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[General]
[Degrees]
[Fields of Interest]
[Publications]
[Awards]
[Visits] [Teaching]
[Projects]
[Languages]
[Other]
[Colleagues]
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Research Fellow
Department of
Electrical and Electronic Engineering (EEE),
Melbourne School of Engineering
(MSE),
University of
Melbourne (UoM)
Engineering Building (193),
Room
3.12
240 Grattan street
Melbourne, Australia, VIC 3010
Phone: (+61) 4-5109-0364
Fax: (+61) 3-8344-6678
Email: bcsaji [at] unimelb [dot] edu [dot] au
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Research Fellow
Engineering and Management Intelligence Laboratory (EMI),
Computer and Automation Research Institute (SZTAKI),
Hungarian Academy of Sciences (MTA)
Central Building, Room K317
13-17
Kende utca
Budapest, Hungary, H-1111
Phone: (+36) 1-279-6231
Fax: (+36) 1-279-7503
Email: csaji [at] sztaki [dot] hu |
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Ph.D. in
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Computer
Science, Faculty of Informatics, Eötvös
Loránd University (ELTE-IK), Budapest, Hungary, 2008
Thesis: Adaptive Resource Control: Machine Learning Approaches to
Resource Allocation in Uncertain and Changing Environments
[pdf]
Supervisor: László Monostori (Budapest University
of Technology and Economics (BME), Budapest, Hungary) |
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M.A. in |
Philosophy,
Faculty of Humanities, Eötvös Loránd University
(ELTE-BTK), Budapest, Hungary, 2006
Thesis: Paradoxes in Rational Collective Decisions (Social Philosophy,
the thesis is in Hungarian)
[pdf]
Supervisor: Miklós Rédei (London School of
Economics and Political Science (LSE), London, United Kingdom) |
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M.Sc. in |
Computer Science
& Mathematics (Joint Degree),
Faculty of Science, Eötvös Loránd University (ELTE-TTK), Budapest,
Hungary, 2001
Thesis: Approximation with Feed-Forward Artificial Neural Networks
(Machine Learning)
[pdf]
Supervisor: Huub ten Eikelder (Eindhoven University of Technology
(TU/e), Eindhoven, Netherlands) |
More Information: Curriculum
Vitae (including reviewing activities and summary of the
publications, theses and citations) [pdf]
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Computer Science: |
Statistical Machine Learning, Resource Allocation Problems |
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Mathematics: |
Control Theory, Stochastic Processes, Approximation Theory |
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Philosophy: |
Philosophy of Science, Foundations of Mathematics, Logic |
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Csáji, B. Cs.; Jungers, R. M.; Blondel, V.
D.: PageRank Optimization by Edge Selection, submitted, 2009
[arXiv]
[pdf]
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Csáji, B. Cs.; Monostori, L.: Value
Function Based Reinforcement Learning in Changing Markovian
Environments, Journal of Machine Learning Research (JMLR), Vol.
9, 2008, 1679–1709
[link]
[pdf]
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Csáji, B. Cs.; Monostori, L.: Adaptive
Stochastic Resource Control: A Machine Learning Approach,
Journal of
Artificial Intelligence Research (JAIR), Vol. 32, 2008, 453–486
[link]
[pdf]
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Csáji, B. Cs.; Monostori, L.: A Complexity
Model for Networks of Collaborating Enterprises, Proceedings of the
17th World Congress of the International Federation of Automatic Control
(IFAC), July 6–11, Seoul, Korea, pp. 13833–13838, 2008
[pdf]
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Csáji, B. Cs.; Monostori, L.; Kádár, B.:
Reinforcement Learning in a Distributed Market-Based Production Control
System, Advanced Engineering Informatics (formerly known as
Journal of Artificial Intelligence in Engineering), Elsevier, Vol. 20,
No. 3, 2006, pp. 279–288.
[link]
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Csáji, B. Cs.; Monostori, L.: Adaptive
Sampling Based Large-Scale Stochastic Resource Control, Proceedings of
the 21st National Conference on Artificial Intelligence
(AAAI-06), July 16–20, Boston, Massachusetts, 2006, pp. 815–820.
