Vrije Universiteit Brussel
Artificial Intelligence Lab
Building G, 10th floor
- “If we knew what it was we were doing, it would not be called research, would it?” (Albert Einstein - Noble Prize Physics 1921)
- “Science is an essentially anarchistic enterprise: theoretical anarchism is more humanitarian and more likely to encourage progress than its law-and-order alternatives.” (Paul Feyerabend - Philosopher)
- “Computer science is no more about computers than astronomy is about telescopes” (Edsger Dijkstra - Turing Award winner 1972)
- “Lisp has jokingly been called “the most intelligent way to misuse a computer. I think that description is a great compliment because it transmits the full flavor of liberation: it has assisted a number of our most gifted fellow humans in thinking previously impossible thoughts.” (Edsger Dijkstra - Turing Award winner 1972)
- “There is no harm in doubt and skepticism, for it is through these that new discoveries are made.” Richard P. Feynman - Noble Prize Physics 1965)
- 1978 Bachelor's degree in Philosophy with great distinction, State University of Ghent. Subject: Linear System Theory and Quantum Mechanics, promotor: Prof. Dr. Leo Apostel (State University Ghent).
- 1982 Bachelor's degree with the greatest distinction in Mathematics through the Central Examination Commission of the Ministry of Education. Subject: Catastrophe Theory, promotor: Prof. Dr. R.Delanghe (State University Ghent).
- 1982-1985 Software engineer at Bell Telephone Antwerp (Belgium). Main concerns there were the operating system and relational database of System 12, a digital exchange which can be viewed as a massively parallel computer.
- 1985-1992 Affiliation with the Artificial Intelligence Laboratory of the Free University Brussels headed by Prof. Dr. L. Steels through his research on parallelism, genetic algorithms and classifier systems. Ph. D. with the greatest distinction. Subject: Selectionism as a Basis for Categorization and Adaptive Behavior, promotor: Prof. Dr. L. Steels. Received the IBM-prize for Informatics for this dissertation.
- 1992-1994 Assistant professor in the Department of Computer Science (Faculty of Economics) at the Erasmus University Rotterdam where he is teaching the courses Knowledge Systems, Programming Paradigms and Learning Systems.
- Since 1994 Professor in the Computer Science Department at the University of Brussels where he is teaching the courses Formal Methods, Algorithms and Datastructures, Adaptive Systems, Theory of Computation, and Techniques of Artificial Intelligence.
- IBM Prize for Informatics 1992 for the PhD dissertation Selectionism as a Basis for Categorization and Adaptive Behavior.
- Awarded a Science and Technology Agency and Fellowship (sponsorewd by the Japanses Government) by the European Commision (DG XII) in 1992
- Awarded a ERCIM (European Research Center for Informatics and Mathematics) Fellowship by the European Commision (DG XII) in 1992.
Conferences and Journals
Bernard Manderick is a member of the editorial board of a number of jounals, member of the program committee and/or reviewer of the following conferences:
- Journal of Evolutionary Computation (editorial board), MIT Press.
- IEEE Transactions on Evolutionary Computation (editorial board), IEEE.
- Evolutionary Optimization, An international Journal on the Internet.
- IEEE Transactions on Systems, Man, and Cybernetics, IEEE
- Journal of Artificial Intelligence, North-Holland
- Journal of Applied Artificial Intelligence
- International Conference on Genetic Algorithms 91, 93, 95, 97.
- International Conference on Parallel Problem Solving from Nature 92, 94, 96, 98.
- International Conference on Evolvable Systems: From Biology to Hardware 96, 98.
- IEEE World Conference on Computational Intelligence, 94, 95, 96, 97.
- IEEE Conference on Evolutionary Computation, 95, 96, 97.
- European Conference on Artificial Intelligence.
- European Symposium on Artificial Neural Networks 96, 97, 98.
- International Joint Conference on Artificial Intelligence.
- 12th Brazilian Symposium on Artificial Intelligence, 95.
- International Conference on Software Agents, 1996.
