Office: J319
Education
Publications
Research interests
Brian J. Ross
Professor and Chair
Dept of Computer Science
Brock University
1812 Sir Isaac Brock Way
St Catharines, Ontario, Canada L2S 3A1
Office hours: --
bross@brocku.ca
www.cosc.brocku.ca/~bross/
Bio-Inspired Computational Intelligence Group. (BICIG)
Research description
My research areas are computational intelligence, evolutionary computation,
and genetic programming. My students and I are active in evolutionary design research,
and the new fields of computational aesthetics and creativity.
One research project explored the evolution of image filters, which attempt to
duplicate a target colour palette.
We incorporated Dr Bill Ralph's mathematical model of aesthetics, with the
goal of evolving visually pleasing images.
We extended this research to incorporate ideas from work in non-photorealistic rendering.
We also explored evolutionary design and 3D modeling, where topics include
architecture, floor plan design, illumination of interior spaces,
generalized 3D model generation using aesthetic evaluation, and energy efficiency.
Other research has investigated the use of EC for communicating agents in game
domains, procedural textures for 3D surfaces, shape characterization using
deep learning, 2D power spectra, and vector graphics.
I am also interested in the automatic synthesis of bio-networks
encoded in stochastic process algebra, as well as higher-level
bio-network modeling languages such as logical gene gates and PIM.
The goal is to automatically synthesize bio-networks that could generate
given time-course data, for example, changing protein levels over time.
This research needs to consider the evaluation of often noisy time-course data, which is
best characterized by statistical analyses.
The research also makes use of high-dimensional multi-objective strategies, as well
as grammatical modeling of target languages for genetic programming.
To support my research, I developed a Prolog-based genetic programming
system called DCTG-GP (Definite Clause Translation Grammar for Genetic
Programming). DCTG-GP lets the user define their target
language using a logical CFG.
This environment permits the languages grammar, semantics and constraints to be
unified together.
Please see the BICIG web page for more information.
Fall 2023 | Winter 2024 |
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http://www.cosc.brocku.ca/~bross/
Department of Computer Science
Brock University
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