João Paulo

About João Paulo

João Paulo, With an exceptional h-index of 11 and a recent h-index of 9 (since 2020), a distinguished researcher at Universidade do Minho, specializes in the field of Distributed Systems, Storage Systems, Databases, Cloud Computing, High-Performance Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Distributed Computing Solution for Privacy-Preserving Genome-Wide Association Studies

Privacy-Preserving Machine Learning on Apache Spark

Toward a practical and timely diagnosis of applications’ I/O behavior

CRIBA: A Tool for Comprehensive Analysis of Cryptographic Ransomware's I/O Behavior

Diagnosing applications’ I/O behavior through system call observability

Distributed Applications and Interoperable Systems: 23rd IFIP WG 6.1 International Conference, DAIS 2023, Held as Part of the 18th International Federated Conference on …

Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control

Soteria: Preserving privacy in distributed machine learning

João Paulo Information

University

Position

Researcher at HASLab, INESC TEC and U. Minho

Citations(all)

571

Citations(since 2020)

355

Cited By

342

hIndex(all)

11

hIndex(since 2020)

9

i10Index(all)

11

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

João Paulo Skills & Research Interests

Distributed Systems

Storage Systems

Databases

Cloud Computing

High-Performance Computing

Top articles of João Paulo

A Distributed Computing Solution for Privacy-Preserving Genome-Wide Association Studies

bioRxiv

2024/1/16

Privacy-Preserving Machine Learning on Apache Spark

IEEE Access

2023/11/13

Toward a practical and timely diagnosis of applications’ I/O behavior

IEEE Access

2023/10/4

Rui Oliveira
Rui Oliveira

H-Index: 11

João Paulo
João Paulo

H-Index: 8

CRIBA: A Tool for Comprehensive Analysis of Cryptographic Ransomware's I/O Behavior

2023/9/25

João Paulo
João Paulo

H-Index: 8

Diagnosing applications’ I/O behavior through system call observability

2023/6/27

Distributed Applications and Interoperable Systems: 23rd IFIP WG 6.1 International Conference, DAIS 2023, Held as Part of the 18th International Federated Conference on …

2018

Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control

2023/5/1

Soteria: Preserving privacy in distributed machine learning

2023/3/27

PADLL: Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control

arXiv preprint arXiv:2302.06418

2023/2/13

Diagnosing applications' I/O behavior through system call observability

2023/6/27

Accelerating Deep Learning Training Through Transparent Storage Tiering

2022

PAIO: General, Portable I/O Optimizations with Minor Application Modifications

2022

Protecting metadata servers from harm through application-level I/O control

2022/9/5

Yusuke Tanimura
Yusuke Tanimura

H-Index: 10

João Paulo
João Paulo

H-Index: 8

CAT: Content-aware tracing and analysis for distributed systems

2021/12/6

Pods-as-Volumes: Effortlessly Integrating Storage Systems and Middleware into Kubernetes

2021/12/6

João Paulo
João Paulo

H-Index: 8

ATOCS: Automatic Configuration of Encryption Schemes for Secure NoSQL Databases

2021/9/13

João Paulo
João Paulo

H-Index: 8

The Case for Storage Optimization Decoupling in Deep Learning Frameworks

2021/9/7

Monarch: Hierarchical storage management for deep learning frameworks

2021/9/7

S2Dedup: SGX-enabled secure deduplication

2021/6/14

João Paulo
João Paulo

H-Index: 8

BDUS: implementing block devices in user space

2021/6/14

José Pereira
José Pereira

H-Index: 11

João Paulo
João Paulo

H-Index: 8

See List of Professors in João Paulo University(Universidade do Minho)

Co-Authors

academic-engine