japan
2021/09 - 2021/09 Member of the discussion panel "Emerging HPC Workloads and the Future Direction of Parallel I/O Research" at 1st Workshop on Re-envisioning Extreme-Scale I/O for Emerging Hybrid HPC Workloads, co-located with IEEE Cluster 2021 conference.
Round table
1st Workshop on Re-envisioning Extreme-Scale I/O for Emerging Hybrid HPC Workloads
2018 - 2018 Volunteer in the organization of ACM European Conference on Computer Systems 2018 (EuroSys 18), Porto, Portugal.
Conference
13th ACM European Conference on Computer Systems (EuroSys 18)
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Jury of academic degree

Topic
Role
Candidate name (Type of degree)
Institution / Organization
2025 A User-Friendly Pipeline for dMRI Tractography Integrating Parallel Computing Strategies (PhD pre-thesis)
(Thesis) Arguer
Beatriz Cepa (PhD)
Universidade do Minho, Portugal
2024 Real-Time Error Detection in Distributed Systems
(Thesis) Main arguer
Rui Moreira (Master)
Universidade do Porto Faculdade de Engenharia, Portugal

Conference scientific committee

Conference name Conference host
2024/06 - Current 30th International European Conference on Parallel and Distributed Computing (Posters and Demos track)
2025 - 2025 37th International Conference on Scalable Scientific Data Management
2025 - 2025 6th International Workshop on Extreme-Scale Storage and Analysis
2023 - 2024 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems
2023 - 2023 4th Workshop on Extreme-Scale Storage and Analysis
2023 - 2023 3rd Workshop on Re-envisioning Extreme-Scale I/O for Emerging Hybrid HPC Workloads
2022 - 2023 18th European Conference in Computer Systems (Shadow program committee)
2022 - 2022 2nd Workshop on Re-envisioning Extreme-Scale I/O for Emerging Hybrid HPC Workloads

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
2025 - Current Data Storage Systems Master's in Informatics Engineering (Mestrado) Universidade do Minho, Portugal
2023 - Current Operating Systems (2nd year). Lecturer of practical classes of the Computer Science course. Computer Science (Licenciatura) Universidade do Minho, Portugal
2020 - Current Operating Systems (2nd year). Lecturer of practical classes of the Informatics Engineering course. Informatics Engineering (Licenciatura) Universidade do Minho, Portugal
2020 - Current Distributed systems (3rd year). Lecturer of practical classes of the Informatics Engineering course. Informatics Engineering (Licenciatura) Universidade do Minho, Portugal

Journal scientific committee

Journal title (ISSN) Publisher
2024 - Current ACM Transactions on Architecture and Code Optimization ACM
2023 - Current The Journal of Supercomputing Springer

Mentoring / Tutoring

Topic Student name
2025 - Current Caching optimizations for large-scale I/O infrastructures. Mentor under INESC TEC's International Visiting Researcher Program. Alexis Rodriguez
2024 - Current LSM-based key-value stores for disaggregated storage. Daniel Pereira
2024 - Current Energy-efficient, QoS-aware scheduler for disaggregated storage Edgar Araújo
2024/03 - 2024/08 I/O optimizations for large language models. Mentor under INESC TEC's International Visiting Researcher Program. Rahma Nouaji
2022 - 2024 Metadata trace replayer for HPC parallel file systems Guilherme Fernandes
2022 - 2024 Exploring energy-aware policies for modern I/O infrastructures Diana Rodrigues, José Fernandes, Mariana Amorim, and Sara Pereira
2021 - 2023 Programmable and Adaptable Data Transformations Maria Beatriz Moreira, Pedro Peixoto, and Ruben Adão
2021 - 2022 A Key-Value Storage Benchmarking Tool Susana Marques and Tomás Costa
2021 - 2021 Storage Tiering Strategies in FUSE-based File Systems Diogo Ribeiro
2020 - 2021 An Evaluation of Linux Interfaces for Storage I/O Alberto Faria

Other jury / evaluation

Activity description Institution / Organization
2022 - 2022 External reviewer of 52nd IEEE/IFIP International Conference on Dependable Systems and Networks.
2021 - 2021 External reviewer of 51st IEEE/IFIP International Conference on Dependable Systems and Networks.
2021 - 2021 External reviewer of 41st IEEE International Conference on Distributed Computing Systems.
2019 - 2019 External reviewer of 49th IEEE/IFIP International Conference on Dependable Systems and Networks.
2019 - 2019 External reviewer of 38th IEEE International Symposium on Reliable Distributed Systems.
2019 - 2019 External reviewer of 23rd Conference on Principles of Distributed Systems.
2018 - 2018 External reviewer of 19th ACM/IFIP International Middleware Conference.
Distinctions

Award

2022 "The Incredibles" Award 2022. Award given by INESC TEC to researchers with outstanding contributions on their field.
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2021 Student grant to attend USENIX Annual Technical Conference.
USENIX Association, United States
2020 Student grant to attend the 14th USENIX Symposium on Operating Systems Design and Implementation.
USENIX Association, United States
2019 FCT PhD grant (SFRH/BD/146059/2019)
Fundação para a Ciência e a Tecnologia, Portugal
2019 Merit grant. Award given by DGES for outstanding academic marks.
Direção-Geral do Ensino Superior (DGES), Portugal
2018 Excellence scholarship. Award given by University of Minho for outstanding academic marks.
Universidade do Minho, Portugal

Other distinction

2025 Energy efficiency monitoring tool listed in the EU's Innovation Radar (Testing framework for AI energy efficiency).
European Commission, Belgium
2023 Finalist of the international award Cor Baayen Early Career Researcher Award (8 finalists were selected).
European Research Consortium for Informatics and Mathematics, France
2021 Best paper runner-up on the 14th International Systems and Storage Conference.
Association for Computing Machinery, United States