TEACHING EXPERIENCE | rosafilgueira

Co-supervisor of Alessandro Spinuso, Active Provenance for Data Intensive Research, since 2015
Co-supervisor of Luca Trani, Holistic Catalogues for Data-Intensive Science, since 2015
Co-supervisor of Ole Weidner, Data-Driven HPC, since 2015

Performance of parallel K-means algorithm using Python, 2020
From text to structured data, 2020
Dynamic optimizations of streaming applications, 2020
Automatic detection of Ionospheric Alfvén Resonances using machine learning algorithms, 2019
Parallel Strategies for K-means Algorithm, 2018
Comparison of performance between Apache Spark and dispel4py Data Streaming Tools, 2017
Dynamic and automated tool to transferr data and metadata from rock physic laboratories to a remote location, 2013
Enhancing a portable adaptive compression technique for MPI-based applications, 2013
Profiling analysis for a new Python framework (dispel4py) for describing abstract stream-based workflows, 2015
Design a run-time adaptive compression algorithm for stream-based workflows, 2015
Stream-based workflows with dispel4py library, 2015

PRAS-DT: Portable, Reliable, and Automatic Streaming Data Transfer using Globus Online, 2012
Extending Rock Physics to the Cloud and Beyond, 2013
Varpy: A python library for volcanology and rock physics, 2013
Testing the scalability of dispel4py mappings to different parallel platforms, 2014
Analyse the 1000 Genome project data to study the mutation overlapping by population and chromosome, 2015
Analyse the output of the Variant Effect Predictor (VEP) to study the overlapping genes, 2015

I have taught undergraduate courses in Master’s and Bachelor’s Computer Science Programmes. My responsibilities included material preparation, laboratory demonstration, grading homework and exams, and assisting students with course materials.
Subjects: Operating Systems, Computer Architecture, Fault-tolerant Systems, Introduction to Programming, Computer Structure and Distributed Systems

Rosa Filgueira