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Dr. Suely Oliveira, Professor Department of
Computer Science, 14 MLH. Email:
suely-oliveira@uiowa.edu Office:
101 MLH Phone:
319-335-0731
Office Hours (FALL 2021) Tu - 11am-noon & 2-3pm (Zoom) |
RESEARCH: Machine Learning, Scientific Computing and Parallel Algorithms.
Professor Oliveira is a Full
Professor in Computer Science at the University of Iowa,
member of the Informatics and the Applied Mathematical and
Computational Sciences programs. She was previously an
Assistant Professor at Texas A&M, and has taught at and
visited Universities around the world, including the
Australian National University and University of São Paulo.
Professor Oliveira's research is interdisciplinary, on the
computational and theoretical aspects of algorithms in
Scientific Computing and Machine Learning for Engineering,
Biology, and Medicine. Projects have included clustering
algorithms for protein-protein networks, neural networks for
antibiotic resistance, and interpretable neural networks for
test assessments. She has advised or co-advised 13 PhD
dissertations and currently is supervising 5 PhD students.
Professor Oliveira has co-authored over 85 refereed papers and
published two books with Cambridge University Press and World
Scientific.
RESEARCH:
Publications
Book: Building Proofs: A Practical Guide, World Scientific
Book: Writing Scientific Software, Cambridge University Press
Current and Past PhD Students
Research Group: Optimization, Machine Learning and High Performance Computing
TEACHING: classes in the area of Parallel Computing, Algorithms, Discrete Structures, and Data Structures.
CS:2230 Computer Science II Data Structures: ( Fall2021,
Fall
2020 , Spring
2020 )
CS:4740/MATH:4740/STAT:4740
Large Data Analysis ( Spring
2019, 2018, 2017, 2016 )
CS:3330 Algorithms ( Fall
2018 sec 1 & sec 2 )
CS:4700/MATH:4860
High Performance and Parallel Computing ( Fall
2017 )
CS:2210 Discrete Structures ( Fall
2015 sec1 & sec 2)
REU Computing for Health and Well-being (Summer 2021)
Big Data Summer School (2015-2018)
RECENT SUPPORT:
Machine Learning for Antibiotic Resistance
Private Industry gift from JMI Laboratories, North Liberty
PIs: Suely Oliveira and Cory Kromer-Edwards
(2020-2021)
Double strand break repair maelstrom: causes, mechanisms and genome destabilizing consequences R35 GM127006-01.
NIGMS. Investigator/s Anna Malkova (Principal Investigator), Suely P Oliveira (Collaborator).
(2018-2023)
Large Data Analysis & Visualization at the University of Iowa
NSF EXTREMS-QED DMS-1407216
PI: Suely Oliveira, co-PIs: Mary Kathryn Cowles, Isabel Darcy, Bruce Ayati, and David Stewart.
(2014-2020)
Developing efficient algorithms to process massive spatial data
Private Industry grant from John Deere, Moline
PIs: Suely Oliveira and Rahil Sharma
(2015-2016)
SOME RECENT TALKS:
FSDM 2019 - October 19, 2019, Kitakyushu, Japan
IJCNN 2019 - July 2019, Budapest, Hungary
UIOWA 2018- October, 2019, Iowa City, IA
SIAM 2018 - July 2018, Portland, Oregon
MCA 2017 - July 2017, Montreal, Canada
RECENT UIOWA ACTIVITIES:
Information Technology Advisory Charter Committee (2021-2024)
Applied Mathematical and Computational Sciences Program
Large Data Analysis Undergraduate Certificate Coordinator (2014-2019),
Daily Iowan, Office of Research
SOME RECENT OUTSIDE ACTIVITIES:
TPC for the 11th Annual Computing and Communication Workshop and Conference,
IEEE CCWC 2022, Virtual, USA, January 2021
TPC for the International International Conference on Fuzzy Systems and Data Mining
FSDM, October 2020, Xiamen, China
TPC for the 20th IEE International Paralllel and Distributed Scientific and Engineering Computing
(PDSEC19), jointly with 33rd IEEE International Parallel and Distributed Processing Symposium (IPDPS)
May 2019, Rio de Janeiro, Brazil.
TPC for the International International Conference on Fuzzy Systems and Data Mining
FSDM, October 2019, Kitakyushu City, Japan
TPC for the International Conference on Fuzzy Systems and Data Mining
FSDM, November 2018, Bangkok, Thailand.
Sci Advisory Board (2018-present)
Big
Data and Cognitive Computing Special Issue Guest Editor,
2018
Big Data and
Cognitive Computing, Editor and Advisory Board