INESC TEC
INESC TEC
INESC TEC
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João Tiago Paulo

João Tiago Paulo

Senior Researcher

I am currently an auxiliar professor at University of Minho and senior researcher at INESC TEC. I have obtained a PhD degree in Computer Science from the MAP-i Doctoral Program in Computer Science. Currently, I am working on large scale distributed systems with an emphasis on storage and database systems’ scalability, performance, security and dependability. Also, I am interested on the applicability of this research work for solving complex data management challenges for Cloud Computing and HPC centres.

I am the coordinator of the PAStor PT-UTAustin exploratory project and the “Efficient and Secure Data Management for HPC and Cloud Computing” CENTRA project, while leading INESC TEC’s activities on the Compete2020 BigHPC project and ACTPM PT-UTAustin exploratory project. Also, I have several publications in renowned journals and international conferences (e.g., ACM Computing Surveys, IEEE Transactions on Computers, ACM Transactions on Storage, Eurosys, SRDS, SYSTOR).

For more information you can check my personal web page at https://jtpaulo.github.io, as well as, HASLab's research lines on the topics mentioned above: https://dsr-haslab.github.io and https://dbr-haslab.github.io

Publications

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

Esteves, T;Pereira, B;Oliveira, RP;Marco, J;Paulo, J;

2023

2023 42ND INTERNATIONAL SYMPOSIUM ON RELIABLE DISTRIBUTED SYSTEMS, SRDS 2023

Soteria: Preserving Privacy in Distributed Machine Learning

Brito, C;Ferreira, P;Portela, B;Oliveira, R;Paulo, J;

2023

38TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2023

Diagnosing applications' I/O behavior through system call observability

Esteves, T;Macedo, R;Oliveira, R;Paulo, J;

2023

53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2023 - Workshops, Porto, Portugal, June 27-30, 2023

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

Macedo, R;Miranda, M;Tanimura, Y;Haga, J;Ruhela, A;Harrell, SL;Evans, RT;Pereira, J;Paulo, J;

2023

2023 IEEE/ACM 23RD INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND INTERNET COMPUTING, CCGRID

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Supervised Theses

Towards a Privacy-Preserving Distributed Machine Learning Framework

Cláudia Vanessa Martins de Brito

D - 2019

UM-EEUM

Towards a Dependable and Decentralized Software-Defined Storage Architecture

Ricardo Gonçalves Macedo

D - 2019

UM-EEUM

End-to-End Software-Defined Security for Big Data Ecosystem

Tânia da Conceição Araújo Esteves

D - 2019

UM-EEUM

SafeSpark: A Secure Data Analytics Platform using Cryptographic Techniques and Trusted Hardware

Hugo Alves Carvalho

M - 2019

UM-EEUM

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