Sheridan Houghten

Professor
Department of Computer Science
Brock University
St. Catharines, Ontario
Canada
phone: 905 688 5550 ext 4526
fax: 905 688 3255
shoughten@brocku.ca
 

Education

B.Sc. (Mathematics and Science College), Concordia University,1991
Master of Computer Science, Concordia University, 1993
Ph.D. (Computer Science), Concordia University, 199

Teaching

Research Interests

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.

Recent Papers

The following is a list of recent publications (2013-present only). Click here to see a full list of papers, technical reports and theses, including those recently submitted.

M. Dube, S. Houghten and D. Ashlock, Parameter Selection for Modeling of Epidemic Networks, 2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 8 pages, 2018.

S. Houghten, T.K. Collins, J.A. Hughes and J.A. Brown, Edit Metric Decoding: Return of the Side Effect Machines, 2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 8 pages, 2018.

Y. Kazemi and S. Houghten, A Deep Learning Pipeline to Classify Different Stages of Alzheimer's Disease from fMRI Data, 2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 8 pages, 2018.

A. Saunders, D. Ashlock and S. Houghten, Hierarchical Clustering and Tree Stability, 2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 8 pages, 2018.

T.K. Collins and S. Houghten, A Future Direction for the Disease Gene Association Problem, 2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, Extended Abstract (2 pages), 2018.

D. Ashlock and S. Houghten, Hybridization and Ring Optimization for Larger Sets of Embeddable Biomarkers, 2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, p. 1-8, 2017.

T.K. Collins, A. Zakirov, J.A. Brown and S. Houghten, Single-Objective and Multi-Objective Genetic Algorithms for Compression of Biological Networks, 2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, p. 1-8, 2017.

J. Orth, S. Houghten and L. Tulloch, Evaluation of the Salmon Algorithm, 2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, p. 1-8,  2017.

T. Ribaric and S. Houghten, Genetic Programming for Improved Cryptanalysis of Elliptic Curve Cryptosystems, 2017 IEEE Congress on Evolutionary Computation, p. 419-426, 2017.

P.E. Becker, M. Derka, S. Houghten and J. Ulrich, Build a Sporadic Group in Your Basement, American Mathematical Monthly 124, p. 291-305, 2017.

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, p.123-149, 2017.

J.A. Hughes, S. Houghten and D. Ashlock, Restarting and recentering genetic algorithm variations for DNA fragment assembly: The necessity of a multi-strategy approach, BioSystems 150, p.35-45, 2016.

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, 1-6, 2016.

A. Entezari Heravi and S. Houghten, A Methodology for Disease Gene Association using Centrality Measures, 2016 IEEE World Congress on Computational Intelligence, 24-31, 2016.

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.

Miscellaneous:

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.

Here is the weather in St. Catharines, Ontario.

This page last modified 29th August, 2018
All items copyright 2002-2018, Sheridan Houghten