In addition to that, I was also graduate student at the Institute for Artificial Intelligence under a scholarship of the DAAD (Deutscher Akademischer Austausch Dienst). I
studied Computer Science with a focus in Artificial Intelligence and a minor subject in Physics at the University of Koblenz,
Germany and got an
intermediate diploma.
International
Conference Publications (Peer reviewed):
2011
Tomasz Oliwa and Khaled Rasheed, "A surrogate-assisted linkage inference approach in genetic algorithms", Proceedings of the 13th annual conference on Genetic and evolutionary computation (GECCO 2011),
Natalio Krasnogor (Ed.). ACM, New York, NY, USA, 997-1004. BibTex - ACM Link 2010
Tomasz Oliwa and Khaled Rasheed, "A Machine Learning Approach for Sensitivity Inference in Genetic Algorithms",
Proceedings of the 2010 International Conference on Genetic and Evolutionary Methods (GEM'2010),
Las Vegas, USA, 2010. BibTeX
2008
Tomasz Oliwa and Markus Wagner,
"Composing Music with Neural Networks and Probabilistic Finite-State
Machines", Proceedings of the Sixth European Workshop on Evolutionary
and Biologically Inspired Music, Sound, Art and Design (EvoMUSART 2008), Springer Berlin / Heidelberg, Springer, 503-508. BibTeX - Springer LNCS 4974 - PDF The final publication is available at www.springerlink.com.
1st place: Best Poster Award (from 41 accepted posters)
Best Poster Award, Tomasz Oliwa, "Music Composition with Artificial Intelligence", poster presentation at the UGA Computer Science Research Day, Athens, GA, USA.
Tomasz Oliwa, "Machine Learning techniques utilized for Prediction and Classification on the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset", presented at the Graduate Student Conference, Athens,
GA, USA.
2008
Tomasz Oliwa, "Introducing Structures for Music Composition with
Probabilistic Finite-State Machines", presented at the
8th Annual Georgia Graduate Student Interdisciplinary Conference (GGSIC 2008), Athens,
GA, USA.
2006
Tomasz Oliwa, "Understand the Java Memory Model", presented at the 5th
KeY Symposium 2006, Speyer, Germany.
Selected Projects:
Machine Learning My ongoing research project involves surrogate models (e.g. SVM, neural networks) to assist genetic algorithms
performance and result quality.
I am also interested in machine learning techniques for music composition based
on inductive learning.
You can get a first glimpse by looking at this poster from our
Poster Presentation at the 6th Sixth European
Workshop on Evolutionary and
Biologically Inspired Music, Art and Design in
Napoli, Italy.
Evolutionary Computation Currently I am investigating problem structure decomposition (linkage, sensitivity) of genetic algorithms. Previously, I was doing research on evolutionary computation implementing evolutionary creativity in the domain
of music composition. Check out my GECCO 2008
publication for a system based on genetic algorithms
which can compose multi-instrumental music or listen to some of
composed music by yourself here.
Formal Methods,
Verification
At the University
of Koblenz, Germany I was a graduate research assistant in the KeY Project,
a formal
methods
tool for specification and verification of object oriented software. Virtual/Simulated
GNU/Linux Networks
During my project internship at the University of Koblenz, Germany I
worked on an implementation of NIS and NFS
in VNUML
(Virtual Network User Mode Linux).
Interests
outside of Computer Science and Artificial Intelligence:
Electric Guitar
Check out one of my songs/records here. This hard rock instrumental
was recorded under GNU/Linux with audacity
for the guitar
recording and hydrogen for the drums. To listen to it, you will need the Ogg Vorbis
sound lib (Open source).
UGA Karate Club
Great workout and nice people.
Literature
I enjoy novels written by Stanislaw Lem, Franz Kafka or Thomas Pynchon
and I also like experimental novels
like House of
Leaves by Mark Z. Danielewski.
Disclaimer Content contained on this website may not reflect the views or opinions of the University of Georgia
or the Board of Regents of the University System of Georgia.