[pdf]
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Csáji, B. Cs.; Monostori, L.: Adaptive
Algorithms in Distributed Resource Allocation, Proceedings of the
6th
International Workshop on Emergent Synthesis (IWES), Kashiwa, The
University of Tokyo, Japan, August 18–19, 2006. pp. 69–75. [pdf]
Best Paper Award
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Csáji, B. Cs.; Küng, J.; Palkoska, J.;
Wagner, R.: On the Automation of Similarity Information Maintenance in
Flexible Query Answering Systems; Lecture Notes in Computer Science, Vol. 3180, Proceedings of the
15th International Conference on Database and Expert Systems
Applications (DEXA), Aug. 30-Sept. 3, Zaragoza, Spain, 2004, pp.
130–140.
[link]
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Csáji, B. Cs.: In Defense of the Symmetry
of True and False; Proceedings of the 6th Interdisciplinary Symmetry
Congress and Exhibition of ISIS (International Society for the
Interdisciplinary Study of Symmetry), October 22–29, Tihany, Hungary,
2004, pp. 46–49.
[pdf]
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Csáji, B. Cs.; Kádár, B.; Monostori, L.:
Improving Multi-Agent Based Scheduling by Neurodynamic Programming,
Lecture Notes in Artificial Intelligence, Vol. 2744, Proceedings of
the 1st International Conference on Holonic and Multi-Agent Systems
for Manufacturing (HoloMAS), Sept. 1-3, Prague, Czech Republic,
2003, pp. 110–123.
[link]
More Information: Publication
List (including
information on impact factors, known independent citations and invited talks)
[pdf]
AWARDS,
HONORS
AND SCHOLARSHIPS
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Honors and Awards:
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2009 |
Finalist (top 5) of the Cor Baayen
Award,
European Research Consortium for Informatics and Mathematics
(ERCIM), EU |
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2009 |
Junior Award for Research Excellence,
Hungarian Academy of Sciences (MTA, HAS), Hungary |
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2009 |
Publication Award, Computer and Automation Research
Institute (SZTAKI), Budapest, Hungary |
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2009 |
Prize for Excellence, Computer and
Automation Research Institute (SZTAKI), Budapest, Hungary |
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2006 |
Young Researcher Prize, Computer and Automation Research
Institute (SZTAKI), Budapest, Hungary |
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2006 |
Best Paper Award, International Workshop on Emergent Synthesis
(IWES), University of Tokyo, Japan |
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2004 |
Best Ph.D. Student Award, Computer and Automation Research
Institute (SZTAKI), Budapest, Hungary |
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2004 |
Prize for Excellence, Computer and
Automation Research Institute (SZTAKI), Budapest, Hungary |
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2000 |
First Prize, Informatics Session,
Scientific Student Conference (TDK), Eötvös Loránd University, Budapest,
Hungary |
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Res. Scholarships:
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2004
– 2007 |
Young Researcher Scholarship, Hungarian Academy of Sciences
(MTA, HAS), Budapest, Hungary |
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2001
– 2004 |
Ph.D. Scholarship, Faculty of Informatics, Eötvös
Loránd University (ELTE), Budapest, Hungary |
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2000 – 2001 |
Research Scholarship, Pázmány-Eötvös Foundation,
Budapest, Hungary (Artificial Intelligence) |
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Long-term visits:
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2009 – 2011 |
Department of Electrical and Electronic Engineering, University of
Melbourne, Australia, 2 years, postdoctoral research fellowship |
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2009 |
Department of Mathematical Engineering,
Catholic University of Louvain, Belgium, 8 months, postdoctoral
research fellowship |
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2003 |
Institute for Applied Knowledge Processing,
Johannes Kepler University, Austria, 4 months, CEEPUS scholarship |
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2002 |
Radical Multimedia Lab, BTexact
Technologies, British Telecom, England, United Kingdom, 3
months, IAESTE exchange program |
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2001 |
Faculty of Mathematics and Computing
