B A L Á Z S   C S A N Á D   C S Á J I ' S   H O M E P A G E
 

 [General]    [Degrees]    [Fields of Interest]    [Publications]    [Awards]    [Visits]    [Teaching]    [Projects]    [Languages]    [Other]    [Colleagues]

GENERAL INFORMATION

 


  

P o s t d o c t o r a l   R e s e a r c h e r
Research Group on Large Graphs and Networks (LGN),
Department of Mathematical Engineering (INMA),
Catholic University of Louvain (UCL)

Euler Building, A224
Avenue George Lemaître, 4-6,
Louvain-la-Neuve, Belgium, B-1348

Phone: (+32) 10-47-80-46
Fax: (+32) 10-47-21-80
Email: balazs [dot] csaji [at] uclouvain [dot] be

R e s e a r c h   F e l l o w
Engineering and Management Intelligence Laboratory (EMI),
Computer and Automation Research Institute (SZTAKI),
Hungarian Academy of Sciences (MTA)

Central Building, K317
Kende utca, 13-17,
Budapest, Hungary, H-1111

Phone: (+36) 1-279-6231
Fax: (+36) 1-279-7503
Email: csaji [at] sztaki [dot] hu

 

EDUCATION AND DEGREES

 

     Ph.D. in

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)
     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)
     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]

FIELDS OF INTEREST

 

     Computer Science:

Statistical Machine Learning, Resource Allocation Problems

     Mathematics:

Control Theory, Stochastic Processes, Approximation Theory

     Philosophy:

Philosophy of Science, Foundations of Mathematics, Logic

 

SELECTED PUBLICATIONS

  1. 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]

  2. 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]

  3. 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]

  4. 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]

  5. 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]

  6. 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

  7. Csáji, B. Cs.; Monostori, L.: Stochastic Reactive Production Scheduling by Multi-Agent Based Asynchronous Approximate Dynamic Programming, Lecture Notes in Artificial Intelligence; Vol. 3690, Proceedings of the 4th International Central and Eastern European Conference on Multi-Agent Systems, Sept. 15–17, Budapest, Hungary, 2005, pp. 388–397. [link]

  8. 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]

  9. 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]

  10. 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 AND SCHOLARSHIPS

 

Honors and Awards:

  
     2009 Junior Award for Research Excellence, Hungarian Academy of Sciences (MTA, HAS)
     2009 Publication Award, Computer and Automation Research Institute (SZTAKI), Budapest, Hungary
     2009 Prize for Excellence, Computer and Automation Research Institute (SZTAKI), Budapest, Hungary
     2006 Young Researcher Prize, Computer and Automation Research Institute (SZTAKI), Budapest, Hungary
     2006 Best Paper Award, International Workshop on Emergent Synthesis (IWES), University of Tokyo, Japan
     2004 Best Ph.D. Student Award, Computer and Automation Research Institute (SZTAKI), Budapest, Hungary
     2004 Prize for Excellence, Computer and Automation Research Institute (SZTAKI), Budapest, Hungary
     2000 First Prize, Informatics Session, Scientific Student Conference (TDK), Eötvös Loránd University, Budapest, Hungary

Res. Scholarships:

  
     2004 – 2007  Young Researcher Scholarship, Hungarian Academy of Sciences (MTA, HAS), Budapest, Hungary
     2001 – 2004  Ph.D. Scholarship, Faculty of Informatics, Eötvös Loránd University (ELTE), Budapest, Hungary
     2000 – 2001 Research Scholarship, Pázmány-Eötvös Foundation, Budapest, Hungary (Artificial Intelligence)

 

RESEARCH VISITS

 

Long-term visits:

  
     2009 Department of Mathematical Engineering, Catholic University of Louvain, Belgium, 8 months, postdoctoral research fellowship
     2003 Institute for Applied Knowledge Processing, Johannes Kepler University, Austria, 4 months, CEEPUS scholarship
     2002 Radical Multimedia Lab, BTexact Technologies, British Telecom, England, United Kingdom, 3 months, IAESTE exchange program
     2001 Faculty of Mathematics and Computing Science, Technical University of Eindhoven, Netherlands, 5 months, ERASMUS program

Short-term visits:

  
     2009 Department of Electrical Engineering and Computer Science, University of Ličge, Belgium
     2009  Robot Learning Group, Dalle Molle Institute for Artificial Intelligence (IDSIA), University of Lugano, Switzerland
     2008  Institute of Perception, Action and Behaviour, School of Informatics, University of Edinburgh, United Kingdom
     2008  Gatsby Computational and Theoretical Neuroscience and Machine Learning Unit, University College London, United Kingdom
     2007 Alberta Ingenuity Center for Machine Learning, Department of Computing Science, University of Alberta, Canada

 

TEACHING ACTIVITY

 

     2005 – 2006 Markov Decision Processes & Reinforcement Learning, Computer and Automation Research Institute (SZTAKI), Budapest
     2002 Theory of Operating Systems, Department of Information Systems, Eötvös Loránd University (ELTE), Budapest
     2000 – 2002 Programming Methodology, Department of Software Technology, Eötvös Loránd University (ELTE), Budapest

 

RESEARCH PROJECTS

 

     2009  Data Mining in Cellular Mobile Networks (Department of Mathematical Engineering, Catholic University of Louvain, Belgium)

     2005 – 2009

Coll-Plexity (Collaborations as Complex Systems), Nest, Sixth Framework Project of the EU (EMI, SZTAKI, Hungary)
     2005 – 2007 Modeling, Planning and Control of Distributed, Modular Production Structures, OTKA (EMI, SZTAKI, Hungary)
     2004 – 2006 MultiSens (Cameras as Multifunctional Sensors for Automated Processes), Sixth Framework Project of the EU (SZTAKI, Hungary)
     2003 Learning and Maintaining Similarity Information in Flexible Query Answering Systems (Johannes Kepler University, Austria)
     2002 Physics Engine for the TARA Graphical Library (Radical Multimedia Lab, British Telecom, United Kingdom)

     2000 – 2004

MPA (Modular Plant Architecture), Fifth Framework Project of the EU (EMI, SZTAKI, Hungary)

     2001

Constructive Approximation with Feed-forward Artificial Neural Networks (Technical University of Eindhoven, Netherlands)

     2000 – 2001

Augmented Reality for Parkinson Patients (Eötvös Loránd University and Semmelweis University, Hungary)

LANGUAGE SKILLS

 

     Hungarian:

fluent (mother tongue)

     English:

fluent (CEF Level: C1, Certificate in Advanced English (CAE), British Council)

     German:

good (CEF Level: C1, Zentrale Mittelstufenprüfung (ZMP), Goethe-Institut)

OTHER WORKS

     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]

COLLEAGUES

 

     László Monostori      László Gerencsér      Miklós Rédei      Vincent Blondel
     József Váncza      László Györfi      László E. Szabó      Paul Van Dooren
     Botond Kádár      Csaba Szepesvári      Balázs Gyenis      Marco Campi
     András Pfeiffer      András Lőrincz      András György      Tzvetan Ivanov
     Zsolt János Viharos      András Kovács      Levente Kocsis      Jean-Charles Delvenne
     András Urbán      Gábor Erdős      András Antos      Marco Gillies
     Péter Egri      Tamás Kis      György Ottucsák      Huub ten Eikelder

 

  

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