- B.Sc. (Mathematics and Science College), Concordia University,1991
- Master of Computer Science, Concordia University, 1993
- Ph.D. (Computer Science), Concordia University, 199
- Fall 2016:
- COSC 2P03 (Advanced Data Structures)
- Winter 2016:
My research interests include combinatorial optimization, algorithms (in the general sense), and computational intelligence. My research is directed at various application areas, including bioinformatics, coding theory and more.
Prospective Students: If you are a student considering completing a Master's degree or an Honours project and you are interested in any of the above topics, then please contact me. Students should be motivated and comfortable with mathematics (primarily discrete mathematics). Since it can be very difficult to evaluate applications, you should provide as much information as possible about your interests - for example, you might describe projects which you have already undertaken or in which you are interested. Please also see my FAQ.
I work closely with my students and ensure that all research students have the opportunity to publish their work in journals or conference proceedings. You may also wish to look at the list of projects completed by some of my past and present students.
Online tables: Some of my papers consider the problem of establishing bounds on the number of codewords in optimal edit-metric codes and insertion-deletion correcting codes. Tables on these bounds are maintained at the following locations: Edit Metric Codes and Insertion-Deletion Correcting Codes.
The following is a list of recent publications (2012-present only). Click here to see a full list of papers, technical reports and theses, including those recently submitted.
J.A. Brown, S. Houghten, T. Kennedy Collins and Q. Qu, Evolving Graph Compression using Similarity Measures for Bioinformatics Applications, 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, accepted.
P.E. Becker, M. Derka, S. Houghten and J. Ulrich, Build a Sporadic Group in Your Basement, American Mathematical Monthly, accepted.
J.A. Hughes, S. Houghten and D. Ashlock, Permutation Problems, Genetic Algorithms, and Dynamic Representations, book chapter for “Nature Inspired Computing and Optimization: Theory and Applications”, Springer book series on Modelling and Optimization in Science and Technology, to appear (2016).
A. Entezari Heravi and S. Houghten, A Methodology for Disease Gene Association using Centrality Measures, 2016 IEEE World Congress on Computational Intelligence, accepted.
L. Plant and S. Houghten, Properties of Optimal and Near Optimal Edit Metric Error Correcting Codes, Congressus Numerantium 224, p.147-157, 2015.
D. Ashlock and S. Houghten, Lexicode Crossover for Embeddable Biomarkers, 2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 1-7, 2015.
A. Entezari Heravi, K. Tahmasebipour and S. Houghten, Evolutionary Computation for Disease Gene Association, 2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 1-8, 2015.
M. Goodarzi, S. Houghten and P. Liang, Effect of Multi-K Contig Merging in de novo DNA Assembly, 2014 IEEE Conference on Bioinformatics and Bioengineering, 355-361, 2014.
K. Tahmasebipour and S. Houghten, Disease-Gene Association using a Genetic Algorithm, 2014 IEEE Conference on Bioinformatics and Bioengineering, 191-197, 2014
J. Hughes, S. Houghten and D. Ashlock, Recentering and Restarting a Genetic Algorithm using a Generative Representation for an Ordered Gene Problem, International Journal of Hybrid Intelligent Systems, Vol.11, No.4, 257-271, 2014.
C. Price, S. Houghten, S. Vassiliev and D. Bruce, Modeling Metal Protein Complexes from Experimental Extended X-ray Absorption Fine Structure using Evolutionary Algorithms, 2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 1-8, 2014.
J. Hughes, S. Houghten, G. Mallen-Fullerton and D. Ashlock, Recentering and Restarting Genetic Algorithm Variations for DNA Fragment Assembly, 2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 1-8, 2014.
G. Mallen-Fullerton, J. Hughes, S. Houghten and G. Fernandez-Anaya, Benchmark Data Sets for the DNA Fragment Assembly Problem, International Journal of Bio-Inspired Computation, Vol.5, No.6, p.384-394, 2013.
J. Hughes, S. Houghten and D. Ashlock, Recentering, Reanchoring and Restarting an Evolutionary Algorithm, 5th World Congress on Nature and Biologically Inspired Computing, p.76-83, 2013.
J. Hughes, J. Brown, S. Houghten and D. Ashlock, Edit Metric Decoding: Representation Strikes Back, IEEE Congress on Evolutionary Computation, p.229-236, 2013.
M. Derka, S. Houghten and P. Becker, A methodology for constructing the basis of a putative (72,36,16) extremal code for a given automorphism group, Congressus Numerantium 212, p.173-193, 2012.
Z. Li and S. Houghten, Searching for optimal deletion correcting codes: new properties and extensions of Tenengolts Codes, 12th IEEE International Conference on Computer and Information Technology (CIT 2012), p. 647-654, 2012.
D. Ashlock, S. Houghten, J.A. Brown and and J. Orth, "On the Synthesis of DNA Error Correcting Codes", BioSystems 110, p.1-8, 2012.
D.E. McCarney, S. Houghten and B.J. Ross, Evolutionary Approaches to the Generation of Optimal Error Correcting Codes, Genetic and Evolutionary Computation Conference (GECCO 2012), ACM, p.1135-1142, 2012.
F. Alizadeh Noori and S. Houghten, A MultiObjective Algorithm with Side Effect Machines for Motif Discovery, 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, p.275-282, 2012.
Miscellaneous:This page last modified 26th July, 2016 © Copyright Sheridan Houghten, 2002-2016
I am the coach for Brock University's teams entered in the ACM Programming Contest. If you are interested in participating, or wish to know more, contact me.
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