Dr. Beatrice Ombuki-Berman's Current/Recent Students
Current MSc. Students
- Stephen Y. Asobiela
Topic: (TBA) Particle Swarm Optimization for
Multi-Objective Optimization
(Expected 2013)
- Michael Medland
Topic: (TBA) Using Genetic Programming for Complex Networks
(Expected 2013)
- Alex Bailey (Co-supervised with
Dr.Ventresca)
Topic: Using Genetic Programming for Automatic graph generation for
Complex Networks
(Expected 2012)
- Mahmood Edalatmanesh (Co-supervised with
Dr.Ventresca)
Topic: Heuristics for critical node detection in complex networks
(Expected 2012)
- Adam Stirtan
Topic:Self Adaptive Particle Swarm Optimization for Dynamic
Environments
(Expected 2012)
- Allen Poapst (co-supervised with Prof.
Fueten (Geology))
Topic:Artificial Neural Network Based Mineral Identification in Hyperspectral Data
(Expected 2012)
Recent MSc. students
- Tanaby Zibamanzar Mofrad (Co-supervided
with Prof. Wojcik).
Msc. Thesis:Comparison of the Classificatn ioAbility of Hyperball Algorithms to Neural Network and K-Neares
Neighbour Algorithms, December 2010.
(Current position: IT Industry, Ontario)
- Andrew Runka
Msc. Thesis: Genetic Programming for the RoboCup
Rescue Simulation System, September 2010.
(Current position: PhD student at Carlton University, Ontario).
- Mohammad Naeem
Msc. Thesis: Genetic Algorithms for single allocation hub location problem, December 2009.
(Current position: PhD student at University of Guelph, Ontario).
- Earl Foxwell
Msc. thesis: Particle swarm optimization for the Design of
Two Connected Networks with Bounded Rings, August 2009.
(Current Position: Instructor (LTA),
Dept. of Computer Science at Brock).
- Dr. Mario Ventresca (PhD, U. Waterloo, 2009)
MSc. thesis: The Evolution of Continuous-time and Spiking Recurrent
Neural Networks on Mutation Landscapes, September 2005
(Current position: Post-doc at University of Cambridge, UK).
Current Undergraduate Honors Thesis Students
- Kyle Harrion
Knowledge transfer Strategies for Vector Evaluated PSO
- Nicholas Unger
Cooperative PSO for Dynamic Environments
Previous 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. 2006-2008
- Franklin Hanshar, NSERC USRA award.
Genetic Algorithms for variants of Vehicle Routing
Problems in dynamic and static environments. 2003-2005
- Mario Ventresca, NSERC USRA award.
Genetic algorithms and Ant Algorithms applied to Job shop scheduling
2002-2003
Previous 4F90 Honors Thesis/3P99 Projects
Particle Swarm Optimization for the Capacitated Vehicle Routing
Problems
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.