I am currently a Data Scientist (KTP Associate) for Knowledge Transfer Partnership (KTP) with the N/Lab and the Haydn Green Institute in the Nottingham University Business School and Strategic Innovation Limited (SI).

I completed my PhD at the Computational Optimization and Learning (COL) Lab.

• PhD Thesis: “Automated Design of Local Search Algorithms for Vehicle Routing Problems with Time Windows”. University of Nottingham, 2023.
  • First supervisor: Professor Rong Qu
  • Second supervisor: Professor Dario Landa-Silva

My research interests focus on using AI techniques to support decision-making in sustainable development, particularly in domains such as sustainable transport, energy and food systems.

Quick links to Machine Learning Assisted Evolutionary Computation for Vehicle Routing Problems (ML4VRP)

• Competition website for GECCO’2024
• Competition resources for GECCO’2023

Area of interests

Real world applications:

• Transport Logistic Scheduling and Vehicle Routing
• Sustainable Food Systems

AI Algorithms / techniques:

• Automated Algorithm Design; Hyper-heuristics; Evolutionary Computation
• Machine Learning; Data Mining; Knowledge Explainability

Selected projects

I was a Research Assistant in the Amicable Charging (AMiCC) research project, delivering eco-friendly wireless charging solutions for electric vehicles, with a focus on optimizing the charging infrastructure. The project was led by Professor Lucelia Rodrigues (University of Nottingham).

I recently completed a KTP project as a KTP Associate to develop and deploy novel and advanced hyper-heuristics-based routing technologies for haulage markets. The project was led by Professor Ender Ozcan (University of Nottingham), Dr Ahmed Kheiri (Lancaster University), and Optrak, supported by KTP Scheme under Project No.KTP11692.

Teaching

I was a Teaching Associate in the School of Computer Science at the University of Nottingham.

• Course co-admin and instructor for the Heuristic Optimisation and Learning NATCOR course, 8-12 April 2024.
• Co-conveyed the module Fundamentals of Artificial Intelligence (2023 spring).
• Modules supported: Mathematics for Computer Scientists, Programming and Algorithms, Systems and Architecture, Computer Fundamentals, Operating Systems & Concurrency, Developing Maintainable Software, Simulation and Optimisation for Decision Support, Data Science and Machine Learning, and Machine Learning.