MSc Students

Announcement: Accepting New Students!!

If you are interested in PhD/MSc studies, RA or 4F90 honors thesis under my supervision, please see available Projects , or email me at bombuki@brocku.ca , 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

    • Nicholas Aksamit
      Topic: TBA

    • Ethan Gibbons
      Topic: TBA

    • Alanna McNulty
      Topic: TBA

    • Liam McDevitt
      Topic: Fitness Landscape Analysis and Machine Learning for PSO Parameter Perfomance Prediction (Co-supervision with Dr. Kyle Harrison)

  • Available Positions (Undergraduate COSC 4F90 Honours Thesis Students)

    • Psotion 1: Start September 2022, Filled

    • Position 1: Start September 2022, Available

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

  • Available Summer 2022 Research Assistantship Positions

    • Position 1: Filled

    • Position 2: Available

Completed MSc. students

  • 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

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

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 D. Bockus).

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 Compression.

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. Klassen)

  • 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