Eduardo Cunha de Almeida

Professor Associado, UFPR, DInf

Contact information:
UFPR, Department of Informatics (Dinf)
Rua Cel. Francisco H. dos Santos, 100
Centro Politecnico - Jardim das Américas
Curitiba-PR, CEP: 81.531-980, Brasil
Phone: +55 (41) 3361 3656

Research, Projects and Publications

My research interest is in database systems, specifically main memory (processor-in-memory databases), and data management, specifically data profiling. Current projects, include:

DoricStore, a Column-Store for emerging hardware.
BigData Rules (BDR), discovering business rules from data profiling.

My projects are supported by the AWS Cloud Credits for Research program, the NVIDIA Corporation and the C3SL group.

Teaching (in Portuguese)

2021-1

Abaixo, você pode acessar o link para a video aula de introdução à disciplina "CI208/CI180/CI183 - Programação de Computadores 2021-1". As outras video aulas, juntamente com o material de apoio, estarão disponíveis no ambiente UFPR Virtual.

CI208/CI180/CI183 - Programação de Computadores 2021-1

Video aula de introdução

Community Activities and Software

Short Bio

Selected Publications

Multidimensional Adaptive and Progressive Indexes. Matheus A. Nerone, Pedro Holanda, Eduardo C. de Almeida, Stefan Manegold. ICDE, 2021 (PDF)
Investigating Automatic Parameter Tuning for SQL-on-Hadoop Systems. Edson Ramiro Lucas Filho, EduardoCunha de Almeida, Stefanie Scherzinger, Herodotos Herodotou. Big Data Research, 2021 (DOI, Pre-print)
Efficient Detection of Data Dependency Violations. Eduardo H. Pena, Eduardo C. de Almeida, Edson R. L. Filho, Felix Naumann. CIKM, 2020 (PDF)
(Best Short-Paper Runner up) A Framework for Analyzing the Impact of Missing Data in Predictive Models. Fabiola Santore, Eduardo C. de Almeida, Eduardo H. Pena, Luiz Eduardo S. de Oliveira, Wagner Bonat. CIKM, 2020 (PDF)
Discovery of Approximate (and Exact) Denial Constraints. Eduardo H. Pena, Eduardo C. de Almeida, Felix Naumann. PVLDB, 2019, Vol. 3 Issue 3 (PDF)
Database Processing-in-Memory: An Experimental Study. Tiago R. Kepe, Eduardo C. de Almeida, Marco A. Z. Alves. PVLDB, 2019, Vol. 3 Issue 3 (PDF)
(Best Paper Award with student first author) Don’t Tune Twice: Reusing Tuning Setups for SQL-on-Hadoop Queries. Edson R. L. Filho, Eduardo C. de Almeida,Stefanie Scherzinger. ER, 2019 (PDF)
An Elastic Multi-Core Allocation Mechanism for Database Systems. Simone Dominico, Eduardo C. de Almeida, Jorge A. Meira, Marco A. Z. Alves. ICDE 2018 (PDF, slides)
ControVol: A Framework for Controlled Schema Evolution in NoSQL Application Development S. Scherzinger, T. Cerqueus, E. Cunha de Almeida. In: ICDE 2015. (PDF)

Current Ph.D. Students:

Simone Dominico (work presented at VLDB PhD Workshop'18)
Sérgio Marques

Graduated Ph.D.:

Leandro Batista de Almeida, 2021, co-advised with Anthony Ventresque, UCD-Dublin (work presented at the 53rd IEEE ICC)
Eduardo Henrique Pena, 2020, co-advised with Felix Naumann, HPI Potsdam (work presented at VLDB PhD Workshop'18)
Edson Ramiro Lucas Filho, 2020 (work presented at ACM SIGMOD Student Research Competition'17)
Tiago Rodrigo Kepe, 2019, co-advised with Marco Zanata (work presented at VLDB PhD Workshop'18)
Jorge Augusto Meira, 2014, co-advised with Yves Le Traon, SNT-Luxembourg

I acknowledge grants received by my students along their Ph.D. to attend conferences, buy/use equipment and we are grateful. We received generous grants from the VLDB Endowment, ACM, SIGMOD, SIGIR, Amazon AWS, NVIDIA, MEC-Brazil, MINCOM-Brazil, CAPES and CNPQ.

Updated: 15/03/2021