Honesty and deception in populations of selfish, adaptive individuals. The Knowledge Engineering Review, 15.. (In Press).
An adaptive rule-based classifier for mining big biological data. ( )Expert Systems with Applications, Elsevier, 64. doi:http://dx.doi.org/10.1016/j.eswa.2016.08.008. (2016).
A New Data Balancing Method for Classifying Multi-Class Imbalanced Genomic Data. In , 25th Belgian-Dutch Conference on Machine Learning (Benelearn). presented at the 09/2016, Kortrijk, Belgium.. (2016).
A Feature Grouping Method for Ensemble Clustering of High-Dimensional Genomic Big Data. In , IEEE Future Technologies Conference . presented at the 12/2016, San Francisco, United States.. (2016).
Ensemble of trees for classifying high-dimensional imbalanced genomic data. In , IEEE SAI Intelligent Systems Conference (IntelliSys 2016). presented at the 09/2016, London, UK.. (2016).
An ensemble clustering for mining high-dimensional biological big data. ( )International Journal of Design & Nature and Ecodynamics, 11(3).. (2016).
Combining Boosting and Active Learning for Mining Multi-Class Genomic Data. In , 25th Belgian-Dutch Conference on Machine Learning (Benelearn). presented at the 09/2016, Kortrijk, Belgium.. (2016).
An ensemble clustering for mining high-dimensional biological big data. In , International Conference on Big Data. presented at the 05/2016, Alicante, Spain.. (2016).
The Limits and Robustness of Reinforcement Learning in Lewis Signaling Games. Connection Science, 26(2), 177. doi:10.1080/09540091.2014.885303. (2014).
Online Knowledge Gradient Exploration in an Unknown Environment. The 6th International Conference on Agents and Artificial Intelligence (ICAART). LERIA, University of Angers, France.. (2014).
Annealing-Pareto Multi-Objective Multi-Armed Bandit Algorithm. In proceedings of IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning(ADPRL). presented at the 12/2014.. (2014).
Multivariate Normal Distribution Based Multi-Armed Bandit Pareto Algorithm. In the 7th European conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (EMCL/PKDD), PhD track. presented at the 2014.. (2014).
“Knowledge Gradient Exploration in Online Kernal-Based LSPI. In The 25th Benelux Conference on Artificial Intelligence (BNAIC). Delft, The Netherlands.. (2013).
Knowledge Gradient Exploration in Online Least Squares Policy Iteration. The 5th International Conference on Agents and Artificial Intelligence (ICAART). Barcelona, Spain.. (2013).
Empirical Evaluation of Shortest Path Gaussian Kernels over State Action Graphs. The 5th International Conference on Agents and Artificial Intelligence (ICAART). Barcelona, Spain.. (2013).
Evolutionary Stability of Honest Signaling in Finite Populations. In Proceedings of the IEEE Congress on Evolutionary Computation. Cancun, Mexico: IEEE Computer Society.. (2013).
Shortest Path Gaussian Kernels for State Action Graphs: An Empirical Study. In The 24th Benelux Conference on Artificial Intelligence (BNAIC). Maastricht, The Netherlands.. (2012).
The Exploration vs Exploitation Trade-Off in the Multi-Armed Bandit Problem: An Empirical Study. Proceedings of the 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). presented at the 04/2012, Bruges, Belgium.. (2012).
Heterogeneous Populations of Learning Agents in the Minority Game. Adaptive and Learning Agents, LNCS, 7113, 100–113.. (2011).
- ICAART 2015@ Best student paper award (17 Jan 2015)
- Emerging techniques and applications in Multi-objective Reinforcement Learning (ESANN2015) (13 Sep 2014)
- Special session for 2015 IEEE Congress on Evolutionary Computation (CEC2015): Combining Evolutionary Computation and Reinforcement Learning (29 Jul 2014)
- Reinforcement Learning and Optimization in Stochastic Multi-objective Environments (5 Apr 2014)
- CFP: Workshop at PPSN 2014 "In Search of Synergies between Reinforcement learning and Evolutionary Computation" (11 Dec 2013)