Dr. Beatrice Ombuki-Berman's Current & Recent Research Team Members
Announcement: Accepting New Students!!
If you are interested in doing graduate studies, RA or 4F90 honors thesis under my supervision, please see available Projects ,
or email me at firstname.lastname@example.org , or drop by my office.
- Undergraduate level: COSC 4F90 honors thesis, applicants from computer science department (and Neuro-computing Majors from Brock Center for Neuroscience)
will be considered. Send me an email
or drop by my office for a start date of September, May, January each year.
- Graduate level: Domestic (Canadian citizens or Permanent Residents or Canadian University student): Contact me about potential graduate study
possibilities. Fall start date strongly recommended although I sometimes consider a January start state for domestic students.
- Graduate level: International applicants - to optimize your chances for a Fall term entry (accepting only September start dates), contact me about research
in my group, and make your application by January 15th each year.
Current MSc. Students
- Jay Douglas
- Andrei Fajardo
- Mae Leong (Co-supervised with Prof. Brian Ross)
- Sanjib Biswas
Topic: Multi-objective genetic algorithms for Multi-depot VRP with Time windows
Current PhD Students (U. Pretoria Co-Supervision with Prof. A.P Engelbrecht)
- Kyle Robert Harrison
Topic: Adaptive PSOs
- Alexander Bailey
Current undergraduate COSC 4F90 Thesis Students
- Adam Balint : Competive Coevolution
- Preston A. Engstrom : Community structure detection in social networks
- James Paterson : tba
Completed MSc. students
- Audrey Opoku-Amankwaah
Topic: Using Age Layered Population Structure Genetic Algorithm for scheduling and optimization, 2016.
- Justin Maltese
Topic: A scalaility study and New Algorithms for Large-scale Many-Objective Optimization, 2016.
- Oleg Rybkin
Topic: GA approach for finding rough sets decision rules based on birducts (with Prof. Ivo untsch), 2015.
- Ron Bond
Topic: Characterizing Dynamic Optimization Benchmarks for the Comparison of Multi-Modal Tracking Algorithms,
- Michael Medland
Topic: Object-Oriented Genetic Programming for the Automatic Inference of Graph Models for Complex Networks,
- Kyle Harrison
Topic: Network Similarity Measures and Automatic Construction of Graph Models using Genetic Programming,
- Stephen Y. Asobiela
Topic: Multi-Objective genetic algorithms for the single allocation hub
location problem, 2013.
- Alex Bailey (Co-supervised with
Topic: Genetic Programming for the automatic generation of graph Models for undirected Complex
- Mahmood Edalatmanesh) (Co-supervised with
Topic: Fast Heuristics for the critical node detection problem in
complex networks, 2013
- Arash Iranzad (Co-supervised with
Topic: Hyperspectral Image Classification Using Support Vector Machines,
- Tanaby Zibamanzar Mofrad (Co-supervised
with Prof. Wojcik).
Msc. Thesis:Comparison of the Classification Ability of Hyperball Algorithms with Neural Networks, December 2010.
- Dr. Andrew Runka
Msc. Thesis: Genetic Programming for the RoboCup
Rescue Simulation System, September 2010.
- Dr. Mohammad Naeem
Msc. Thesis: Genetic Algorithms for single allocation hub location problem, December 2009.
- Earl Foxwell
Msc. thesis: Particle swarm optimization for the Design of
Two Connected Networks with Bounded Rings, August 2009.
- Dr. Mario Ventresca
MSc. thesis: The Evolution of Continuous-time and Spiking Recurrent
Neural Networks on Mutation Landscapes, September 2005
Completed 4F90 Honors Thesis/3P99 Projects
- Peter Wilson, 4F90 4F90
- Jay Douglas, 4F90
- Derek Nicholas Dibblee, 4F90
- Justin Maltese, 4F90
- Michael William Young, 4F90
- Nicholas Unger, 4F90, Cooperative Particle Swarm Optimization for Dynamic Environments
- Kyle Harrison, 4F90, Knowledge transfer Strategies for Vector Evaluated PSO
- Adam Stirtan, 4F90, Using Particle Swarms Optimization to evolve Game Strategies
- Alex Bailey, PSO for the capacitated single allocation hub location problem
- Geoff Honsberger, 4F90, Real time traffic path finding and routing
- Andrew Runka, 4F90, Ant-based Optimization in Dynamic Environments.
- Franklin Hanshar, 4F90, Evolutionary vehicle routing optimization in Dynamic Environments.
- Jennifer Miele, 3P99, Genetic Algorithms and Ant-based Algorithms for Ad-hoc networks: A survey.
- Andrew Livingstone, 3P99, Genetic Algorithms for reliable Network design (co-supervise with
- Mario Ventresca, 4F90, Ant Colony Optimization for the Job-Shop Scheduling problem.
- Coy Wong, 4F90, Multiobjective Evolving Neural Networks.
- Jessica Socha, 3P99, Genetic Algorithms, Simulated Annealing and Tabu Search for Data
- Joseph Troop, Ant Colony Optimization for Network design.
- Ed Sykes, Graduate directed study, Intelligent tutoring system.
Past summer Research Assistants
- Adrian Harrington, NSERC USRA award.
Multi-objective genetic algorithms for scheduling outpatient
appointments in a dynamic ebnvironment (in Collaboration with Dr. K.
- Alex Bailey, Experience Plus award.
Hyperheuristics and Scheduling.
- Graham Sharp, NSERC USRA award.
Genetic Programming and Ant Algorithms
- Andrew Runka, NSERC USRA award .
Multi-objective Genetic algorithms and Ant Algorithms applied to Waste
Collection vehicle routing.
- Franklin Hanshar, NSERC USRA award.
Genetic Algorithms for variants of Vehicle Routing
Problems in dynamic and static environments.
- Mario Ventresca, NSERC USRA award.
Genetic algorithms and Ant Algorithms applied to Job shop scheduling