About Me

Research: Hybrid Evolutionary and Neural Program Synthesis for Artificial Intelligence

Major: Evolutionary Computation and Intelligent Systems (ECIS) Lab

GPA: 3.88 / 4.30

Project: Development of a Web-Based Project Management Platform using Waterfall Technique

GPA: 3.49 / 4.00

Developing interpretable algorithms using genetic programming to create transparent mathematical models. Investigating model selection criteria and evaluation metrics for symbolic regression, addressing challenges in balancing accuracy, complexity, and generalisability. Building extrapolation models using knowledge distillation and synthetic data generation techniques. Creating decision-making metrics that balance model performance with interpretability for practical uses.

Developed extrapolation models using knowledge distillation and synthetic data, and designed decision-making metrics that balance model performance with interpretability in symbolic regression.

Developed coverage path planning algorithms for autonomous greenhouse robots. Applied Differential Evolution (DE) to optimise interactive interior design. Proposed a many-objective evolutionary algorithm using hierarchical Pareto-dominance. Master's thesis: evolutionary multi/many-objective optimisation for the Next Release Problem using NSGA-II, ISDE+, and IBEA.