Institute of High Performance Computing

• Directors
• Computing Science (CS)
• Electronics & Photonics (EP)
• Engineering Mechanics (EM)
• Fluid Dynamics (FD)
• Material Science & Engineering (MSE)
• IHPC Independent Investigatorship (I³)

Computing Science (CS)

Dr. James Christian DECRAENE

• Title: Scientist
• Tel: 6419 1476
• Email: decraenejc@ihpc.a-star.edu.sg

Research Interests:

• Complex adaptive systems
• Modeling & simulation
• Evolutionary computation

Qualifications:

• BSc (Hons) 1st, Computer Science, Teesside University (UK)
• PhD, Complex Adaptive Systems, Dublin City University (Ireland)

Published Journals/ Articles:

Journals

• Zeng F., Decraene J., Low M.Y.H., Zhou S., Cai W., Evolving Optimal and Diversified Military Operational plans for Computational Red Teaming, IEEE Systems Journal special issue: Complexity in Engineering: from Complex Systems Science to Complex Systems Technology, to appear (2012).
• Narang V., Decraene J., Wong S.Y., Aiswarya B.S., Wasem A.R., Leong S.R., Gouaillard A., Systems Immunology - A Survey of Modeling Formalisms, Applications and Simulation Tools. Immunologic Research journal, Springer, to appear (2012).
• Decraene J., McMullin B., The Evolution of Complexity in Self-Maintaining Cellular Information Processing Networks. In Advances of Complex Systems, World Scientific Publishing, vol 14(1), pages 55-75, 2011.
• Decraene J., Hinze T., A Multidisciplinary Survey of Computational Techniques for the Modelling, Simulation and Analysis of Biochemical Networks. Journal of Universal Computer Science, vol16(9), pages 1152-1175, 2010.

Conferences

• Acerbi E., Decraene J., Gouaillard A., Computational Reconstruction of Biochemical Networks, In Proceedings of the 15th International Conference on Information Fusion, IEEE press, to appear (2012).
• Decraene J., Yong Y.C., Zeng F., Low M.Y.H, Cai W., Choo C.S., Evolutionary Design of Experiments using the MapReduce Framework. In Proceedings of Summer Simulation Conference (SummerSim 2011) To appear. ACM press.
• Zeng F., Decraene J., Low M.Y.H., Cai W., Zhou S., Hingston P., High-dimensional Objective-based Data Farming. In Proceedings of the IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2011, pages 80-87, IEEE press.
• Zeng F., Decraene J., Low M.Y.H., Cai W., Hingston P., Studies of Pareto-based Multi-objective Competitive Coevolutionary Dynamics. In Proceedings of the IEEE Congress of Evolutionary Computation 2011, pages  2383 - 2390,  IEEE press.
• McMullin B., Decraene J., Evolution of Self-maintaining Cellular Information Processing Networks. In Proceedings of the Eleventh European Conference on the Synthesis and Simulation of Living Systems (ECAL 2011), pages 130-132, MIT press.
• Decraene J., Chandramohan M., Zeng F., Low M.Y.H., Cai W., Evolving Agent-based Model Structures using Variable Length Genomes. In Proceedings of the 3rd Workshop on Optimization for Multi-agent Systems at AAMAS"11.
• Decraene J., Lee Y., Zeng F., Chandramohan M., Yong Y.C., Low M.Y.H., Evolutionary Design of Agent-based Simulation Experiments (demonstration). In Proceedings of the AAMAS"11, pages 1321-1322, ACM press.
• Decraene J., Chandramohan M., Low M.Y.H., Choo. C.S., Evolvable Simulations Applied to Automated Red Teaming: A Preliminary Study. In Proceedings of the 42th Winter Simulation Conference (Wintersim 2010), pages 1444-1455, ACM Press.
• Decraene J., Low M.Y.H., Zeng F., Zhou S., Cai W., Automated Modeling and Analysis of Agent-based Simulations using the CASE Framework. In Proceedings of the 11th International Conference on Control, Automation, Robotics and Vision (ICARCV 2010), pages 346 -351, IEEE press.
• Decraene J., Anderson M., Low M.Y.H., Maritime Counter-piracy Study using Agent-based Simulations. In Proceedings of the Spring Simulation Multiconference (SpringSim 2010), pages 82-89, ACM press.
• Decraene J., Zeng F., Low M.Y.H, Zhou S., Cai W., Research Advances in Automated Red Teaming. In Proceedings of the Spring Simulation Multiconference (SpringSim 2010), pages 145-152, ACM press. 
• Zeng F., Decraene J., Low M.Y.H., Hingston P., Cai W., Zhou S., Chandramohan M., Autonomous Bee Colony Optimization for Multi-objective Function. In Proceedings of the IEEE World Congress on Computational Intelligence (WCCI 2010), pages 1-8, IEEE press.
• Decraene J., Mitchell G.G., McMullin B., Crosstalk and the Cooperation of Collectively Autocatalytic Reaction Networks. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2009), pages 2249-2256, IEEE press.
• Decraene J., Closure in Artificial Cell Signalling Networks: Investigating the Origins of Cognition in Collectively Autocatalytic Reaction Networks. In Proceedings of the Second International Conference on Bio-inspired Systems and Signal Processing (BioSignals 2009), pages 107-114, IASTED press.
• Decraene J., Mitchell G.G., McMullin B., Unexpected evolutionary dynamics in a string based artificial chemistry. In Proceedings of the Eleventh International Conference on Artificial Life (Alife 2008), pages 158-165, MIT Press.
• Mitchell G.G., McMullin B., Decraene J., Kelly C. Quality time tradeoff operator for designing efficient multi level genetic algorithms. In Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation (GECCO 2007), pages 1527-1527, ACM press.
• Mitchell G.G., McMullin B., Decraene J., A Cost Benefit Operator for Efficient Multi Level Genetic Algorithm Searches. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2007), pages 1344-1350, IEEE press.
• Decraene J., Mitchell G.G., McMullin B., The Holland Broadcast Language and the Modeling of Biochemical Networks. In Proceedings of the 10th European Conference on Genetic Programming (EuroGP 2007) - pages 361-37, Lecture Notes in Computer Science, Vol. 4445, Springer.
• Decraene J., Mitchell G.G., McMullin B., Evolving artificial cell signaling networks using molecular classifier systems. In Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems (Bionetics 2006) - pages 1-8, ACM/IEEE.

Book Chapter(s)

• Zeng F., Decraene J., Low M.Y.H., Zhou S., Cai W., Diversity-driven Self-Adaptation in Evolutionary Algorithms. In Intelligent Control and Computer Engineering, pages 95-106, Springer 2011.
• Hinze T., Decraene J., Mitchell G.G., Behre J., Schuster S., Towards a Unified Approach for the Modelling, Analysis, and Simulation of Cell Signalling Networks. In Sequence and Genome Analysis: Methods and Applications, pages 227-257,  IConcept Press, 2011.
• Decraene J., Mitchell G.G., McMullin B., Evolving Artificial Cell Signaling Networks: Perspectives and Methods. In Advances in Biologically Inspired Information Systems: Models, Methods, and Tools. Series Studies in Computational Intelligence, Vol. 69, pages 165-184, Springer, 2007.