Jan Lemeire



 
 


Job description

Research
PhD
Talks
Publications
Education
Coordinates
Biography
Miscellaneous








Job Description
I am research assistant at the Department of Electronics and Informatics (ETRO) of the Faculty of Applied Sciences (TW) at the Vrije Universiteit Brussel (VUB).  My job consists of research and teaching. See  Parallel Website for more information about my professional activities.

Research

Fields: Parallel Performance, Causal Performance Models and Causal Structure Learning.
Nowadays less actifParallel Processing in general, Parallel Discrete Event Simulation, Parallelism & Intelligence, Complexity & Symmetry.

PhD

The work presented in my thesis consists of a philosophical, theoretical and practical exploration of causal inference and its benefits for the performance analysis of (parallel) computer programs.

PhD final text    promotion text (ook in het Nederlands) and abstract 

Presentation given at the public defense (19 december 2007)


Talks
      
       
Listen to the recorded talk: Evaluation of causal discovery with Bayesian networks with the principle of Kolmogorov Minimal Sufficient Statistic, Thursday 16 October 2008
                Website of machine learning reading group
       
        Introduction to Bayesian networks, presentation given at Verhaert, 30th january 2009 (Up2Date seminars)

        Seminar at Machine Learning Group of the ULB, 15th November 2006 (MLG-ULB)

        General talk about my PhD research, 24th May, 2006 (one of the weekly ETRO seminars)

Publications
Submitted/In Preparation

Published
  1. Jan Lemeire, Kris Steenhaut, Abdellah Touhafi, When are Graphical Causal Models not Good Models? In Causality in the sciences, J. Williamson, F. Russo and P. McKay, editors, Oxfod University Press, to appear at the end of 2010.
  2. Jan Lemeire, Kris Steenhaut. Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions, In JMLR Proceedings, Volume 6: Causality: Objectives and Assessment (NIPS 2008), 2010.
  3. Jan Lemeire, Causal structure learning and inductive inference based on Kolmogorov complexity, in Dagstuhl Seminar Proceedings, Machine learning approaches to statistical dependences and causality, September, 2009.
  4. Jan Lemeire, Yan Zhao, Peter Schelkens, Steve De Backer, Frans Cornelissen and Bert Torfs, Towards Fully User Transparent Task and Data Parallel Image Processing, in Procs. of Workshop on Parallel and Distributed Computing in Image Processing, Video Processing, and Multimedia, ISPA Symposium, 2009.
  5. Jan Lemeire, Kris Steenhaut, Constraint-based Causal Structure Learning when Faithfulness Fails, Annual machine learning conference of Belgium and The Netherlands (BeneLearn 2009), Tilburg, The Netherlands, 2009.
  6. Abdellah Touhafi, Kris Steenhaut, Jan Lemeire, De watertoren: een integratief project voor toekomstige ingenieurs, in Onderwijsvernieuwing: een continu proces, Thea Derks, Jan Driesen, Arnout Horemans, Frederik Questier, Kris Steenhaut en Hilde Van Lindt (eds.), VubPress, 2008. (Onderwijsvernieuwing & OnderwijsServiceCentrum)
  7. Frans Cornelissen, Steve De Backer, Jan Lemeire, Bert Torfs, Rony Nuydens, Theo Meert, Peter Schelkens and Paul Scheunders. Fibered fluorescence microscopy (FFM) of intra epidermal nerve fibers--translational marker for peripheral neuropathies in preclinical research: processing and analysis of the data. In Proc. of Applications of Digital Image Processing XXXI, part of SPIE Symposium on Optical Engineering and Applications, August 2008, San Diego, CA USA.
  8. Frans Cornelissen et al., Fibered fluorescence microscopy of intra epidermal nerve fibers as translational marker for peripheral neuropathies in preclinical research – Processing and analysis of the data, Knowledge for Growth 2008, Gent, Belgium.
  9. An Alternative Approach for Playing Complex Games like Chess, Annual machine learning conference of Belgium and The Netherlands (BeneLearn 2008), Spa, Belgium 2008. (slides of Presentation)
  10. Jan Lemeire, Erik Dirkx, Walter Colitti, Modeling the Performance of Communication Schemes on Network Topologies, Parallel Processing Letters, Vol. 18, No. 2, 2008.
  11. Causal Analysis for Performance Modeling of Computer Programs. Scientific Programming, Vol. 15, No 3, pp. 121-136, IOS Press, 2007.
  12. Colitti Walter, Steenhaut Kris, Nowe Ann, Lemeire Jan, Multilayer Quality and Grade of Service Support for High Speed GMPLS IP/DWDM Networks, NBiS 2007, LNCS, Volume: 4658, pp: 187 - 196, 2007.
  13. The Representation and Learning of Equivalent Information in Causal Models. Technical Report IRIS-TR-0099, May 2006.
    • Proposes a solution to the well-known problem that deterministic relations cannot be represented by faithful Bayesian Nets.
  14. Causal Performance Models of Computer Systems: Definition and Learning Algorithms. Technical Report IRIS-TR-0100, 2006.
    • About the utilization of causal models in performance analysis.
  15. A Refinement Strategy for a User-Oriented Performance Analysis. (Euro-Pvm 2004, slides of presentation)
  16. Causal Models for Parallel Performance Analysis, Fourth PA3CT-Symposium, Edegem, Belgium, September 2004.
  17. Lookahead Accumulation in Conservative Parallel Discrete Event Simulation. The 2004 High Performance Computing & Simulation (HPC&S) Conference.
  18. Exploiting Symmetrical Properties for Partitioning of Models in Parallel Discrete Event Simulation. (PADS 2004, Kufstein, Austria)
  19. Adaptive Load Balancing of Parallel Applications with Multi-Agent Reinforcement Learning on Heterogeneous Systems. (Scientific Programming journal, Vol 12, No 2 / 2004) 
  20. Complexity-Preserving Functions (DIMACS Workshop on Complexity and Inference 2003 presentation 'Complexity and Symmetry'
  21. Automated Experimental Parallel Performance Analysis (2002) (2nd PACT Symposium 2002
  22. Adaptive Load Balancing of Parallel Applications with Reinforcement Learning on Heterogenous Networks (2002) (DCABES 2002
  23. Performance Factors in PDES (2001) (ESM conference 2001)
Unpublished
  1. Causal Inference on Data Containing Deterministic Relations, February 2008.
  2. Causal Models as Minimal Descriptions of Multivariate Systems, 2006.
  3. Talk 'Practical Parallel Processing' at Royal Military Academy, May 2004, Brussels.
  4. Causes of Blocking Overhead in Message-Passing Programs (2003)
  5. Towards a Generalised Performance Analysis of Parallel Processing (2003)
  6. Natuurlijke Taal in de Formele Wereld van de Informatica (2001)
  7. Neural Networks: What's Inside. The Explicitness Hypothesis (2001)
Education
I teach the optional course Parallel Systems for the Masters of Computer Science and Masters of Applied Computer Science.
and am responsible for the practica of the following courses:


