Dr. Beatrice Ombuki-Berman's Current & Recent Research Team Members

Announcement: Accepting New Students!!

• 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 Graduate Students

  • Gina Grossi, PhD
    Topic: TBA

  • Nicholas Aksamit , MSc
    Topic: TBA

  • Ethan Gibbons, MSc
    Topic: TBA

  • Alanna McNulty, MSC
    Topic: TBA

  • Tom Wallance, MSc
    Topic: TBA

  Available Positions (Undergraduate COSC 4F90 Honours Thesis Students)

  • Psotion 1: Start September 2023, Filled
    

  • Position 1: Start September 2023, Filled
    
  • Position 1: Start September 2023, Filled
    
  • Position 1: Start September 2023, Available
    

  • Rikveet Singh Hayes (current), 2021/22
    Topic: Cooperative Particle Swarm Optimization for neural networks training

  Available Summer 2023 Research Assistantship Positions

  • Position 1: Filled, NSERC USRA funded
    
  • Position 2: Filled, NSERC USRA funded
    
  • Position 3: Filled, NSERC funded
    
  • Position 4: under review
    

Completed MSc. students

• Liam McDevitt
  Topic: Fitness Landscape Analysis and Machine Learning based Framework for Meta-heuristic Parameter Performance Prediction, 2023
  (Co-supervision with Dr. Kyle Harrison)

• Tyer Crane
  Analysis of NichePSO for Multi-Modal Optimization Problems, 2022

• Jocko Pawel
  Multi-guided Cooperative PSO for Dynamic Optimization Problems, 2021

• Amirali Madani
  Multi-guided Cooperative PSO for large-scale Optimization Problems, 2021

• Cody Dennis
  Landscape Aware Algorithm Configuration, 2021

• Micthell Clark
  Cooperative PSO for large-scale optimization: A survey

• Reginald McLean
  Analysis of Swarm-based Algorithms for Neural Networks Training, 2019.

• James Paterson
  A Hybdrid Approach to Network Robustness Optimization using Edge Rewiring and Edge Addition, 2019.

• Ruslan Dzhumkaliev
  Topic: PSO for Large-Scale Data Clustering, 2019.

• Jay Douglas
  Topic: Merging and Decomposition Cooperative Particle Swarm Optimization, 2018.

• Sanjib Biswas
  Topic: Multi-objective genetic algorithms for Multi-depot VRP with Time windows, 2017.

• 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, 2015.

• Michael Medland
  Topic: Object-Oriented Genetic Programming for the Automatic Inference of Graph Models for Complex Networks, 2014.
  

• Kyle Harrison
  Topic: Network Similarity Measures and Automatic Construction of Graph Models using Genetic Programming, 2014.

• Stephen Y. Asobiela
  Topic: Multi-Objective genetic algorithms for the single allocation hub location problem, 2013.
  

• Alex Bailey (Co-supervised with Dr.Ventresca)
  Topic: Genetic Programming for the automatic generation of graph Models for undirected Complex Networks, 2013
  

• Mahmood Edalatmanesh) (Co-supervised with Dr.Ventresca)
  Topic: Fast Heuristics for the critical node detection problem in complex networks, 2013
  

• Arash Iranzad (Co-supervised with Dr. Fueten)
  Topic: Hyperspectral Image Classification Using Support Vector Machines, 2013.
  

• 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