I work in the
School of Computing
Queen's University
Kingston. Ontario
Canada.
I am also an Adjunct Professor in the Mathematics and Computer Science Department of the Royal Military College.
Coordinator, Research in Information Security, Kingston (RISK).
My blog on adversarial knowledge discovery.
RIP Ralph Stanton, 1923-2010, my Ph.D. supervisor, details here.
My web site is woefully out of date. I am working on it. Meanwhile, consider it under construction.
Latent structure is master of visible structure -- Heraclitus c500 B.C.
Omniomics -- the study of data from biological systems
The Feynman Problem Solving Algorithm: 1) Write down the problem. 2) Think very hard. 3) Write down the solution.
"The optimist looks at the glass and says the glass is half full.
The pessimist looks at the glass and says the glass is half empty.
The engineer looks at the glass and says that the glass is twice as
big as it needs to be."
"When one teaches, two learn."
"There are 10 kinds of people in the world, those who understand binary and those who don't."
Highlights |
I was awarded the 2009 IEEE Intelligent Transportation Systems Society and IEEE Systems, Man and Cybernetics Society Technical Committee on Homeland Security Technical Achievement Award for outstanding and sustained technical contributions to the field of Intelligence and Security Informatics.
My recent book: Knowledge Discovery for Counterterrorism and Law Enforcement is available from Taylor and Francis and Amazon
Research |
My research is focused on adversarial knowledge discovery, building inductive models from data in settings where the interests of modellers and those being modelled are not aligned. This includes counterterrorism, law enforcement,and fraud; but also increasingly areas such as customer relationship modelling. I work with some TLAs and even some FLAs.
Publications |
Online publications:
Research Activities |
I am on the Steering Committee of the IEEE International Conference on Intelligence and Security Informatics, 2007-- .
I am on the Steering Committee of the SIAM International Conference on Data Mining, 2007-- .
I am on the Program Committees of all of the usual data mining conferences and workshops, and also those related to security informatics.
I am an Associate Editor of IEEE Intelligent Systems, Computational Intelligence, Journal of Universal Computer Science, Scientific Programming, and Statistical Analysis and Data Mining.
Graduate Supervision |
I supervise theses in topics in adversarial knowledge discovery, focusing on textual data and graph/relational data. I work with colleagues in Politics (spin, radicalization), Business (financial fraud), and Psychology (deception) so there are possibilities in interdisciplinary research in these directions as well.
My current graduate students:
Some of my recent graduate students:
Research Resources
Mind mapping, a nice way to organise material when you don't already know how it fits together. It's useful for preparing drafts of theses and papers.
Teaching and Learning |
In the 2010-211 academic year I will be teaching:
I also supervise students in CISC499.
Here is some material on effective learning:
I am interested in hypermedia-based education.
Other Things |
Here are some of the interesting pathways via doctoral supervisors (there's more than one because some people had two supervisors; for example, Brauer was supervised by both Schur and Schmidt, and Dirichlet was supervised jointly by Poisson and Fourier, who were both students of Lagrange):
Skillicorn - Stanton - Brauer - Schur - Frobenius - Weierstrass - Guderman - Gauss
Skillicorn - Stanton - Brauer - Schmidt - Hilbert - Lindemann - Klein - Lipschitz - Dirichlet - Poisson/Fourier - Lagrange - Euler - Bernoulli
Up to School of Computing
Up to Queen's University
David Skillicorn