Coordinates
Jan  Lemeire
Vrije Universiteit Brussel    (VUB-map, find the VUB)
Faculty of Applied Sciences, ETRO dept.
Pleinlaan 2, B-1050 Brussels,  Belgium
Pleinlaan 9, second floor, room PL9-28  (how to find me and pleinlaan 9)
Tel  +32 2 629.16.79
Fax +32 2 629.28.70
Email : jan.lemeire@vub.ac.be


Biography
I graduated from the VUB in 1994 and received my (masters) diploma of electrotechnics engineer. I did my thesis at the VUB Artificial Intelligence-lab in the context of expert systems.  Then I completed my studies with an additional masters degree in Computer Science (Faculty of Science), also at the VUB, in 1995.

At the start of my professional carreer, I worked for 3.5 years in the private sector: first as a programmer for Cap Gemini, an IT consulting firm, then for Warmoes & Van Damme, a company specialised in knowledge systems (now, partly Aktor). I developed my professional skills during these years, but also found out that research is my real passion. Therefore I returned to the academic world to prove myself in a scientific carreer...

At first I was allocated on a project with Alcatel Bell on parallel simulation. Since march 2001 I was employed as an assistent, teaching with a lot of enthusiasm and combining it with pursuing a PhD about parallel performance analysis and causal inference. In December 2007 I received my PhD and got a postdoc position as VUB doctor-assistant. Since then I participate in the IBBT-project DMOBISA, focussing on the parallelization of image processing algorithms.



Miscellaneous

Besides my job, my life consists mainly of: