Junior BI Consultant with PBT, working in Big Data with much to learn.
Heavily interested in AI and biologically inspired computing, especially GAs.
Master's Degree in Computer Science from the University of Johannesburg.
Heydenrych, M., & Ehlers, E. M. (2011, November). A charged PSO inspired method for generating immune detectors for network intrusion detection. In IEEE TrustCom/IEEE ICESS/FCST, International Joint Conference of (pp. 134-141).
Heydenrych, M., & Ehlers, E. (2012, June). Inflammation Security: A Decentralised Immune Model for Resource Distribution in Networks. In TrustCom (pp. 1049-1056).
Heydenrych, M. and Ehlers, E.M., 2016. PARA-Antibodies: An Immunological Model for Clonal Expansion Based on Bacteriophages and Plasmids. In Advances in Nature and Biologically Inspired Computing (pp. 179-188). Springer International Publishing.