Science, Technical University of Eindhoven, Netherlands, 5
months, ERASMUS program |
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Short-term visits:
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2009 |
Department of Electrical Engineering and Computer Science,
University of Ličge, Belgium |
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2009 |
Robot Learning Group, Dalle Molle Institute for Artificial Intelligence
(IDSIA), University of Lugano, Switzerland |
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2008 |
Institute of Perception, Action and Behaviour, School of Informatics,
University of Edinburgh, United Kingdom |
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2008 |
Gatsby Computational and Theoretical Neuroscience and Machine Learning
Unit, University College London, United Kingdom |
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2007 |
Alberta Ingenuity Center for Machine
Learning, Department of Computing Science, University of Alberta,
Canada |
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2005 – 2006 |
Markov Decision
Processes & Reinforcement Learning, Computer and Automation Research Institute
(SZTAKI), Budapest |
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2002 |
Theory of Operating Systems,
Department of Information Systems, Eötvös Loránd University (ELTE),
Budapest |
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2000 – 2002 |
Programming Methodology, Department
of Software Technology, Eötvös Loránd University (ELTE), Budapest |
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2009 |
Data Mining in Cellular Mobile Networks (Department of Mathematical
Engineering, Catholic University of Louvain, Belgium) |
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2005 – 2009 |
Coll-Plexity (Collaborations
as Complex Systems), Nest,
Sixth Framework Project of the EU (EMI, SZTAKI, Hungary) |
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2005 –
2007 |
Modeling, Planning and Control of
Distributed, Modular Production Structures,
OTKA
(EMI, SZTAKI, Hungary) |
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2004 –
2006 |
MultiSens (Cameras as Multifunctional
Sensors for Automated Processes),
Sixth
Framework Project of the EU (SZTAKI, Hungary) |
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2003 |
Learning and Maintaining Similarity Information in
Flexible Query Answering Systems (Johannes Kepler University, Austria) |
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2002 |
Physics Engine for the TARA Graphical
Library (Radical Multimedia
Lab, British Telecom, United Kingdom) |
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2000 – 2004 |
MPA
(Modular Plant Architecture), Fifth Framework Project of the EU (EMI, SZTAKI,
Hungary) |
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2001 |
Constructive Approximation with Feed-forward Artificial Neural Networks
(Technical University of Eindhoven, Netherlands) |
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2000 – 2001 |
Augmented Reality for Parkinson Patients (Eötvös
Loránd University and Semmelweis University, Hungary) |
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Hungarian: |
fluent (mother tongue) |
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English: |
fluent (CEF Level: C1, Certificate in Advanced English (CAE), British
Council) |
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German:
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good (CEF Level: C1, Zentrale Mittelstufenprüfung
(ZMP), Goethe-Institut)
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Csáji, B. Cs.: A
Machine Learning Approach to Stochastic Resource Control
(Poster, DYSCO Study Day, Mons, Belgium), 2009
[pdf]
Csáji, B. Cs.; Rédei,
M.: On the Constraints of Rational Judgment Aggregation
(Hungarian Philosophical Review), 2009
[pdf]
Csáji, B. Cs.: Learning in Changing Environments; Reinforcement Learning
in Environments with Asymptotically Bounded Variation, UCL, 2008
[pdf]
Csáji, B. Cs.:
Introduction to Off-Policy Learning, SZTAKI, 2006
[pdf]
Csáji, B. Cs.: Introduction to Temporal Difference Learning (Hungarian
Text), SZTAKI, 2005 [pdf]
Csáji, B. Cs.: Intuitionism in Mathematics (Philosophy of
Science), ELTE-BTK, 2004
[pdf] (Hungarian Text); Presentation:
[pdf]
Csáji, B. Cs.: Pandora 0.44, C++,
a free
win32 chess program, 2000 –
2002 [zip]
Csáji, B. Cs.: Demonstration Program: OCR with Multilayer Perceptrons,
Delphi, win32, (Hungarian), 2000
[zip]
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